dylanhogg/awesome-python · Datasets at Hugging Face

697

util

https://github.com/openai/openai-python

[]

null

[]

null

openai/openai-python

openai-python

17,664

2,403

249

Python

https://pypi.org/project/openai/

The official Python library for the OpenAI API

openai

2024-01-14

2020-10-25

170

103.731544

https://avatars.githubusercontent.com/u/14957082?v=4

The official Python library for the OpenAI API

['openai']

2024-01-12

[('openai/openai-cookbook', 0.6652215123176575, 'ml', 1), ('langchain-ai/opengpts', 0.6509252190589905, 'llm', 0), ('shishirpatil/gorilla', 0.6225490570068359, 'llm', 0), ('googleapis/google-api-python-client', 0.5968145728111267, 'util', 0), ('fastai/ghapi', 0.5810590982437134, 'util', 0), ('fastai/fastcore', 0.5748746991157532, 'util', 0), ('urwid/urwid', 0.5712311267852783, 'term', 0), ('tebelorg/rpa-python', 0.5686379671096802, 'util', 0), ('kivy/kivy', 0.5627065300941467, 'util', 0), ('vitalik/django-ninja', 0.5567331910133362, 'web', 0), ('huggingface/huggingface_hub', 0.5553815960884094, 'ml', 0), ('pytoolz/toolz', 0.5484781861305237, 'util', 0), ('ipython/ipython', 0.5373437404632568, 'util', 0), ('man-c/pycoingecko', 0.5335339307785034, 'crypto', 0), ('simple-salesforce/simple-salesforce', 0.5326930284500122, 'data', 0), ('berriai/litellm', 0.5291408896446228, 'llm', 1), ('cohere-ai/cohere-python', 0.5279492735862732, 'util', 0), ('open-telemetry/opentelemetry-python', 0.5268572568893433, 'util', 0), ('open-telemetry/opentelemetry-python-contrib', 0.5244234204292297, 'util', 0), ('timofurrer/awesome-asyncio', 0.524164617061615, 'study', 0), ('larsbaunwall/bricky', 0.5239132642745972, 'llm', 1), ('kuimono/openapi-schema-pydantic', 0.52321857213974, 'util', 0), ('falconry/falcon', 0.5228433609008789, 'web', 0), ('kubeflow/fairing', 0.5159801244735718, 'ml-ops', 0), ('xtekky/gpt4free', 0.515657901763916, 'llm', 1), ('nasdaq/data-link-python', 0.5095574855804443, 'finance', 0), ('mitmproxy/pdoc', 0.5083382725715637, 'util', 0), ('hugapi/hug', 0.5053588151931763, 'util', 0), ('dylanhogg/awesome-python', 0.5051689147949219, 'study', 0), ('ta-lib/ta-lib-python', 0.5044464468955994, 'finance', 0), ('pypy/pypy', 0.5010403990745544, 'util', 0), ('cuemacro/findatapy', 0.5010272860527039, 'finance', 0), ('laion-ai/open-assistant', 0.5009532570838928, 'llm', 0), ('mamba-org/quetz', 0.5004561543464661, 'util', 0)]

96

3

null

4.12

536

498

39

0

44

28

44

536

1,076

90

2

72

313

util

https://github.com/pydantic/pydantic

['serialization', 'parsing', 'typing', 'validation']

null

[]

1

null

pydantic/pydantic

pydantic

17,235

1,579

104

Python

https://docs.pydantic.dev

Data validation using Python type hints

pydantic

2024-01-14

2017-05-03

351

48.982948

https://avatars.githubusercontent.com/u/110818415?v=4

Data validation using Python type hints

['hints', 'json-schema', 'parsing', 'pydantic', 'python310', 'python311', 'python312', 'python37', 'python38', 'python39', 'validation']

['hints', 'json-schema', 'parsing', 'pydantic', 'python310', 'python311', 'python312', 'python37', 'python38', 'python39', 'serialization', 'typing', 'validation']

2024-01-12

[('pyeve/cerberus', 0.7001333832740784, 'data', 0), ('python-odin/odin', 0.6526608467102051, 'util', 1), ('facebook/pyre-check', 0.6196001768112183, 'typing', 0), ('marshmallow-code/marshmallow', 0.606956422328949, 'util', 2), ('patrick-kidger/torchtyping', 0.5341143012046814, 'typing', 1), ('andialbrecht/sqlparse', 0.534013569355011, 'data', 0), ('agronholm/typeguard', 0.5333467721939087, 'typing', 0), ('wtforms/wtforms', 0.5329594612121582, 'web', 1), ('pylons/colander', 0.531548798084259, 'util', 2), ('collerek/ormar', 0.5280044078826904, 'data', 1), ('omry/omegaconf', 0.5237911343574524, 'util', 0), ('mkdocstrings/griffe', 0.5223087072372437, 'util', 0), ('tiangolo/sqlmodel', 0.5132742524147034, 'data', 2), ('microsoft/pyright', 0.5103999376296997, 'typing', 0), ('strawberry-graphql/strawberry', 0.5045525431632996, 'web', 0), ('instagram/libcst', 0.5014991164207458, 'util', 0)]

466

3

null

23.17

893

695

82

0

33

19

33

893

2,136

90

2.4

72

493

pandas

https://github.com/duckdb/duckdb

['arrow', 'dataframe']

null

[]

1

null

duckdb/duckdb

duckdb

13,828

1,273

161

C++

http://www.duckdb.org

DuckDB is an in-process SQL OLAP Database Management System

duckdb

2024-01-14

2018-06-26

292

47.356164

https://avatars.githubusercontent.com/u/82039556?v=4

DuckDB is an in-process SQL OLAP Database Management System

['analytics', 'database', 'embedded-database', 'olap', 'sql']

['analytics', 'arrow', 'database', 'dataframe', 'embedded-database', 'olap', 'sql']

2024-01-12

[('duckdb/dbt-duckdb', 0.6090986132621765, 'data', 0), ('mause/duckdb_engine', 0.510148286819458, 'data', 1)]

354

2

null

265.73

1,220

950

68

0

7

1,220

2,333

90

1.9

72

1,237

llm

https://github.com/idea-research/grounded-segment-anything

[]

null

[]

null

idea-research/grounded-segment-anything

Grounded-Segment-Anything

12,205

1,094

111

Jupyter Notebook

null

Grounded-SAM: Marrying Grounding-DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

idea-research

2024-01-14

2023-04-06

42

285.735786

https://avatars.githubusercontent.com/u/113572103?v=4

Grounded-SAM: Marrying Grounding-DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

['3d-whole-body-pose-estimation', 'automatic-labeling-system', 'caption', 'data-generation', 'image-editing', 'open-vocabulary-detection', 'open-vocabulary-segmentation', 'speech']

2023-12-31

[('idea-research/groundingdino', 0.6477982997894287, 'diffusion', 0), ('roboflow/notebooks', 0.6104524731636047, 'study', 3), ('open-mmlab/mmediting', 0.5329544544219971, 'ml', 1), ('roboflow/supervision', 0.525745153427124, 'ml', 0)]

44

7

null

4.52

79

31

9

0

79

112

90

1.4

72

1,596

llm

https://github.com/paddlepaddle/paddlenlp

[]

null

[]

null

paddlepaddle/paddlenlp

PaddleNLP

10,831

2,753

100

Python

https://paddlenlp.readthedocs.io

👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis etc.

paddlepaddle

2024-01-14

2021-02-05

155

69.620753

https://avatars.githubusercontent.com/u/23534030?v=4

👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis etc.

['bert', 'compression', 'distributed-training', 'document-intelligence', 'embedding', 'ernie', 'information-extraction', 'llama', 'llm', 'neural-search', 'nlp', 'paddlenlp', 'pretrained-models', 'question-answering', 'search-engine', 'semantic-analysis', 'sentiment-analysis', 'transformers', 'uie']

2024-01-12

[('llmware-ai/llmware', 0.7560280561447144, 'llm', 4), ('neuml/txtai', 0.7093960642814636, 'nlp', 5), ('explosion/spacy-llm', 0.691947877407074, 'llm', 3), ('alibaba/easynlp', 0.6783795952796936, 'nlp', 4), ('deepset-ai/haystack', 0.6606729626655579, 'llm', 4), ('extreme-bert/extreme-bert', 0.6498593091964722, 'llm', 2), ('deepset-ai/farm', 0.6488863229751587, 'nlp', 4), ('young-geng/easylm', 0.6431230902671814, 'llm', 1), ('jina-ai/finetuner', 0.6416314840316772, 'ml', 3), ('huggingface/transformers', 0.6394706964492798, 'nlp', 3), ('mooler0410/llmspracticalguide', 0.632652759552002, 'study', 1), ('lianjiatech/belle', 0.6276019811630249, 'llm', 1), ('intellabs/fastrag', 0.6250779628753662, 'nlp', 4), ('ddangelov/top2vec', 0.6133404970169067, 'nlp', 1), ('freedomintelligence/llmzoo', 0.6110307574272156, 'llm', 0), ('dylanhogg/awesome-python', 0.6097233295440674, 'study', 1), ('bigscience-workshop/petals', 0.6069114804267883, 'data', 3), ('argilla-io/argilla', 0.6045259833335876, 'nlp', 2), ('maartengr/bertopic', 0.6038503050804138, 'nlp', 3), ('infinitylogesh/mutate', 0.6022129654884338, 'nlp', 0), ('bobazooba/xllm', 0.6009507775306702, 'llm', 2), ('jina-ai/clip-as-service', 0.5931671261787415, 'nlp', 2), ('norskregnesentral/skweak', 0.592394232749939, 'nlp', 0), ('explosion/spacy-models', 0.5910124182701111, 'nlp', 1), ('explosion/spacy', 0.5861974954605103, 'nlp', 1), ('tigerlab-ai/tiger', 0.5830023884773254, 'llm', 1), ('graykode/nlp-tutorial', 0.5823931097984314, 'study', 2), ('thilinarajapakse/simpletransformers', 0.5818993449211121, 'nlp', 2), ('eleutherai/the-pile', 0.5773162841796875, 'data', 1), ('salesforce/xgen', 0.5755364894866943, 'llm', 2), ('allenai/allennlp', 0.5729801058769226, 'nlp', 1), ('deeppavlov/deeppavlov', 0.5695449113845825, 'nlp', 2), ('explosion/thinc', 0.5689855217933655, 'ml-dl', 1), ('intel/intel-extension-for-transformers', 0.5665012001991272, 'perf', 0), ('lm-sys/fastchat', 0.5656995177268982, 'llm', 0), ('night-chen/toolqa', 0.5650957822799683, 'llm', 1), ('hiyouga/llama-factory', 0.5635750889778137, 'llm', 3), ('hiyouga/llama-efficient-tuning', 0.5635749697685242, 'llm', 3), ('pathwaycom/llm-app', 0.5630315542221069, 'llm', 1), ('paddlepaddle/rocketqa', 0.560157835483551, 'nlp', 2), ('sloria/textblob', 0.559609591960907, 'nlp', 1), ('nltk/nltk', 0.5588723421096802, 'nlp', 1), ('eugeneyan/obsidian-copilot', 0.5580410361289978, 'llm', 1), ('confident-ai/deepeval', 0.556614100933075, 'testing', 1), ('nebuly-ai/nebullvm', 0.556330144405365, 'perf', 1), ('rasahq/rasa', 0.556032121181488, 'llm', 1), ('lucidrains/toolformer-pytorch', 0.5539929866790771, 'llm', 1), ('zilliztech/gptcache', 0.5492423176765442, 'llm', 2), ('titanml/takeoff', 0.5484669208526611, 'llm', 2), ('hannibal046/awesome-llm', 0.5444208383560181, 'study', 0), ('jonasgeiping/cramming', 0.5425843596458435, 'nlp', 0), ('alphasecio/langchain-examples', 0.5416777729988098, 'llm', 1), ('nomic-ai/gpt4all', 0.5397657155990601, 'llm', 0), ('explosion/spacy-transformers', 0.539587140083313, 'llm', 2), ('lexpredict/lexpredict-lexnlp', 0.5384023189544678, 'nlp', 1), ('dylanhogg/llmgraph', 0.5368094444274902, 'ml', 1), ('rcgai/simplyretrieve', 0.5365450978279114, 'llm', 1), ('flairnlp/flair', 0.5343381762504578, 'nlp', 1), ('huggingface/text-generation-inference', 0.531993567943573, 'llm', 1), ('ludwig-ai/ludwig', 0.5312443971633911, 'ml-ops', 2), ('chroma-core/chroma', 0.5298216938972473, 'data', 0), ('milvus-io/bootcamp', 0.528664767742157, 'data', 2), ('muennighoff/sgpt', 0.5275580286979675, 'llm', 1), ('christoschristofidis/awesome-deep-learning', 0.5255681872367859, 'study', 0), ('keras-team/keras-nlp', 0.5255599021911621, 'nlp', 1), ('cheshire-cat-ai/core', 0.5240945219993591, 'llm', 1), ('koaning/whatlies', 0.5240222215652466, 'nlp', 1), ('mlc-ai/web-llm', 0.5234134197235107, 'llm', 1), ('bigscience-workshop/megatron-deepspeed', 0.5230602622032166, 'llm', 0), ('microsoft/megatron-deepspeed', 0.5230602622032166, 'llm', 0), ('activeloopai/deeplake', 0.5191996693611145, 'ml-ops', 1), ('nvidia/deeplearningexamples', 0.5180720090866089, 'ml-dl', 1), ('docarray/docarray', 0.517856240272522, 'data', 1), ('huggingface/datasets', 0.5161171555519104, 'nlp', 1), ('databrickslabs/dolly', 0.5159105062484741, 'llm', 0), ('lancedb/lancedb', 0.5152085423469543, 'data', 1), ('microsoft/unilm', 0.5151917338371277, 'nlp', 2), ('tatsu-lab/stanford_alpaca', 0.5149617195129395, 'llm', 0), ('sebischair/lbl2vec', 0.514652669429779, 'nlp', 1), ('hegelai/prompttools', 0.514409065246582, 'llm', 0), ('whu-zqh/chatgpt-vs.-bert', 0.5144068002700806, 'llm', 1), ('cg123/mergekit', 0.5143988132476807, 'llm', 2), ('microsoft/generative-ai-for-beginners', 0.5129956603050232, 'study', 1), ('reasoning-machines/pal', 0.5125070214271545, 'llm', 0), ('bytedance/lightseq', 0.5104448199272156, 'nlp', 1), ('hwchase17/langchain', 0.5097209215164185, 'llm', 0), ('ukplab/sentence-transformers', 0.5090245604515076, 'nlp', 0), ('kagisearch/vectordb', 0.5087656378746033, 'data', 1), ('franck-dernoncourt/neuroner', 0.5083341598510742, 'nlp', 1), ('shishirpatil/gorilla', 0.5080721378326416, 'llm', 1), ('maartengr/keybert', 0.5080262422561646, 'nlp', 1), ('fasteval/fasteval', 0.507324755191803, 'llm', 1), ('qdrant/fastembed', 0.5066239833831787, 'ml', 0), ('mindsdb/mindsdb', 0.5058019161224365, 'data', 1), ('plasticityai/magnitude', 0.5057362914085388, 'nlp', 1), ('baichuan-inc/baichuan-13b', 0.5055248141288757, 'llm', 0), ('squeezeailab/squeezellm', 0.5054431557655334, 'llm', 2), ('lightning-ai/lit-llama', 0.5034503936767578, 'llm', 1), ('openlmlab/moss', 0.5025514364242554, 'llm', 0), ('iryna-kondr/scikit-llm', 0.5023376941680908, 'llm', 2), ('microsoft/autogen', 0.5008726119995117, 'llm', 0), ('ofa-sys/ofa', 0.500640332698822, 'llm', 1), ('nomic-ai/semantic-search-app-template', 0.5003646016120911, 'study', 0), ('princeton-nlp/alce', 0.5002155900001526, 'llm', 0)]

250

4

null

28.73

858

528

36

0

7

15

7

858

1,398

90

1.6

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1,521

nlp

https://github.com/facebookresearch/seamless_communication

['text-to-speech', 'speech-to-text']

null

[]

null

facebookresearch/seamless_communication

seamless_communication

9,358

954

140

Jupyter Notebook

null

Foundational Models for State-of-the-Art Speech and Text Translation

facebookresearch

2024-01-14

2023-08-01

26

359.923077

https://avatars.githubusercontent.com/u/16943930?v=4

Foundational Models for State-of-the-Art Speech and Text Translation

[]

['speech-to-text', 'text-to-speech']

2024-01-11

[('pndurette/gtts', 0.5938905477523804, 'util', 1), ('openai/whisper', 0.5865522623062134, 'ml-dl', 1), ('suno-ai/bark', 0.553849995136261, 'ml', 0), ('juncongmoo/pyllama', 0.5527052879333496, 'llm', 0), ('nateshmbhat/pyttsx3', 0.5521857142448425, 'util', 1), ('next-gpt/next-gpt', 0.5332794785499573, 'llm', 0), ('infinitylogesh/mutate', 0.5298645496368408, 'nlp', 0), ('m-bain/whisperx', 0.5283752083778381, 'nlp', 1), ('thudm/chatglm-6b', 0.5281906127929688, 'llm', 0), ('nvidia/nemo', 0.5158795714378357, 'nlp', 2), ('gunthercox/chatterbot-corpus', 0.5149349570274353, 'nlp', 0), ('espnet/espnet', 0.5085058212280273, 'nlp', 0), ('openlmlab/moss', 0.5070318579673767, 'llm', 0), ('ai21labs/lm-evaluation', 0.505820631980896, 'llm', 0), ('huggingface/text-generation-inference', 0.5040040612220764, 'llm', 0)]

29

6

null

1.79

159

85

6

0

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174

90

1.1

72

1,901

util

https://github.com/mitsuhiko/rye

['dependency-manager', 'packaging', 'package-manager']

null

[]

null

mitsuhiko/rye

rye

7,781

197

46

Rust

https://rye-up.com

An Experimental Package Management Solution for Python

mitsuhiko

2024-01-17

2023-04-22

40

192.462898

null

An Experimental Package Management Solution for Python

['package-manager', 'packaging']

['dependency-manager', 'package-manager', 'packaging']

2024-01-16

[('indygreg/pyoxidizer', 0.8726885914802551, 'util', 2), ('python-poetry/poetry', 0.8581348657608032, 'util', 3), ('pypa/flit', 0.825670599937439, 'util', 2), ('pomponchik/instld', 0.748336672782898, 'util', 1), ('pdm-project/pdm', 0.7408201694488525, 'util', 2), ('pypa/hatch', 0.7138620615005493, 'util', 2), ('regebro/pyroma', 0.661931574344635, 'util', 1), ('pyodide/micropip', 0.6547753810882568, 'util', 0), ('pypi/warehouse', 0.6509472131729126, 'util', 0), ('mamba-org/mamba', 0.6489464044570923, 'util', 2), ('tox-dev/pipdeptree', 0.5925803780555725, 'util', 0), ('tezromach/python-package-template', 0.5775073170661926, 'template', 0), ('jazzband/pip-tools', 0.5770611763000488, 'util', 1), ('ofek/pyapp', 0.575480043888092, 'util', 1), ('spack/spack', 0.5651411414146423, 'util', 1), ('tiangolo/poetry-version-plugin', 0.5633344054222107, 'util', 1), ('conda/conda', 0.5606615543365479, 'util', 2), ('ivankorobkov/python-inject', 0.5525853037834167, 'util', 0), ('pytables/pytables', 0.54390549659729, 'data', 0), ('python-injector/injector', 0.5345786213874817, 'util', 0), ('mamba-org/gator', 0.5343549847602844, 'jupyter', 0), ('beeware/briefcase', 0.5340247750282288, 'util', 0), ('pypa/pipenv', 0.5276722311973572, 'util', 1), ('pypa/installer', 0.5275384187698364, 'util', 0), ('omry/omegaconf', 0.5054756999015808, 'util', 0), ('thoth-station/micropipenv', 0.5018079280853271, 'util', 0), ('mgedmin/check-manifest', 0.5007199645042419, 'util', 0)]

52

3

null

8

60

33

9

0

21

30

21

60

104

90

1.7

72

1,193

llm

https://github.com/thudm/chatglm-6b

['language-model']

null

[]

null

thudm/chatglm-6b

ChatGLM-6B

37,146

4,974

382

Python

null

ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

thudm

2024-01-14

2023-03-13

46

805.021672

https://avatars.githubusercontent.com/u/48590610?v=4

ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

[]

['language-model']

2023-10-27

[('thudm/chatglm2-6b', 0.7089318633079529, 'llm', 0), ('gunthercox/chatterbot-corpus', 0.6088327765464783, 'nlp', 0), ('thudm/glm-130b', 0.5821515321731567, 'llm', 0), ('freedomintelligence/llmzoo', 0.5757870674133301, 'llm', 1), ('keirp/automatic_prompt_engineer', 0.5738417506217957, 'llm', 1), ('openlmlab/moss', 0.556516170501709, 'llm', 1), ('suno-ai/bark', 0.552562415599823, 'ml', 0), ('mit-han-lab/streaming-llm', 0.5384843945503235, 'llm', 0), ('ctlllll/llm-toolmaker', 0.536123514175415, 'llm', 1), ('lm-sys/fastchat', 0.5337995290756226, 'llm', 1), ('baichuan-inc/baichuan-13b', 0.5303475856781006, 'llm', 0), ('guidance-ai/guidance', 0.5300068259239197, 'llm', 1), ('facebookresearch/seamless_communication', 0.5281906127929688, 'nlp', 0), ('srush/minichain', 0.5271021127700806, 'llm', 0), ('ai21labs/lm-evaluation', 0.5155556201934814, 'llm', 1)]

49

4

null

5.29

97

36

10

3

0

97

112

90

1.2

71

1,104

llm

https://github.com/openai/chatgpt-retrieval-plugin

[]

null

[]

null

openai/chatgpt-retrieval-plugin

chatgpt-retrieval-plugin

20,419

3,796

323

Python

null

The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.

openai

2024-01-13

2023-03-23

44

456.654952

https://avatars.githubusercontent.com/u/14957082?v=4

The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.

['chatgpt', 'chatgpt-plugins']

2023-12-04

[('langchain-ai/chat-langchain', 0.5608171820640564, 'llm', 0), ('run-llama/rags', 0.5382370948791504, 'llm', 1), ('rcgai/simplyretrieve', 0.5177233815193176, 'llm', 0), ('killianlucas/open-interpreter', 0.5168745517730713, 'llm', 1), ('h2oai/h2ogpt', 0.5049951076507568, 'llm', 1)]

39

6

null

1.73

44

18

10

1

0

44

33

90

0.8

71

327

security

https://github.com/aquasecurity/trivy

[]

null

[]

null

aquasecurity/trivy

trivy

19,961

2,005

166

Go

https://aquasecurity.github.io/trivy

Find vulnerabilities, misconfigurations, secrets, SBOM in containers, Kubernetes, code repositories, clouds and more

aquasecurity

2024-01-13

2019-04-11

250

79.616524

https://avatars.githubusercontent.com/u/12783832?v=4

Find vulnerabilities, misconfigurations, secrets, SBOM in containers, Kubernetes, code repositories, clouds and more

['containers', 'devsecops', 'docker', 'go', 'golang', 'iac', 'infrastructure-as-code', 'kubernetes', 'misconfiguration', 'security', 'security-tools', 'vulnerability', 'vulnerability-detection', 'vulnerability-scanners']

2024-01-12

[('gefyrahq/gefyra', 0.6041578054428101, 'util', 3), ('pytest-dev/pytest-testinfra', 0.538640558719635, 'testing', 3), ('aswinnnn/pyscan', 0.5372655987739563, 'security', 4), ('tiiuae/sbomnix', 0.5336388945579529, 'util', 2), ('chaostoolkit/chaostoolkit', 0.5057849287986755, 'util', 0)]

355

2

null

13.77

409

306

58

0

27

28

27

409

603

90

1.5

71

372

ml-dl

https://github.com/pyg-team/pytorch_geometric

[]

null

[]

null

pyg-team/pytorch_geometric

pytorch_geometric

19,351

3,467

252

Python

https://pyg.org

Graph Neural Network Library for PyTorch

pyg-team

2024-01-14

2017-10-06

329

58.715648

https://avatars.githubusercontent.com/u/89995122?v=4

Graph Neural Network Library for PyTorch

['deep-learning', 'geometric-deep-learning', 'graph-convolutional-networks', 'graph-neural-networks', 'pytorch']

2024-01-13

[('dmlc/dgl', 0.7811087965965271, 'ml-dl', 2), ('danielegrattarola/spektral', 0.7439136505126953, 'ml-dl', 2), ('pytorch/ignite', 0.7287918925285339, 'ml-dl', 2), ('hazyresearch/hgcn', 0.6979220509529114, 'ml', 0), ('mrdbourke/pytorch-deep-learning', 0.6894313097000122, 'study', 2), ('a-r-j/graphein', 0.6886248588562012, 'sim', 4), ('stellargraph/stellargraph', 0.6726529002189636, 'graph', 4), ('graphistry/pygraphistry', 0.6707996129989624, 'data', 0), ('skorch-dev/skorch', 0.6679598093032837, 'ml-dl', 1), ('chandlerbang/awesome-self-supervised-gnn', 0.6452118158340454, 'study', 2), ('rasbt/machine-learning-book', 0.6416996121406555, 'study', 2), ('intel/intel-extension-for-pytorch', 0.6297549605369568, 'perf', 2), ('rampasek/graphgps', 0.6243663430213928, 'graph', 0), ('denys88/rl_games', 0.618355929851532, 'ml-rl', 2), ('cvxgrp/pymde', 0.6165646910667419, 'ml', 1), ('tensorlayer/tensorlayer', 0.6017088294029236, 'ml-rl', 1), ('kornia/kornia', 0.5945971012115479, 'ml-dl', 2), ('facebookresearch/pytorch3d', 0.5885642766952515, 'ml-dl', 0), ('allenai/allennlp', 0.5823215246200562, 'nlp', 2), ('nicolas-chaulet/torch-points3d', 0.580845832824707, 'ml', 0), ('accenture/ampligraph', 0.58009934425354, 'data', 0), ('intellabs/bayesian-torch', 0.5782586932182312, 'ml', 2), ('pytorch/rl', 0.5780683755874634, 'ml-rl', 1), ('pytorch/torchrec', 0.570334255695343, 'ml-dl', 2), ('nvidia/apex', 0.5672152042388916, 'ml-dl', 0), ('rucaibox/recbole', 0.566724419593811, 'ml', 3), ('xl0/lovely-tensors', 0.5648797154426575, 'ml-dl', 2), ('benedekrozemberczki/tigerlily', 0.561957597732544, 'ml-dl', 1), ('keras-team/keras', 0.5601423978805542, 'ml-dl', 2), ('google-deepmind/materials_discovery', 0.5600719451904297, 'sim', 0), ('lucidrains/imagen-pytorch', 0.5598738193511963, 'ml-dl', 1), ('nyandwi/modernconvnets', 0.5547471046447754, 'ml-dl', 0), ('pytorch/data', 0.5495861768722534, 'data', 0), ('lutzroeder/netron', 0.5430858731269836, 'ml', 2), ('huggingface/transformers', 0.538887619972229, 'nlp', 2), ('karpathy/micrograd', 0.5318362712860107, 'study', 0), ('aistream-peelout/flow-forecast', 0.5282737016677856, 'time-series', 2), ('rentruewang/koila', 0.5282607674598694, 'ml', 2), ('neuralmagic/sparseml', 0.5272446274757385, 'ml-dl', 1), ('oml-team/open-metric-learning', 0.5263068079948425, 'ml', 2), ('horovod/horovod', 0.5256267189979553, 'ml-ops', 2), ('nvlabs/gcvit', 0.5232054591178894, 'diffusion', 1), ('huggingface/huggingface_hub', 0.5223245620727539, 'ml', 2), ('microsoft/deepspeed', 0.5219319462776184, 'ml-dl', 2), ('thu-ml/tianshou', 0.5205722451210022, 'ml-rl', 1), ('hysts/pytorch_image_classification', 0.5179129242897034, 'ml-dl', 1), ('explosion/thinc', 0.516636073589325, 'ml-dl', 2), ('tensorflow/tensorflow', 0.5166094899177551, 'ml-dl', 1), ('lightly-ai/lightly', 0.5151110887527466, 'ml', 2), ('ggerganov/ggml', 0.5148559212684631, 'ml', 0), ('huggingface/accelerate', 0.514308750629425, 'ml', 0), ('h4kor/graph-force', 0.5138907432556152, 'graph', 0), ('ageron/handson-ml2', 0.5134172439575195, 'ml', 0), ('google-research/deeplab2', 0.5118420720100403, 'ml', 0), ('ashleve/lightning-hydra-template', 0.5103349089622498, 'util', 2), ('arogozhnikov/einops', 0.5090392231941223, 'ml-dl', 2), ('mdbloice/augmentor', 0.5032522678375244, 'ml', 1), ('pytorch/pytorch', 0.503031313419342, 'ml-dl', 1), ('pygraphviz/pygraphviz', 0.502930760383606, 'viz', 0), ('pyro-ppl/pyro', 0.5015919208526611, 'ml-dl', 2), ('kevinmusgrave/pytorch-metric-learning', 0.501497745513916, 'ml', 2), ('uber/petastorm', 0.5014254450798035, 'data', 2)]

477

6

null

20.87

535

427

76

0

3

6

3

535

785

90

1.5

71

599

web

https://github.com/pyscript/pyscript

['pyodide', 'cpython', 'wasm', 'webassembly']

A framework that allows users to create rich Python applications in the browser using HTML's interface and the power of Pyodide, WASM, and modern web technologies.

[]

null

pyscript/pyscript

pyscript

17,260

1,434

167

Python

https://pyscript.net/

Try PyScript: https://pyscript.com Examples: https://tinyurl.com/pyscript-examples Community: https://discord.gg/HxvBtukrg2

pyscript

2024-01-14

2022-02-21

101

170.649718

https://avatars.githubusercontent.com/u/100553281?v=4

Try PyScript: https://pyscript.com Examples: https://tinyurl.com/pyscript-examples Community: https://discord.gg/HxvBtukrg2

['html', 'javascript', 'wasm']

['cpython', 'html', 'javascript', 'pyodide', 'wasm', 'webassembly']

2024-01-13

[('masoniteframework/masonite', 0.6563617587089539, 'web', 0), ('pyscript/pyscript-cli', 0.606472909450531, 'web', 0), ('pywebio/pywebio', 0.5674092173576355, 'web', 0), ('bokeh/bokeh', 0.5267843008041382, 'viz', 1), ('killianlucas/open-interpreter', 0.5255423784255981, 'llm', 1), ('pyodide/pyodide', 0.5230824947357178, 'util', 3), ('microsoft/playwright-python', 0.5149538516998291, 'testing', 0), ('r0x0r/pywebview', 0.5112079381942749, 'gui', 2)]

116

1

null

6.25

181

166

23

0

6

5

6

181

340

90

1.9

71

888

diffusion

https://github.com/apple/ml-stable-diffusion

[]

null

[]

null

apple/ml-stable-diffusion

ml-stable-diffusion

15,566

835

134

Python

null

Stable Diffusion with Core ML on Apple Silicon

apple

2024-01-14

2022-11-16

62

247.640909

https://avatars.githubusercontent.com/u/10639145?v=4

Stable Diffusion with Core ML on Apple Silicon

[]

2023-11-14

[('divamgupta/diffusionbee-stable-diffusion-ui', 0.5508177876472473, 'diffusion', 0), ('ml-explore/mlx', 0.5221449136734009, 'ml', 0), ('divamgupta/stable-diffusion-tensorflow', 0.5180650949478149, 'diffusion', 0), ('carson-katri/dream-textures', 0.5164445042610168, 'diffusion', 0)]

31

4

null

1.37

40

17

14

2

5

40

104

90

2.6

71

39

jupyter

https://github.com/jupyterlab/jupyterlab

[]

null

[]

null

jupyterlab/jupyterlab

jupyterlab

13,540

2,973

315

TypeScript

https://jupyterlab.readthedocs.io/

JupyterLab computational environment.

jupyterlab

2024-01-14

2016-06-03

399

33.886307

https://avatars.githubusercontent.com/u/22800682?v=4

JupyterLab computational environment.

