dylanhogg/awesome-python · Datasets at Hugging Face

1,289

llm

https://github.com/blinkdl/chatrwkv

[]

null

[]

null

blinkdl/chatrwkv

ChatRWKV

9,013

670

90

Python

null

ChatRWKV is like ChatGPT but powered by RWKV (100% RNN) language model, and open source.

blinkdl

2024-01-14

2023-01-13

54

165.159686

null

ChatRWKV is like ChatGPT but powered by RWKV (100% RNN) language model, and open source.

['chatbot', 'chatgpt', 'language-model', 'pytorch', 'rnn', 'rwkv']

2023-12-27

[('xtekky/gpt4free', 0.6857205033302307, 'llm', 3), ('run-llama/rags', 0.678069531917572, 'llm', 2), ('blinkdl/rwkv-lm', 0.6400032043457031, 'llm', 5), ('embedchain/embedchain', 0.6271498203277588, 'llm', 1), ('nomic-ai/gpt4all', 0.6257155537605286, 'llm', 2), ('lm-sys/fastchat', 0.6127018928527832, 'llm', 2), ('togethercomputer/openchatkit', 0.6018038392066956, 'nlp', 1), ('killianlucas/open-interpreter', 0.6001401543617249, 'llm', 1), ('microsoft/autogen', 0.5980231761932373, 'llm', 2), ('fasteval/fasteval', 0.5970721244812012, 'llm', 0), ('minimaxir/simpleaichat', 0.5946717262268066, 'llm', 1), ('databrickslabs/dolly', 0.592911422252655, 'llm', 1), ('next-gpt/next-gpt', 0.5798339247703552, 'llm', 1), ('openlmlab/moss', 0.5662409067153931, 'llm', 2), ('openai/tiktoken', 0.5641686320304871, 'nlp', 1), ('rasahq/rasa', 0.5604526400566101, 'llm', 1), ('deeppavlov/deeppavlov', 0.5481441617012024, 'nlp', 1), ('mlc-ai/web-llm', 0.5393033623695374, 'llm', 2), ('openai/openai-cookbook', 0.5351440906524658, 'ml', 1), ('allenai/allennlp', 0.5303969979286194, 'nlp', 1), ('gunthercox/chatterbot', 0.5218847393989563, 'nlp', 1), ('langchain-ai/chat-langchain', 0.521385908126831, 'llm', 0), ('gunthercox/chatterbot-corpus', 0.5196929574012756, 'nlp', 0), ('nvidia/nemo', 0.5173482894897461, 'nlp', 1), ('mayooear/gpt4-pdf-chatbot-langchain', 0.5159780979156494, 'llm', 0), ('laion-ai/open-assistant', 0.5142605900764465, 'llm', 2), ('chatarena/chatarena', 0.5140795111656189, 'llm', 1), ('rcgai/simplyretrieve', 0.5114522576332092, 'llm', 0), ('speechbrain/speechbrain', 0.5112695693969727, 'nlp', 2), ('thudm/chatglm2-6b', 0.5033798813819885, 'llm', 0)]

17

4

null

5.88

14

7

12

1

0

14

7

90

0.5

61

1,074

nlp

https://github.com/togethercomputer/openchatkit

['chatbot']

OpenChatKit provides a powerful, open-source base to create both specialized and general purpose chatbots

[]

null

togethercomputer/openchatkit

OpenChatKit

8,958

1,024

123

Python

null

togethercomputer

2024-01-14

2023-03-03

47

188.306306

https://avatars.githubusercontent.com/u/109101822?v=4

OpenChatKit provides a powerful, open-source base to create both specialized and general purpose chatbots

[]

['chatbot']