['jupyter', 'jupyterlab']

2024-01-13

[('jupyterlab/jupyterlab-desktop', 0.7525447607040405, 'jupyter', 2), ('ipython/ipyparallel', 0.6818181872367859, 'perf', 1), ('jupyter/notebook', 0.669508159160614, 'jupyter', 1), ('ipython/ipykernel', 0.662561297416687, 'util', 1), ('jupyter/nbformat', 0.6569828987121582, 'jupyter', 0), ('jupyterlite/jupyterlite', 0.6288254261016846, 'jupyter', 2), ('jupyter-widgets/ipywidgets', 0.6188204884529114, 'jupyter', 0), ('mamba-org/gator', 0.6041745543479919, 'jupyter', 0), ('jupyter/nbconvert', 0.5970379710197449, 'jupyter', 0), ('vizzuhq/ipyvizzu', 0.5963035821914673, 'jupyter', 1), ('jupyter-lsp/jupyterlab-lsp', 0.5912031531333923, 'jupyter', 2), ('mwouts/jupytext', 0.5835863947868347, 'jupyter', 1), ('chaoleili/jupyterlab_tensorboard', 0.5774864554405212, 'jupyter', 1), ('jakevdp/pythondatasciencehandbook', 0.5746160745620728, 'study', 0), ('jupyterlab/jupyter-ai', 0.5743774771690369, 'jupyter', 2), ('voila-dashboards/voila', 0.5699175596237183, 'jupyter', 1), ('koaning/drawdata', 0.569868266582489, 'jupyter', 1), ('maartenbreddels/ipyvolume', 0.5636622309684753, 'jupyter', 1), ('quantopian/qgrid', 0.5634688138961792, 'jupyter', 0), ('nteract/testbook', 0.5517867207527161, 'jupyter', 0), ('computationalmodelling/nbval', 0.5462405681610107, 'jupyter', 0), ('fchollet/deep-learning-with-python-notebooks', 0.5447031259536743, 'study', 0), ('cohere-ai/notebooks', 0.5374837517738342, 'llm', 0), ('jupyter-widgets/ipyleaflet', 0.523621678352356, 'gis', 1), ('aws/graph-notebook', 0.5233699083328247, 'jupyter', 1), ('bloomberg/ipydatagrid', 0.518395185470581, 'jupyter', 0), ('ageron/handson-ml2', 0.5005123019218445, 'ml', 0)]

577

8

null

22.79

1,042

801

93

0

35

4,883

35

1,042

1,691

90

1.6

71

1,560

ml

https://github.com/ggerganov/ggml

[]

null

[]

null

ggerganov/ggml

ggml

8,536

822

109

C

null

Tensor library for machine learning

ggerganov

2024-01-14

2022-09-18

71

119.743487

null

Tensor library for machine learning

['automatic-differentiation', 'large-language-models', 'machine-learning', 'tensor-algebra']

2024-01-13

[('tensorly/tensorly', 0.7053402066230774, 'ml-dl', 2), ('arogozhnikov/einops', 0.674818754196167, 'ml-dl', 0), ('xl0/lovely-tensors', 0.6742641925811768, 'ml-dl', 0), ('rafiqhasan/auto-tensorflow', 0.6585282683372498, 'ml-dl', 1), ('pytorch/pytorch', 0.6398614645004272, 'ml-dl', 1), ('nvidia/tensorrt-llm', 0.6161227822303772, 'viz', 0), ('google/tf-quant-finance', 0.6140791773796082, 'finance', 0), ('keras-team/autokeras', 0.6085128784179688, 'ml-dl', 1), ('tensorflow/tensorflow', 0.6057413816452026, 'ml-dl', 1), ('karpathy/micrograd', 0.6055065393447876, 'study', 0), ('pytorch/ignite', 0.6042031645774841, 'ml-dl', 1), ('huggingface/transformers', 0.6029016375541687, 'nlp', 1), ('skorch-dev/skorch', 0.5978483557701111, 'ml-dl', 1), ('tensorflow/similarity', 0.5696033239364624, 'ml-dl', 1), ('patrick-kidger/torchtyping', 0.5691167712211609, 'typing', 0), ('horovod/horovod', 0.5658283829689026, 'ml-ops', 1), ('ageron/handson-ml2', 0.5649846196174622, 'ml', 0), ('intel/intel-extension-for-pytorch', 0.5619326233863831, 'perf', 1), ('aws/sagemaker-python-sdk', 0.5583137273788452, 'ml', 1), ('d2l-ai/d2l-en', 0.5564393997192383, 'study', 1), ('rasbt/machine-learning-book', 0.5550714135169983, 'study', 1), ('tensorflow/mesh', 0.5549049973487854, 'ml-dl', 0), ('tensorlayer/tensorlayer', 0.548178493976593, 'ml-rl', 0), ('neuralmagic/sparseml', 0.5481603741645813, 'ml-dl', 0), ('rasbt/mlxtend', 0.5479773283004761, 'ml', 1), ('oml-team/open-metric-learning', 0.5477278232574463, 'ml', 0), ('huggingface/exporters', 0.5472779870033264, 'ml', 1), ('microsoft/flaml', 0.5470587611198425, 'ml', 1), ('uber/petastorm', 0.5469512939453125, 'data', 1), ('mrdbourke/pytorch-deep-learning', 0.5461394190788269, 'study', 1), ('microsoft/nni', 0.5407408475875854, 'ml', 1), ('huggingface/datasets', 0.5396940112113953, 'nlp', 1), ('probml/pyprobml', 0.536136269569397, 'ml', 1), ('lightly-ai/lightly', 0.5310502052307129, 'ml', 1), ('explosion/thinc', 0.5289695858955383, 'ml-dl', 1), ('nvidia/deeplearningexamples', 0.5287749171257019, 'ml-dl', 1), ('tensorflow/data-validation', 0.525627076625824, 'ml-ops', 0), ('tensorflow/addons', 0.525490939617157, 'ml', 1), ('hannibal046/awesome-llm', 0.5245451927185059, 'study', 0), ('timdettmers/bitsandbytes', 0.5234319567680359, 'util', 0), ('huggingface/huggingface_hub', 0.5206968188285828, 'ml', 1), ('tensorflow/tensor2tensor', 0.519944965839386, 'ml', 1), ('pycaret/pycaret', 0.5191986560821533, 'ml', 1), ('scikit-learn-contrib/lightning', 0.5173808336257935, 'ml', 1), ('keras-team/keras-nlp', 0.5159798860549927, 'nlp', 1), ('pyg-team/pytorch_geometric', 0.5148559212684631, 'ml-dl', 0), ('nccr-itmo/fedot', 0.5140013098716736, 'ml-ops', 1), ('huggingface/evaluate', 0.5103128552436829, 'ml', 1), ('keras-rl/keras-rl', 0.5087230205535889, 'ml-rl', 1), ('optimalscale/lmflow', 0.5078336596488953, 'llm', 0), ('determined-ai/determined', 0.5071011185646057, 'ml-ops', 1), ('microsoft/lora', 0.5070888996124268, 'llm', 0), ('keras-team/keras', 0.5067704319953918, 'ml-dl', 1), ('fchollet/deep-learning-with-python-notebooks', 0.5067695379257202, 'study', 0), ('ray-project/ray', 0.505761981010437, 'ml-ops', 1), ('rasbt/deeplearning-models', 0.5030370354652405, 'ml-dl', 0), ('pytorch/rl', 0.5019291043281555, 'ml-rl', 1)]

112

7

null

9.9

129

85

16

0

129

422

90

3.3

71

1,196

llm

https://github.com/mlc-ai/web-llm

[]

null

[]

null

mlc-ai/web-llm

web-llm

8,186

493

92

TypeScript

https://mlc.ai/web-llm

Bringing large-language models and chat to web browsers. Everything runs inside the browser with no server support.

mlc-ai

2024-01-13

2023-04-13

41

196.239726

https://avatars.githubusercontent.com/u/106173866?v=4

Bringing large-language models and chat to web browsers. Everything runs inside the browser with no server support.

['chatgpt', 'deep-learning', 'language-model', 'llm', 'tvm', 'webgpu', 'webml']

2024-01-04

[('mlc-ai/web-stable-diffusion', 0.6759905219078064, 'diffusion', 4), ('microsoft/autogen', 0.661967396736145, 'llm', 1), ('next-gpt/next-gpt', 0.6524577140808105, 'llm', 2), ('nomic-ai/gpt4all', 0.6522467136383057, 'llm', 1), ('hwchase17/langchain', 0.6466255187988281, 'llm', 1), ('young-geng/easylm', 0.6428095102310181, 'llm', 2), ('thudm/chatglm2-6b', 0.6331812143325806, 'llm', 1), ('oobabooga/text-generation-webui', 0.6323723793029785, 'llm', 1), ('bigscience-workshop/petals', 0.6224874258041382, 'data', 1), ('lm-sys/fastchat', 0.6169783473014832, 'llm', 1), ('embedchain/embedchain', 0.6080430746078491, 'llm', 2), ('killianlucas/open-interpreter', 0.6023691892623901, 'llm', 1), ('run-llama/rags', 0.5972565412521362, 'llm', 2), ('fasteval/fasteval', 0.5912193655967712, 'llm', 1), ('nat/openplayground', 0.589094340801239, 'llm', 1), ('intel/intel-extension-for-transformers', 0.5826047658920288, 'perf', 0), ('xtekky/gpt4free', 0.5752508640289307, 'llm', 2), ('openlmlab/moss', 0.5738821029663086, 'llm', 3), ('lianjiatech/belle', 0.5615787506103516, 'llm', 0), ('encode/starlette', 0.5606010556221008, 'web', 0), ('salesforce/xgen', 0.5496227741241455, 'llm', 2), ('guidance-ai/guidance', 0.5491284728050232, 'llm', 2), ('titanml/takeoff', 0.548348069190979, 'llm', 2), ('hannibal046/awesome-llm', 0.5478937029838562, 'study', 1), ('hiyouga/llama-factory', 0.5438234210014343, 'llm', 2), ('hiyouga/llama-efficient-tuning', 0.5438233613967896, 'llm', 2), ('alphasecio/langchain-examples', 0.5424495339393616, 'llm', 1), ('li-plus/chatglm.cpp', 0.542007565498352, 'llm', 0), ('bobazooba/xllm', 0.5402325987815857, 'llm', 3), ('blinkdl/chatrwkv', 0.5393033623695374, 'llm', 2), ('sjtu-ipads/powerinfer', 0.5370975136756897, 'llm', 1), ('dylanhogg/llmgraph', 0.5363897085189819, 'ml', 2), ('shishirpatil/gorilla', 0.533381462097168, 'llm', 2), ('pathwaycom/llm-app', 0.5320335030555725, 'llm', 1), ('deepset-ai/haystack', 0.5301832556724548, 'llm', 2), ('langchain-ai/langgraph', 0.5244644284248352, 'llm', 0), ('paddlepaddle/paddlenlp', 0.5234134197235107, 'llm', 1), ('langchain-ai/chat-langchain', 0.5200137495994568, 'llm', 0), ('pallets/werkzeug', 0.5196402668952942, 'web', 0), ('ctlllll/llm-toolmaker', 0.5185114145278931, 'llm', 1), ('freedomintelligence/llmzoo', 0.517315149307251, 'llm', 1), ('rasahq/rasa', 0.5135403275489807, 'llm', 0), ('aiqc/aiqc', 0.5105668306350708, 'ml-ops', 0), ('lightning-ai/lit-llama', 0.508145809173584, 'llm', 1), ('h2oai/h2o-llmstudio', 0.5051769614219666, 'llm', 2), ('databrickslabs/dolly', 0.5030844807624817, 'llm', 0), ('explosion/spacy-llm', 0.5018036961555481, 'llm', 1), ('mayooear/gpt4-pdf-chatbot-langchain', 0.50135737657547, 'llm', 0), ('deeppavlov/deeppavlov', 0.5006988644599915, 'nlp', 1), ('baichuan-inc/baichuan-13b', 0.5006130933761597, 'llm', 1), ('lucidrains/toolformer-pytorch', 0.5002791881561279, 'llm', 2)]

25

8

null

2.58

75

61

9

0

1

75

174

90

2.3

71

1,712

ml-ops

https://github.com/bentoml/openllm

[]

null

[]

null

bentoml/openllm

OpenLLM

7,553

519

49

Python

https://bentoml.com

Operating LLMs in production

bentoml

2024-01-14

2023-04-19

40

184.863636

https://avatars.githubusercontent.com/u/49176046?v=4

Operating LLMs in production

['ai', 'bentoml', 'falcon', 'fine-tuning', 'llama', 'llama2', 'llm', 'llm-inference', 'llm-ops', 'llm-serving', 'llmops', 'mistral', 'ml', 'mlops', 'model-inference', 'mpt', 'open-source-llm', 'openllm', 'stablelm', 'vicuna']

2024-01-12

[('vllm-project/vllm', 0.7688142657279968, 'llm', 5), ('predibase/lorax', 0.7207032442092896, 'llm', 6), ('eugeneyan/open-llms', 0.7019832134246826, 'study', 1), ('bigscience-workshop/petals', 0.6789776682853699, 'data', 3), ('ray-project/ray-llm', 0.6621026396751404, 'llm', 4), ('h2oai/h2o-llmstudio', 0.6586171388626099, 'llm', 5), ('tigerlab-ai/tiger', 0.6545884013175964, 'llm', 2), ('alpha-vllm/llama2-accessory', 0.6482536792755127, 'llm', 1), ('hiyouga/llama-factory', 0.6292675733566284, 'llm', 4), ('hiyouga/llama-efficient-tuning', 0.6292673945426941, 'llm', 4), ('agenta-ai/agenta', 0.6264759302139282, 'llm', 2), ('microsoft/promptflow', 0.6225191950798035, 'llm', 2), ('ray-project/llm-applications', 0.6087220311164856, 'llm', 2), ('microsoft/torchscale', 0.5949733853340149, 'llm', 0), ('intel/intel-extension-for-transformers', 0.5912082195281982, 'perf', 1), ('jerryjliu/llama_index', 0.5906221866607666, 'llm', 3), ('bobazooba/xllm', 0.5858603119850159, 'llm', 5), ('truera/trulens', 0.5837077498435974, 'llm', 2), ('ludwig-ai/ludwig', 0.5829933881759644, 'ml-ops', 6), ('microsoft/lmops', 0.581097424030304, 'llm', 1), ('confident-ai/deepeval', 0.575341522693634, 'testing', 2), ('tairov/llama2.mojo', 0.5740443468093872, 'llm', 2), ('pathwaycom/llm-app', 0.5679009556770325, 'llm', 2), ('hegelai/prompttools', 0.565089225769043, 'llm', 0), ('microsoft/semantic-kernel', 0.5633988380432129, 'llm', 2), ('titanml/takeoff', 0.5552429556846619, 'llm', 2), ('bentoml/bentoml', 0.5529214143753052, 'ml-ops', 5), ('young-geng/easylm', 0.5489903688430786, 'llm', 1), ('salesforce/xgen', 0.5479778051376343, 'llm', 1), ('microsoft/jarvis', 0.5471473336219788, 'llm', 0), ('openai/evals', 0.5440770387649536, 'llm', 0), ('deepset-ai/haystack', 0.543747067451477, 'llm', 1), ('argilla-io/argilla', 0.5431055426597595, 'nlp', 3), ('nomic-ai/gpt4all', 0.5412029027938843, 'llm', 1), ('run-llama/llama-hub', 0.5397924184799194, 'data', 1), ('lightning-ai/lit-gpt', 0.5373291373252869, 'llm', 1), ('skypilot-org/skypilot', 0.536402702331543, 'llm', 1), ('run-llama/llama-lab', 0.5358179211616516, 'llm', 1), ('iryna-kondr/scikit-llm', 0.5351253151893616, 'llm', 1), ('nebuly-ai/nebullvm', 0.5305408835411072, 'perf', 2), ('citadel-ai/langcheck', 0.5283021926879883, 'llm', 0), ('salesforce/codet5', 0.5279268622398376, 'nlp', 0), ('tloen/alpaca-lora', 0.5242617726325989, 'llm', 1), ('zrrskywalker/llama-adapter', 0.5195848345756531, 'llm', 1), ('microsoft/llama-2-onnx', 0.5186194181442261, 'llm', 1), ('mooler0410/llmspracticalguide', 0.516433596611023, 'study', 0), ('ajndkr/lanarky', 0.5158595442771912, 'llm', 1), ('berriai/litellm', 0.5140005350112915, 'llm', 2), ('polyaxon/polyaxon', 0.5105753540992737, 'ml-ops', 2), ('explosion/spacy-llm', 0.5071743726730347, 'llm', 3), ('shishirpatil/gorilla', 0.5051870942115784, 'llm', 1), ('determined-ai/determined', 0.5048798322677612, 'ml-ops', 1), ('microsoft/llmlingua', 0.5037171244621277, 'llm', 0), ('zilliztech/gptcache', 0.5029482245445251, 'llm', 2)]

23

2

null

26.02

385

341

9

0

105

184

105

384

275

90

0.7

71

1,464

llm

https://github.com/huggingface/text-generation-inference

[]

null

[]

null

huggingface/text-generation-inference

text-generation-inference

6,605

714

88

Python

http://hf.co/docs/text-generation-inference

Large Language Model Text Generation Inference

huggingface

2024-01-14

2022-10-08

68

96.524008

https://avatars.githubusercontent.com/u/25720743?v=4

Large Language Model Text Generation Inference

['bloom', 'deep-learning', 'falcon', 'gpt', 'inference', 'nlp', 'pytorch', 'starcoder', 'transformer']

2024-01-11

[('infinitylogesh/mutate', 0.6840097904205322, 'nlp', 0), ('lianjiatech/belle', 0.6746523380279541, 'llm', 1), ('bytedance/lightseq', 0.672805666923523, 'nlp', 3), ('google-research/electra', 0.648766815662384, 'ml-dl', 2), ('minimaxir/gpt-2-simple', 0.6420865058898926, 'llm', 0), ('minimaxir/textgenrnn', 0.6332951188087463, 'nlp', 1), ('hannibal046/awesome-llm', 0.616241455078125, 'study', 1), ('google/sentencepiece', 0.607265830039978, 'nlp', 0), ('optimalscale/lmflow', 0.6065784692764282, 'llm', 3), ('princeton-nlp/alce', 0.6029461622238159, 'llm', 0), ('squeezeailab/squeezellm', 0.6000766158103943, 'llm', 1), ('sjtu-ipads/powerinfer', 0.5956083536148071, 'llm', 1), ('bigcode-project/starcoder', 0.5950606465339661, 'llm', 0), ('databrickslabs/dolly', 0.5939000248908997, 'llm', 1), ('yueyu1030/attrprompt', 0.5905746221542358, 'llm', 0), ('tatsu-lab/stanford_alpaca', 0.5844063758850098, 'llm', 1), ('sharonzhou/long_stable_diffusion', 0.5840281844139099, 'diffusion', 0), ('bigscience-workshop/megatron-deepspeed', 0.5798518061637878, 'llm', 0), ('microsoft/megatron-deepspeed', 0.5798518061637878, 'llm', 0), ('togethercomputer/redpajama-data', 0.5783564448356628, 'llm', 0), ('deepset-ai/farm', 0.5736597180366516, 'nlp', 3), ('explosion/spacy-llm', 0.5718468427658081, 'llm', 2), ('allenai/allennlp', 0.5714684128761292, 'nlp', 3), ('jonasgeiping/cramming', 0.5711867213249207, 'nlp', 0), ('openlmlab/moss', 0.5647656917572021, 'llm', 1), ('microsoft/autogen', 0.5635223984718323, 'llm', 1), ('minimaxir/aitextgen', 0.563347339630127, 'llm', 0), ('ai21labs/lm-evaluation', 0.5604375004768372, 'llm', 0), ('huggingface/transformers', 0.557208240032196, 'nlp', 4), ('ctlllll/llm-toolmaker', 0.5557337403297424, 'llm', 0), ('salesforce/xgen', 0.5519874691963196, 'llm', 1), ('next-gpt/next-gpt', 0.5511967539787292, 'llm', 0), ('bobazooba/xllm', 0.5498690605163574, 'llm', 3), ('alibaba/easynlp', 0.5467448234558105, 'nlp', 3), ('baichuan-inc/baichuan-13b', 0.546048104763031, 'llm', 0), ('pytorch-labs/gpt-fast', 0.5448298454284668, 'llm', 2), ('facebookresearch/shepherd', 0.5433861017227173, 'llm', 0), ('cg123/mergekit', 0.541591465473175, 'llm', 0), ('llmware-ai/llmware', 0.5404112339019775, 'llm', 2), ('lm-sys/fastchat', 0.538799524307251, 'llm', 0), ('microsoft/lora', 0.5352991223335266, 'llm', 2), ('intellabs/fastrag', 0.5351554155349731, 'nlp', 1), ('bigscience-workshop/biomedical', 0.5347291231155396, 'data', 0), ('norskregnesentral/skweak', 0.5326890349388123, 'nlp', 0), ('paddlepaddle/paddlenlp', 0.531993567943573, 'llm', 1), ('lupantech/chameleon-llm', 0.531190812587738, 'llm', 0), ('maartengr/bertopic', 0.5277509093284607, 'nlp', 1), ('eugeneyan/obsidian-copilot', 0.5260320901870728, 'llm', 0), ('juncongmoo/pyllama', 0.5241082310676575, 'llm', 0), ('lvwerra/trl', 0.523781955242157, 'llm', 0), ('freedomintelligence/llmzoo', 0.523625373840332, 'llm', 0), ('mit-han-lab/streaming-llm', 0.5219200253486633, 'llm', 0), ('vllm-project/vllm', 0.5211599469184875, 'llm', 4), ('muennighoff/sgpt', 0.519349992275238, 'llm', 1), ('reasoning-machines/pal', 0.5183734893798828, 'llm', 0), ('huggingface/text-embeddings-inference', 0.5171723365783691, 'llm', 0), ('nvidia/deeplearningexamples', 0.5152902007102966, 'ml-dl', 3), ('openai/finetune-transformer-lm', 0.5149126648902893, 'llm', 0), ('graykode/nlp-tutorial', 0.5133894681930542, 'study', 3), ('nltk/nltk', 0.5107032060623169, 'nlp', 1), ('srush/minichain', 0.5085004568099976, 'llm', 0), ('microsoft/unilm', 0.5068984627723694, 'nlp', 1), ('eleutherai/the-pile', 0.5064693093299866, 'data', 0), ('thudm/cogvideo', 0.5058658719062805, 'ml', 0), ('facebookresearch/seamless_communication', 0.5040040612220764, 'nlp', 0), ('keras-team/keras-nlp', 0.5031775236129761, 'nlp', 2), ('bigscience-workshop/petals', 0.5030701160430908, 'data', 7), ('extreme-bert/extreme-bert', 0.5023447871208191, 'llm', 4), ('openbmb/toolbench', 0.5014093518257141, 'llm', 0)]

59

4

null

9.02

365

244

15

0

32

26

32

365

867

90

2.4

71

1,848

llm

https://github.com/assafelovic/gpt-researcher

['researcher', 'autonomous-agent']

null

[]

null

assafelovic/gpt-researcher

gpt-researcher

6,496

770

70

Python

https://tavily.com

GPT based autonomous agent that does online comprehensive research on any given topic

assafelovic

2024-01-14

2023-05-12

37

172.897338

null

GPT based autonomous agent that does online comprehensive research on any given topic

[]

['autonomous-agent', 'researcher']

2024-01-07

[('yoheinakajima/babyagi', 0.6752115488052368, 'llm', 0), ('linksoul-ai/autoagents', 0.6728865504264832, 'llm', 0), ('torantulino/auto-gpt', 0.6427838802337646, 'llm', 0), ('geekan/metagpt', 0.6312734484672546, 'llm', 0), ('transformeroptimus/superagi', 0.5870476961135864, 'llm', 0), ('oneil512/insight', 0.5495372414588928, 'ml', 0), ('google-research/google-research', 0.545631468296051, 'ml', 0), ('operand/agency', 0.5227841734886169, 'llm', 1), ('langchain-ai/opengpts', 0.511093020439148, 'llm', 0), ('antonosika/gpt-engineer', 0.5011528730392456, 'llm', 1)]

25

5

null

6.81

121

88

8

0

13

20

13

120

139

90

1.2

71

178

web

https://github.com/psf/requests

[]

null

[]

null

psf/requests

requests

50,848

9,298

1,340

Python

https://requests.readthedocs.io/en/latest/

A simple, yet elegant, HTTP library.

psf

2024-01-14

2011-02-13

676

75.187157

https://avatars.githubusercontent.com/u/50630501?v=4

A simple, yet elegant, HTTP library.

['client', 'cookies', 'forhumans', 'http', 'humans', 'python-requests', 'requests']

2024-01-08

[('requests/toolbelt', 0.7315183281898499, 'util', 2), ('encode/httpx', 0.7030969858169556, 'web', 1), ('encode/uvicorn', 0.6152986884117126, 'web', 1), ('getsentry/responses', 0.6119535565376282, 'testing', 1), ('simple-salesforce/simple-salesforce', 0.5815314650535583, 'data', 0), ('hugapi/hug', 0.5775818228721619, 'util', 1), ('cherrypy/cherrypy', 0.5770725607872009, 'web', 1), ('scrapy/scrapy', 0.5722671151161194, 'data', 0), ('falconry/falcon', 0.5613847970962524, 'web', 1), ('pallets/werkzeug', 0.559667706489563, 'web', 1), ('magicstack/httptools', 0.5530205965042114, 'web', 0), ('googleapis/google-api-python-client', 0.552095353603363, 'util', 0), ('neoteroi/blacksheep', 0.551236629486084, 'web', 1), ('roniemartinez/dude', 0.5494452118873596, 'util', 0), ('dsdanielpark/bard-api', 0.5480201244354248, 'llm', 0), ('pallets/quart', 0.5377407670021057, 'web', 0), ('binux/pyspider', 0.5332942605018616, 'data', 0), ('aio-libs/aiohttp', 0.5318570137023926, 'web', 1), ('jiffyclub/snakeviz', 0.5308777093887329, 'profiling', 0), ('alirezamika/autoscraper', 0.5295840501785278, 'data', 0), ('tedivm/robs_awesome_python_template', 0.5218177437782288, 'template', 0), ('snyk-labs/pysnyk', 0.518162727355957, 'security', 0), ('masoniteframework/masonite', 0.5165953040122986, 'web', 0), ('klen/muffin', 0.5109789967536926, 'web', 0), ('lyz-code/cookiecutter-python-project', 0.5095129013061523, 'template', 0), ('nv7-github/googlesearch', 0.5044116973876953, 'util', 0), ('webpy/webpy', 0.5032954812049866, 'web', 0)]

748

7

null

1.27

148

115

157

0

3

12

3

148

152

90

1

70

261

web

https://github.com/sherlock-project/sherlock

[]

null

[]

null

sherlock-project/sherlock

sherlock

46,128

5,887

1,063

Python

http://sherlock-project.github.io

🔎 Hunt down social media accounts by username across social networks

sherlock-project

2024-01-14

2018-12-24

266

173.320451

https://avatars.githubusercontent.com/u/48293496?v=4

🔎 Hunt down social media accounts by username across social networks

['cli', 'information-gathering', 'linux', 'macos', 'osint', 'reconnaissance', 'redteam', 'sherlock', 'tools', 'windows']

2024-01-10

[('twintproject/twint', 0.5957009196281433, 'data', 1)]

225

4

null

2.71

78

51

62

0

78

62

90

0.8

70

220

util

https://github.com/pyenv/pyenv

['pip', 'venv']

pyenv lets you easily switch between multiple versions of Python.

[]

null

pyenv/pyenv

pyenv

34,980

2,948

386

Roff

null

Simple Python version management

pyenv

2024-01-14

2012-08-31

595

58.733509

https://avatars.githubusercontent.com/u/16530698?v=4

Simple Python version management

['shell']

['pip', 'shell', 'venv']

2023-12-31

[('pypa/pipenv', 0.6903738379478455, 'util', 2), ('pypa/hatch', 0.6283936500549316, 'util', 0), ('pypa/virtualenv', 0.6280038952827454, 'util', 2), ('pypa/pipx', 0.6269603371620178, 'util', 2), ('pomponchik/instld', 0.6027212738990784, 'util', 2), ('thoth-station/micropipenv', 0.5758981704711914, 'util', 1), ('pantsbuild/pex', 0.5503339171409607, 'util', 1), ('pdm-project/pdm', 0.5091418027877808, 'util', 0)]

437

5

null

3.21

86

70

138

0

25

14

25

86

163

90

1.9

70

954

security

https://github.com/certbot/certbot

[]

null

[]

null

certbot/certbot

certbot

30,525

3,449

761

Python

null

Certbot is EFF's tool to obtain certs from Let's Encrypt and (optionally) auto-enable HTTPS on your server. It can also act as a client for any other CA that uses the ACME protocol.

certbot

2024-01-14

2014-11-12

480

63.480392

https://avatars.githubusercontent.com/u/17889013?v=4

Certbot is EFF's tool to obtain certs from Let's Encrypt and (optionally) auto-enable HTTPS on your server. It can also act as a client for any other CA that uses the ACME protocol.

['acme', 'acme-client', 'certbot', 'certificate', 'letsencrypt']

2024-01-06

[]

525

4

null

4.79

137

79

112

0

10

14

10

138

214

90

1.6

70

17

nlp

https://github.com/explosion/spacy

[]

null

[]

null

explosion/spacy

spaCy

27,972

4,354

557

Python

https://spacy.io

💫 Industrial-strength Natural Language Processing (NLP) in Python

explosion

2024-01-14

2014-07-03

499

55.975986

https://avatars.githubusercontent.com/u/20011530?v=4

💫 Industrial-strength Natural Language Processing (NLP) in Python

['ai', 'artificial-intelligence', 'cython', 'data-science', 'deep-learning', 'entity-linking', 'machine-learning', 'named-entity-recognition', 'natural-language-processing', 'neural-network', 'neural-networks', 'nlp', 'nlp-library', 'spacy', 'text-classification', 'tokenization']

2024-01-02

[('sloria/textblob', 0.7043011784553528, 'nlp', 2), ('nltk/nltk', 0.6628869771957397, 'nlp', 3), ('flairnlp/flair', 0.6546562910079956, 'nlp', 4), ('allenai/allennlp', 0.6516764163970947, 'nlp', 4), ('keras-team/keras-nlp', 0.6470063924789429, 'nlp', 4), ('explosion/spacy-models', 0.6409233212471008, 'nlp', 4), ('norskregnesentral/skweak', 0.6230126619338989, 'nlp', 4), ('rasahq/rasa', 0.6100810170173645, 'llm', 4), ('huggingface/transformers', 0.6091046929359436, 'nlp', 5), ('deepset-ai/farm', 0.6052958965301514, 'nlp', 3), ('alibaba/easynlp', 0.6040478348731995, 'nlp', 4), ('pemistahl/lingua-py', 0.5869116187095642, 'nlp', 2), ('paddlepaddle/paddlenlp', 0.5861974954605103, 'llm', 1), ('makcedward/nlpaug', 0.5835755467414856, 'nlp', 6), ('explosion/thinc', 0.5825142860412598, 'ml-dl', 7), ('explosion/spacy-llm', 0.573280930519104, 'llm', 6), ('lexpredict/lexpredict-lexnlp', 0.5584388971328735, 'nlp', 1), ('thilinarajapakse/simpletransformers', 0.5573221445083618, 'nlp', 2), ('llmware-ai/llmware', 0.5547406077384949, 'llm', 3), ('ddbourgin/numpy-ml', 0.5528154373168945, 'ml', 2), ('clips/pattern', 0.5512140989303589, 'nlp', 2), ('nvidia/deeplearningexamples', 0.5494264364242554, 'ml-dl', 2), ('graykode/nlp-tutorial', 0.5477665066719055, 'study', 2), ('dylanhogg/awesome-python', 0.5455989241600037, 'study', 5), ('nvidia/nemo', 0.541452169418335, 'nlp', 3), ('gradio-app/gradio', 0.5368600487709045, 'viz', 3), ('lukaszahradnik/pyneuralogic', 0.5333031415939331, 'math', 2), ('merantix-momentum/squirrel-core', 0.5305957198143005, 'ml', 6), ('franck-dernoncourt/neuroner', 0.527627170085907, 'nlp', 5), ('minimaxir/aitextgen', 0.5253174901008606, 'llm', 0), ('huggingface/datasets', 0.5209731459617615, 'nlp', 4), ('lucidrains/toolformer-pytorch', 0.5190293192863464, 'llm', 2), ('explosion/spacy-stanza', 0.5188982486724854, 'nlp', 5), ('explosion/spacy-transformers', 0.5188299417495728, 'llm', 4), ('tensorly/tensorly', 0.5184281468391418, 'ml-dl', 1), ('jalammar/ecco', 0.5182880163192749, 'ml-interpretability', 2), ('fastai/fastcore', 0.5157615542411804, 'util', 0), ('ibm/transition-amr-parser', 0.5131350159645081, 'nlp', 2), ('databrickslabs/dolly', 0.5090692043304443, 'llm', 0), ('huggingface/neuralcoref', 0.5070719122886658, 'nlp', 4), ('kagisearch/vectordb', 0.506615936756134, 'data', 3), ('deeppavlov/deeppavlov', 0.5052632689476013, 'nlp', 6), ('scikit-learn/scikit-learn', 0.5003823637962341, 'ml', 2), ('quantconnect/lean', 0.5002435445785522, 'finance', 0)]

746

3

null

6.94

97

76

116

0

12

16

12

97

177

90

1.8

70

1,064

diffusion

https://github.com/lllyasviel/controlnet

[]

null

[]

null

lllyasviel/controlnet

ControlNet

26,084

2,427

202

Python

null

Let us control diffusion models!

lllyasviel

2024-01-14

2023-02-01

51

502.997245

null

Let us control diffusion models!

[]

2023-09-09

[('bentoml/onediffusion', 0.6226494908332825, 'diffusion', 0), ('openai/improved-diffusion', 0.5762985944747925, 'diffusion', 0), ('divamgupta/stable-diffusion-tensorflow', 0.5530334115028381, 'diffusion', 0), ('carson-katri/dream-textures', 0.5427067279815674, 'diffusion', 0)]

6

5

null

3.52

110

20

12

4

0

109

175

90

1.6

70

1,102

llm

https://github.com/tloen/alpaca-lora

['llama', 'language-model']

null

[]

null

tloen/alpaca-lora

alpaca-lora

17,713

2,161

156

Jupyter Notebook

null

Instruct-tune LLaMA on consumer hardware

tloen

2024-01-14

2023-03-13

46

383.873065

null

Instruct-tune LLaMA on consumer hardware

[]

['language-model', 'llama']

2023-04-18

[('zrrskywalker/llama-adapter', 0.7604994773864746, 'llm', 2), ('microsoft/llama-2-onnx', 0.7532107830047607, 'llm', 2), ('facebookresearch/llama-recipes', 0.6903901100158691, 'llm', 2), ('jzhang38/tinyllama', 0.6666224598884583, 'llm', 2), ('mshumer/gpt-llm-trainer', 0.663759171962738, 'llm', 0), ('run-llama/llama-lab', 0.6453814506530762, 'llm', 2), ('lightning-ai/lit-llama', 0.6250495314598083, 'llm', 2), ('facebookresearch/llama', 0.6226324439048767, 'llm', 2), ('ggerganov/llama.cpp', 0.6068325042724609, 'llm', 2), ('karpathy/llama2.c', 0.5766897201538086, 'llm', 2), ('abetlen/llama-cpp-python', 0.572754442691803, 'llm', 2), ('facebookresearch/codellama', 0.5405111908912659, 'llm', 2), ('run-llama/llama-hub', 0.5322900414466858, 'data', 0), ('hiyouga/llama-efficient-tuning', 0.5321193337440491, 'llm', 2), ('hiyouga/llama-factory', 0.5321192145347595, 'llm', 2), ('jerryjliu/llama_index', 0.5254223942756653, 'llm', 2), ('bentoml/openllm', 0.5242617726325989, 'ml-ops', 1), ('instruction-tuning-with-gpt-4/gpt-4-llm', 0.5178021788597107, 'llm', 1), ('ray-project/llm-applications', 0.5138564109802246, 'llm', 0), ('predibase/lorax', 0.507797122001648, 'llm', 1), ('intel/intel-extension-for-transformers', 0.5027761459350586, 'perf', 0), ('tairov/llama2.mojo', 0.5015569925308228, 'llm', 1)]

41

9

null

2.85

57

12

10

9

0

57

76

90

1.3

70

120

ml-ops

https://github.com/mlflow/mlflow

[]

null

[]

null

mlflow/mlflow

mlflow

16,234

3,772

292

Python

https://mlflow.org

Open source platform for the machine learning lifecycle

mlflow

2024-01-13

2018-06-05

295

55.030508

https://avatars.githubusercontent.com/u/39938107?v=4

Open source platform for the machine learning lifecycle

['ai', 'apache-spark', 'machine-learning', 'ml', 'mlflow', 'model-management']

2024-01-12

[('tensorflow/tensorflow', 0.7961823344230652, 'ml-dl', 2), ('polyaxon/polyaxon', 0.7237421870231628, 'ml-ops', 2), ('microsoft/nni', 0.6970524191856384, 'ml', 1), ('determined-ai/determined', 0.6798075437545776, 'ml-ops', 1), ('onnx/onnx', 0.6629000902175903, 'ml', 2), ('huggingface/datasets', 0.6532941460609436, 'nlp', 1), ('googlecloudplatform/vertex-ai-samples', 0.6433287262916565, 'ml', 2), ('netflix/metaflow', 0.6375054717063904, 'ml-ops', 4), ('bentoml/bentoml', 0.6369062662124634, 'ml-ops', 3), ('merantix-momentum/squirrel-core', 0.63669753074646, 'ml', 3), ('feast-dev/feast', 0.6303765773773193, 'ml-ops', 2), ('doccano/doccano', 0.6210007667541504, 'nlp', 1), ('aws/sagemaker-python-sdk', 0.6176590919494629, 'ml', 1), ('activeloopai/deeplake', 0.6163042187690735, 'ml-ops', 3), ('horovod/horovod', 0.612357497215271, 'ml-ops', 1), ('polyaxon/datatile', 0.6103001236915588, 'pandas', 0), ('firmai/industry-machine-learning', 0.6037585735321045, 'study', 1), ('csinva/imodels', 0.5987911224365234, 'ml', 3), ('kubeflow/pipelines', 0.5984587669372559, 'ml-ops', 1), ('unity-technologies/ml-agents', 0.5918627381324768, 'ml-rl', 1), ('adap/flower', 0.5906698107719421, 'ml-ops', 2), ('google/mediapipe', 0.5900856852531433, 'ml', 1), ('google-research/language', 0.5879070162773132, 'nlp', 1), ('rasahq/rasa', 0.5874723792076111, 'llm', 1), ('hpcaitech/colossalai', 0.5852144360542297, 'llm', 1), ('aimhubio/aim', 0.5842969417572021, 'ml-ops', 4), ('nevronai/metisfl', 0.5837588310241699, 'ml', 1), ('microsoft/onnxruntime', 0.5830215811729431, 'ml', 1), ('nccr-itmo/fedot', 0.5817329287528992, 'ml-ops', 1), ('ml-tooling/opyrator', 0.58051598072052, 'viz', 1), ('patchy631/machine-learning', 0.5804417729377747, 'ml', 0), ('whylabs/whylogs', 0.5756088495254517, 'util', 1), ('mlc-ai/mlc-llm', 0.5713922381401062, 'llm', 0), ('gradio-app/gradio', 0.569076657295227, 'viz', 1), ('pycaret/pycaret', 0.5679655075073242, 'ml', 2), ('alirezadir/machine-learning-interview-enlightener', 0.5668816566467285, 'study', 2), ('explosion/thinc', 0.5667772889137268, 'ml-dl', 2), ('wandb/client', 0.5661569833755493, 'ml', 1), ('tensorflow/data-validation', 0.56364506483078, 'ml-ops', 0), ('aiqc/aiqc', 0.5631386637687683, 'ml-ops', 0), ('tensorflow/tensor2tensor', 0.5625280737876892, 'ml', 1), ('rasbt/machine-learning-book', 0.5623690485954285, 'study', 1), ('mosaicml/composer', 0.5622864365577698, 'ml-dl', 1), ('ray-project/ray', 0.5602455139160156, 'ml-ops', 1), ('uber/petastorm', 0.559465765953064, 'data', 1), ('xplainable/xplainable', 0.55943363904953, 'ml-interpretability', 1), ('featurelabs/featuretools', 0.5563209652900696, 'ml', 1), ('koaning/human-learn', 0.5503108501434326, 'data', 1), ('tigerlab-ai/tiger', 0.5502049922943115, 'llm', 0), ('selfexplainml/piml-toolbox', 0.5481675863265991, 'ml-interpretability', 0), ('ludwig-ai/ludwig', 0.5469896793365479, 'ml-ops', 2), ('titanml/takeoff', 0.5464853048324585, 'llm', 0), ('kubeflow/fairing', 0.545492947101593, 'ml-ops', 0), ('argilla-io/argilla', 0.5428063869476318, 'nlp', 2), ('huggingface/transformers', 0.5401144027709961, 'nlp', 1), ('deepchecks/deepchecks', 0.5400528907775879, 'data', 2), ('transformeroptimus/superagi', 0.5397615432739258, 'llm', 1), ('keras-team/keras', 0.5389267802238464, 'ml-dl', 1), ('online-ml/river', 0.5388703346252441, 'ml', 1), ('ddbourgin/numpy-ml', 0.5377799868583679, 'ml', 1), ('automl/auto-sklearn', 0.5365729928016663, 'ml', 0), ('unionai-oss/unionml', 0.5361176133155823, 'ml-ops', 1), ('uber/fiber', 0.5344669818878174, 'data', 1), ('keras-team/autokeras', 0.5325337052345276, 'ml-dl', 1), ('mage-ai/mage-ai', 0.5320558547973633, 'ml-ops', 1), ('microsoft/lmops', 0.5320460200309753, 'llm', 0), ('dmlc/xgboost', 0.5318878889083862, 'ml', 1), ('google-research/google-research', 0.5312324166297913, 'ml', 2), ('apple/coremltools', 0.5302109122276306, 'ml', 1), ('kubeflow-kale/kale', 0.5298233032226562, 'ml-ops', 1), ('microsoft/deepspeed', 0.5296139717102051, 'ml-dl', 1), ('alpa-projects/alpa', 0.52925705909729, 'ml-dl', 1), ('salesforce/logai', 0.5248235464096069, 'util', 2), ('mindsdb/mindsdb', 0.5246097445487976, 'data', 3), ('zenml-io/zenml', 0.5241439938545227, 'ml-ops', 3), ('superduperdb/superduperdb', 0.522727370262146, 'data', 2), ('huggingface/evaluate', 0.5217682123184204, 'ml', 1), ('pytorchlightning/pytorch-lightning', 0.5213505029678345, 'ml-dl', 2), ('nvidia/deeplearningexamples', 0.5205937027931213, 'ml-dl', 0), ('nebuly-ai/nebullvm', 0.5198503136634827, 'perf', 1), ('fmind/mlops-python-package', 0.5197017788887024, 'template', 2), ('ml-for-high-risk-apps-book/machine-learning-for-high-risk-applications-book', 0.5185167193412781, 'study', 1), ('eventual-inc/daft', 0.5185021162033081, 'pandas', 1), ('sktime/sktime', 0.5184756517410278, 'time-series', 1), ('microsoft/jarvis', 0.517335832118988, 'llm', 0), ('jina-ai/jina', 0.5164972543716431, 'ml', 1), ('districtdatalabs/yellowbrick', 0.5155874490737915, 'ml', 1), ('lutzroeder/netron', 0.5155205726623535, 'ml', 3), ('skypilot-org/skypilot', 0.514528214931488, 'llm', 1), ('dagworks-inc/hamilton', 0.5135458111763, 'ml-ops', 1), ('pathwaycom/pathway', 0.5128524899482727, 'data', 0), ('lucidrains/toolformer-pytorch', 0.5123224258422852, 'llm', 0), ('oegedijk/explainerdashboard', 0.5103710889816284, 'ml-interpretability', 0), ('tensorflow/lucid', 0.5101231336593628, 'ml-interpretability', 1), ('avaiga/taipy', 0.5100282430648804, 'data', 0), ('qdrant/qdrant', 0.5098550915718079, 'data', 1), ('prefecthq/marvin', 0.5080140233039856, 'nlp', 1), ('pytorch/rl', 0.5072483420372009, 'ml-rl', 2), ('dylanhogg/awesome-python', 0.5060958862304688, 'study', 1), ('giskard-ai/giskard', 0.5059633851051331, 'data', 1), ('deepmind/dm-haiku', 0.50584477186203, 'ml-dl', 1), ('tensorlayer/tensorlayer', 0.5055288672447205, 'ml-rl', 0), ('google/dopamine', 0.5052387118339539, 'ml-rl', 2), ('deci-ai/super-gradients', 0.505067765712738, 'ml-dl', 0), ('paddlepaddle/paddle', 0.5048314332962036, 'ml-dl', 1), ('cheshire-cat-ai/core', 0.5041938424110413, 'llm', 1), ('cleanlab/cleanlab', 0.5033455491065979, 'ml', 0), ('pan-ml/panml', 0.5007346868515015, 'llm', 1), ('iterative/dvc', 0.5006384253501892, 'ml-ops', 2), ('scikit-learn/scikit-learn', 0.5004898905754089, 'ml', 1), ('hegelai/prompttools', 0.5002617239952087, 'llm', 1)]

686

1

null

29.87

1,026

806

68

0

18

23

18

1,026

2,019

90

2

70

1,269

data

https://github.com/qdrant/qdrant

['vector-search']

null

[]

null

qdrant/qdrant

qdrant

15,465

909

107

Rust

https://qdrant.tech

Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

qdrant

2024-01-14

2020-05-30

191

80.787313

https://avatars.githubusercontent.com/u/73504361?v=4

Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

['approximate-nearest-neighbor-search', 'embeddings-similarity', 'hnsw', 'image-search', 'knn-algorithm', 'machine-learning', 'matching', 'mlops', 'nearest-neighbor-search', 'neural-network', 'neural-search', 'recommender-system', 'search', 'search-engine', 'search-engines', 'similarity-search', 'vector-database', 'vector-search', 'vector-search-engine']

2023-12-19

[('marqo-ai/marqo', 0.7367421984672546, 'ml', 4), ('activeloopai/deeplake', 0.6835601329803467, 'ml-ops', 4), ('lancedb/lancedb', 0.6593559384346008, 'data', 7), ('jina-ai/vectordb', 0.5856242775917053, 'data', 3), ('qdrant/vector-db-benchmark', 0.582831621170044, 'perf', 3), ('googlecloudplatform/vertex-ai-samples', 0.5779662132263184, 'ml', 1), ('milvus-io/bootcamp', 0.5713267922401428, 'data', 2), ('qdrant/qdrant-haystack', 0.5697789788246155, 'data', 0), ('neuml/txtai', 0.5641199350357056, 'nlp', 7), ('mindsdb/mindsdb', 0.5584307312965393, 'data', 1), ('superduperdb/superduperdb', 0.5490362644195557, 'data', 2), ('hpcaitech/colossalai', 0.547572910785675, 'llm', 0), ('jina-ai/jina', 0.546108603477478, 'ml', 3), ('qdrant/quaterion', 0.5457815527915955, 'ml', 3), ('chroma-core/chroma', 0.5403642058372498, 'data', 0), ('docarray/docarray', 0.5395107865333557, 'data', 3), ('criteo/autofaiss', 0.5368368625640869, 'ml', 1), ('cheshire-cat-ai/core', 0.5352751016616821, 'llm', 1), ('bentoml/bentoml', 0.5326546430587769, 'ml-ops', 2), ('microsoft/nni', 0.526932418346405, 'ml', 3), ('tensorflow/similarity', 0.522907555103302, 'ml-dl', 3), ('tensorflow/tensorflow', 0.5152298808097839, 'ml-dl', 2), ('feast-dev/feast', 0.5136101245880127, 'ml-ops', 2), ('alirezadir/machine-learning-interview-enlightener', 0.5117506384849548, 'study', 1), ('mlflow/mlflow', 0.5098550915718079, 'ml-ops', 1), ('ray-project/ray', 0.5096204280853271, 'ml-ops', 1), ('qdrant/qdrant-client', 0.5091877579689026, 'util', 3)]

78

4

null

20.4

682

550

44

1

24

17

24

682

880

90

1.3

70

121

ml-ops

https://github.com/prefecthq/prefect

[]

null

[]

null

prefecthq/prefect

prefect

13,774

1,409

159

Python

https://prefect.io

Prefect is a workflow orchestration tool empowering developers to build, observe, and react to data pipelines

prefecthq

2024-01-13

2018-06-29

291

47.240568

https://avatars.githubusercontent.com/u/39270919?v=4

Prefect is a workflow orchestration tool empowering developers to build, observe, and react to data pipelines

['automation', 'data', 'data-engineering', 'data-ops', 'data-science', 'infrastructure', 'ml-ops', 'observability', 'orchestration', 'pipeline', 'prefect', 'workflow', 'workflow-engine']

2024-01-13

[('prefecthq/server', 0.7347409129142761, 'util', 5), ('kestra-io/kestra', 0.6422749757766724, 'ml-ops', 6), ('flyteorg/flyte', 0.6408464312553406, 'ml-ops', 3), ('dagster-io/dagster', 0.5984505414962769, 'ml-ops', 4), ('prefecthq/prefect-dbt', 0.5904790759086609, 'ml-ops', 1), ('mage-ai/mage-ai', 0.5904417037963867, 'ml-ops', 5), ('getindata/kedro-kubeflow', 0.5550775527954102, 'ml-ops', 0), ('apache/airflow', 0.5517212748527527, 'ml-ops', 6), ('astronomer/astro-sdk', 0.5360534191131592, 'ml-ops', 1), ('allegroai/clearml', 0.5174835324287415, 'ml-ops', 0), ('spotify/luigi', 0.5162726640701294, 'ml-ops', 0), ('ploomber/ploomber', 0.5095990896224976, 'ml-ops', 3), ('orchest/orchest', 0.5009967684745789, 'ml-ops', 1)]

218

3

null

45.83

810

636

67

0

67

43

67

809

1,285

90

1.6

70

1,896

nlp

https://github.com/myshell-ai/openvoice

[]

null

[]

null

myshell-ai/openvoice

OpenVoice

12,210

983

111

Python

https://research.myshell.ai/open-voice

Instant voice cloning by MyShell.

myshell-ai

2024-01-14

2023-11-29

8

1,378.548387

https://avatars.githubusercontent.com/u/127754094?v=4

Instant voice cloning by MyShell.

['text-to-speech', 'tts', 'voice-clone', 'zero-shot-tts']

2024-01-09

[('plachtaa/vall-e-x', 0.6065437197685242, 'llm', 3), ('neonbjb/tortoise-tts', 0.57065349817276, 'ml', 1), ('vaibhavs10/insanely-fast-whisper', 0.5049346089363098, 'llm', 1)]

8

4

null

1.25

103

45

2

0

103

244

90

2.4

70

532

profiling

https://github.com/bloomberg/memray

[]

null

[]

1

null

bloomberg/memray

memray

11,750

383

58

Python

https://bloomberg.github.io/memray/

Memray is a memory profiler for Python

bloomberg

2024-01-14

2022-04-08

94

124.244713

https://avatars.githubusercontent.com/u/1416818?v=4

Memray is a memory profiler for Python

['memory', 'memory-leak', 'memory-leak-detection', 'memory-profiler', 'profiler']

2024-01-12

[('pythonspeed/filprofiler', 0.7156088352203369, 'profiling', 4), ('pympler/pympler', 0.5725077390670776, 'perf', 0), ('pythonprofilers/memory_profiler', 0.5463239550590515, 'profiling', 0)]

42

5

null

4.33

45

38

22

0

8

11

8

45

94

90

2.1

70

1,802

ml

https://github.com/microsoft/onnxruntime

[]

null

[]

null

microsoft/onnxruntime

onnxruntime

11,513

2,468

229

C++

https://onnxruntime.ai

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

microsoft

2024-01-14

2018-11-10

272

42.260619

https://avatars.githubusercontent.com/u/6154722?v=4

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

['ai-framework', 'deep-learning', 'hardware-acceleration', 'machine-learning', 'neural-networks', 'onnx', 'pytorch', 'scikit-learn', 'tensorflow']

2024-01-14

[('onnx/onnx', 0.727009654045105, 'ml', 6), ('tensorflow/tensorflow', 0.681681215763092, 'ml-dl', 3), ('tlkh/tf-metal-experiments', 0.6584108471870422, 'perf', 2), ('horovod/horovod', 0.6534867882728577, 'ml-ops', 4), ('determined-ai/determined', 0.643320620059967, 'ml-ops', 4), ('alpa-projects/alpa', 0.6340340971946716, 'ml-dl', 2), ('intel/intel-extension-for-pytorch', 0.6330754160881042, 'perf', 3), ('huggingface/datasets', 0.6271397471427917, 'nlp', 4), ('keras-team/keras', 0.6258196234703064, 'ml-dl', 5), ('neuralmagic/deepsparse', 0.6196989417076111, 'nlp', 1), ('pytorch/glow', 0.6179055571556091, 'ml', 0), ('pytorchlightning/pytorch-lightning', 0.5993390083312988, 'ml-dl', 3), ('explosion/thinc', 0.5988422632217407, 'ml-dl', 4), ('polyaxon/polyaxon', 0.5915482044219971, 'ml-ops', 4), ('tensorlayer/tensorlayer', 0.5911857485771179, 'ml-rl', 2), ('aiqc/aiqc', 0.5876568555831909, 'ml-ops', 0), ('nyandwi/modernconvnets', 0.5876009464263916, 'ml-dl', 2), ('google/tf-quant-finance', 0.5870956182479858, 'finance', 1), ('huggingface/transformers', 0.5852525234222412, 'nlp', 4), ('ray-project/ray', 0.5840818285942078, 'ml-ops', 4), ('mlflow/mlflow', 0.5830215811729431, 'ml-ops', 1), ('megvii-basedetection/yolox', 0.5817757844924927, 'ml', 3), ('nvidia/deeplearningexamples', 0.5810919404029846, 'ml-dl', 3), ('google/mediapipe', 0.5802665948867798, 'ml', 2), ('bentoml/bentoml', 0.5801241993904114, 'ml-ops', 2), ('intel/scikit-learn-intelex', 0.5744372010231018, 'perf', 2), ('jina-ai/jina', 0.57099848985672, 'ml', 2), ('aimhubio/aim', 0.5700400471687317, 'ml-ops', 3), ('skorch-dev/skorch', 0.5680661797523499, 'ml-dl', 3), ('pytorch/ignite', 0.5676509141921997, 'ml-dl', 3), ('apache/incubator-mxnet', 0.5671101212501526, 'ml-dl', 0), ('lutzroeder/netron', 0.5668833255767822, 'ml', 5), ('mosaicml/composer', 0.5664753317832947, 'ml-dl', 4), ('tensorflow/tensor2tensor', 0.564765214920044, 'ml', 2), ('microsoft/deepspeed', 0.5646995902061462, 'ml-dl', 3), ('google/trax', 0.5622458457946777, 'ml-dl', 2), ('bigscience-workshop/petals', 0.5610960721969604, 'data', 4), ('rasbt/machine-learning-book', 0.5571870803833008, 'study', 5), ('keras-rl/keras-rl', 0.5557011961936951, 'ml-rl', 3), ('ludwig-ai/ludwig', 0.5548502802848816, 'ml-ops', 3), ('tensorflow/addons', 0.5536020994186401, 'ml', 3), ('iryna-kondr/scikit-llm', 0.5525389313697815, 'llm', 3), ('unity-technologies/ml-agents', 0.5510517358779907, 'ml-rl', 3), ('ashleve/lightning-hydra-template', 0.5507823824882507, 'util', 2), ('ddbourgin/numpy-ml', 0.5489387512207031, 'ml', 2), ('googlecloudplatform/vertex-ai-samples', 0.5478015542030334, 'ml', 0), ('pytorch/pytorch', 0.5476374626159668, 'ml-dl', 2), ('hpcaitech/colossalai', 0.5474748015403748, 'llm', 1), ('fepegar/torchio', 0.5472385883331299, 'ml-dl', 3), ('adap/flower', 0.5461448431015015, 'ml-ops', 5), ('mrdbourke/m1-machine-learning-test', 0.5451663136482239, 'ml', 2), ('karpathy/micrograd', 0.5451004505157471, 'study', 0), ('merantix-momentum/squirrel-core', 0.5414808392524719, 'ml', 4), ('d2l-ai/d2l-en', 0.5409604907035828, 'study', 4), ('microsoft/nni', 0.5409425497055054, 'ml', 4), ('huggingface/optimum', 0.5409281849861145, 'ml', 2), ('deepmind/dm-haiku', 0.540787935256958, 'ml-dl', 3), ('mlc-ai/mlc-llm', 0.5396208763122559, 'llm', 0), ('activeloopai/deeplake', 0.5389828681945801, 'ml-ops', 4), ('project-monai/monai', 0.5315036773681641, 'ml', 2), ('opentensor/bittensor', 0.5280240774154663, 'ml', 4), ('koaning/human-learn', 0.5241006016731262, 'data', 2), ('rwightman/pytorch-image-models', 0.522943913936615, 'ml-dl', 1), ('lucidrains/imagen-pytorch', 0.519209623336792, 'ml-dl', 1), ('salesforce/warp-drive', 0.5185619592666626, 'ml-rl', 2), ('deci-ai/super-gradients', 0.5170263051986694, 'ml-dl', 2), ('roboflow/supervision', 0.5162255167961121, 'ml', 4), ('deepfakes/faceswap', 0.5149832963943481, 'ml-dl', 3), ('deepmind/dm_control', 0.5139978528022766, 'ml-rl', 3), ('aws/sagemaker-python-sdk', 0.513953447341919, 'ml', 3), ('xl0/lovely-tensors', 0.5118368864059448, 'ml-dl', 2), ('arogozhnikov/einops', 0.5109891295433044, 'ml-dl', 3), ('paddlepaddle/paddle', 0.5105121731758118, 'ml-dl', 2), ('cheshire-cat-ai/core', 0.5098522901535034, 'llm', 0), ('titanml/takeoff', 0.5081208348274231, 'llm', 0), ('keras-team/autokeras', 0.507604718208313, 'ml-dl', 3), ('alirezadir/machine-learning-interview-enlightener', 0.5041807293891907, 'study', 2), ('microsoft/jarvis', 0.5037975907325745, 'llm', 2), ('denys88/rl_games', 0.5028592348098755, 'ml-rl', 2), ('huggingface/huggingface_hub', 0.5021616816520691, 'ml', 3), ('neuralmagic/sparseml', 0.5017151236534119, 'ml-dl', 3)]

579

1

null

53.08

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pandas

https://github.com/kanaries/pygwalker

[]

null

[]

1

null

kanaries/pygwalker

pygwalker

8,574

403

52

Python

https://kanaries.net/home/pygwalker

PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis

kanaries

2024-01-14

2023-02-16

49

172.465517

https://avatars.githubusercontent.com/u/57262471?v=4

PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis

['data-analysis', 'data-exploration', 'dataframe', 'matplotlib', 'pandas', 'plotly', 'tableau', 'tableau-alternative', 'visualization']

2024-01-11

[('lux-org/lux', 0.7356677055358887, 'viz', 2), ('man-group/dtale', 0.7181293368339539, 'viz', 3), ('holoviz/panel', 0.6920881271362305, 'viz', 2), ('adamerose/pandasgui', 0.6812300682067871, 'pandas', 2), ('mwaskom/seaborn', 0.6736312508583069, 'viz', 2), ('plotly/plotly.py', 0.6529722809791565, 'viz', 2), ('bokeh/bokeh', 0.6463139653205872, 'viz', 1), ('tkrabel/bamboolib', 0.6401150822639465, 'pandas', 1), ('holoviz/holoviz', 0.6368023753166199, 'viz', 0), ('cuemacro/chartpy', 0.6271337270736694, 'viz', 2), ('holoviz/hvplot', 0.6253153085708618, 'pandas', 0), ('residentmario/geoplot', 0.6120375394821167, 'gis', 1), ('vizzuhq/ipyvizzu', 0.5989693403244019, 'jupyter', 0), ('altair-viz/altair', 0.5906645655632019, 'viz', 1), ('matplotlib/matplotlib', 0.5794761776924133, 'viz', 1), ('plotly/dash', 0.5757370591163635, 'viz', 1), ('federicoceratto/dashing', 0.569820761680603, 'term', 0), ('pyqtgraph/pyqtgraph', 0.5670520663261414, 'viz', 1), ('pandas-dev/pandas', 0.5644711256027222, 'pandas', 3), ('wesm/pydata-book', 0.5609186887741089, 'study', 0), ('jakevdp/pythondatasciencehandbook', 0.5599751472473145, 'study', 2), ('enthought/mayavi', 0.5563317537307739, 'viz', 1), ('holoviz/geoviews', 0.5505314469337463, 'gis', 0), ('scitools/iris', 0.5480643510818481, 'gis', 1), ('contextlab/hypertools', 0.5455514192581177, 'ml', 1), ('graphistry/pygraphistry', 0.5422446727752686, 'data', 2), ('quantopian/qgrid', 0.5393330454826355, 'jupyter', 0), ('datapane/datapane', 0.5378132462501526, 'viz', 0), ('opengeos/leafmap', 0.5377007722854614, 'gis', 1), ('maartenbreddels/ipyvolume', 0.5359721779823303, 'jupyter', 0), ('giswqs/geemap', 0.5327471494674683, 'gis', 0), ('alexmojaki/heartrate', 0.5303294658660889, 'debug', 1), ('rapidsai/cudf', 0.5281388759613037, 'pandas', 3), ('twopirllc/pandas-ta', 0.5264495611190796, 'finance', 2), ('vaexio/vaex', 0.5217480063438416, 'perf', 2), ('scitools/cartopy', 0.5204256772994995, 'gis', 1), ('matplotlib/mplfinance', 0.517193078994751, 'finance', 1), ('has2k1/plotnine', 0.5138752460479736, 'viz', 1), ('pyglet/pyglet', 0.5040571689605713, 'gamedev', 0), ('geopandas/geopandas', 0.5026245713233948, 'gis', 1), ('albahnsen/pycircular', 0.5010564923286438, 'math', 0)]

13

5

null

7.79

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131

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90

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llm

https://github.com/facebookresearch/llama-recipes

['llama', 'language-model']

null

[]

null

facebookresearch/llama-recipes

llama-recipes

6,547

906

55

Jupyter Notebook

null

Examples and recipes for Llama 2 model

facebookresearch

2024-01-14

2023-07-17

28

232.634518

https://avatars.githubusercontent.com/u/16943930?v=4

Examples and recipes for Llama 2 model

[]

['language-model', 'llama']

2024-01-12

[('microsoft/llama-2-onnx', 0.820441722869873, 'llm', 2), ('facebookresearch/llama', 0.7843647003173828, 'llm', 2), ('karpathy/llama2.c', 0.7288556098937988, 'llm', 2), ('run-llama/llama-lab', 0.7252361178398132, 'llm', 2), ('tloen/alpaca-lora', 0.6903901100158691, 'llm', 2), ('jzhang38/tinyllama', 0.6900231242179871, 'llm', 2), ('mshumer/gpt-llm-trainer', 0.6829999685287476, 'llm', 0), ('abetlen/llama-cpp-python', 0.6769752502441406, 'llm', 2), ('facebookresearch/codellama', 0.6740383505821228, 'llm', 2), ('ggerganov/llama.cpp', 0.6467329263687134, 'llm', 2), ('zrrskywalker/llama-adapter', 0.6457222700119019, 'llm', 2), ('tairov/llama2.mojo', 0.6153814792633057, 'llm', 1), ('lightning-ai/lit-llama', 0.5484828352928162, 'llm', 2), ('young-geng/easylm', 0.5477281212806702, 'llm', 2), ('cg123/mergekit', 0.5452256202697754, 'llm', 1), ('oobabooga/text-generation-webui', 0.5421599745750427, 'llm', 1), ('openlm-research/open_llama', 0.536719799041748, 'llm', 2), ('hiyouga/llama-efficient-tuning', 0.5004853010177612, 'llm', 2), ('hiyouga/llama-factory', 0.5004853010177612, 'llm', 2)]

46

4

null

8.65

139

73

6

0

139

189

90

1.4

70

587

util

https://github.com/mingrammer/diagrams

[]

null

[]

null

mingrammer/diagrams

diagrams

32,318

2,122

377

Python

https://diagrams.mingrammer.com

:art: Diagram as Code for prototyping cloud system architectures

mingrammer

2024-01-14

2020-02-02

208

155.161866

null

:art: Diagram as Code for prototyping cloud system architectures

['architecture', 'diagram', 'diagram-as-code', 'graphviz']

2024-01-05

[('zenml-io/mlstacks', 0.5006417036056519, 'ml-ops', 0)]

137

7

null

0.42

56

28

48

0

1

10

1

56

46

90

0.8

69

1,201

ml

https://github.com/suno-ai/bark

['multilingual', 'audio']

null

[]

null

suno-ai/bark

bark

29,862

3,523

289

Jupyter Notebook

null

🔊 Text-Prompted Generative Audio Model

suno-ai

2024-01-14

2023-04-07

42

701.456376

https://avatars.githubusercontent.com/u/99442120?v=4

🔊 Text-Prompted Generative Audio Model

[]

['audio', 'multilingual']

2023-09-28

[('pollinations/dance-diffusion', 0.6367303729057312, 'diffusion', 1), ('facebookresearch/seamless_communication', 0.553849995136261, 'nlp', 0), ('thudm/chatglm-6b', 0.552562415599823, 'llm', 0), ('openai/finetune-transformer-lm', 0.5396863222122192, 'llm', 0), ('hazyresearch/ama_prompting', 0.5254032015800476, 'llm', 0), ('gunthercox/chatterbot-corpus', 0.5169947743415833, 'nlp', 0), ('keirp/automatic_prompt_engineer', 0.5167652368545532, 'llm', 0)]

17

5

null

1.42

67

14

9

4

0

67

91

90

1.4

69

672

ml-dl

https://github.com/facebookresearch/detectron2

[]

null

[]

null

facebookresearch/detectron2

detectron2

27,792

7,230

380

Python

https://detectron2.readthedocs.io/en/latest/

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

facebookresearch

2024-01-14

2019-09-05

229

120.985075

https://avatars.githubusercontent.com/u/16943930?v=4

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

[]

2024-01-09

[('open-mmlab/mmdetection', 0.5715402960777283, 'ml', 0), ('roboflow/supervision', 0.5367303490638733, 'ml', 0), ('deci-ai/super-gradients', 0.5197049379348755, 'ml-dl', 0), ('nvlabs/gcvit', 0.504278838634491, 'diffusion', 0)]

263

3

null

1.44

134

65

53

0

3

133

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90

1.2

69

348

ml

https://github.com/jina-ai/jina

[]

null

[]

null

jina-ai/jina

jina

19,552

2,201

205

Python

https://docs.jina.ai

☁️ Build multimodal AI applications with cloud-native stack

jina-ai

2024-01-14

2020-02-13

206

94.584658

https://avatars.githubusercontent.com/u/60539444?v=4

☁️ Build multimodal AI applications with cloud-native stack

['cloud-native', 'cncf', 'deep-learning', 'docker', 'fastapi', 'framework', 'generative-ai', 'grpc', 'jaeger', 'kubernetes', 'llmops', 'machine-learning', 'microservice', 'mlops', 'multimodal', 'neural-search', 'opentelemetry', 'orchestration', 'pipeline', 'prometheus']

2024-01-10

[('bentoml/bentoml', 0.692993700504303, 'ml-ops', 6), ('cheshire-cat-ai/core', 0.6241676807403564, 'llm', 1), ('googlecloudplatform/vertex-ai-samples', 0.6033614873886108, 'ml', 1), ('skypilot-org/skypilot', 0.5877841711044312, 'llm', 2), ('mlc-ai/mlc-llm', 0.581267774105072, 'llm', 0), ('microsoft/onnxruntime', 0.57099848985672, 'ml', 2), ('pathwaycom/llm-app', 0.567528486251831, 'llm', 2), ('hpcaitech/colossalai', 0.5669887065887451, 'llm', 1), ('netflix/metaflow', 0.5668376088142395, 'ml-ops', 3), ('lithops-cloud/lithops', 0.5622606873512268, 'ml-ops', 1), ('prefecthq/marvin', 0.5576962828636169, 'nlp', 0), ('polyaxon/polyaxon', 0.5560136437416077, 'ml-ops', 4), ('orchest/orchest', 0.5534289479255676, 'ml-ops', 3), ('uber/fiber', 0.5508025884628296, 'data', 1), ('horovod/horovod', 0.5503325462341309, 'ml-ops', 2), ('ray-project/ray', 0.5483666062355042, 'ml-ops', 2), ('google/mediapipe', 0.5477234125137329, 'ml', 3), ('fourthbrain/fastapi-for-machine-learning-live-demo', 0.5461900234222412, 'web', 1), ('qdrant/qdrant', 0.546108603477478, 'data', 3), ('pytorchlightning/pytorch-lightning', 0.5442116260528564, 'ml-dl', 2), ('marqo-ai/marqo', 0.5435925126075745, 'ml', 2), ('alpa-projects/alpa', 0.5415318012237549, 'ml-dl', 2), ('zenml-io/zenml', 0.5385584831237793, 'ml-ops', 4), ('ml-tooling/opyrator', 0.5350887775421143, 'viz', 2), ('tensorflow/tensorflow', 0.5316888093948364, 'ml-dl', 2), ('activeloopai/deeplake', 0.5312637686729431, 'ml-ops', 3), ('docarray/docarray', 0.5284995436668396, 'data', 5), ('merantix-momentum/squirrel-core', 0.5257314443588257, 'ml', 2), ('stability-ai/stability-sdk', 0.524762749671936, 'diffusion', 1), ('luodian/otter', 0.5234236121177673, 'llm', 2), ('bodywork-ml/bodywork-core', 0.523324728012085, 'ml-ops', 6), ('antonosika/gpt-engineer', 0.5212904214859009, 'llm', 0), ('ludwig-ai/ludwig', 0.5165185332298279, 'ml-ops', 2), ('mlflow/mlflow', 0.5164972543716431, 'ml-ops', 1), ('determined-ai/determined', 0.5140607953071594, 'ml-ops', 4), ('zenml-io/mlstacks', 0.514028012752533, 'ml-ops', 1), ('tensorlayer/tensorlayer', 0.5102136135101318, 'ml-rl', 1), ('microsoft/semantic-kernel', 0.5081870555877686, 'llm', 0), ('adap/flower', 0.5048282146453857, 'ml-ops', 4), ('transformeroptimus/superagi', 0.5039621591567993, 'llm', 1), ('gradio-app/gradio', 0.5035788416862488, 'viz', 2), ('superduperdb/superduperdb', 0.5026459097862244, 'data', 2), ('eventual-inc/daft', 0.5019222497940063, 'pandas', 2), ('deepmind/dm_control', 0.5015859603881836, 'ml-rl', 2), ('lastmile-ai/aiconfig', 0.5008789300918579, 'util', 1)]

176

2

null

6.81

198

181

48

0

25

99

25

198

172

90

0.9

69

280

util

https://github.com/squidfunk/mkdocs-material

[]

null

[]

null

squidfunk/mkdocs-material

mkdocs-material

16,958

3,239

123

HTML

https://squidfunk.github.io/mkdocs-material/

Documentation that simply works

squidfunk

2024-01-14

2016-01-28

417

40.597127

null

Documentation that simply works

['documentation', 'framework', 'material-design', 'mkdocs', 'plugins', 'theme']

2024-01-10

[('mkdocstrings/mkdocstrings', 0.6913550496101379, 'util', 1), ('sphinx-doc/sphinx', 0.6544510126113892, 'util', 1), ('mitmproxy/pdoc', 0.6519834399223328, 'util', 1), ('mkdocs/mkdocs', 0.6341920495033264, 'util', 2), ('executablebooks/jupyter-book', 0.5147403478622437, 'jupyter', 0)]

249

3

null

17.6

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282

97

0

68

46

68

316

870

90

2.8

69

1,611

llm

https://github.com/thudm/chatglm2-6b

[]

null

[]

null

thudm/chatglm2-6b

ChatGLM2-6B

14,854

2,347

130

Python

null

ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型

thudm

2024-01-14

2023-06-24

31

472.627273

https://avatars.githubusercontent.com/u/48590610?v=4

ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型

['chatglm', 'chatglm-6b', 'large-language-models', 'llm']

2023-10-27

[('li-plus/chatglm.cpp', 0.7250033617019653, 'llm', 2), ('thudm/chatglm-6b', 0.7089318633079529, 'llm', 0), ('nomic-ai/gpt4all', 0.6924757957458496, 'llm', 0), ('hwchase17/langchain', 0.6808525919914246, 'llm', 0), ('fasteval/fasteval', 0.6485232710838318, 'llm', 1), ('microsoft/autogen', 0.6360533237457275, 'llm', 0), ('mlc-ai/web-llm', 0.6331812143325806, 'llm', 1), ('next-gpt/next-gpt', 0.6282567381858826, 'llm', 2), ('lm-sys/fastchat', 0.6237083673477173, 'llm', 0), ('salesforce/xgen', 0.6184314489364624, 'llm', 2), ('young-geng/easylm', 0.601020097732544, 'llm', 1), ('intel/intel-extension-for-transformers', 0.6007229685783386, 'perf', 0), ('freedomintelligence/llmzoo', 0.5987119078636169, 'llm', 0), ('nat/openplayground', 0.5894226431846619, 'llm', 0), ('lchen001/llmdrift', 0.5880559086799622, 'llm', 0), ('cg123/mergekit', 0.58427494764328, 'llm', 1), ('dylanhogg/llmgraph', 0.580618679523468, 'ml', 1), ('openlmlab/moss', 0.5803049802780151, 'llm', 1), ('deep-diver/llm-as-chatbot', 0.5782683491706848, 'llm', 0), ('hiyouga/llama-efficient-tuning', 0.5761158466339111, 'llm', 3), ('hiyouga/llama-factory', 0.5761158466339111, 'llm', 3), ('baichuan-inc/baichuan-13b', 0.5701199173927307, 'llm', 1), ('bobazooba/xllm', 0.5669134855270386, 'llm', 2), ('lingjzhu/charsiug2p', 0.5563612580299377, 'nlp', 0), ('zhudotexe/kani', 0.5553779602050781, 'llm', 1), ('gunthercox/chatterbot-corpus', 0.5543924570083618, 'nlp', 0), ('eugeneyan/open-llms', 0.5501125454902649, 'study', 2), ('run-llama/rags', 0.547817587852478, 'llm', 1), ('hannibal046/awesome-llm', 0.5458086133003235, 'study', 0), ('infinitylogesh/mutate', 0.5451502203941345, 'nlp', 0), ('guidance-ai/guidance', 0.5406391024589539, 'llm', 0), ('explosion/spacy-llm', 0.5399860739707947, 'llm', 2), ('lianjiatech/belle', 0.5378761887550354, 'llm', 0), ('embedchain/embedchain', 0.5360315442085266, 'llm', 1), ('eleutherai/the-pile', 0.5338200330734253, 'data', 1), ('deepset-ai/haystack', 0.5324009656906128, 'llm', 1), ('confident-ai/deepeval', 0.5323322415351868, 'testing', 1), ('ctlllll/llm-toolmaker', 0.5311850309371948, 'llm', 0), ('ai21labs/lm-evaluation', 0.5304546356201172, 'llm', 0), ('sjtu-ipads/powerinfer', 0.5270649194717407, 'llm', 2), ('thudm/glm-130b', 0.5260385274887085, 'llm', 0), ('salesforce/codet5', 0.524960994720459, 'nlp', 1), ('langchain-ai/langgraph', 0.5230793356895447, 'llm', 0), ('aiwaves-cn/agents', 0.5184250473976135, 'nlp', 1), ('ray-project/ray-llm', 0.5179040431976318, 'llm', 2), ('whu-zqh/chatgpt-vs.-bert', 0.5137940645217896, 'llm', 0), ('night-chen/toolqa', 0.5134639143943787, 'llm', 1), ('chainlit/chainlit', 0.5131312608718872, 'llm', 1), ('cstankonrad/long_llama', 0.5114611387252808, 'llm', 0), ('pathwaycom/llm-app', 0.5088384747505188, 'llm', 1), ('zilliztech/gptcache', 0.507978081703186, 'llm', 1), ('microsoft/lora', 0.5071834921836853, 'llm', 0), ('databrickslabs/dolly', 0.506598949432373, 'llm', 0), ('juncongmoo/pyllama', 0.5058130621910095, 'llm', 0), ('bigscience-workshop/petals', 0.5052765607833862, 'data', 1), ('langchain-ai/chat-langchain', 0.5037407875061035, 'llm', 0), ('artidoro/qlora', 0.5035903453826904, 'llm', 0), ('blinkdl/chatrwkv', 0.5033798813819885, 'llm', 0), ('ibm/dromedary', 0.50322425365448, 'llm', 0), ('chatarena/chatarena', 0.5024993419647217, 'llm', 1), ('lupantech/chameleon-llm', 0.5024386644363403, 'llm', 1)]

11

9

null

1.1

123

18

7

3

0

123

118

90

1

69

1,307

study

https://github.com/hannibal046/awesome-llm

['awesome', 'language-model', 'gpt']

null

[]

null

hannibal046/awesome-llm

Awesome-LLM

11,253

847

293

null

Awesome-LLM: a curated list of Large Language Model

hannibal046

2024-01-14

2023-02-17

49

227.005764

null

Awesome-LLM: a curated list of Large Language Model

[]

['awesome', 'gpt', 'language-model']

2024-01-04

[('lianjiatech/belle', 0.8117328882217407, 'llm', 0), ('freedomintelligence/llmzoo', 0.7315229177474976, 'llm', 1), ('ai21labs/lm-evaluation', 0.725335955619812, 'llm', 1), ('ctlllll/llm-toolmaker', 0.708982527256012, 'llm', 1), ('juncongmoo/pyllama', 0.6920731067657471, 'llm', 0), ('next-gpt/next-gpt', 0.6860809922218323, 'llm', 0), ('guidance-ai/guidance', 0.6724131107330322, 'llm', 1), ('microsoft/autogen', 0.662517249584198, 'llm', 1), ('togethercomputer/redpajama-data', 0.6528944969177246, 'llm', 0), ('cg123/mergekit', 0.6510716080665588, 'llm', 0), ('oobabooga/text-generation-webui', 0.65085768699646, 'llm', 1), ('baichuan-inc/baichuan-13b', 0.6444519758224487, 'llm', 0), ('prefecthq/langchain-prefect', 0.6407128572463989, 'llm', 0), ('lm-sys/fastchat', 0.6385653614997864, 'llm', 1), ('xtekky/gpt4free', 0.6301591992378235, 'llm', 2), ('bigscience-workshop/megatron-deepspeed', 0.6277967095375061, 'llm', 0), ('microsoft/megatron-deepspeed', 0.6277967095375061, 'llm', 0), ('bobazooba/xllm', 0.6244999766349792, 'llm', 1), ('microsoft/lora', 0.6244948506355286, 'llm', 1), ('lupantech/chameleon-llm', 0.6220220327377319, 'llm', 1), ('huggingface/text-generation-inference', 0.616241455078125, 'llm', 1), ('sjtu-ipads/powerinfer', 0.6129886507987976, 'llm', 0), ('eleutherai/the-pile', 0.6086982488632202, 'data', 0), ('guardrails-ai/guardrails', 0.6082257032394409, 'llm', 0), ('tatsu-lab/stanford_alpaca', 0.6053584218025208, 'llm', 1), ('mooler0410/llmspracticalguide', 0.6038196682929993, 'study', 1), ('jonasgeiping/cramming', 0.603162944316864, 'nlp', 1), ('bigscience-workshop/biomedical', 0.6027185916900635, 'data', 0), ('salesforce/xgen', 0.6004391312599182, 'llm', 1), ('reasoning-machines/pal', 0.5971046090126038, 'llm', 1), ('databrickslabs/dolly', 0.5911993384361267, 'llm', 1), ('infinitylogesh/mutate', 0.5907807350158691, 'nlp', 1), ('optimalscale/lmflow', 0.5771458745002747, 'llm', 1), ('eleutherai/lm-evaluation-harness', 0.5770836472511292, 'llm', 1), ('srush/minichain', 0.5760703086853027, 'llm', 0), ('spcl/graph-of-thoughts', 0.5740511417388916, 'llm', 0), ('keirp/automatic_prompt_engineer', 0.5738133192062378, 'llm', 1), ('hiyouga/llama-factory', 0.5673015117645264, 'llm', 2), ('hiyouga/llama-efficient-tuning', 0.5673013925552368, 'llm', 2), ('conceptofmind/toolformer', 0.5643236041069031, 'llm', 1), ('yueyu1030/attrprompt', 0.5640091896057129, 'llm', 0), ('openai/gpt-2', 0.5629648566246033, 'llm', 0), ('paperswithcode/galai', 0.5614985823631287, 'llm', 1), ('young-geng/easylm', 0.5593286752700806, 'llm', 1), ('yizhongw/self-instruct', 0.5532945394515991, 'llm', 1), ('explosion/spacy-models', 0.5515271425247192, 'nlp', 0), ('mlc-ai/web-llm', 0.5478937029838562, 'llm', 1), ('thudm/chatglm2-6b', 0.5458086133003235, 'llm', 0), ('killianlucas/open-interpreter', 0.5456922054290771, 'llm', 0), ('epfllm/meditron', 0.5448260307312012, 'llm', 1), ('paddlepaddle/paddlenlp', 0.5444208383560181, 'llm', 0), ('openbmb/toolbench', 0.5423779487609863, 'llm', 0), ('jalammar/ecco', 0.5404885411262512, 'ml-interpretability', 0), ('openlmlab/leval', 0.540010392665863, 'llm', 1), ('openlmlab/moss', 0.5380090475082397, 'llm', 1), ('dylanhogg/llmgraph', 0.5356044769287109, 'ml', 0), ('minimaxir/gpt-2-simple', 0.5346177220344543, 'llm', 0), ('hazyresearch/h3', 0.5333759784698486, 'llm', 0), ('mit-han-lab/streaming-llm', 0.5322656035423279, 'llm', 0), ('openai/finetune-transformer-lm', 0.527682363986969, 'llm', 0), ('facebookresearch/shepherd', 0.5266714692115784, 'llm', 1), ('lucidrains/toolformer-pytorch', 0.5266475677490234, 'llm', 1), ('aiwaves-cn/agents', 0.5250198245048523, 'nlp', 1), ('neulab/prompt2model', 0.525016188621521, 'llm', 1), ('ggerganov/ggml', 0.5245451927185059, 'ml', 0), ('nvlabs/prismer', 0.5241163969039917, 'diffusion', 1), ('princeton-nlp/alce', 0.5235013365745544, 'llm', 0), ('muennighoff/sgpt', 0.5209395885467529, 'llm', 2), ('fasteval/fasteval', 0.5191826820373535, 'llm', 0), ('lingjzhu/charsiug2p', 0.5186607241630554, 'nlp', 0), ('huawei-noah/pretrained-language-model', 0.5183480381965637, 'nlp', 0), ('langchain-ai/langgraph', 0.5179132223129272, 'llm', 0), ('timdettmers/bitsandbytes', 0.5172896385192871, 'util', 0), ('explosion/spacy-llm', 0.5151101350784302, 'llm', 0), ('microsoft/pycodegpt', 0.51466304063797, 'llm', 0), ('bytedance/lightseq', 0.5142962336540222, 'nlp', 1), ('nvidia/tensorrt-llm', 0.5133680105209351, 'viz', 1), ('eleutherai/gpt-neo', 0.5118930339813232, 'llm', 2), ('nat/openplayground', 0.5065643787384033, 'llm', 1), ('1rgs/jsonformer', 0.5063848495483398, 'llm', 0), ('gkamradt/langchain-tutorials', 0.5057912468910217, 'study', 0), ('llmware-ai/llmware', 0.5052445530891418, 'llm', 0), ('cstankonrad/long_llama', 0.5006245970726013, 'llm', 1)]

64

6

null

5.29

17

14

11

0

17

21

90

1.2

69

122

ml-ops

https://github.com/dagster-io/dagster

[]

null

[]

null

dagster-io/dagster

dagster

9,380

1,160

108

Python

https://dagster.io

An orchestration platform for the development, production, and observation of data assets.

dagster-io

2024-01-14

2018-04-30

300

31.251785

https://avatars.githubusercontent.com/u/40032576?v=4

An orchestration platform for the development, production, and observation of data assets.

['analytics', 'dagster', 'data-engineering', 'data-integration', 'data-orchestrator', 'data-pipelines', 'data-science', 'etl', 'metadata', 'mlops', 'orchestration', 'scheduler', 'workflow', 'workflow-automation']

2024-01-13

[('flyteorg/flyte', 0.7850085496902466, 'ml-ops', 3), ('kestra-io/kestra', 0.7322535514831543, 'ml-ops', 7), ('airbytehq/airbyte', 0.6772870421409607, 'data', 3), ('mage-ai/mage-ai', 0.6750965714454651, 'ml-ops', 6), ('apache/airflow', 0.6647198796272278, 'ml-ops', 10), ('orchest/orchest', 0.6582160592079163, 'ml-ops', 3), ('avaiga/taipy', 0.6245914101600647, 'data', 4), ('netflix/metaflow', 0.6058613657951355, 'ml-ops', 2), ('meltano/meltano', 0.60458904504776, 'ml-ops', 2), ('ploomber/ploomber', 0.6021184325218201, 'ml-ops', 4), ('prefecthq/prefect', 0.5984505414962769, 'ml-ops', 4), ('dagworks-inc/hamilton', 0.5917893052101135, 'ml-ops', 5), ('polyaxon/polyaxon', 0.5835554003715515, 'ml-ops', 3), ('pydoit/doit', 0.5810200572013855, 'util', 3), ('bodywork-ml/bodywork-core', 0.5800526142120361, 'ml-ops', 3), ('backtick-se/cowait', 0.5563982725143433, 'util', 2), ('simonw/datasette', 0.5505277514457703, 'data', 0), ('prefecthq/server', 0.5430384278297424, 'util', 2), ('spotify/luigi', 0.5423729419708252, 'ml-ops', 0), ('astronomer/astro-sdk', 0.5415989756584167, 'ml-ops', 2), ('polyaxon/datatile', 0.5342531800270081, 'pandas', 2), ('fugue-project/fugue', 0.5329538583755493, 'pandas', 0), ('chaostoolkit/chaostoolkit', 0.5302633047103882, 'util', 0), ('dbt-labs/dbt-core', 0.5295764803886414, 'ml-ops', 1), ('databrickslabs/dbx', 0.5274744033813477, 'data', 1), ('saulpw/visidata', 0.515415370464325, 'term', 0), ('merantix-momentum/squirrel-core', 0.5139255523681641, 'ml', 1), ('featureform/embeddinghub', 0.512913703918457, 'nlp', 2), ('lithops-cloud/lithops', 0.5072967410087585, 'ml-ops', 0), ('kedro-org/kedro', 0.5058962106704712, 'ml-ops', 1)]

380

4

null

78.85

1,651

1,070

70

0

66

125

66

1,649

2,509

90

1.5

69

83

data

https://github.com/sqlalchemy/sqlalchemy

[]

null

[]

null

sqlalchemy/sqlalchemy

sqlalchemy

8,261

1,314

90

Python

https://www.sqlalchemy.org

The Database Toolkit for Python

sqlalchemy

2024-01-14

2018-11-27

270

30.596296

https://avatars.githubusercontent.com/u/6043126?v=4

The Database Toolkit for Python

['sql', 'sqlalchemy']

2024-01-13

[('sqlalchemy/alembic', 0.8273295164108276, 'data', 2), ('tiangolo/sqlmodel', 0.8052466511726379, 'data', 2), ('agronholm/sqlacodegen', 0.7499924302101135, 'data', 0), ('ibis-project/ibis', 0.741746723651886, 'data', 2), ('mause/duckdb_engine', 0.6847227215766907, 'data', 2), ('mcfunley/pugsql', 0.6739656329154968, 'data', 1), ('andialbrecht/sqlparse', 0.6582309007644653, 'data', 0), ('simonw/sqlite-utils', 0.6196154952049255, 'data', 0), ('aminalaee/sqladmin', 0.6173149347305298, 'data', 1), ('tobymao/sqlglot', 0.6049283742904663, 'data', 1), ('collerek/ormar', 0.6017918586730957, 'data', 1), ('kayak/pypika', 0.5847384333610535, 'data', 1), ('malloydata/malloy-py', 0.5755621790885925, 'data', 1), ('macbre/sql-metadata', 0.5708635449409485, 'data', 1), ('aio-libs/aiopg', 0.5661270618438721, 'data', 1), ('tconbeer/harlequin', 0.5578516721725464, 'term', 1), ('aio-libs/aiomysql', 0.5567764043807983, 'data', 1), ('accenture/cymple', 0.5566608309745789, 'data', 0), ('machow/siuba', 0.5513966679573059, 'pandas', 1), ('eleutherai/pyfra', 0.5482377409934998, 'ml', 0), ('strawberry-graphql/strawberry', 0.5367457866668701, 'web', 0), ('pytables/pytables', 0.531848132610321, 'data', 0), ('aeternalis-ingenium/fastapi-backend-template', 0.5284538269042969, 'web', 1), ('pytoolz/toolz', 0.5267731547355652, 'util', 0), ('geopandas/geopandas', 0.5259225964546204, 'gis', 0), ('goldmansachs/gs-quant', 0.5246463418006897, 'finance', 0), ('sfu-db/connector-x', 0.5162760019302368, 'data', 1), ('jazzband/tablib', 0.5141265392303467, 'data', 0), ('python-cachier/cachier', 0.5100117921829224, 'perf', 0), ('falconry/falcon', 0.509283185005188, 'web', 0), ('nasdaq/data-link-python', 0.5085864067077637, 'finance', 0)]

677

5

null

17.87

234

158

62

0

32

59

32

234

797

90

3.4

69

1,894

nlp

https://github.com/m-bain/whisperx

[]

null

[]

null

m-bain/whisperx

whisperX

7,397

703

106

Python

null

WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)

m-bain

2024-01-14

2022-12-09

59

124.170264

null

WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)

['asr', 'speech', 'speech-recognition', 'speech-to-text', 'whisper']

2024-01-03

[('uberi/speech_recognition', 0.6138349771499634, 'ml', 2), ('cmusphinx/pocketsphinx', 0.58738112449646, 'ml', 1), ('espnet/espnet', 0.5822861194610596, 'nlp', 1), ('ggerganov/whisper.cpp', 0.582147479057312, 'util', 3), ('speechbrain/speechbrain', 0.5771469473838806, 'nlp', 3), ('vaibhavs10/insanely-fast-whisper', 0.5447807312011719, 'llm', 1), ('nvidia/nemo', 0.5402535796165466, 'nlp', 3), ('facebookresearch/seamless_communication', 0.5283752083778381, 'nlp', 1), ('sanchit-gandhi/whisper-jax', 0.5212621688842773, 'ml', 3), ('nateshmbhat/pyttsx3', 0.5181179046630859, 'util', 0), ('pndurette/gtts', 0.509675920009613, 'util', 1), ('openai/whisper', 0.5077972412109375, 'ml-dl', 2), ('neonbjb/tortoise-tts', 0.5033969283103943, 'ml', 0), ('rasahq/rasa', 0.5019509792327881, 'llm', 0)]

67

4

null

3.71

187

61

13

0

7

186

273

90

1.5

69

1,365

llm

https://github.com/chainlit/chainlit

[]

null

[]

null

chainlit/chainlit

chainlit

4,315

504

43

TypeScript

https://docs.chainlit.io

Build Python LLM apps in minutes ⚡️

chainlit

2024-01-14

2023-03-14

46

93.804348

https://avatars.githubusercontent.com/u/128686189?v=4

Build Python LLM apps in minutes ⚡️

['chatgpt', 'langchain', 'llm', 'openai', 'openai-chatgpt', 'ui']

2024-01-12

[('berriai/litellm', 0.6367120742797852, 'llm', 3), ('hwchase17/langchain', 0.6356831789016724, 'llm', 1), ('shishirpatil/gorilla', 0.6185116171836853, 'llm', 2), ('mmabrouk/chatgpt-wrapper', 0.6109486222267151, 'llm', 3), ('run-llama/rags', 0.61057049036026, 'llm', 3), ('microsoft/promptflow', 0.6072118878364563, 'llm', 2), ('intel/intel-extension-for-transformers', 0.5824191570281982, 'perf', 0), ('microsoft/semantic-kernel', 0.5796830654144287, 'llm', 2), ('pathwaycom/llm-app', 0.5761844515800476, 'llm', 1), ('minimaxir/simpleaichat', 0.5655502080917358, 'llm', 1), ('nomic-ai/gpt4all', 0.5640503168106079, 'llm', 0), ('alphasecio/langchain-examples', 0.5578954815864563, 'llm', 3), ('citadel-ai/langcheck', 0.5534338355064392, 'llm', 0), ('deep-diver/llm-as-chatbot', 0.548169732093811, 'llm', 0), ('opengenerativeai/genossgpt', 0.5370033979415894, 'llm', 2), ('h2oai/h2o-llmstudio', 0.5345412492752075, 'llm', 2), ('microsoft/promptcraft-robotics', 0.5212441086769104, 'sim', 2), ('microsoft/autogen', 0.5154480338096619, 'llm', 1), ('exaloop/codon', 0.5148961544036865, 'perf', 0), ('thudm/chatglm2-6b', 0.5131312608718872, 'llm', 1), ('embedchain/embedchain', 0.5102947354316711, 'llm', 2), ('openai/openai-cookbook', 0.5076209306716919, 'ml', 2)]

28

5

null

11.1

218

153

10

0

59

72

59

218

429

90

2

69

1,402

security

https://github.com/swisskyrepo/payloadsallthethings

[]

null

[]

null

swisskyrepo/payloadsallthethings

PayloadsAllTheThings

54,665

13,867

1,762

Python

https://swisskyrepo.github.io/PayloadsAllTheThings/

A list of useful payloads and bypass for Web Application Security and Pentest/CTF

swisskyrepo

2024-01-14

2016-10-18

380

143.855263

null

A list of useful payloads and bypass for Web Application Security and Pentest/CTF

['bounty', 'bugbounty', 'bypass', 'cheatsheet', 'enumeration', 'hacking', 'methodology', 'payload', 'payloads', 'penetration-testing', 'pentest', 'privilege-escalation', 'redteam', 'security', 'vulnerability', 'web-application']

2024-01-12

[('flipkart-incubator/astra', 0.5459146499633789, 'web', 2), ('rhinosecuritylabs/pacu', 0.5338615775108337, 'security', 2), ('sqlmapproject/sqlmap', 0.5263312458992004, 'security', 0)]

288

5

null

2.88

21

88

0

1

21

6

90

0.3

68

1,165

ml-dl

https://github.com/facebookresearch/segment-anything

['instance-segmentation', 'object-detection']

null

[]

null

facebookresearch/segment-anything

segment-anything

41,500

4,868

287

Jupyter Notebook

null

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

facebookresearch

2024-01-14

2023-03-23

44

928.115016

https://avatars.githubusercontent.com/u/16943930?v=4

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

[]

['instance-segmentation', 'object-detection']

2023-05-02

[('matterport/mask_rcnn', 0.5424768328666687, 'ml-dl', 2), ('roboflow/notebooks', 0.51060950756073, 'study', 1)]

16

5

null

0.67

159

29

10

9

0

159

259

90

1.6

68

1,381

ml

https://github.com/google-research/google-research

[]

This repository contains code released by Google Research

[]

null

google-research/google-research

google-research

31,889

7,754

749

Jupyter Notebook

https://research.google

Google Research

google-research

2024-01-14

2018-10-04

277

114.826646

https://avatars.githubusercontent.com/u/43830688?v=4

Google Research

['ai', 'machine-learning', 'research']

2024-01-09

[('google-research/language', 0.6985517740249634, 'nlp', 2), ('googlecloudplatform/vertex-ai-samples', 0.6550525426864624, 'ml', 1), ('alirezadir/machine-learning-interview-enlightener', 0.6368386745452881, 'study', 2), ('google-research/byt5', 0.6097835898399353, 'nlp', 0), ('google-research/t5x', 0.6067818999290466, 'ml', 0), ('tensorflow/tensor2tensor', 0.5845038890838623, 'ml', 1), ('xplainable/xplainable', 0.5756439566612244, 'ml-interpretability', 1), ('openbb-finance/openbbterminal', 0.5702900886535645, 'finance', 1), ('mindsdb/mindsdb', 0.5539237856864929, 'data', 2), ('bentoml/bentoml', 0.5528449416160583, 'ml-ops', 2), ('assafelovic/gpt-researcher', 0.545631468296051, 'llm', 0), ('hpcaitech/colossalai', 0.542206883430481, 'llm', 1), ('oneil512/insight', 0.5356377363204956, 'ml', 1), ('oegedijk/explainerdashboard', 0.5351460576057434, 'ml-interpretability', 0), ('google/dopamine', 0.5344747304916382, 'ml-rl', 1), ('firmai/industry-machine-learning', 0.5328598618507385, 'study', 1), ('mlflow/mlflow', 0.5312324166297913, 'ml-ops', 2), ('patchy631/machine-learning', 0.5150724053382874, 'ml', 0), ('iterative/dvc', 0.5124830603599548, 'ml-ops', 2), ('ml-for-high-risk-apps-book/machine-learning-for-high-risk-applications-book', 0.5109012126922607, 'study', 1), ('drivendata/cookiecutter-data-science', 0.5077729225158691, 'template', 2), ('pytorchlightning/pytorch-lightning', 0.5055912733078003, 'ml-dl', 2), ('seldonio/alibi', 0.5054081678390503, 'ml-interpretability', 1), ('automl/auto-sklearn', 0.5043892860412598, 'ml', 0), ('feast-dev/feast', 0.5038433074951172, 'ml-ops', 1)]

763

3

null

10.79

136

26

64

0

136

96

90

0.7

68

1,183

ml

https://github.com/facebookresearch/faiss

['similarity', 'embeddings', 'vector-search']

null

[]

1

null

facebookresearch/faiss

faiss

26,250

3,274

470

C++

https://faiss.ai

A library for efficient similarity search and clustering of dense vectors.

facebookresearch

2024-01-14

2017-02-07

364

72.115385

https://avatars.githubusercontent.com/u/16943930?v=4

A library for efficient similarity search and clustering of dense vectors.

[]

['embeddings', 'similarity', 'vector-search']

2024-01-13

[('criteo/autofaiss', 0.629601776599884, 'ml', 3), ('qdrant/quaterion', 0.5449787378311157, 'ml', 0), ('qdrant/fastembed', 0.5384175777435303, 'ml', 2), ('plasticityai/magnitude', 0.5381598472595215, 'nlp', 1), ('qdrant/vector-db-benchmark', 0.5264250636100769, 'perf', 1), ('qdrant/qdrant-haystack', 0.518367350101471, 'data', 0), ('spotify/annoy', 0.5121656060218811, 'ml', 0), ('pinecone-io/pinecone-python-client', 0.5026112794876099, 'data', 1), ('nmslib/hnswlib', 0.5014215111732483, 'ml', 0)]

150

6

null

4.33

163

82

84

0

1

3

1

163

287

90

1.8

68

45

testing

https://github.com/locustio/locust

[]

null

[]

1

null

locustio/locust

locust

22,905

2,864

434

Python

null

Write scalable load tests in plain Python 🚗💨

locustio

2024-01-13

2011-02-17

675

33.897463

https://avatars.githubusercontent.com/u/2641063?v=4

Write scalable load tests in plain Python 🚗💨

['benchmarking', 'http', 'load-generator', 'load-test', 'load-testing', 'load-tests', 'locust', 'performance', 'performance-testing']

2024-01-11

[('ionelmc/pytest-benchmark', 0.6405083537101746, 'testing', 2), ('klen/py-frameworks-bench', 0.6128438115119934, 'perf', 0), ('wolever/parameterized', 0.5832534432411194, 'testing', 0), ('neoteroi/blacksheep', 0.5740907192230225, 'web', 1), ('pmorissette/bt', 0.5575364828109741, 'finance', 0), ('sumerc/yappi', 0.5397162437438965, 'profiling', 1), ('encode/httpx', 0.5382368564605713, 'web', 1), ('joblib/joblib', 0.534275233745575, 'util', 0), ('requests/toolbelt', 0.5336475968360901, 'util', 1), ('falconry/falcon', 0.5264105200767517, 'web', 1), ('pympler/pympler', 0.5212385058403015, 'perf', 0), ('nedbat/coveragepy', 0.5198348760604858, 'testing', 0), ('pytest-dev/pytest', 0.5194878578186035, 'testing', 0), ('klen/muffin', 0.5192926526069641, 'web', 0), ('fastai/fastcore', 0.5126659870147705, 'util', 0), ('pallets/quart', 0.5093166828155518, 'web', 0), ('python-cachier/cachier', 0.5075251460075378, 'perf', 0), ('getsentry/responses', 0.5024783611297607, 'testing', 0)]

312

6

null

6.92

163

154

157

0

14

9

14

163

376

90

2.3

68

1,168

llm

https://github.com/microsoft/jarvis

[]

null

[]

null

microsoft/jarvis

JARVIS

22,433

1,941

376

Python

null

JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf

microsoft

2024-01-14

2023-03-30

43

513.173203

https://avatars.githubusercontent.com/u/6154722?v=4

JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf

['deep-learning', 'platform', 'pytorch']

2024-01-12

[('iryna-kondr/scikit-llm', 0.6588683128356934, 'llm', 1), ('vllm-project/vllm', 0.632617175579071, 'llm', 1), ('microsoft/torchscale', 0.5797202587127686, 'llm', 0), ('ludwig-ai/ludwig', 0.5734522342681885, 'ml-ops', 2), ('microsoft/semantic-kernel', 0.572293758392334, 'llm', 0), ('nomic-ai/gpt4all', 0.5687279105186462, 'llm', 0), ('bigscience-workshop/petals', 0.5665638446807861, 'data', 2), ('predibase/lorax', 0.5660221576690674, 'llm', 1), ('horovod/horovod', 0.5595570206642151, 'ml-ops', 2), ('bobazooba/xllm', 0.5591229200363159, 'llm', 2), ('nebuly-ai/nebullvm', 0.5589395761489868, 'perf', 0), ('tensorflow/tensor2tensor', 0.5555034279823303, 'ml', 1), ('alpha-vllm/llama2-accessory', 0.5535730719566345, 'llm', 0), ('tigerlab-ai/tiger', 0.552547812461853, 'llm', 0), ('aiqc/aiqc', 0.5510006546974182, 'ml-ops', 0), ('bentoml/openllm', 0.5471473336219788, 'ml-ops', 0), ('ray-project/ray-llm', 0.5456799268722534, 'llm', 0), ('tensorflow/tensorflow', 0.5449208617210388, 'ml-dl', 1), ('pathwaycom/llm-app', 0.544485330581665, 'llm', 0), ('rasbt/deeplearning-models', 0.5421392321586609, 'ml-dl', 0), ('truera/trulens', 0.5391638278961182, 'llm', 0), ('determined-ai/determined', 0.5367454290390015, 'ml-ops', 2), ('eugeneyan/open-llms', 0.5364652276039124, 'study', 0), ('mooler0410/llmspracticalguide', 0.5358785390853882, 'study', 0), ('paddlepaddle/paddle', 0.5339170098304749, 'ml-dl', 1), ('microsoft/lmops', 0.5317671895027161, 'llm', 0), ('young-geng/easylm', 0.5291217565536499, 'llm', 1), ('deepset-ai/haystack', 0.5287731885910034, 'llm', 1), ('argilla-io/argilla', 0.5283769369125366, 'nlp', 0), ('dylanhogg/llmgraph', 0.5276885032653809, 'ml', 0), ('uber/petastorm', 0.5265276432037354, 'data', 2), ('mrdbourke/pytorch-deep-learning', 0.5219099521636963, 'study', 2), ('deep-diver/llm-as-chatbot', 0.5197903513908386, 'llm', 0), ('mlflow/mlflow', 0.517335832118988, 'ml-ops', 0), ('intel/intel-extension-for-transformers', 0.5154780149459839, 'perf', 0), ('huggingface/datasets', 0.5145260691642761, 'nlp', 2), ('night-chen/toolqa', 0.5131213068962097, 'llm', 0), ('salesforce/xgen', 0.5117494463920593, 'llm', 0), ('titanml/takeoff', 0.5107346773147583, 'llm', 0), ('nvidia/tensorrt-llm', 0.5096875429153442, 'viz', 0), ('mlc-ai/mlc-llm', 0.5086725354194641, 'llm', 0), ('ddbourgin/numpy-ml', 0.5069154500961304, 'ml', 0), ('lamini-ai/llm-classifier', 0.5053083300590515, 'llm', 0), ('microsoft/onnxruntime', 0.5037975907325745, 'ml', 2), ('apache/incubator-mxnet', 0.5016826391220093, 'ml-dl', 0)]

23

5

null

1.42

25

1

10

0

25

9

90

0.4

68

6

viz

https://github.com/bokeh/bokeh

[]

null

[]

null

bokeh/bokeh

bokeh

18,477

4,202

443

Python

https://bokeh.org

Interactive Data Visualization in the browser, from Python

bokeh

2024-01-13

2012-03-26

618

29.891149

https://avatars.githubusercontent.com/u/8440965?v=4

Interactive Data Visualization in the browser, from Python

['bokeh', 'data-visualisation', 'interactive-plots', 'javascript', 'jupyter', 'notebooks', 'numfocus', 'plots', 'plotting', 'visualisation', 'visualization']

2024-01-09

[('holoviz/panel', 0.7603949308395386, 'viz', 2), ('plotly/plotly.py', 0.7521082758903503, 'viz', 1), ('plotly/dash', 0.7066522240638733, 'viz', 1), ('man-group/dtale', 0.6867046356201172, 'viz', 1), ('vizzuhq/ipyvizzu', 0.6746152639389038, 'jupyter', 2), ('maartenbreddels/ipyvolume', 0.6592708230018616, 'jupyter', 3), ('holoviz/holoviz', 0.6567468047142029, 'viz', 0), ('cuemacro/chartpy', 0.6531518697738647, 'viz', 2), ('kanaries/pygwalker', 0.6463139653205872, 'pandas', 1), ('matplotlib/matplotlib', 0.6447177529335022, 'viz', 1), ('giswqs/geemap', 0.6420087218284607, 'gis', 1), ('altair-viz/altair', 0.6335301399230957, 'viz', 1), ('residentmario/geoplot', 0.6318153738975525, 'gis', 0), ('mwaskom/seaborn', 0.6307612061500549, 'viz', 0), ('holoviz/hvplot', 0.6104094982147217, 'pandas', 1), ('opengeos/leafmap', 0.5971899032592773, 'gis', 1), ('nomic-ai/deepscatter', 0.594667911529541, 'viz', 1), ('python-visualization/folium', 0.5900196433067322, 'gis', 1), ('visgl/deck.gl', 0.5892252326011658, 'viz', 2), ('holoviz/geoviews', 0.5875713229179382, 'gis', 1), ('pyqtgraph/pyqtgraph', 0.5844684839248657, 'viz', 1), ('raphaelquast/eomaps', 0.5836126804351807, 'gis', 2), ('r0x0r/pywebview', 0.5825904607772827, 'gui', 1), ('has2k1/plotnine', 0.5768696069717407, 'viz', 1), ('alexmojaki/heartrate', 0.571494460105896, 'debug', 1), ('lux-org/lux', 0.5685267448425293, 'viz', 2), ('federicoceratto/dashing', 0.5679104924201965, 'term', 0), ('jiffyclub/snakeviz', 0.5664529204368591, 'profiling', 0), ('masoniteframework/masonite', 0.5602609515190125, 'web', 0), ('pyvista/pyvista', 0.559531569480896, 'viz', 2), ('seleniumbase/seleniumbase', 0.5535537004470825, 'testing', 0), ('westhealth/pyvis', 0.55198734998703, 'graph', 0), ('enthought/mayavi', 0.550900936126709, 'viz', 1), ('polyaxon/datatile', 0.5476343631744385, 'pandas', 0), ('gaogaotiantian/viztracer', 0.5466111302375793, 'profiling', 1), ('giswqs/mapwidget', 0.5409641861915588, 'gis', 1), ('contextlab/hypertools', 0.5384601950645447, 'ml', 1), ('mckinsey/vizro', 0.5383272171020508, 'viz', 1), ('hoffstadt/dearpygui', 0.5377543568611145, 'gui', 0), ('voila-dashboards/voila', 0.5361472368240356, 'jupyter', 1), ('webpy/webpy', 0.5360361933708191, 'web', 0), ('brandtbucher/specialist', 0.5352582931518555, 'perf', 0), ('pyglet/pyglet', 0.5342501401901245, 'gamedev', 0), ('klen/muffin', 0.5334693193435669, 'web', 0), ('willmcgugan/textual', 0.5320950150489807, 'term', 0), ('ranaroussi/quantstats', 0.5271790027618408, 'finance', 2), ('pyscript/pyscript', 0.5267843008041382, 'web', 1), ('jakevdp/pythondatasciencehandbook', 0.5242840051651001, 'study', 0), ('hazyresearch/meerkat', 0.5242655277252197, 'viz', 0), ('graphistry/pygraphistry', 0.5225502252578735, 'data', 2), ('pysimplegui/pysimplegui', 0.5222162008285522, 'gui', 0), ('vaexio/vaex', 0.5212001800537109, 'perf', 1), ('jalammar/ecco', 0.5211085081100464, 'ml-interpretability', 1), ('wesm/pydata-book', 0.5152010321617126, 'study', 0), ('matplotlib/mplfinance', 0.5142570734024048, 'finance', 0), ('imageio/imageio', 0.5136635303497314, 'util', 0), ('parthjadhav/tkinter-designer', 0.5127165913581848, 'gui', 0), ('jupyter-widgets/ipywidgets', 0.5115343928337097, 'jupyter', 0), ('vispy/vispy', 0.5114392638206482, 'viz', 1), ('eleutherai/pyfra', 0.5110460519790649, 'ml', 0), ('microsoft/playwright-python', 0.510855495929718, 'testing', 0), ('scitools/iris', 0.5092189908027649, 'gis', 1), ('pygraphviz/pygraphviz', 0.5085844993591309, 'viz', 0), ('gregorhd/mapcompare', 0.5074924826622009, 'gis', 1), ('urwid/urwid', 0.5072845816612244, 'term', 0), ('wxwidgets/phoenix', 0.5054352879524231, 'gui', 0), ('scitools/cartopy', 0.5045799612998962, 'gis', 0), ('roniemartinez/dude', 0.5035302042961121, 'util', 0), ('adamerose/pandasgui', 0.5031503438949585, 'pandas', 0), ('wandb/client', 0.5021753907203674, 'ml', 0)]

680

5

null

8.69

330

228

144

0

9

330

712

90

2.2

68

1,172

llm

https://github.com/yoheinakajima/babyagi

['autonomous-agents', 'artificial-intelligence']

GPT-4 powered task-driven autonomous agent

[]

null

yoheinakajima/babyagi

babyagi

18,298

2,473

280

Python

null

yoheinakajima

2024-01-14

2023-04-03

43

424.125828

null

GPT-4 powered task-driven autonomous agent

[]

['artificial-intelligence', 'autonomous-agents']

2023-09-07

[('assafelovic/gpt-researcher', 0.6752115488052368, 'llm', 0), ('linksoul-ai/autoagents', 0.6577290892601013, 'llm', 1), ('torantulino/auto-gpt', 0.6121024489402771, 'llm', 2), ('antonosika/gpt-engineer', 0.5550106763839722, 'llm', 0), ('operand/agency', 0.53130042552948, 'llm', 2), ('transformeroptimus/superagi', 0.5311616659164429, 'llm', 2), ('geekan/metagpt', 0.5191521644592285, 'llm', 0)]

87

5

null

5.17

6

2

10

4

0

1

6

1

90

0.2

68

75

typing

https://github.com/python/mypy

['code-quality']

null

[]

null

python/mypy

mypy

17,020

2,765

236

Python

https://www.mypy-lang.org/

Optional static typing for Python

python

2024-01-13

2012-12-07

581

29.265537

https://avatars.githubusercontent.com/u/1525981?v=4

Optional static typing for Python

['linter', 'typechecker', 'types', 'typing']

['code-quality', 'linter', 'typechecker', 'types', 'typing']

2024-01-14

[('microsoft/pyright', 0.8244960904121399, 'typing', 2), ('google/pytype', 0.7456424236297607, 'typing', 5), ('agronholm/typeguard', 0.7131239771842957, 'typing', 2), ('instagram/monkeytype', 0.7129145264625549, 'typing', 1), ('python/typeshed', 0.6911789178848267, 'typing', 3), ('facebook/pyre-check', 0.628227949142456, 'typing', 2), ('instagram/fixit', 0.5660220384597778, 'util', 1), ('patrick-kidger/torchtyping', 0.5514424443244934, 'typing', 1), ('tiangolo/typer', 0.5458303093910217, 'term', 0), ('grantjenks/blue', 0.5406695604324341, 'util', 1), ('landscapeio/prospector', 0.5345390439033508, 'util', 0), ('astral-sh/ruff', 0.533256471157074, 'util', 2), ('pytoolz/toolz', 0.5248755216598511, 'util', 0), ('psf/black', 0.5155326128005981, 'util', 1), ('pycqa/pylint', 0.5039985179901123, 'util', 2), ('pycqa/pyflakes', 0.5037577748298645, 'util', 1)]

690

4

null

16.1

739

373

135

0

8

737

1,435

90

1.9

68

766

ml-dl

https://github.com/sanster/lama-cleaner

[]

null

[]

null

sanster/lama-cleaner

lama-cleaner

14,764

1,530

119

Python

https://lama-cleaner-docs.vercel.app/

Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.

sanster

2024-01-14

2021-11-15

115

128.223325

null

Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.

['inpainting', 'lama', 'latent-diffusion', 'mat', 'pytorch', 'stable-diffusion', 'zits']

2024-01-08

[('open-mmlab/mmediting', 0.5644564032554626, 'ml', 2), ('invoke-ai/invokeai', 0.551865816116333, 'diffusion', 3), ('lkwq007/stablediffusion-infinity', 0.5446968078613281, 'diffusion', 2), ('carson-katri/dream-textures', 0.5392587780952454, 'diffusion', 1), ('timothybrooks/instruct-pix2pix', 0.5218861699104309, 'diffusion', 0), ('automatic1111/stable-diffusion-webui', 0.5176366567611694, 'diffusion', 2), ('albumentations-team/albumentations', 0.515965461730957, 'ml-dl', 0), ('roboflow/notebooks', 0.5101523995399475, 'study', 1)]

14

5

null

3.37

31

12

26

0

11

23

11

31

39

90

1.3

68

407

web

https://github.com/aio-libs/aiohttp

[]

null

[]

null

aio-libs/aiohttp

aiohttp

14,277

1,996

222

Python

https://docs.aiohttp.org

Asynchronous HTTP client/server framework for asyncio and Python

aio-libs

2024-01-14

2013-10-01

539

26.487941

https://avatars.githubusercontent.com/u/7049303?v=4

Asynchronous HTTP client/server framework for asyncio and Python

['aiohttp', 'async', 'asyncio', 'http', 'http-client', 'http-server']

2024-01-12

[('encode/httpx', 0.8457793593406677, 'web', 2), ('encode/uvicorn', 0.7939640879631042, 'web', 3), ('pallets/quart', 0.7800691723823547, 'web', 2), ('neoteroi/blacksheep', 0.7317296862602234, 'web', 3), ('alirn76/panther', 0.7044265270233154, 'web', 0), ('magicstack/uvloop', 0.6718955636024475, 'util', 2), ('miguelgrinberg/python-socketio', 0.6701440215110779, 'util', 1), ('agronholm/anyio', 0.6634643077850342, 'perf', 1), ('timofurrer/awesome-asyncio', 0.6443581581115723, 'study', 1), ('aio-libs/aiobotocore', 0.6436625719070435, 'util', 2), ('python-trio/trio', 0.6344983577728271, 'perf', 1), ('samuelcolvin/aioaws', 0.6308304667472839, 'data', 1), ('encode/starlette', 0.6300008296966553, 'web', 2), ('samuelcolvin/arq', 0.6253662705421448, 'data', 2), ('geeogi/async-python-lambda-template', 0.5915722250938416, 'template', 0), ('ets-labs/python-dependency-injector', 0.5857105255126953, 'util', 2), ('tiangolo/asyncer', 0.5814606547355652, 'perf', 2), ('alex-sherman/unsync', 0.5807369351387024, 'util', 0), ('klen/muffin', 0.5731057524681091, 'web', 1), ('pytest-dev/pytest-asyncio', 0.5665972828865051, 'testing', 1), ('aio-libs/aiokafka', 0.5572373270988464, 'data', 1), ('airtai/faststream', 0.5545108914375305, 'perf', 1), ('cherrypy/cherrypy', 0.5461557507514954, 'web', 2), ('huge-success/sanic', 0.5445988774299622, 'web', 1), ('sumerc/yappi', 0.5396091341972351, 'profiling', 1), ('tornadoweb/tornado', 0.5350281596183777, 'web', 0), ('psf/requests', 0.5318570137023926, 'web', 1), ('websocket-client/websocket-client', 0.5178495049476624, 'web', 0), ('pylons/waitress', 0.5173540711402893, 'web', 1), ('falconry/falcon', 0.512401819229126, 'web', 1), ('requests/toolbelt', 0.5097265839576721, 'util', 1), ('simple-salesforce/simple-salesforce', 0.5096431970596313, 'data', 0), ('jordaneremieff/mangum', 0.5083812475204468, 'web', 1), ('hugapi/hug', 0.5045132040977478, 'util', 2), ('replicate/replicate-python', 0.5043667554855347, 'ml', 0)]

708

5

null

8.79

385

315

125

0

8

24

8

381

1,111

90

2.9

68

381

llm

https://github.com/deepset-ai/haystack

['haystack']

null

[]

1

null

deepset-ai/haystack

haystack

12,318

1,539

121

Python

https://haystack.deepset.ai

:mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

deepset-ai

2024-01-14

2019-11-14

219

56.063719

https://avatars.githubusercontent.com/u/51827949?v=4

:mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

['ai', 'bert', 'chatgpt', 'generative-ai', 'gpt-3', 'information-retrieval', 'language-model', 'large-language-models', 'machine-learning', 'nlp', 'pytorch', 'question-answering', 'semantic-search', 'squad', 'summarization', 'transformers']

['ai', 'bert', 'chatgpt', 'generative-ai', 'gpt-3', 'haystack', 'information-retrieval', 'language-model', 'large-language-models', 'machine-learning', 'nlp', 'pytorch', 'question-answering', 'semantic-search', 'squad', 'summarization', 'transformers']

2024-01-12

[('pathwaycom/llm-app', 0.7468881607055664, 'llm', 1), ('llmware-ai/llmware', 0.6901717185974121, 'llm', 11), ('nomic-ai/gpt4all', 0.6876985430717468, 'llm', 1), ('embedchain/embedchain', 0.6720160841941833, 'llm', 2), ('rcgai/simplyretrieve', 0.67171311378479, 'llm', 4), ('paddlepaddle/paddlenlp', 0.6606729626655579, 'llm', 4), ('young-geng/easylm', 0.6550629734992981, 'llm', 2), ('cheshire-cat-ai/core', 0.6507551074028015, 'llm', 1), ('intel/intel-extension-for-transformers', 0.6430325508117676, 'perf', 0), ('night-chen/toolqa', 0.6367813944816589, 'llm', 2), ('neuml/txtai', 0.635899007320404, 'nlp', 7), ('microsoft/autogen', 0.6323454976081848, 'llm', 1), ('run-llama/rags', 0.6311088800430298, 'llm', 1), ('nebuly-ai/nebullvm', 0.6285997033119202, 'perf', 2), ('hwchase17/langchain', 0.6265890598297119, 'llm', 1), ('lm-sys/fastchat', 0.6203048825263977, 'llm', 1), ('bigscience-workshop/petals', 0.6126344203948975, 'data', 4), ('deep-diver/llm-as-chatbot', 0.6116864085197449, 'llm', 0), ('h2oai/h2o-llmstudio', 0.6111219525337219, 'llm', 3), ('microsoft/promptflow', 0.6076862812042236, 'llm', 2), ('zilliztech/gptcache', 0.6036768555641174, 'llm', 2), ('microsoft/semantic-kernel', 0.5954805016517639, 'llm', 1), ('explosion/spacy-llm', 0.5950032472610474, 'llm', 4), ('confident-ai/deepeval', 0.5944290161132812, 'testing', 2), ('agenta-ai/agenta', 0.5929967761039734, 'llm', 1), ('microsoft/generative-ai-for-beginners', 0.5903522372245789, 'study', 6), ('thilinarajapakse/simpletransformers', 0.5894189476966858, 'nlp', 2), ('dylanhogg/llmgraph', 0.5867999792098999, 'ml', 1), ('shishirpatil/gorilla', 0.5841556787490845, 'llm', 1), ('rasahq/rasa', 0.5835498571395874, 'llm', 2), ('intellabs/fastrag', 0.5783014297485352, 'nlp', 8), ('lucidrains/toolformer-pytorch', 0.5719588398933411, 'llm', 2), ('mooler0410/llmspracticalguide', 0.5716323256492615, 'study', 2), ('hiyouga/llama-efficient-tuning', 0.5705711841583252, 'llm', 4), ('hiyouga/llama-factory', 0.5705711245536804, 'llm', 4), ('deeppavlov/deeppavlov', 0.5695079565048218, 'nlp', 4), ('tigerlab-ai/tiger', 0.5681328773498535, 'llm', 1), ('argilla-io/argilla', 0.5678386688232422, 'nlp', 3), ('alpha-vllm/llama2-accessory', 0.5652121305465698, 'llm', 0), ('chatarena/chatarena', 0.563785970211029, 'llm', 3), ('iryna-kondr/scikit-llm', 0.5621213912963867, 'llm', 3), ('openlmlab/moss', 0.5615432262420654, 'llm', 3), ('microsoft/lmops', 0.5590223073959351, 'llm', 2), ('vllm-project/vllm', 0.5563030242919922, 'llm', 1), ('fasteval/fasteval', 0.5561326742172241, 'llm', 0), ('lancedb/lancedb', 0.5541740655899048, 'data', 1), ('superduperdb/superduperdb', 0.5523344278335571, 'data', 4), ('hegelai/prompttools', 0.5512160658836365, 'llm', 2), ('mindsdb/mindsdb', 0.5477265119552612, 'data', 3), ('microsoft/torchscale', 0.546305775642395, 'llm', 1), ('togethercomputer/openchatkit', 0.5454091429710388, 'nlp', 0), ('databrickslabs/dolly', 0.5437489151954651, 'llm', 0), ('bentoml/openllm', 0.543747067451477, 'ml-ops', 1), ('mnotgod96/appagent', 0.5397396087646484, 'llm', 2), ('aiwaves-cn/agents', 0.5381879806518555, 'nlp', 1), ('infinitylogesh/mutate', 0.5364488959312439, 'nlp', 1), ('nvidia/nemo', 0.5352417826652527, 'nlp', 2), ('gunthercox/chatterbot', 0.5347136855125427, 'nlp', 1), ('operand/agency', 0.5344579815864563, 'llm', 2), ('thudm/chatglm2-6b', 0.5324009656906128, 'llm', 1), ('mlc-ai/web-llm', 0.5301832556724548, 'llm', 2), ('ajndkr/lanarky', 0.5300788283348083, 'llm', 0), ('activeloopai/deeplake', 0.5295435786247253, 'ml-ops', 4), ('eleutherai/the-pile', 0.5290297269821167, 'data', 0), ('microsoft/jarvis', 0.5287731885910034, 'llm', 1), ('jina-ai/thinkgpt', 0.527265191078186, 'llm', 1), ('mmabrouk/chatgpt-wrapper', 0.525952935218811, 'llm', 2), ('salesforce/xgen', 0.525870144367218, 'llm', 3), ('ray-project/ray-llm', 0.5249264240264893, 'llm', 2), ('prefecthq/marvin', 0.524747908115387, 'nlp', 1), ('eugeneyan/open-llms', 0.5231071710586548, 'study', 1), ('alphasecio/langchain-examples', 0.5227251648902893, 'llm', 0), ('langchain-ai/langgraph', 0.5211980938911438, 'llm', 0), ('ludwig-ai/ludwig', 0.520433783531189, 'ml-ops', 2), ('jerryjliu/llama_index', 0.5174872279167175, 'llm', 1), ('whitead/paper-qa', 0.5140941143035889, 'llm', 3), ('larsbaunwall/bricky', 0.5118600130081177, 'llm', 2), ('ray-project/llm-applications', 0.5103896260261536, 'llm', 1), ('krohling/bondai', 0.5101301074028015, 'llm', 0), ('mlc-ai/mlc-llm', 0.508885383605957, 'llm', 1), ('eugeneyan/obsidian-copilot', 0.5081061124801636, 'llm', 2), ('next-gpt/next-gpt', 0.5068576335906982, 'llm', 2), ('bobazooba/xllm', 0.5065814852714539, 'llm', 3), ('cg123/mergekit', 0.5054006576538086, 'llm', 0), ('lupantech/chameleon-llm', 0.505305290222168, 'llm', 3), ('run-llama/llama-hub', 0.5051847100257874, 'data', 0), ('citadel-ai/langcheck', 0.5050056576728821, 'llm', 1)]

226

2

null

23.33

980

749

51

0

40

26

40

978

1,043

90

1.1

68

80

math

https://github.com/scipy/scipy

[]

null

[]

null

scipy/scipy

scipy

12,076

4,979

349

Python

https://scipy.org

SciPy library main repository

scipy

2024-01-13

2011-03-09

672

17.947346

https://avatars.githubusercontent.com/u/288277?v=4

SciPy library main repository

['algorithms', 'scientific-computing', 'scipy']

2024-01-14

[('numpy/numpy', 0.7627651691436768, 'math', 0), ('scikit-geometry/scikit-geometry', 0.6300176382064819, 'gis', 0), ('sympy/sympy', 0.6143859028816223, 'math', 0), ('roban/cosmolopy', 0.6138890385627747, 'sim', 0), ('dask/dask', 0.6020888686180115, 'perf', 1), ('cma-es/pycma', 0.5867729187011719, 'math', 0), ('scikit-learn/scikit-learn', 0.5719190835952759, 'ml', 0), ('scikit-hep/uproot5', 0.5634987354278564, 'data', 0), ('gbeced/pyalgotrade', 0.5615862011909485, 'finance', 0), ('fredrik-johansson/mpmath', 0.5546449422836304, 'math', 0), ('pysal/pysal', 0.5544923543930054, 'gis', 0), ('cupy/cupy', 0.5399492979049683, 'math', 1), ('scikit-optimize/scikit-optimize', 0.5384607911109924, 'ml', 1), ('pycaret/pycaret', 0.5348325967788696, 'ml', 0), ('jakevdp/pythondatasciencehandbook', 0.5299432873725891, 'study', 0), ('thealgorithms/python', 0.5260889530181885, 'study', 0), ('scikit-learn-contrib/metric-learn', 0.5236490368843079, 'ml', 0), ('pyston/pyston', 0.5205775499343872, 'util', 0), ('eleutherai/pyfra', 0.5191806554794312, 'ml', 0), ('pypy/pypy', 0.5184841156005859, 'util', 0), ('pytoolz/toolz', 0.5162753462791443, 'util', 0), ('mynameisfiber/high_performance_python_2e', 0.5127685070037842, 'study', 0), ('marcomusy/vedo', 0.5084977746009827, 'viz', 0), ('joblib/joblib', 0.508256196975708, 'util', 0), ('probml/pyprobml', 0.5070646405220032, 'ml', 0), ('life4/textdistance', 0.5068709850311279, 'nlp', 1), ('crflynn/stochastic', 0.5048527121543884, 'sim', 0), ('krzjoa/awesome-python-data-science', 0.5031641721725464, 'study', 0), ('pmorissette/ffn', 0.502606987953186, 'finance', 0), ('networkx/networkx', 0.5018213391304016, 'graph', 0), ('python/cpython', 0.500981867313385, 'util', 0), ('quantopian/zipline', 0.5005958080291748, 'finance', 0), ('rasbt/mlxtend', 0.5000782012939453, 'ml', 0)]

1,572

4

null

42.25

891

449

156

0

10

12

10

891

2,493

90

2.8

68

1,390

finance

https://github.com/ai4finance-foundation/fingpt

['language-model', 'llm']

null

[]

null

ai4finance-foundation/fingpt

FinGPT

10,239

2,162

209

Jupyter Notebook

https://discord.gg/trsr8SXpW5

Data-Centric FinGPT. Open-source for open finance! Revolutionize 🔥 We release the trained model on HuggingFace.

ai4finance-foundation

2024-01-14

2023-02-11

50

203.03966

https://avatars.githubusercontent.com/u/68813910?v=4

Data-Centric FinGPT. Open-source for open finance! Revolutionize 🔥 We release the trained model on HuggingFace.

['chatgpt', 'finance', 'fingpt', 'fintech', 'large-language-models', 'machine-learning', 'nlp', 'prompt-engineering', 'pytorch', 'reinforcement-learning', 'robo-advisor', 'sentiment-analysis', 'technical-analysis']

['chatgpt', 'finance', 'fingpt', 'fintech', 'language-model', 'large-language-models', 'llm', 'machine-learning', 'nlp', 'prompt-engineering', 'pytorch', 'reinforcement-learning', 'robo-advisor', 'sentiment-analysis', 'technical-analysis']

2023-12-26

[('chancefocus/pixiu', 0.7477177381515503, 'finance', 8), ('ai4finance-foundation/finrl', 0.6304659247398376, 'finance', 3), ('argilla-io/argilla', 0.5461266040802002, 'nlp', 3), ('doccano/doccano', 0.5407078862190247, 'nlp', 1), ('lianjiatech/belle', 0.5230826735496521, 'llm', 0), ('mindsdb/mindsdb', 0.5226989984512329, 'data', 2), ('ta-lib/ta-lib-python', 0.5139918327331543, 'finance', 2), ('xtekky/gpt4free', 0.5088690519332886, 'llm', 2), ('bobazooba/xllm', 0.5081082582473755, 'llm', 4), ('goldmansachs/gs-quant', 0.5048463344573975, 'finance', 0)]

27

8

null

10.44

51

27

11

1

0

51

55

90

1.1

68

200

ml

https://github.com/huggingface/accelerate

[]

null

[]

null

huggingface/accelerate

accelerate

6,340

710

95

Python

https://huggingface.co/docs/accelerate

🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision

huggingface

2024-01-14

2020-10-30

169

37.388374

https://avatars.githubusercontent.com/u/25720743?v=4

🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision

[]

2024-01-12

[('nvidia/apex', 0.7648141980171204, 'ml-dl', 0), ('pytorch/ignite', 0.6613282561302185, 'ml-dl', 0), ('intel/intel-extension-for-pytorch', 0.6329745650291443, 'perf', 0), ('skorch-dev/skorch', 0.6029394268989563, 'ml-dl', 0), ('pytorch/pytorch', 0.5829792022705078, 'ml-dl', 0), ('laekov/fastmoe', 0.5827643275260925, 'ml', 0), ('blackhc/toma', 0.5751364827156067, 'ml-dl', 0), ('mrdbourke/pytorch-deep-learning', 0.5736592411994934, 'study', 0), ('hysts/pytorch_image_classification', 0.5682789087295532, 'ml-dl', 0), ('eleutherai/gpt-neo', 0.5675502419471741, 'llm', 0), ('arogozhnikov/einops', 0.5633874535560608, 'ml-dl', 0), ('tensorflow/mesh', 0.5616391897201538, 'ml-dl', 0), ('pytorchlightning/pytorch-lightning', 0.5604153871536255, 'ml-dl', 0), ('pytorch/data', 0.5591470003128052, 'data', 0), ('nicolas-chaulet/torch-points3d', 0.5572007894515991, 'ml', 0), ('xl0/lovely-tensors', 0.557181715965271, 'ml-dl', 0), ('karpathy/mingpt', 0.5470962524414062, 'llm', 0), ('denys88/rl_games', 0.5460307002067566, 'ml-rl', 0), ('rentruewang/koila', 0.5446726083755493, 'ml', 0), ('cupy/cupy', 0.5428050756454468, 'math', 0), ('ashleve/lightning-hydra-template', 0.5420671105384827, 'util', 0), ('pytorch/captum', 0.5386924743652344, 'ml-interpretability', 0), ('nvidia/tensorrt-llm', 0.5342060923576355, 'viz', 0), ('salesforce/warp-drive', 0.5263185501098633, 'ml-rl', 0), ('rasbt/machine-learning-book', 0.5255182385444641, 'study', 0), ('karpathy/micrograd', 0.5209835767745972, 'study', 0), ('cvxgrp/pymde', 0.5172093510627747, 'ml', 0), ('rasbt/deeplearning-models', 0.5161780714988708, 'ml-dl', 0), ('nvidia/warp', 0.5148420333862305, 'sim', 0), ('pyg-team/pytorch_geometric', 0.514308750629425, 'ml-dl', 0), ('google/tf-quant-finance', 0.5086351633071899, 'finance', 0), ('timdettmers/bitsandbytes', 0.5063002705574036, 'util', 0), ('pytorch/rl', 0.5024619102478027, 'ml-rl', 0)]

209

5

null

11.67

394

338

39

0

17

13

17

394

1,100

90

2.8

68

1,751

llm

https://github.com/dsdanielpark/bard-api

[]

null

[]

null

dsdanielpark/bard-api

Bard-API

5,245

661

46

Python

https://pypi.org/project/bardapi/

The unofficial python package that returns response of Google Bard through cookie value.

dsdanielpark

2024-01-14

2023-05-11

37

139.07197

null

The unofficial python package that returns response of Google Bard through cookie value.

['ai-api', 'api', 'bard', 'bard-api', 'chatbot', 'google', 'google-bard', 'google-bard-api', 'google-bard-python', 'google-maps-api', 'googlebard', 'llm', 'nlp']

2024-01-14

[('googleapis/google-api-python-client', 0.6036682724952698, 'util', 0), ('psf/requests', 0.5480201244354248, 'web', 0), ('googleapis/python-speech', 0.5438737273216248, 'ml', 0), ('pndurette/gtts', 0.5274245738983154, 'util', 0)]

26

1

null

12.79

59

35

8

0

37

58

37

59

168

90

2.8

68

689

ml-dl

https://github.com/deepfakes/faceswap

[]

null

[]

null

deepfakes/faceswap

faceswap

48,131

12,869

1,526

Python

https://www.faceswap.dev

Deepfakes Software For All

deepfakes

2024-01-14

2017-12-19

319

150.880878

null

Deepfakes Software For All

['deep-face-swap', 'deep-learning', 'deep-neural-networks', 'deepface', 'deepfakes', 'deeplearning', 'face-swap', 'faceswap', 'fakeapp', 'machine-learning', 'myfakeapp', 'neural-nets', 'neural-networks', 'openfaceswap']

2024-01-12

[('iperov/deepfacelab', 0.8627434968948364, 'ml-dl', 12), ('huggingface/exporters', 0.5523707270622253, 'ml', 2), ('huggingface/transformers', 0.5490606427192688, 'nlp', 2), ('huggingface/huggingface_hub', 0.5489972233772278, 'ml', 2), ('explosion/thinc', 0.5478455424308777, 'ml-dl', 2), ('christoschristofidis/awesome-deep-learning', 0.5433439612388611, 'study', 2), ('rwightman/pytorch-image-models', 0.5423110127449036, 'ml-dl', 0), ('tencentarc/gfpgan', 0.5402413606643677, 'ml', 1), ('neuralmagic/sparseml', 0.5372126698493958, 'ml-dl', 0), ('fepegar/torchio', 0.5368450880050659, 'ml-dl', 2), ('keras-team/keras', 0.5320166945457458, 'ml-dl', 3), ('alpa-projects/alpa', 0.5312798619270325, 'ml-dl', 2), ('neuralmagic/deepsparse', 0.5284426212310791, 'nlp', 0), ('huggingface/autotrain-advanced', 0.5193936228752136, 'ml', 2), ('huggingface/datasets', 0.5192609429359436, 'nlp', 2), ('microsoft/onnxruntime', 0.5149832963943481, 'ml', 3), ('roboflow/supervision', 0.5128257274627686, 'ml', 2), ('nvidia/deeplearningexamples', 0.5123569965362549, 'ml-dl', 1), ('mosaicml/composer', 0.5090040564537048, 'ml-dl', 3), ('awslabs/autogluon', 0.5015328526496887, 'ml', 2), ('onnx/onnx', 0.5000324845314026, 'ml', 3)]

97

2

null

1.52

20

19

74

0

2

1

2

20

22

90

1.1

67

1,054

llm

https://github.com/moymix/taskmatrix

['chatgpt']

Connects ChatGPT and a series of Visual Foundation Models to enable sending and receiving images during chatting.

[]

null

moymix/taskmatrix

TaskMatrix

34,397

3,381

310

Python

null

moymix

2024-01-14

2023-03-02

47

720.89521

null

Connects ChatGPT and a series of Visual Foundation Models to enable sending and receiving images during chatting.

[]

['chatgpt']

2023-06-29

[('next-gpt/next-gpt', 0.5018583536148071, 'llm', 1)]

20

5

null

1.73

21

6

11

7

0

21

23

90

1.1

67

76

nlp

https://github.com/pytorch/fairseq

[]

null

[]

null

pytorch/fairseq

fairseq

28,464

6,285

417

Python

null

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

pytorch

2024-01-14

2017-08-29

335

84.967164

https://avatars.githubusercontent.com/u/16943930?v=4

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

['artificial-intelligence', 'pytorch']

2024-01-08

[('facebookresearch/mmf', 0.6375062465667725, 'ml-dl', 1), ('deepmind/deepmind-research', 0.5041647553443909, 'ml', 0)]

421

4

null

0.77

134

40

78

0

3

134

116

90

0.9

67

8

perf

https://github.com/celery/celery

[]

null

[]

null

celery/celery

celery

22,871

4,604

473

Python

https://docs.celeryq.dev

Distributed Task Queue (development branch)

celery

2024-01-13

2009-04-24

770

29.680571

https://avatars.githubusercontent.com/u/319983?v=4

Distributed Task Queue (development branch)

['amqp', 'queue-tasks', 'queue-workers', 'queued-jobs', 'redis', 'redis-queue', 'sqs', 'sqs-queue', 'task-manager', 'task-runner', 'task-scheduler']

2024-01-11

[('mher/flower', 0.6660754680633545, 'perf', 1), ('samuelcolvin/arq', 0.5360067486763, 'data', 1)]

1,327

6

null

6.65

278

167

179

0

8

16

8

280

513

90

1.8

67

1,121

llm

https://github.com/rasahq/rasa

[]

null

[]

['rasa']

null

rasahq/rasa

rasa

17,448

4,498

350

Python

https://rasa.com/docs/rasa/

💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

rasahq

2024-01-14

2016-10-14

380

45.846847

https://avatars.githubusercontent.com/u/21214473?v=4

💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

['bot', 'bot-framework', 'botkit', 'bots', 'chatbot', 'chatbots', 'chatbots-framework', 'conversation-driven-development', 'conversational-agents', 'conversational-ai', 'conversational-bots', 'machine-learning', 'machine-learning-library', 'mitie', 'natural-language-processing', 'nlp', 'nlu', 'rasa', 'spacy', 'wit']

2023-11-29

[('deeppavlov/deeppavlov', 0.7903884053230286, 'nlp', 4), ('nvidia/nemo', 0.7352750301361084, 'nlp', 1), ('krohling/bondai', 0.7222825288772583, 'llm', 0), ('embedchain/embedchain', 0.7189019322395325, 'llm', 1), ('gunthercox/chatterbot', 0.6935678720474243, 'nlp', 3), ('togethercomputer/openchatkit', 0.6932374835014343, 'nlp', 1), ('openlmlab/moss', 0.6797881126403809, 'llm', 1), ('lm-sys/fastchat', 0.6786299347877502, 'llm', 1), ('rcgai/simplyretrieve', 0.660693347454071, 'llm', 3), ('aiwaves-cn/agents', 0.6561240553855896, 'nlp', 0), ('nomic-ai/gpt4all', 0.6559364199638367, 'llm', 1), ('databrickslabs/dolly', 0.6492189168930054, 'llm', 1), ('nltk/nltk', 0.6307575106620789, 'nlp', 3), ('argilla-io/argilla', 0.6305766105651855, 'nlp', 3), ('cheshire-cat-ai/core', 0.6253566741943359, 'llm', 1), ('run-llama/rags', 0.6235318779945374, 'llm', 1), ('allenai/allennlp', 0.6140093207359314, 'nlp', 2), ('explosion/spacy', 0.6100810170173645, 'nlp', 4), ('keras-team/keras-nlp', 0.6086421012878418, 'nlp', 3), ('gunthercox/chatterbot-corpus', 0.6020722985267639, 'nlp', 0), ('prefecthq/marvin', 0.6008431315422058, 'nlp', 1), ('facebookresearch/parlai', 0.5971487164497375, 'nlp', 0), ('tensorflow/tensorflow', 0.5951974391937256, 'ml-dl', 1), ('larsbaunwall/bricky', 0.5906454920768738, 'llm', 0), ('google-research/language', 0.5900284051895142, 'nlp', 2), ('flairnlp/flair', 0.5888329744338989, 'nlp', 3), ('bigscience-workshop/promptsource', 0.5880197882652283, 'nlp', 3), ('mlflow/mlflow', 0.5874723792076111, 'ml-ops', 1), ('laion-ai/open-assistant', 0.5849403738975525, 'llm', 1), ('deepset-ai/haystack', 0.5835498571395874, 'llm', 2), ('doccano/doccano', 0.5829582214355469, 'nlp', 2), ('minimaxir/simpleaichat', 0.5821955800056458, 'llm', 0), ('thilinarajapakse/simpletransformers', 0.5802013874053955, 'nlp', 1), ('explosion/spacy-models', 0.5728164315223694, 'nlp', 4), ('fasteval/fasteval', 0.5695826411247253, 'llm', 0), ('kalliope-project/kalliope', 0.5666339993476868, 'util', 1), ('explosion/spacy-llm', 0.5661826729774475, 'llm', 4), ('pathwaycom/llm-app', 0.5657259821891785, 'llm', 2), ('blinkdl/chatrwkv', 0.5604526400566101, 'llm', 1), ('microsoft/autogen', 0.5599412322044373, 'llm', 1), ('llmware-ai/llmware', 0.5576108694076538, 'llm', 2), ('huggingface/transformers', 0.5568842887878418, 'nlp', 3), ('alibaba/easynlp', 0.5567002892494202, 'nlp', 2), ('paddlepaddle/paddlenlp', 0.556032121181488, 'llm', 1), ('microsoft/unilm', 0.5554572939872742, 'nlp', 1), ('lucidrains/toolformer-pytorch', 0.5501740574836731, 'llm', 0), ('openai/gpt-discord-bot', 0.5486682057380676, 'llm', 0), ('graykode/nlp-tutorial', 0.5484858155250549, 'study', 2), ('espnet/espnet', 0.5472486615180969, 'nlp', 0), ('infinitylogesh/mutate', 0.5458459258079529, 'nlp', 0), ('facebookresearch/mmf', 0.5447145104408264, 'ml-dl', 0), ('microsoft/generative-ai-for-beginners', 0.541526734828949, 'study', 0), ('dylanhogg/awesome-python', 0.536875307559967, 'study', 3), ('huggingface/datasets', 0.5359129905700684, 'nlp', 3), ('jbesomi/texthero', 0.5357376337051392, 'nlp', 2), ('nvidia/deeplearningexamples', 0.5313621163368225, 'ml-dl', 1), ('microsoft/lmops', 0.5303319096565247, 'llm', 1), ('norskregnesentral/skweak', 0.5265606641769409, 'nlp', 2), ('makcedward/nlpaug', 0.5259739756584167, 'nlp', 3), ('explosion/thinc', 0.5251515507698059, 'ml-dl', 5), ('xtekky/gpt4free', 0.523765504360199, 'llm', 2), ('killianlucas/open-interpreter', 0.523764431476593, 'llm', 0), ('mindsdb/mindsdb', 0.5234725475311279, 'data', 2), ('sloria/textblob', 0.5231644511222839, 'nlp', 2), ('nevronai/metisfl', 0.5226208567619324, 'ml', 1), ('speechbrain/speechbrain', 0.5202128291130066, 'nlp', 0), ('franck-dernoncourt/neuroner', 0.5182371735572815, 'nlp', 2), ('ddbourgin/numpy-ml', 0.5173048377037048, 'ml', 1), ('tigerlab-ai/tiger', 0.5164182186126709, 'llm', 0), ('merantix-momentum/squirrel-core', 0.5163630247116089, 'ml', 3), ('mlc-ai/web-llm', 0.5135403275489807, 'llm', 0), ('hwchase17/langchain', 0.5109175443649292, 'llm', 1), ('nebuly-ai/nebullvm', 0.5099035501480103, 'perf', 0), ('microsoft/nni', 0.5092196464538574, 'ml', 1), ('young-geng/easylm', 0.5090000033378601, 'llm', 2), ('langchain-ai/chat-langchain', 0.5066604614257812, 'llm', 0), ('mlc-ai/mlc-llm', 0.50617915391922, 'llm', 0), ('chatarena/chatarena', 0.5054959058761597, 'llm', 1), ('deepset-ai/farm', 0.505393922328949, 'nlp', 1), ('gradio-app/gradio', 0.5041884183883667, 'viz', 1), ('googlecloudplatform/vertex-ai-samples', 0.5028780102729797, 'ml', 0), ('pemistahl/lingua-py', 0.5019610524177551, 'nlp', 2), ('m-bain/whisperx', 0.5019509792327881, 'nlp', 0), ('uberi/speech_recognition', 0.5011873245239258, 'ml', 0)]

592

5

null

29.4

138

109

88

2

70

93

70

138

103

90

0.7

67

1,780

web

https://github.com/wagtail/wagtail

[]

null

[]

null

wagtail/wagtail

wagtail

16,554

3,542

341

Python

https://wagtail.org

A Django content management system focused on flexibility and user experience

wagtail

2024-01-14

2014-02-03

521

31.764803

https://avatars.githubusercontent.com/u/23708009?v=4

A Django content management system focused on flexibility and user experience

['cms', 'django', 'wagtail']

2024-01-11

[('feincms/feincms', 0.7559544444084167, 'web', 1), ('stephenmcd/mezzanine', 0.7118169665336609, 'web', 2), ('django/django', 0.5955774188041687, 'web', 1), ('brettkromkamp/contextualise', 0.5667254328727722, 'data', 0), ('pallets/flask', 0.5286979675292969, 'web', 0), ('fastapi-admin/fastapi-admin', 0.5146538019180298, 'web', 0), ('indico/indico', 0.5091932415962219, 'web', 0), ('piccolo-orm/piccolo_admin', 0.5042932033538818, 'data', 1)]

880

3

null

40.79

622

368

121

4

30

24

30

623

1,539

90

2.5

67

1,510

llm

https://github.com/facebookresearch/codellama

['llama', 'language-model']

null

[]

null

facebookresearch/codellama

codellama

11,969

1,192

125

Python

null

Inference code for CodeLlama models

facebookresearch

2024-01-14

2023-08-24

22

526.937107

https://avatars.githubusercontent.com/u/16943930?v=4

Inference code for CodeLlama models

[]

['language-model', 'llama']

2023-09-26

[('facebookresearch/llama', 0.8860641121864319, 'llm', 2), ('karpathy/llama2.c', 0.7492680549621582, 'llm', 2), ('facebookresearch/llama-recipes', 0.6740383505821228, 'llm', 2), ('microsoft/llama-2-onnx', 0.6238771080970764, 'llm', 2), ('tairov/llama2.mojo', 0.599827229976654, 'llm', 1), ('jzhang38/tinyllama', 0.5828747749328613, 'llm', 2), ('abetlen/llama-cpp-python', 0.5786312222480774, 'llm', 2), ('openai/gpt-2', 0.550112247467041, 'llm', 0), ('juncongmoo/pyllama', 0.5494055151939392, 'llm', 0), ('lightning-ai/lit-llama', 0.5444297790527344, 'llm', 2), ('tloen/alpaca-lora', 0.5405111908912659, 'llm', 2), ('openlm-research/open_llama', 0.5370882153511047, 'llm', 2), ('salesforce/codet5', 0.5207399725914001, 'nlp', 1), ('cg123/mergekit', 0.51674485206604, 'llm', 1), ('cstankonrad/long_llama', 0.5162266492843628, 'llm', 2), ('hazyresearch/h3', 0.513182520866394, 'llm', 0), ('mshumer/gpt-llm-trainer', 0.509406328201294, 'llm', 0), ('freedomintelligence/llmzoo', 0.508786141872406, 'llm', 1), ('sjtu-ipads/powerinfer', 0.5052860975265503, 'llm', 1), ('bigcode-project/starcoder', 0.5031982064247131, 'llm', 0), ('hao-ai-lab/lookaheaddecoding', 0.5007719397544861, 'llm', 0)]

11

6

null

0.27

58

19

5

4

0

58

69

90

1.2

67

72

testing

https://github.com/pytest-dev/pytest

[]

null

[]

null

pytest-dev/pytest

pytest

10,981

2,471

192

Python

https://pytest.org

The pytest framework makes it easy to write small tests, yet scales to support complex functional testing

pytest-dev

2024-01-13

2015-06-15

450

24.394478

https://avatars.githubusercontent.com/u/8897583?v=4

The pytest framework makes it easy to write small tests, yet scales to support complex functional testing

['test', 'testing', 'unit-testing']

2024-01-14

[('ionelmc/pytest-benchmark', 0.6786613464355469, 'testing', 0), ('samuelcolvin/dirty-equals', 0.6580618023872375, 'util', 1), ('pytest-dev/pytest-xdist', 0.6530086994171143, 'testing', 0), ('pytest-dev/pytest-mock', 0.6347528100013733, 'testing', 0), ('samuelcolvin/pytest-pretty', 0.5827073454856873, 'testing', 0), ('wolever/parameterized', 0.5712449550628662, 'testing', 0), ('pytest-dev/pytest-asyncio', 0.5557228922843933, 'testing', 1), ('pytest-dev/pytest-testinfra', 0.5438085794448853, 'testing', 1), ('teemu/pytest-sugar', 0.5432929992675781, 'testing', 1), ('pytest-dev/pytest-cov', 0.5345095992088318, 'testing', 0), ('taverntesting/tavern', 0.5295860767364502, 'testing', 1), ('locustio/locust', 0.5194878578186035, 'testing', 0), ('computationalmodelling/nbval', 0.5131306648254395, 'jupyter', 1), ('pmorissette/bt', 0.5103425979614258, 'finance', 0), ('hypothesisworks/hypothesis', 0.505795955657959, 'testing', 1)]

934

5

null

13.98

384

265

104

0

10

23

10

384

745

90

1.9

67

1,654

util

https://github.com/pyo3/pyo3

['rust']

null

[]

null

pyo3/pyo3

pyo3

10,178

669

84

Rust

https://pyo3.rs

Rust bindings for the Python interpreter

pyo3

2024-01-14

2017-05-13

350

29.044435

https://avatars.githubusercontent.com/u/28156855?v=4

Rust bindings for the Python interpreter

['binding', 'ffi', 'python-c-api', 'rust']

2024-01-13

[('pyo3/rust-numpy', 0.6885672211647034, 'util', 1), ('pyo3/maturin', 0.6540318131446838, 'util', 1), ('rustpython/rustpython', 0.6475306749343872, 'util', 1), ('delta-io/delta-rs', 0.5582752227783203, 'pandas', 1), ('pybind/pybind11', 0.5454217791557312, 'perf', 0), ('samuelcolvin/rtoml', 0.5289204716682434, 'data', 1)]

301

5

null

10.88

229

174

81

0

10

12

10

228

662

90

2.9

67

534

nlp

https://github.com/nvidia/nemo

[]

null

[]

null

nvidia/nemo

NeMo

8,946

1,977

180

Python

https://nvidia.github.io/NeMo/

NeMo: a toolkit for conversational AI

nvidia

2024-01-14

2019-08-05

234

38.207444

https://avatars.githubusercontent.com/u/1728152?v=4

NeMo: a toolkit for conversational AI

['asr', 'deep-learning', 'language-model', 'machine-translation', 'neural-network', 'nlp', 'nlp-machine-learning', 'nmt', 'speaker-diarization', 'speaker-recognition', 'speech-recognition', 'speech-synthesis', 'speech-to-text', 'text-normalization', 'text-to-speech', 'tts']

2024-01-13

[('deeppavlov/deeppavlov', 0.7471092939376831, 'nlp', 3), ('rasahq/rasa', 0.7352750301361084, 'llm', 1), ('krohling/bondai', 0.7121801972389221, 'llm', 0), ('facebookresearch/parlai', 0.6826277375221252, 'nlp', 0), ('thilinarajapakse/simpletransformers', 0.6740487813949585, 'nlp', 0), ('openlmlab/moss', 0.640605628490448, 'llm', 2), ('espnet/espnet', 0.63554447889328, 'nlp', 5), ('speechbrain/speechbrain', 0.6236434578895569, 'nlp', 7), ('rcgai/simplyretrieve', 0.6101846098899841, 'llm', 1), ('gunthercox/chatterbot', 0.5878262519836426, 'nlp', 0), ('databrickslabs/dolly', 0.5758463144302368, 'llm', 0), ('cheshire-cat-ai/core', 0.5682287216186523, 'llm', 0), ('lm-sys/fastchat', 0.5640174150466919, 'llm', 1), ('embedchain/embedchain', 0.5636201500892639, 'llm', 0), ('gunthercox/chatterbot-corpus', 0.5635098218917847, 'nlp', 0), ('prefecthq/marvin', 0.560585081577301, 'nlp', 0), ('keras-team/keras-nlp', 0.5545443892478943, 'nlp', 2), ('huggingface/transformers', 0.5480668544769287, 'nlp', 4), ('fasteval/fasteval', 0.5468846559524536, 'llm', 0), ('minimaxir/aitextgen', 0.5452271699905396, 'llm', 0), ('minimaxir/simpleaichat', 0.5450947284698486, 'llm', 0), ('explosion/spacy', 0.541452169418335, 'nlp', 3), ('alirezadir/machine-learning-interview-enlightener', 0.5406086444854736, 'study', 1), ('m-bain/whisperx', 0.5402535796165466, 'nlp', 3), ('togethercomputer/openchatkit', 0.5391964912414551, 'nlp', 0), ('allenai/allennlp', 0.5374099016189575, 'nlp', 2), ('deepset-ai/haystack', 0.5352417826652527, 'llm', 2), ('alibaba/easynlp', 0.527443528175354, 'nlp', 2), ('chatarena/chatarena', 0.5267899036407471, 'llm', 0), ('nvidia/deeplearningexamples', 0.5229525566101074, 'ml-dl', 4), ('facebookresearch/mmf', 0.5225995779037476, 'ml-dl', 1), ('microsoft/generative-ai-for-beginners', 0.5218424201011658, 'study', 1), ('nltk/nltk', 0.5199841260910034, 'nlp', 1), ('blinkdl/chatrwkv', 0.5173482894897461, 'llm', 1), ('graykode/nlp-tutorial', 0.5165086388587952, 'study', 1), ('facebookresearch/seamless_communication', 0.5158795714378357, 'nlp', 2), ('gventuri/pandas-ai', 0.513568639755249, 'pandas', 0), ('microsoft/lmops', 0.5125614404678345, 'llm', 2), ('bentoml/bentoml', 0.5116295218467712, 'ml-ops', 1), ('lucidrains/toolformer-pytorch', 0.5109055042266846, 'llm', 2), ('ddbourgin/numpy-ml', 0.5102659463882446, 'ml', 0), ('nomic-ai/gpt4all', 0.5101531744003296, 'llm', 1), ('explosion/thinc', 0.5100991129875183, 'ml-dl', 2), ('franck-dernoncourt/neuroner', 0.5075932145118713, 'nlp', 2), ('llmware-ai/llmware', 0.503142237663269, 'llm', 1), ('minimaxir/textgenrnn', 0.5010759234428406, 'nlp', 1)]

270

2

null

18.33

527

432

54

0

10

11

10

526

1,411

90

2.7

67

1,162

web

https://github.com/flet-dev/flet

[]

null

[]

null

flet-dev/flet

flet

7,928

303

110

Python

https://flet.dev

Flet enables developers to easily build realtime web, mobile and desktop apps in Python. No frontend experience required.

flet-dev

2024-01-14

2022-03-24

96

81.973412

https://avatars.githubusercontent.com/u/102273996?v=4

Flet enables developers to easily build realtime web, mobile and desktop apps in Python. No frontend experience required.

['android', 'flutter', 'ios', 'server-driven-ui', 'web']

2024-01-12

[('pallets/flask', 0.6681143045425415, 'web', 0), ('willmcgugan/textual', 0.6341605186462402, 'term', 0), ('reflex-dev/reflex', 0.612991988658905, 'web', 0), ('kivy/kivy', 0.6066066026687622, 'util', 2), ('python-restx/flask-restx', 0.6032120585441589, 'web', 0), ('r0x0r/pywebview', 0.5987342000007629, 'gui', 0), ('klen/muffin', 0.5684182643890381, 'web', 0), ('pallets/quart', 0.5679628252983093, 'web', 0), ('webpy/webpy', 0.5566127896308899, 'web', 0), ('bottlepy/bottle', 0.5521423816680908, 'web', 0), ('plotly/dash', 0.5519179105758667, 'viz', 0), ('falconry/falcon', 0.5503961443901062, 'web', 1), ('huge-success/sanic', 0.5318177342414856, 'web', 1), ('masoniteframework/masonite', 0.5303350687026978, 'web', 1), ('starlite-api/starlite', 0.5249883532524109, 'web', 0), ('tiangolo/fastapi', 0.5213461518287659, 'web', 1), ('vitalik/django-ninja', 0.5206228494644165, 'web', 0), ('alphasecio/langchain-examples', 0.5201708078384399, 'llm', 0), ('pallets/werkzeug', 0.5143693089485168, 'web', 0), ('timofurrer/awesome-asyncio', 0.5139799118041992, 'study', 0), ('hoffstadt/dearpygui', 0.5117893815040588, 'gui', 0), ('neoteroi/blacksheep', 0.5072730183601379, 'web', 1), ('pyinfra-dev/pyinfra', 0.5072339773178101, 'util', 0), ('tiangolo/full-stack-fastapi-postgresql', 0.5064703822135925, 'template', 0), ('holoviz/panel', 0.5036301016807556, 'viz', 0)]

47

3

null

4.54

399

254

22

0

34

60

34

400

677

90

1.7

67

1,290

llm

https://github.com/optimalscale/lmflow

['instruction-following', 'language-model']

null

[]

null

optimalscale/lmflow

LMFlow

7,551

1,077

72

Python

https://optimalscale.github.io/LMFlow/

An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

optimalscale

2024-01-13

2023-03-27

44

171.058252

https://avatars.githubusercontent.com/u/128913633?v=4

An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

['chatgpt', 'deep-learning', 'instruction-following', 'language-model', 'pretrained-models', 'pytorch', 'transformer']

2023-12-02

[('juncongmoo/pyllama', 0.6721161007881165, 'llm', 0), ('guardrails-ai/guardrails', 0.6163129210472107, 'llm', 0), ('tatsu-lab/stanford_alpaca', 0.6111303567886353, 'llm', 3), ('huggingface/text-generation-inference', 0.6065784692764282, 'llm', 3), ('hpcaitech/energonai', 0.6059041619300842, 'ml', 0), ('next-gpt/next-gpt', 0.5973320603370667, 'llm', 1), ('lianjiatech/belle', 0.5924107432365417, 'llm', 0), ('nvidia/deeplearningexamples', 0.5852581858634949, 'ml-dl', 2), ('huggingface/datasets', 0.578310489654541, 'nlp', 2), ('hannibal046/awesome-llm', 0.5771458745002747, 'study', 1), ('cg123/mergekit', 0.5650473237037659, 'llm', 0), ('hiyouga/llama-efficient-tuning', 0.5642813444137573, 'llm', 1), ('hiyouga/llama-factory', 0.5642813444137573, 'llm', 1), ('huggingface/transformers', 0.5635979771614075, 'nlp', 5), ('ctlllll/llm-toolmaker', 0.5597103238105774, 'llm', 1), ('openbmb/toolbench', 0.5591222643852234, 'llm', 0), ('rafiqhasan/auto-tensorflow', 0.5579131841659546, 'ml-dl', 0), ('microsoft/torchscale', 0.5554569959640503, 'llm', 1), ('young-geng/easylm', 0.5390665531158447, 'llm', 3), ('microsoft/unilm', 0.5366694331169128, 'nlp', 0), ('microsoft/autogen', 0.5350280404090881, 'llm', 1), ('databrickslabs/dolly', 0.5335168242454529, 'llm', 0), ('vllm-project/vllm', 0.5301596522331238, 'llm', 2), ('guidance-ai/guidance', 0.5283278226852417, 'llm', 2), ('bobazooba/xllm', 0.5273640751838684, 'llm', 3), ('ai21labs/lm-evaluation', 0.5266632437705994, 'llm', 1), ('lm-sys/fastchat', 0.5264976620674133, 'llm', 1), ('infinitylogesh/mutate', 0.524427056312561, 'nlp', 1), ('pytorch/ignite', 0.5235216617584229, 'ml-dl', 2), ('squeezeailab/squeezellm', 0.5209859609603882, 'llm', 1), ('llmware-ai/llmware', 0.5209429264068604, 'llm', 1), ('yizhongw/self-instruct', 0.5196613073348999, 'llm', 1), ('sjtu-ipads/powerinfer', 0.5180608034133911, 'llm', 0), ('allenai/allennlp', 0.5176029801368713, 'nlp', 2), ('nvidia/tensorrt-llm', 0.5172522068023682, 'viz', 1), ('huawei-noah/pretrained-language-model', 0.5153259038925171, 'nlp', 1), ('jonasgeiping/cramming', 0.514919102191925, 'nlp', 1), ('keras-team/keras-nlp', 0.5128912329673767, 'nlp', 1), ('iryna-kondr/scikit-llm', 0.5123019814491272, 'llm', 2), ('reasoning-machines/pal', 0.5115619897842407, 'llm', 1), ('lupantech/chameleon-llm', 0.509954571723938, 'llm', 2), ('ggerganov/ggml', 0.5078336596488953, 'ml', 0), ('koaning/scikit-lego', 0.5066888928413391, 'ml', 0), ('eleutherai/the-pile', 0.5063433647155762, 'data', 0), ('salesforce/blip', 0.5060290694236755, 'diffusion', 0), ('mrdbourke/pytorch-deep-learning', 0.503092348575592, 'study', 2), ('tensorflow/tensor2tensor', 0.5030723810195923, 'ml', 1), ('unstructured-io/unstructured-inference', 0.5030722618103027, 'data', 0), ('ludwig-ai/ludwig', 0.5029340386390686, 'ml-ops', 2), ('togethercomputer/redpajama-data', 0.5022752285003662, 'llm', 0), ('d2l-ai/d2l-en', 0.5011979341506958, 'study', 2), ('artidoro/qlora', 0.5009582042694092, 'llm', 1), ('stanfordnlp/dspy', 0.5005626082420349, 'llm', 0), ('titanml/takeoff', 0.5003492832183838, 'llm', 1)]

38

3

null

14.75

43

29

10

1

3

6

3

43

48

90

1.1

67

1,166

llm

https://github.com/lvwerra/trl

[]

null

[]

null

lvwerra/trl

trl

7,051

803

67

Python

http://hf.co/docs/trl

Train transformer language models with reinforcement learning.

lvwerra

2024-01-14

2020-03-27

200

35.154558

https://avatars.githubusercontent.com/u/25720743?v=4

Train transformer language models with reinforcement learning.

[]

2024-01-12

[('bigscience-workshop/megatron-deepspeed', 0.6662755608558655, 'llm', 0), ('microsoft/megatron-deepspeed', 0.6662755608558655, 'llm', 0), ('kzl/decision-transformer', 0.5943164229393005, 'ml-rl', 0), ('huggingface/transformers', 0.5739136338233948, 'nlp', 0), ('eleutherai/knowledge-neurons', 0.5679098963737488, 'ml-interpretability', 0), ('thilinarajapakse/simpletransformers', 0.5451595783233643, 'nlp', 0), ('hazyresearch/h3', 0.5428241491317749, 'llm', 0), ('nvidia/megatron-lm', 0.5321753025054932, 'llm', 0), ('jonasgeiping/cramming', 0.5296485424041748, 'nlp', 0), ('facebookresearch/shepherd', 0.5294312834739685, 'llm', 0), ('huggingface/text-generation-inference', 0.523781955242157, 'llm', 0), ('nvlabs/prismer', 0.509940505027771, 'diffusion', 0), ('deepset-ai/farm', 0.5094181299209595, 'nlp', 0), ('ai21labs/lm-evaluation', 0.5060834288597107, 'llm', 0), ('ctlllll/llm-toolmaker', 0.5007656812667847, 'llm', 0), ('mit-han-lab/streaming-llm', 0.5007056593894958, 'llm', 0)]

133

5

null

8.81

452

370

46

0

24

6

24

452

1,328

90

2.9

67

1,638

llm

https://github.com/mistralai/mistral-src

[]

null

[]

null

mistralai/mistral-src

mistral-src

6,753

509

81

Jupyter Notebook

https://mistral.ai/

Reference implementation of Mistral AI 7B v0.1 model.

mistralai

2024-01-14

2023-09-27

17

378.168

https://avatars.githubusercontent.com/u/132372032?v=4

Reference implementation of Mistral AI 7B v0.1 model.

['llm', 'llm-inference', 'mistralai']

2023-12-13

[]

13

6

null

0.62

86

21

4

1

0

86

70

90

0.8

67

1,826

llm

https://github.com/langchain-ai/opengpts

['assistant', 'api']

An open source effort to create a similar experience to OpenAI's GPTs and Assistants API.

[]

null

langchain-ai/opengpts

opengpts

5,104

584

54

Rich Text Format

null

langchain-ai

2024-01-13

2023-11-04

12

410.666667

https://avatars.githubusercontent.com/u/126733545?v=4

An open source effort to create a similar experience to OpenAI's GPTs and Assistants API.

[]

['api', 'assistant']

2024-01-02

[('openai/openai-cookbook', 0.7003576159477234, 'ml', 0), ('openai/openai-python', 0.6509252190589905, 'util', 0), ('shishirpatil/gorilla', 0.6241956353187561, 'llm', 1), ('xtekky/gpt4free', 0.5756799578666687, 'llm', 0), ('fastai/ghapi', 0.5734665393829346, 'util', 0), ('minimaxir/gpt-2-simple', 0.5654781460762024, 'llm', 0), ('laion-ai/open-assistant', 0.5428431034088135, 'llm', 1), ('linksoul-ai/autoagents', 0.5377379655838013, 'llm', 0), ('run-llama/rags', 0.5282418131828308, 'llm', 0), ('opengenerativeai/genossgpt', 0.5244327783584595, 'llm', 1), ('vitalik/django-ninja', 0.5144355297088623, 'web', 0), ('torantulino/auto-gpt', 0.5114303231239319, 'llm', 0), ('assafelovic/gpt-researcher', 0.511093020439148, 'llm', 0), ('openai/tiktoken', 0.5110874176025391, 'nlp', 0), ('prefecthq/marvin', 0.507490336894989, 'nlp', 0), ('lucidrains/toolformer-pytorch', 0.5033729672431946, 'llm', 0)]

5

2

null

1.77

127

71

2

0

127

178

90

1.4

67

1,396

llm

https://github.com/lightning-ai/lit-gpt

['fine-tuning', 'quantization', 'nanogpt']

null

[]

1

null

lightning-ai/lit-gpt

lit-gpt

4,759

485

60

Python

null

Hackable implementation of state-of-the-art open-source LLMs based on nanoGPT. Supports flash attention, 4-bit and 8-bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.

lightning-ai

2024-01-13

2023-05-04

38

122.926199

https://avatars.githubusercontent.com/u/58386951?v=4

Hackable implementation of state-of-the-art open-source LLMs based on nanoGPT. Supports flash attention, 4-bit and 8-bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.

[]

['fine-tuning', 'nanogpt', 'quantization']

2024-01-12

[('lightning-ai/lit-llama', 0.721184253692627, 'llm', 1), ('alpha-vllm/llama2-accessory', 0.6060934066772461, 'llm', 1), ('intel/intel-extension-for-transformers', 0.5745608806610107, 'perf', 0), ('vllm-project/vllm', 0.5720106959342957, 'llm', 0), ('microsoft/llmlingua', 0.5566024780273438, 'llm', 0), ('run-llama/llama-hub', 0.5486422181129456, 'data', 0), ('opengvlab/omniquant', 0.5481755137443542, 'llm', 1), ('h2oai/h2o-llmstudio', 0.5436835289001465, 'llm', 1), ('bentoml/openllm', 0.5373291373252869, 'ml-ops', 1), ('bigscience-workshop/petals', 0.5297286510467529, 'data', 0), ('artidoro/qlora', 0.5197663903236389, 'llm', 0), ('tigerlab-ai/tiger', 0.5195765495300293, 'llm', 1), ('bobazooba/xllm', 0.5175870656967163, 'llm', 0), ('microsoft/semantic-kernel', 0.5075657367706299, 'llm', 0), ('iryna-kondr/scikit-llm', 0.5048611164093018, 'llm', 0), ('predibase/lorax', 0.5018265247344971, 'llm', 1), ('eugeneyan/open-llms', 0.501139223575592, 'study', 0)]

54

6

null

12.56

338

238

8

0

337

441

90

1.3

67

1,337

nlp

https://github.com/prefecthq/marvin

[]

null

[]

null

prefecthq/marvin

marvin

4,193

412

36

Python

https://askmarvin.ai

✨ Build AI interfaces that spark joy

prefecthq

2024-01-14

2023-03-10

46

90.033742

https://avatars.githubusercontent.com/u/39270919?v=4

✨ Build AI interfaces that spark joy

['agents', 'ai', 'ai-functions', 'ambient-ai', 'chatbots', 'gpt', 'llm', 'nli', 'openai']

2024-01-13

[('antonosika/gpt-engineer', 0.7385191917419434, 'llm', 2), ('cheshire-cat-ai/core', 0.7232251167297363, 'llm', 2), ('mindsdb/mindsdb', 0.7208438515663147, 'data', 3), ('embedchain/embedchain', 0.6899540424346924, 'llm', 3), ('lastmile-ai/aiconfig', 0.6677407622337341, 'util', 2), ('krohling/bondai', 0.6641014814376831, 'llm', 1), ('microsoft/promptflow', 0.6454984545707703, 'llm', 3), ('microsoft/lmops', 0.6434080600738525, 'llm', 2), ('chatarena/chatarena', 0.6427308917045593, 'llm', 1), ('microsoft/generative-ai-for-beginners', 0.6387981176376343, 'study', 3), ('smol-ai/developer', 0.6331506967544556, 'llm', 1), ('transformeroptimus/superagi', 0.6271318197250366, 'llm', 4), ('operand/agency', 0.6231884956359863, 'llm', 3), ('sweepai/sweep', 0.6178321838378906, 'llm', 2), ('run-llama/rags', 0.6145691275596619, 'llm', 2), ('mlc-ai/mlc-llm', 0.6106210350990295, 'llm', 1), ('minimaxir/simpleaichat', 0.6048039197921753, 'llm', 1), ('rasahq/rasa', 0.6008431315422058, 'llm', 1), ('pathwaycom/llm-app', 0.5963694453239441, 'llm', 1), ('bentoml/bentoml', 0.591640830039978, 'ml-ops', 1), ('thilinarajapakse/simpletransformers', 0.5893362760543823, 'nlp', 0), ('oegedijk/explainerdashboard', 0.584237813949585, 'ml-interpretability', 0), ('microsoft/semantic-kernel', 0.583898663520813, 'llm', 3), ('facebookresearch/habitat-lab', 0.5811783671379089, 'sim', 1), ('rcgai/simplyretrieve', 0.5794979929924011, 'llm', 0), ('larsbaunwall/bricky', 0.577139675617218, 'llm', 2), ('pytorchlightning/pytorch-lightning', 0.5638337135314941, 'ml-dl', 1), ('deeppavlov/deeppavlov', 0.5636438131332397, 'nlp', 1), ('togethercomputer/openchatkit', 0.5622385144233704, 'nlp', 0), ('humanoidagents/humanoidagents', 0.5612106919288635, 'sim', 1), ('nvidia/nemo', 0.560585081577301, 'nlp', 0), ('microsoft/autogen', 0.5600186586380005, 'llm', 1), ('lupantech/chameleon-llm', 0.5581182837486267, 'llm', 3), ('jina-ai/jina', 0.5576962828636169, 'ml', 0), ('modularml/mojo', 0.5523964166641235, 'util', 1), ('nomic-ai/gpt4all', 0.5499098896980286, 'llm', 0), ('google/dopamine', 0.547942042350769, 'ml-rl', 1), ('torantulino/auto-gpt', 0.5470284223556519, 'llm', 2), ('googlecloudplatform/vertex-ai-samples', 0.5464761853218079, 'ml', 1), ('lucidrains/toolformer-pytorch', 0.5462851524353027, 'llm', 0), ('oliveirabruno01/babyagi-asi', 0.5443987846374512, 'llm', 1), ('aimhubio/aim', 0.541201114654541, 'ml-ops', 1), ('unity-technologies/ml-agents', 0.5411503911018372, 'ml-rl', 0), ('lm-sys/fastchat', 0.5400978922843933, 'llm', 0), ('avaiga/taipy', 0.5397293567657471, 'data', 0), ('xtekky/gpt4free', 0.536582887172699, 'llm', 3), ('microsoft/chatgpt-robot-manipulation-prompts', 0.5360046029090881, 'llm', 0), ('mnotgod96/appagent', 0.5343064665794373, 'llm', 1), ('explosion/thinc', 0.5329232811927795, 'ml-dl', 1), ('oneil512/insight', 0.5314114093780518, 'ml', 3), ('pythagora-io/gpt-pilot', 0.5274754762649536, 'llm', 1), ('deepset-ai/haystack', 0.524747908115387, 'llm', 1), ('killianlucas/open-interpreter', 0.5231456756591797, 'llm', 0), ('microsoft/promptcraft-robotics', 0.5221617817878723, 'sim', 1), ('kitao/pyxel', 0.520916759967804, 'gamedev', 0), ('google-research/language', 0.5198028087615967, 'nlp', 0), ('activeloopai/deeplake', 0.5178278088569641, 'ml-ops', 2), ('minimaxir/aitextgen', 0.5176252126693726, 'llm', 0), ('hwchase17/langchain', 0.5155816078186035, 'llm', 0), ('luodian/otter', 0.5130387544631958, 'llm', 0), ('openai/openai-cookbook', 0.5121986269950867, 'ml', 1), ('intel/intel-extension-for-transformers', 0.5106049180030823, 'perf', 0), ('gventuri/pandas-ai', 0.5097314715385437, 'pandas', 2), ('mlflow/mlflow', 0.5080140233039856, 'ml-ops', 1), ('langchain-ai/opengpts', 0.507490336894989, 'llm', 0), ('eugeneyan/obsidian-copilot', 0.5069007277488708, 'llm', 1), ('aiwaves-cn/agents', 0.506673276424408, 'nlp', 1), ('guardrails-ai/guardrails', 0.5055996179580688, 'llm', 3), ('databrickslabs/dolly', 0.5005607008934021, 'llm', 1), ('noahshinn/reflexion', 0.5003121495246887, 'llm', 2)]

29

5

null

33.62

136

89

10

0

43

52

43

136

92

90

0.7

67

1,231

llm

https://github.com/karpathy/nanogpt

['nanogpt']

null

[]

null

karpathy/nanogpt

nanoGPT

28,200

4,040

320

Python

null

The simplest, fastest repository for training/finetuning medium-sized GPTs.

karpathy

2024-01-14

2022-12-28

56

495.979899

null

The simplest, fastest repository for training/finetuning medium-sized GPTs.

[]

['nanogpt']

2023-06-22

[('karpathy/mingpt', 0.5497898459434509, 'llm', 0), ('vision-cair/minigpt-4', 0.5487928986549377, 'llm', 0), ('farizrahman4u/loopgpt', 0.5409718155860901, 'llm', 0), ('openai/gpt-2-output-dataset', 0.5051628351211548, 'llm', 0), ('eleutherai/gpt-neo', 0.5039609670639038, 'llm', 0)]

31

3

null

1.44

53

14

13

7

0

52

43

90

0.8

66

408

perf

https://github.com/google/flatbuffers

[]

null

[]

null

google/flatbuffers

flatbuffers

21,620

3,213

641

C++

https://flatbuffers.dev/

FlatBuffers: Memory Efficient Serialization Library

google

2024-01-14

2014-05-19

506

42.715213

https://avatars.githubusercontent.com/u/1342004?v=4

FlatBuffers: Memory Efficient Serialization Library

['c', 'c-plus-plus', 'c-sharp', 'cross-platform', 'flatbuffers', 'go', 'grpc', 'java', 'javascript', 'json-parser', 'marshalling', 'mmap', 'protobuf', 'rpc', 'rust', 'serialization', 'serialization-library', 'typescript', 'zero-copy']

2023-12-19

[('yukinarit/pyserde', 0.6145598292350769, 'util', 1), ('pylons/colander', 0.5039762258529663, 'util', 1)]

670

5

null

3.85

184

102

118

1

6

4

6

184

252

90

1.4

66

188

ml-interpretability

https://github.com/slundberg/shap

[]

null

[]

null

slundberg/shap

shap

20,940

3,099

252

Jupyter Notebook

https://shap.readthedocs.io

A game theoretic approach to explain the output of any machine learning model.

slundberg

2024-01-14

2016-11-22

375

55.84

https://avatars.githubusercontent.com/u/60805229?v=4

A game theoretic approach to explain the output of any machine learning model.

['deep-learning', 'explainability', 'gradient-boosting', 'interpretability', 'machine-learning', 'shap', 'shapley']

2024-01-09

[('maif/shapash', 0.67304927110672, 'ml', 4), ('seldonio/alibi', 0.6683449745178223, 'ml-interpretability', 2), ('marcotcr/lime', 0.6387524604797363, 'ml-interpretability', 0), ('interpretml/interpret', 0.5977214574813843, 'ml-interpretability', 4), ('linkedin/fasttreeshap', 0.5951489806175232, 'ml', 3), ('xplainable/xplainable', 0.5842406153678894, 'ml-interpretability', 2), ('oegedijk/explainerdashboard', 0.5450636148452759, 'ml-interpretability', 1), ('csinva/imodels', 0.5444343090057373, 'ml', 2), ('mosaicml/composer', 0.5438055396080017, 'ml-dl', 2), ('unity-technologies/ml-agents', 0.5413389205932617, 'ml-rl', 2), ('pair-code/lit', 0.532273530960083, 'ml-interpretability', 1), ('ddbourgin/numpy-ml', 0.5084296464920044, 'ml', 2), ('tensorflow/lucid', 0.5016194581985474, 'ml-interpretability', 2)]

229

4

null

5.5

691

90

87

0

4

7

4

690

688

90

1

66

1,053

ml

https://github.com/microsoft/lightgbm

[]

null

[]

null

microsoft/lightgbm

LightGBM

15,787

3,793

437

C++

https://lightgbm.readthedocs.io/en/latest/

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

microsoft

2024-01-14

2016-08-05

390

40.420263

https://avatars.githubusercontent.com/u/6154722?v=4

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

['data-mining', 'decision-trees', 'distributed', 'gbdt', 'gbm', 'gbrt', 'gradient-boosting', 'kaggle', 'lightgbm', 'machine-learning', 'microsoft', 'parallel', 'r']

2024-01-12

[('dmlc/xgboost', 0.8464224338531494, 'ml', 4), ('catboost/catboost', 0.8396483659744263, 'ml', 8)]

295

5

null

4.75

338

259

91

0

3

5

3

339

598

90

1.8

66

1,440

llm

https://github.com/karpathy/llama2.c

['llama', 'language-model']

null

[]

null

karpathy/llama2.c

llama2.c

13,860

1,471

159

C

null

Inference Llama 2 in one file of pure C

karpathy

2024-01-14

2023-07-23

27

507.958115

null

Inference Llama 2 in one file of pure C

[]

['language-model', 'llama']

2023-10-09

[('facebookresearch/llama', 0.8788975477218628, 'llm', 2), ('tairov/llama2.mojo', 0.8035979270935059, 'llm', 1), ('facebookresearch/codellama', 0.7492680549621582, 'llm', 2), ('facebookresearch/llama-recipes', 0.7288556098937988, 'llm', 2), ('microsoft/llama-2-onnx', 0.6777373552322388, 'llm', 2), ('abetlen/llama-cpp-python', 0.6725909113883972, 'llm', 2), ('tloen/alpaca-lora', 0.5766897201538086, 'llm', 2), ('mshumer/gpt-llm-trainer', 0.5627032518386841, 'llm', 0), ('cg123/mergekit', 0.541799783706665, 'llm', 1), ('hao-ai-lab/lookaheaddecoding', 0.5412218570709229, 'llm', 0), ('openlm-research/open_llama', 0.5405749678611755, 'llm', 2), ('ggerganov/llama.cpp', 0.5367782711982727, 'llm', 2), ('jzhang38/tinyllama', 0.5350930094718933, 'llm', 2), ('juncongmoo/pyllama', 0.5219447016716003, 'llm', 0), ('run-llama/llama-lab', 0.5159832835197449, 'llm', 2), ('zrrskywalker/llama-adapter', 0.5048466920852661, 'llm', 2)]

81

1

null

6.5

74

11

6

3

0

74

51

90

0.7

66

123

ml-ops

https://github.com/iterative/dvc

[]

null

[]

null

iterative/dvc

dvc

12,755

1,141

137

Python

https://dvc.org

🦉 ML Experiments Management with Git

iterative

2024-01-13

2017-03-04

360

35.388426

https://avatars.githubusercontent.com/u/39572954?v=4

🦉 ML Experiments Management with Git

['ai', 'collaboration', 'data-science', 'data-version-control', 'developer-tools', 'git', 'machine-learning', 'reproducibility']

2024-01-12

[('netflix/metaflow', 0.6912345886230469, 'ml-ops', 3), ('allegroai/clearml', 0.618588924407959, 'ml-ops', 2), ('wandb/client', 0.6113179922103882, 'ml', 4), ('aimhubio/aim', 0.5769718885421753, 'ml-ops', 3), ('pythagora-io/gpt-pilot', 0.5759281516075134, 'llm', 2), ('sweepai/sweep', 0.5702275633811951, 'llm', 2), ('polyaxon/polyaxon', 0.5695563554763794, 'ml-ops', 2), ('bentoml/bentoml', 0.5435565710067749, 'ml-ops', 2), ('googlecloudplatform/vertex-ai-samples', 0.5397675633430481, 'ml', 2), ('mindsdb/mindsdb', 0.5321820974349976, 'data', 2), ('lastmile-ai/aiconfig', 0.522969663143158, 'util', 2), ('avaiga/taipy', 0.5210314989089966, 'data', 1), ('google-research/language', 0.5162245631217957, 'nlp', 1), ('microsoft/promptflow', 0.514451265335083, 'llm', 1), ('alirezadir/machine-learning-interview-enlightener', 0.5138351917266846, 'study', 2), ('google-research/google-research', 0.5124830603599548, 'ml', 2), ('feast-dev/feast', 0.5111587047576904, 'ml-ops', 2), ('determined-ai/determined', 0.5081852674484253, 'ml-ops', 2), ('ploomber/ploomber', 0.5037345886230469, 'ml-ops', 2), ('google/ml-metadata', 0.5009445548057556, 'ml-ops', 0), ('mlflow/mlflow', 0.5006384253501892, 'ml-ops', 2)]

290

2

null

15.94

347

271

84

0

101

76

101

347

751

90

2.2

66

514

typing

https://github.com/microsoft/pyright

['typechecker', 'code-quality']

null

[]

null

microsoft/pyright

pyright

11,459

1,267

113

Python

null

Static Type Checker for Python

microsoft

2024-01-14

2019-03-12

255

44.937255

https://avatars.githubusercontent.com/u/6154722?v=4

Static Type Checker for Python

[]

['code-quality', 'typechecker']

2024-01-14

[('agronholm/typeguard', 0.9137517213821411, 'typing', 2), ('python/mypy', 0.8244960904121399, 'typing', 2), ('google/pytype', 0.8127192258834839, 'typing', 2), ('facebook/pyre-check', 0.7650810480117798, 'typing', 2), ('instagram/monkeytype', 0.7293500900268555, 'typing', 1), ('python/typeshed', 0.6651108264923096, 'typing', 1), ('patrick-kidger/torchtyping', 0.5727251172065735, 'typing', 0), ('pycqa/mccabe', 0.5418702960014343, 'util', 0), ('jendrikseipp/vulture', 0.536612331867218, 'util', 1), ('rubik/radon', 0.533168375492096, 'util', 0), ('landscapeio/prospector', 0.5327200293540955, 'util', 0), ('google/yapf', 0.5311009287834167, 'util', 1), ('grantjenks/blue', 0.529589056968689, 'util', 1), ('pycqa/pycodestyle', 0.5176783204078674, 'util', 0), ('pycqa/pyflakes', 0.511178195476532, 'util', 0), ('pydantic/pydantic', 0.5103999376296997, 'util', 0), ('psf/black', 0.5090447068214417, 'util', 1)]

103

1

null

26.13

789

758

59

0

57

88

57

787

1,674

90

2.1

66

225

util

https://github.com/pyodide/pyodide

['cpython', 'wasm', 'emscripten', 'webassembly']

null

[]

null

pyodide/pyodide

pyodide

10,896

738

129

Python

https://pyodide.org/en/stable/

Pyodide is a Python distribution for the browser and Node.js based on WebAssembly

pyodide

2024-01-14

2018-02-23

309

35.197047

https://avatars.githubusercontent.com/u/77002075?v=4

Pyodide is a Python distribution for the browser and Node.js based on WebAssembly

['webassembly']

['cpython', 'emscripten', 'wasm', 'webassembly']

2024-01-13

[('pyodide/micropip', 0.7593028545379639, 'util', 1), ('webpy/webpy', 0.6373624205589294, 'web', 0), ('bottlepy/bottle', 0.6117225289344788, 'web', 0), ('cherrypy/cherrypy', 0.5807443857192993, 'web', 0), ('libtcod/python-tcod', 0.5775824785232544, 'gamedev', 0), ('pypy/pypy', 0.5725159645080566, 'util', 1), ('jupyterlite/jupyterlite', 0.5671476721763611, 'jupyter', 2), ('pallets/flask', 0.556867241859436, 'web', 0), ('masoniteframework/masonite', 0.5539262294769287, 'web', 0), ('seleniumbase/seleniumbase', 0.540057897567749, 'testing', 0), ('pylons/pyramid', 0.5352792739868164, 'web', 0), ('reactive-python/reactpy', 0.5306482911109924, 'web', 0), ('scrapy/scrapy', 0.5298803448677063, 'data', 0), ('r0x0r/pywebview', 0.5263348817825317, 'gui', 0), ('pyscript/pyscript', 0.5230824947357178, 'web', 3), ('microsoft/playwright-python', 0.5146863460540771, 'testing', 0), ('klen/muffin', 0.5121115446090698, 'web', 0), ('hoffstadt/dearpygui', 0.5109636187553406, 'gui', 0), ('pyglet/pyglet', 0.5096766948699951, 'gamedev', 0), ('reflex-dev/reflex', 0.5090579986572266, 'web', 0), ('clips/pattern', 0.5079214572906494, 'nlp', 0), ('pytest-dev/pytest-bdd', 0.5067077279090881, 'testing', 0), ('pyo3/maturin', 0.504960834980011, 'util', 1)]

207

5

null

9.38

180

113

72

0

12

13

12

180

385

90

2.1

66

29

ml-ops

https://github.com/great-expectations/great_expectations

[]

null

[]

null

great-expectations/great_expectations

great_expectations

9,157

1,443

82

Python

https://docs.greatexpectations.io/

Always know what to expect from your data.

great-expectations

2024-01-13

2017-09-11

333

27.486707

https://avatars.githubusercontent.com/u/31670619?v=4

Always know what to expect from your data.

['cleandata', 'data-engineering', 'data-profilers', 'data-profiling', 'data-quality', 'data-science', 'data-unit-tests', 'datacleaner', 'datacleaning', 'dataquality', 'dataunittest', 'eda', 'exploratory-analysis', 'exploratory-data-analysis', 'exploratorydataanalysis', 'mlops', 'pipeline', 'pipeline-debt', 'pipeline-testing', 'pipeline-tests']

2024-01-12

[('ydataai/ydata-profiling', 0.606023907661438, 'pandas', 5), ('hi-primus/optimus', 0.6027732491493225, 'ml-ops', 2), ('mage-ai/mage-ai', 0.5621156692504883, 'ml-ops', 3), ('ploomber/ploomber', 0.5521277785301208, 'ml-ops', 3), ('datafold/data-diff', 0.5429127216339111, 'data', 4), ('polyaxon/datatile', 0.5381271839141846, 'pandas', 4), ('ydataai/ydata-quality', 0.5358034372329712, 'data', 0), ('unionai-oss/pandera', 0.5351150035858154, 'pandas', 0), ('feast-dev/feast', 0.5238198041915894, 'ml-ops', 4), ('orchest/orchest', 0.5189650058746338, 'ml-ops', 1), ('dagworks-inc/hamilton', 0.5179693102836609, 'ml-ops', 3), ('google/ml-metadata', 0.5165597200393677, 'ml-ops', 0), ('airbytehq/airbyte', 0.5163770914077759, 'data', 2), ('dbt-labs/dbt-core', 0.5088808536529541, 'ml-ops', 0), ('krzjoa/awesome-python-data-science', 0.5083687901496887, 'study', 1), ('linealabs/lineapy', 0.5049693584442139, 'jupyter', 0), ('whylabs/whylogs', 0.5034822821617126, 'util', 3), ('meltano/meltano', 0.5034080147743225, 'ml-ops', 1)]

423

3

null

45.29

909

826

77

0

55

44

55

907

922

90

1

66

117

ml-ops

https://github.com/kedro-org/kedro

[]

null

[]

null

From: https://github.com/quantumblacklabs/kedro

null

kedro-org/kedro

kedro

9,091

860

107

Python

https://kedro.org

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

kedro-org

2024-01-14

2019-04-18

249

36.405606

https://avatars.githubusercontent.com/u/93382166?v=4

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

['experiment-tracking', 'kedro', 'machine-learning', 'machine-learning-engineering', 'mlops', 'pipeline']

2024-01-12

[('kedro-org/kedro-viz', 0.7322895526885986, 'ml-ops', 2), ('getindata/kedro-kubeflow', 0.660918653011322, 'ml-ops', 2), ('meltano/meltano', 0.5286129117012024, 'ml-ops', 0), ('kubeflow-kale/kale', 0.5225927233695984, 'ml-ops', 1), ('ploomber/ploomber', 0.5186499357223511, 'ml-ops', 2), ('mage-ai/mage-ai', 0.5148924589157104, 'ml-ops', 2), ('dagster-io/dagster', 0.5058962106704712, 'ml-ops', 1), ('polyaxon/polyaxon', 0.5058719515800476, 'ml-ops', 2), ('zenml-io/zenml', 0.5034431219100952, 'ml-ops', 2)]

218

4

null

9.52

583

417

58

0

12

10

12

583

1,135

90

1.9

66

1,368

llm

https://github.com/shishirpatil/gorilla

[]

null

[]

null

shishirpatil/gorilla

gorilla

8,848

682

97

Python

https://gorilla.cs.berkeley.edu/

Gorilla: An API store for LLMs

shishirpatil

2024-01-14

2023-05-19

36

241.9375

null

Gorilla: An API store for LLMs

['api', 'api-documentation', 'chatgpt', 'claude-api', 'gpt-4-api', 'llm', 'openai-api', 'openai-functions']

2023-11-20

[('berriai/litellm', 0.7173708081245422, 'llm', 1), ('openai/openai-cookbook', 0.6725669503211975, 'ml', 1), ('opengenerativeai/genossgpt', 0.6697072982788086, 'llm', 2), ('mmabrouk/chatgpt-wrapper', 0.6682367324829102, 'llm', 2), ('zilliztech/gptcache', 0.6505623459815979, 'llm', 2), ('run-llama/rags', 0.6374510526657104, 'llm', 2), ('xtekky/gpt4free', 0.6333321332931519, 'llm', 2), ('alphasecio/langchain-examples', 0.6303489804267883, 'llm', 1), ('langchain-ai/opengpts', 0.6241956353187561, 'llm', 1), ('openai/openai-python', 0.6225490570068359, 'util', 0), ('chainlit/chainlit', 0.6185116171836853, 'llm', 2), ('pathwaycom/llm-app', 0.6179982423782349, 'llm', 1), ('nomic-ai/gpt4all', 0.6152714490890503, 'llm', 0), ('microsoft/semantic-kernel', 0.612429678440094, 'llm', 1), ('microsoft/promptflow', 0.6032128930091858, 'llm', 2), ('dylanhogg/llmgraph', 0.5875014662742615, 'ml', 2), ('embedchain/embedchain', 0.5869289636611938, 'llm', 2), ('vitalik/django-ninja', 0.5843652486801147, 'web', 0), ('deepset-ai/haystack', 0.5841556787490845, 'llm', 1), ('hwchase17/langchain', 0.5784041285514832, 'llm', 0), ('intel/intel-extension-for-transformers', 0.5774163603782654, 'perf', 0), ('eugeneyan/open-llms', 0.5759145021438599, 'study', 1), ('deep-diver/llm-as-chatbot', 0.5617109537124634, 'llm', 0), ('ajndkr/lanarky', 0.5609325766563416, 'llm', 0), ('h2oai/h2o-llmstudio', 0.5525274872779846, 'llm', 2), ('hugapi/hug', 0.5522815585136414, 'util', 0), ('tiangolo/fastapi', 0.5488146543502808, 'web', 1), ('fastai/ghapi', 0.5438264012336731, 'util', 0), ('tigerlab-ai/tiger', 0.5373891592025757, 'llm', 1), ('jerryjliu/llama_index', 0.5362586975097656, 'llm', 1), ('microsoft/autogen', 0.5344410538673401, 'llm', 1), ('alpha-vllm/llama2-accessory', 0.5339228510856628, 'llm', 0), ('mlc-ai/web-llm', 0.533381462097168, 'llm', 2), ('salesforce/codet5', 0.5298489332199097, 'nlp', 0), ('young-geng/easylm', 0.5281785130500793, 'llm', 0), ('bobazooba/xllm', 0.5277217626571655, 'llm', 2), ('vllm-project/vllm', 0.5265129208564758, 'llm', 1), ('bigscience-workshop/petals', 0.5255513191223145, 'data', 0), ('microsoft/promptcraft-robotics', 0.5253349542617798, 'sim', 2), ('tiangolo/full-stack-fastapi-postgresql', 0.5247654914855957, 'template', 0), ('googleapis/google-api-python-client', 0.524009108543396, 'util', 0), ('snyk-labs/pysnyk', 0.5202717185020447, 'security', 1), ('mooler0410/llmspracticalguide', 0.5199465751647949, 'study', 0), ('farizrahman4u/loopgpt', 0.5184142589569092, 'llm', 1), ('starlite-api/starlite', 0.5183838605880737, 'web', 1), ('run-llama/llama-hub', 0.5163030028343201, 'data', 1), ('salesforce/xgen', 0.5161482691764832, 'llm', 1), ('nebuly-ai/nebullvm', 0.512731671333313, 'perf', 1), ('killianlucas/open-interpreter', 0.5121797323226929, 'llm', 1), ('confident-ai/deepeval', 0.5115599036216736, 'testing', 2), ('skypilot-org/skypilot', 0.5099743008613586, 'llm', 0), ('citadel-ai/langcheck', 0.5088066458702087, 'llm', 0), ('paddlepaddle/paddlenlp', 0.5080721378326416, 'llm', 1), ('bentoml/openllm', 0.5051870942115784, 'ml-ops', 1), ('larsbaunwall/bricky', 0.5044655799865723, 'llm', 0), ('openai/tiktoken', 0.5037037134170532, 'nlp', 1), ('hegelai/prompttools', 0.5024935603141785, 'llm', 0), ('pomponchik/instld', 0.5003833174705505, 'util', 0), ('falconry/falcon', 0.500187873840332, 'web', 1)]

15

6

null

0.75

27

13

8

2

1

2

1

27

39

90

1.4

66

533

nlp

https://github.com/espnet/espnet

[]

null

[]

null

espnet/espnet

espnet

7,522

2,046

179

Python

https://espnet.github.io/espnet/

End-to-End Speech Processing Toolkit

espnet

2024-01-14

2017-12-13

319

23.516749

https://avatars.githubusercontent.com/u/34493687?v=4

End-to-End Speech Processing Toolkit

['chainer', 'deep-learning', 'end-to-end', 'kaldi', 'machine-translation', 'pytorch', 'singing-voice-synthesis', 'speaker-diarization', 'speech-enhancement', 'speech-recognition', 'speech-separation', 'speech-synthesis', 'speech-translation', 'spoken-language-understanding', 'voice-conversion']

2024-01-10

[('speechbrain/speechbrain', 0.822684109210968, 'nlp', 7), ('nvidia/nemo', 0.63554447889328, 'nlp', 5), ('nateshmbhat/pyttsx3', 0.6220706105232239, 'util', 0), ('uberi/speech_recognition', 0.6095865964889526, 'ml', 1), ('huggingface/transformers', 0.5976542234420776, 'nlp', 3), ('m-bain/whisperx', 0.5822861194610596, 'nlp', 1), ('pndurette/gtts', 0.5670027732849121, 'util', 0), ('deeppavlov/deeppavlov', 0.5584684610366821, 'nlp', 1), ('rasahq/rasa', 0.5472486615180969, 'llm', 0), ('huggingface/datasets', 0.5337874889373779, 'nlp', 2), ('spotify/pedalboard', 0.5202059745788574, 'util', 0), ('lucidrains/toolformer-pytorch', 0.5174741744995117, 'llm', 1), ('spotify/basic-pitch', 0.5158132910728455, 'util', 0), ('nvidia/deeplearningexamples', 0.5145514607429504, 'ml-dl', 4), ('open-mmlab/mmediting', 0.5127143859863281, 'ml', 2), ('facebookresearch/seamless_communication', 0.5085058212280273, 'nlp', 0), ('alibaba/easynlp', 0.5063716173171997, 'nlp', 2), ('thilinarajapakse/simpletransformers', 0.5008228421211243, 'nlp', 0)]

398

5

null

69.46

207

108

74

0

4

8

4

207

532

90

2.6

66

871

time-series

https://github.com/sktime/sktime

[]

null

[]

1

null

sktime/sktime

sktime

7,149

1,191

102

Python

https://www.sktime.net

A unified framework for machine learning with time series

sktime

2024-01-14

2018-11-06

273

26.186813

https://avatars.githubusercontent.com/u/56396127?v=4

A unified framework for machine learning with time series

['data-mining', 'data-science', 'forecasting', 'machine-learning', 'scikit-learn', 'time-series', 'time-series-analysis', 'time-series-classification', 'time-series-regression']

2024-01-13

[('salesforce/merlion', 0.7518776059150696, 'time-series', 3), ('winedarksea/autots', 0.7021391987800598, 'time-series', 3), ('scikit-learn/scikit-learn', 0.6196394562721252, 'ml', 2), ('blue-yonder/tsfresh', 0.5950053930282593, 'time-series', 2), ('firmai/atspy', 0.5919238924980164, 'time-series', 3), ('alkaline-ml/pmdarima', 0.5908213257789612, 'time-series', 3), ('automl/auto-sklearn', 0.5886750817298889, 'ml', 1), ('unit8co/darts', 0.5841982960700989, 'time-series', 4), ('google/temporian', 0.5772302150726318, 'time-series', 1), ('awslabs/autogluon', 0.5768527984619141, 'ml', 5), ('xplainable/xplainable', 0.5621213912963867, 'ml-interpretability', 2), ('awslabs/gluonts', 0.5607674717903137, 'time-series', 4), ('salesforce/deeptime', 0.5567091107368469, 'time-series', 3), ('tensorflow/tensorflow', 0.5532556176185608, 'ml-dl', 1), ('rasbt/mlxtend', 0.5530063509941101, 'ml', 3), ('aistream-peelout/flow-forecast', 0.5518553256988525, 'time-series', 4), ('nixtla/statsforecast', 0.5418822169303894, 'time-series', 4), ('feast-dev/feast', 0.5417338609695435, 'ml-ops', 2), ('firmai/industry-machine-learning', 0.541723370552063, 'study', 2), ('pycaret/pycaret', 0.5355731844902039, 'ml', 3), ('microsoft/nni', 0.5316794514656067, 'ml', 2), ('facebookresearch/kats', 0.5305997729301453, 'time-series', 1), ('online-ml/river', 0.5300047993659973, 'ml', 2), ('ourownstory/neural_prophet', 0.529460608959198, 'ml', 3), ('linkedin/greykite', 0.5227073431015015, 'ml', 0), ('nccr-itmo/fedot', 0.520081639289856, 'ml-ops', 1), ('mlflow/mlflow', 0.5184756517410278, 'ml-ops', 1), ('microsoft/flaml', 0.5142588019371033, 'ml', 3), ('patchy631/machine-learning', 0.5128931403160095, 'ml', 0), ('koaning/human-learn', 0.5112270712852478, 'data', 2), ('districtdatalabs/yellowbrick', 0.5111024975776672, 'ml', 2), ('gradio-app/gradio', 0.5101883411407471, 'viz', 2), ('microprediction/microprediction', 0.5038242340087891, 'time-series', 1), ('polyaxon/datatile', 0.5024852752685547, 'pandas', 1)]

315

6

null

16.44

360

240

63

0

22

12

22

360

796

90

2.2

66

1,643

llm

https://github.com/plachtaa/vall-e-x

[]

null

[]

null

plachtaa/vall-e-x

VALL-E-X

6,692

638

73

Python

null

An open source implementation of Microsoft's VALL-E X zero-shot TTS model. Demo is available in https://plachtaa.github.io

plachtaa

2024-01-14

2023-07-29

26

253.210811

null

An open source implementation of Microsoft's VALL-E X zero-shot TTS model. Demo is available in https://plachtaa.github.io

['emotional-speech', 'gpt', 'text-to-speech', 'transformer-architecture', 'tts', 'vall-e', 'voice-clone']

2023-11-03

[('neonbjb/tortoise-tts', 0.6283189058303833, 'ml', 1), ('myshell-ai/openvoice', 0.6065437197685242, 'nlp', 3), ('pndurette/gtts', 0.5036769509315491, 'util', 2)]

9

6

null

2.25

53

12

6

2

0

53

90

1.7

66

1,856

llm

https://github.com/pytorch-labs/gpt-fast

['pytorch', 'transformer']

null

[]

null

pytorch-labs/gpt-fast

gpt-fast

4,442

465

52

Python

null

Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.

pytorch-labs

2024-01-14

2023-10-17

15

296.133333

https://avatars.githubusercontent.com/u/107212512?v=4

Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.

[]

['pytorch', 'transformer']

2024-01-06

[('karpathy/mingpt', 0.5887901782989502, 'llm', 0), ('pytorch/data', 0.5759943723678589, 'data', 0), ('huggingface/text-generation-inference', 0.5448298454284668, 'llm', 2), ('nateshmbhat/pyttsx3', 0.537563145160675, 'util', 0), ('lucidrains/dalle2-pytorch', 0.5372596383094788, 'diffusion', 0), ('minimaxir/gpt-2-simple', 0.5367690920829773, 'llm', 0), ('nvidia/apex', 0.5303529500961304, 'ml-dl', 0), ('nielsrogge/transformers-tutorials', 0.5239831805229187, 'study', 1), ('intel/intel-extension-for-pytorch', 0.5219361782073975, 'perf', 1), ('huggingface/transformers', 0.5157749056816101, 'nlp', 2), ('salesforce/blip', 0.5148594379425049, 'diffusion', 0), ('lucidrains/vit-pytorch', 0.5130720138549805, 'ml-dl', 0), ('faster-cpython/tools', 0.5083655118942261, 'perf', 0), ('lucidrains/imagen-pytorch', 0.5046398639678955, 'ml-dl', 0)]

7

4

null

0.27

83

27

3

0

83

178

90

2.1

66

1,738

viz

https://github.com/nvidia/tensorrt-llm

['tensorrt', 'gpu', 'language-model']

null

[]

null

nvidia/tensorrt-llm

TensorRT-LLM

4,276

370

50

C++

https://nvidia.github.io/TensorRT-LLM

TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.

nvidia

2024-01-14

2023-08-16

23

179.233533

https://avatars.githubusercontent.com/u/1728152?v=4

TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.

[]

['gpu', 'language-model', 'tensorrt']

2024-01-09

[('sjtu-ipads/powerinfer', 0.6346943974494934, 'llm', 0), ('exaloop/codon', 0.6340402364730835, 'perf', 0), ('pytorch/pytorch', 0.61689293384552, 'ml-dl', 1), ('ggerganov/ggml', 0.6161227822303772, 'ml', 0), ('google/tf-quant-finance', 0.6080841422080994, 'finance', 1), ('bobazooba/xllm', 0.5863513350486755, 'llm', 0), ('google/gin-config', 0.5778404474258423, 'util', 0), ('rafiqhasan/auto-tensorflow', 0.5734004378318787, 'ml-dl', 0), ('arogozhnikov/einops', 0.5731545686721802, 'ml-dl', 0), ('numba/numba', 0.5688282251358032, 'perf', 0), ('vllm-project/vllm', 0.5639804601669312, 'llm', 0), ('cupy/cupy', 0.5631754994392395, 'math', 1), ('tensorly/tensorly', 0.5586928129196167, 'ml-dl', 0), ('tigerlab-ai/tiger', 0.5560727119445801, 'llm', 0), ('nvidia/warp', 0.5474246740341187, 'sim', 1), ('facebookincubator/aitemplate', 0.5429112315177917, 'ml-dl', 0), ('eleutherai/gpt-neo', 0.5397517681121826, 'llm', 1), ('plasma-umass/scalene', 0.53840172290802, 'profiling', 1), ('next-gpt/next-gpt', 0.5343412160873413, 'llm', 0), ('huggingface/accelerate', 0.5342060923576355, 'ml', 0), ('citadel-ai/langcheck', 0.5307314395904541, 'llm', 1), ('microsoft/torchscale', 0.5302456617355347, 'llm', 0), ('guardrails-ai/guardrails', 0.5297648906707764, 'llm', 0), ('alphasecio/langchain-examples', 0.5265845060348511, 'llm', 0), ('microsoft/autogen', 0.525221586227417, 'llm', 0), ('eth-sri/lmql', 0.524734616279602, 'llm', 1), ('blackhc/toma', 0.5219219923019409, 'ml-dl', 1), ('xl0/lovely-tensors', 0.5217703580856323, 'ml-dl', 0), ('hiyouga/llama-factory', 0.5198065042495728, 'llm', 1), ('hiyouga/llama-efficient-tuning', 0.519806444644928, 'llm', 1), ('tensorflow/addons', 0.5190548300743103, 'ml', 0), ('nomic-ai/gpt4all', 0.5173569321632385, 'llm', 1), ('optimalscale/lmflow', 0.5172522068023682, 'llm', 1), ('minimaxir/gpt-2-simple', 0.5171143412590027, 'llm', 0), ('hannibal046/awesome-llm', 0.5133680105209351, 'study', 1), ('microsoft/jarvis', 0.5096875429153442, 'llm', 0), ('pypy/pypy', 0.5079455375671387, 'util', 0), ('juncongmoo/pyllama', 0.5075156092643738, 'llm', 0), ('intel/intel-extension-for-pytorch', 0.505849301815033, 'perf', 0), ('pytorchlightning/pytorch-lightning', 0.5039601922035217, 'ml-dl', 0), ('eleutherai/gpt-neox', 0.5021648406982422, 'llm', 1)]

4

1

null

0.83

857

578

5

0

3

12

3

858

2,931

90

3.4

66

788

web

https://github.com/starlite-api/starlite

[]

null

[]

null

starlite-api/starlite

litestar

3,806

298

33

Python

https://litestar.dev/

Production-ready, Light, Flexible and Extensible ASGI API framework | Effortlessly Build Performant APIs

starlite-api

2024-01-14

2021-12-06

112

33.938854

https://avatars.githubusercontent.com/u/97250344?v=4

Production-ready, Light, Flexible and Extensible ASGI API framework | Effortlessly Build Performant APIs

['api', 'asgi', 'asyncio', 'litestar', 'litestar-api', 'litestar-framework', 'msgspec', 'openapi', 'pydantic', 'rapidoc', 'redoc', 'rest', 'starlite', 'starlite-api', 'swagger']

2024-01-14

[('vitalik/django-ninja', 0.7026381492614746, 'web', 3), ('tiangolo/fastapi', 0.6928763389587402, 'web', 7), ('huge-success/sanic', 0.6891716122627258, 'web', 2), ('falconry/falcon', 0.6774393916130066, 'web', 3), ('neoteroi/blacksheep', 0.6740537881851196, 'web', 2), ('python-restx/flask-restx', 0.6593479514122009, 'web', 3), ('pallets/quart', 0.6257473230361938, 'web', 2), ('encode/uvicorn', 0.6137245893478394, 'web', 2), ('asacristani/fastapi-rocket-boilerplate', 0.5981463193893433, 'template', 0), ('jordaneremieff/mangum', 0.5975977182388306, 'web', 2), ('tiangolo/full-stack-fastapi-postgresql', 0.5915384292602539, 'template', 2), ('hugapi/hug', 0.573395848274231, 'util', 0), ('timofurrer/awesome-asyncio', 0.5622597932815552, 'study', 1), ('alirn76/panther', 0.5622544288635254, 'web', 0), ('encode/starlette', 0.5545772314071655, 'web', 0), ('aminalaee/sqladmin', 0.5524939894676208, 'data', 2), ('awtkns/fastapi-crudrouter', 0.550251841545105, 'web', 5), ('s3rius/fastapi-template', 0.5500728487968445, 'web', 1), ('klen/muffin', 0.548690915107727, 'web', 2), ('fastai/ghapi', 0.5345987677574158, 'util', 1), ('rawheel/fastapi-boilerplate', 0.533804178237915, 'web', 1), ('pallets/flask', 0.528308629989624, 'web', 0), ('simonw/datasette', 0.526665985584259, 'data', 1), ('aeternalis-ingenium/fastapi-backend-template', 0.5256733298301697, 'web', 0), ('flet-dev/flet', 0.5249883532524109, 'web', 0), ('shishirpatil/gorilla', 0.5183838605880737, 'llm', 1), ('fastai/fastcore', 0.5158090591430664, 'util', 0), ('emmett-framework/emmett', 0.5148096084594727, 'web', 2), ('pylons/pyramid', 0.5109481811523438, 'web', 0), ('encode/httpx', 0.5098319053649902, 'web', 1), ('sumerc/yappi', 0.5070291757583618, 'profiling', 2), ('pallets/werkzeug', 0.5068367123603821, 'web', 0), ('janetech-inc/fast-api-admin-template', 0.504593551158905, 'template', 0), ('prefecthq/server', 0.5044628381729126, 'util', 0), ('lucidrains/toolformer-pytorch', 0.5022919774055481, 'llm', 0), ('fastapi-users/fastapi-users', 0.5006967186927795, 'web', 1)]

170

4

null

21.63

572

455

26

0

47

80

47

572

1,394

90

2.4

66

1,847

data

https://github.com/run-llama/llama-hub

['data-loader', 'llm']

null

[]

null

run-llama/llama-hub

llama-hub

2,978

649

43

Jupyter Notebook

https://llamahub.ai/

A library of data loaders for LLMs made by the community -- to be used with LlamaIndex and/or LangChain

run-llama

2024-01-14

2023-02-01

51

57.426997

https://avatars.githubusercontent.com/u/130722866?v=4

A library of data loaders for LLMs made by the community -- to be used with LlamaIndex and/or LangChain

[]

['data-loader', 'llm']

2024-01-13

[('jerryjliu/llama_index', 0.6595434546470642, 'llm', 1), ('zilliztech/gptcache', 0.5969860553741455, 'llm', 1), ('eugeneyan/open-llms', 0.586604654788971, 'study', 1), ('run-llama/llama-lab', 0.5685200095176697, 'llm', 0), ('intel/intel-extension-for-transformers', 0.5623946189880371, 'perf', 0), ('alpha-vllm/llama2-accessory', 0.561208963394165, 'llm', 0), ('ajndkr/lanarky', 0.5594974160194397, 'llm', 0), ('ray-project/llm-applications', 0.5521401166915894, 'llm', 0), ('lightning-ai/lit-gpt', 0.5486422181129456, 'llm', 0), ('berriai/litellm', 0.5469061136245728, 'llm', 1), ('salesforce/xgen', 0.542940616607666, 'llm', 1), ('bentoml/openllm', 0.5397924184799194, 'ml-ops', 1), ('predibase/lorax', 0.5340386629104614, 'llm', 1), ('pathwaycom/llm-app', 0.5336598753929138, 'llm', 1), ('tloen/alpaca-lora', 0.5322900414466858, 'llm', 0), ('microsoft/llama-2-onnx', 0.5180464386940002, 'llm', 0), ('jzhang38/tinyllama', 0.5164508819580078, 'llm', 0), ('shishirpatil/gorilla', 0.5163030028343201, 'llm', 1), ('bigscience-workshop/petals', 0.5156326293945312, 'data', 0), ('alphasecio/langchain-examples', 0.5134257674217224, 'llm', 1), ('mshumer/gpt-llm-trainer', 0.5054514408111572, 'llm', 0), ('deepset-ai/haystack', 0.5051847100257874, 'llm', 0), ('nomic-ai/gpt4all', 0.5034949779510498, 'llm', 0), ('lancedb/lancedb', 0.5028201937675476, 'data', 0)]

224

4

null

14.58

286

240

12

0

59

285

330

90

1.2

66

1,188

diffusion

https://github.com/stability-ai/stablediffusion

['diffusion', 'image-generation']

null

[]

null

stability-ai/stablediffusion

stablediffusion

33,628

4,452

417

Python

null

High-Resolution Image Synthesis with Latent Diffusion Models

stability-ai

2024-01-14

2022-11-23

61

543.639723

https://avatars.githubusercontent.com/u/100950301?v=4

High-Resolution Image Synthesis with Latent Diffusion Models

[]

['diffusion', 'image-generation']

2023-03-25

[('compvis/latent-diffusion', 1.0000004768371582, 'diffusion', 2), ('albarji/mixture-of-diffusers', 0.690674364566803, 'diffusion', 0), ('compvis/stable-diffusion', 0.6550443768501282, 'diffusion', 2), ('openai/glide-text2im', 0.6436024308204651, 'diffusion', 0), ('huggingface/diffusers', 0.6299402713775635, 'diffusion', 2), ('sharonzhou/long_stable_diffusion', 0.5753588676452637, 'diffusion', 0), ('openai/point-e', 0.5376940965652466, 'util', 0), ('timothybrooks/instruct-pix2pix', 0.5207132697105408, 'diffusion', 0), ('kakaobrain/rq-vae-transformer', 0.5072489380836487, 'ml-dl', 0)]

18

4

null

0.58

34

7

14

10

0

34

90

1

65

756

ml-dl

https://github.com/xinntao/real-esrgan

[]

null

[]

null

xinntao/real-esrgan

Real-ESRGAN

24,620

3,149

216

Python

null

Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

xinntao

2024-01-14

2021-07-19

132

186.313514

null

Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

['amine', 'denoise', 'esrgan', 'image-restoration', 'jpeg-compression', 'pytorch', 'real-esrgan', 'super-resolution']

2022-09-20

[('xpixelgroup/basicsr', 0.6734346151351929, 'ml-dl', 3), ('tencentarc/gfpgan', 0.5772732496261597, 'ml', 3)]

11

7

null

0

66

14

30

16

0

8

66

85

90

1.3

65

827

util

https://github.com/micropython/micropython

[]

null

[]

null

micropython/micropython

micropython

17,769

7,083

735

C

https://micropython.org

MicroPython - a lean and efficient Python implementation for microcontrollers and constrained systems

micropython

2024-01-14

2013-12-20

527

33.680747

https://avatars.githubusercontent.com/u/6298560?v=4

MicroPython - a lean and efficient Python implementation for microcontrollers and constrained systems

['embedded', 'microcontroller', 'micropython']

2024-01-10

[('adafruit/circuitpython', 0.7091054916381836, 'util', 3), ('pypy/pypy', 0.6625933051109314, 'util', 0), ('pyston/pyston', 0.6496843695640564, 'util', 0), ('plasma-umass/scalene', 0.6017813086509705, 'profiling', 0), ('exaloop/codon', 0.5922623872756958, 'perf', 0), ('cython/cython', 0.5850077271461487, 'util', 0), ('ipython/ipyparallel', 0.5837920904159546, 'perf', 0), ('willmcgugan/textual', 0.5815902352333069, 'term', 0), ('google/gin-config', 0.578527569770813, 'util', 0), ('fastai/fastcore', 0.5780920386314392, 'util', 0), ('google/jax', 0.5700966119766235, 'ml', 0), ('python/cpython', 0.5564913153648376, 'util', 0), ('pallets/quart', 0.5557764768600464, 'web', 0), ('ethereum/py-evm', 0.5545228719711304, 'crypto', 0), ('intel/intel-extension-for-pytorch', 0.5541401505470276, 'perf', 0), ('pympler/pympler', 0.5511940121650696, 'perf', 0), ('artemyk/dynpy', 0.5470327734947205, 'sim', 0), ('dddomodossola/remi', 0.5408753752708435, 'gui', 0), ('hoffstadt/dearpygui', 0.5389625430107117, 'gui', 0), ('agronholm/apscheduler', 0.5366904139518738, 'util', 0), ('kubeflow/fairing', 0.5345472693443298, 'ml-ops', 0), ('joblib/joblib', 0.5310302376747131, 'util', 0), ('pyinfra-dev/pyinfra', 0.5298929214477539, 'util', 0), ('numpy/numpy', 0.5278494358062744, 'math', 0), ('numba/numba', 0.5256375670433044, 'perf', 0), ('python-trio/trio', 0.5247344970703125, 'perf', 0), ('wxwidgets/phoenix', 0.5213609933853149, 'gui', 0), ('pytoolz/toolz', 0.5203608870506287, 'util', 0), ('aws/chalice', 0.5198830366134644, 'web', 0), ('pallets/flask', 0.5177249908447266, 'web', 0), ('eleutherai/pyfra', 0.5175337195396423, 'ml', 0), ('py4j/py4j', 0.5158247947692871, 'util', 0), ('pythonspeed/filprofiler', 0.5140711069107056, 'profiling', 0), ('pytables/pytables', 0.5130558013916016, 'data', 0), ('nvidia/warp', 0.512362003326416, 'sim', 0), ('pytorch/pytorch', 0.5111660361289978, 'ml-dl', 0), ('erotemic/ubelt', 0.5087762475013733, 'util', 0), ('allrod5/injectable', 0.5082573294639587, 'util', 0), ('falconry/falcon', 0.507040798664093, 'web', 0), ('beeware/toga', 0.5063884258270264, 'gui', 0), ('alexmojaki/snoop', 0.505521297454834, 'debug', 0), ('1200wd/bitcoinlib', 0.5035257935523987, 'crypto', 0), ('numba/llvmlite', 0.5028732419013977, 'util', 0)]

613

3

null

19.92

536

284

123

5

4

6

4

537

1,681

90

3.1

65

30

web

https://github.com/huge-success/sanic

[]

null

[]

null

huge-success/sanic

sanic

17,531

1,545

408

Python

https://sanic.dev

Accelerate your web app development | Build fast. Run fast.

huge-success

2024-01-13

2016-05-26

400

43.749376

https://avatars.githubusercontent.com/u/25215992?v=4

Accelerate your web app development | Build fast. Run fast.

['api-server', 'asgi', 'asyncio', 'framework', 'sanic', 'web', 'web-framework', 'web-server']

2024-01-01

[('neoteroi/blacksheep', 0.7380421161651611, 'web', 4), ('pallets/quart', 0.7020831108093262, 'web', 2), ('starlite-api/starlite', 0.6891716122627258, 'web', 2), ('encode/uvicorn', 0.633416473865509, 'web', 2), ('tiangolo/fastapi', 0.6080839037895203, 'web', 3), ('alirn76/panther', 0.6031531095504761, 'web', 1), ('encode/starlette', 0.5865360498428345, 'web', 0), ('tiangolo/full-stack-fastapi-postgresql', 0.5729467868804932, 'template', 0), ('klen/muffin', 0.5701971054077148, 'web', 2), ('pallets/flask', 0.5633546710014343, 'web', 1), ('tiangolo/asyncer', 0.5628356337547302, 'perf', 1), ('vitalik/django-ninja', 0.5478051900863647, 'web', 0), ('emmett-framework/emmett', 0.5460001230239868, 'web', 3), ('aio-libs/aiohttp', 0.5445988774299622, 'web', 1), ('reflex-dev/reflex', 0.5383414030075073, 'web', 1), ('falconry/falcon', 0.5344210267066956, 'web', 3), ('flet-dev/flet', 0.5318177342414856, 'web', 1), ('encode/httpx', 0.5279699563980103, 'web', 1), ('python-restx/flask-restx', 0.5204745531082153, 'web', 0), ('jordaneremieff/mangum', 0.511349081993103, 'web', 3), ('magicstack/uvloop', 0.5082210898399353, 'util', 1)]

340

6

null

2.02

93

57

93

0

4

11

4

93

149

90

1.6

65