2023-08-17

[('embedchain/embedchain', 0.7426310181617737, 'llm', 0), ('gunthercox/chatterbot', 0.6964467167854309, 'nlp', 1), ('rasahq/rasa', 0.6932374835014343, 'llm', 1), ('nomic-ai/gpt4all', 0.6839218139648438, 'llm', 1), ('minimaxir/simpleaichat', 0.6666284203529358, 'llm', 0), ('deeppavlov/deeppavlov', 0.6648150086402893, 'nlp', 1), ('run-llama/rags', 0.6478996872901917, 'llm', 1), ('rcgai/simplyretrieve', 0.6417977213859558, 'llm', 0), ('larsbaunwall/bricky', 0.6274131536483765, 'llm', 0), ('laion-ai/open-assistant', 0.6049430966377258, 'llm', 0), ('blinkdl/chatrwkv', 0.6018038392066956, 'llm', 1), ('langchain-ai/chat-langchain', 0.6002198457717896, 'llm', 0), ('krohling/bondai', 0.596705973148346, 'llm', 0), ('lm-sys/fastchat', 0.5938577651977539, 'llm', 1), ('cheshire-cat-ai/core', 0.5846368074417114, 'llm', 1), ('microsoft/chatgpt-robot-manipulation-prompts', 0.5749940872192383, 'llm', 0), ('killianlucas/open-interpreter', 0.570201575756073, 'llm', 0), ('prefecthq/marvin', 0.5622385144233704, 'nlp', 0), ('xtekky/gpt4free', 0.5519025325775146, 'llm', 1), ('kalliope-project/kalliope', 0.5493156909942627, 'util', 0), ('mayooear/gpt4-pdf-chatbot-langchain', 0.5483038425445557, 'llm', 0), ('deepset-ai/haystack', 0.5454091429710388, 'llm', 0), ('deep-diver/llm-as-chatbot', 0.5419533848762512, 'llm', 1), ('nvidia/nemo', 0.5391964912414551, 'nlp', 0), ('errbotio/errbot', 0.5380634665489197, 'nlp', 1), ('openlmlab/moss', 0.5363262295722961, 'llm', 0), ('openai/gpt-discord-bot', 0.5345660448074341, 'llm', 0), ('gunthercox/chatterbot-corpus', 0.5263169407844543, 'nlp', 0), ('weaviate/verba', 0.5258392691612244, 'llm', 0), ('fasteval/fasteval', 0.519807755947113, 'llm', 0), ('hwchase17/langchain', 0.5152731537818909, 'llm', 1), ('openai/openai-cookbook', 0.51520174741745, 'ml', 0), ('pathwaycom/llm-app', 0.5052575469017029, 'llm', 1), ('eternnoir/pytelegrambotapi', 0.5013675093650818, 'util', 0)]

19

6

null

2.15

8

2

11

5

0

2

8

4

90

0.5

61

1,361

llm

https://github.com/artidoro/qlora

['language-model']

null

[]

null

artidoro/qlora

qlora

8,702

762

81

Jupyter Notebook

https://arxiv.org/abs/2305.14314

QLoRA: Efficient Finetuning of Quantized LLMs

artidoro

2024-01-14

2023-05-11

37

230.734848

null

QLoRA: Efficient Finetuning of Quantized LLMs

[]

['language-model']

2023-07-24

[('opengvlab/omniquant', 0.7345274090766907, 'llm', 0), ('squeezeailab/squeezellm', 0.6456478834152222, 'llm', 0), ('hiyouga/llama-factory', 0.6366949081420898, 'llm', 1), ('hiyouga/llama-efficient-tuning', 0.6366947889328003, 'llm', 1), ('bobazooba/xllm', 0.6219983100891113, 'llm', 0), ('timdettmers/bitsandbytes', 0.6154015064239502, 'util', 0), ('ray-project/ray-llm', 0.6143306493759155, 'llm', 0), ('salesforce/xgen', 0.6102448105812073, 'llm', 1), ('juncongmoo/pyllama', 0.5865978002548218, 'llm', 0), ('vllm-project/vllm', 0.5857405066490173, 'llm', 0), ('young-geng/easylm', 0.574920654296875, 'llm', 1), ('sjtu-ipads/powerinfer', 0.5710045695304871, 'llm', 0), ('amazon-science/dq-bart', 0.5504317283630371, 'nlp', 0), ('predibase/llm_distillation_playbook', 0.5419549345970154, 'llm', 0), ('cg123/mergekit', 0.5330007076263428, 'llm', 0), ('vahe1994/spqr', 0.5260251760482788, 'llm', 0), ('lightning-ai/lit-gpt', 0.5197663903236389, 'llm', 0), ('hao-ai-lab/lookaheaddecoding', 0.5174603462219238, 'llm', 0), ('huawei-noah/pretrained-language-model', 0.5163824558258057, 'nlp', 0), ('microsoft/torchscale', 0.5133755207061768, 'llm', 0), ('lightning-ai/lit-llama', 0.5125903487205505, 'llm', 1), ('lianjiatech/belle', 0.5086693167686462, 'llm', 0), ('li-plus/chatglm.cpp', 0.5086432099342346, 'llm', 0), ('intel/intel-extension-for-transformers', 0.5075502395629883, 'perf', 0), ('mooler0410/llmspracticalguide', 0.5064951181411743, 'study', 0), ('eugeneyan/open-llms', 0.5061990022659302, 'study', 0), ('ibm/dromedary', 0.5037577748298645, 'llm', 1), ('thudm/chatglm2-6b', 0.5035903453826904, 'llm', 0), ('optimalscale/lmflow', 0.5009582042694092, 'llm', 1)]

16

4

null

1.37

34

12

8

6

0

33

31

90

0.9

61

609

testing

https://github.com/robotframework/robotframework

[]

null

[]

null

robotframework/robotframework

robotframework

8,634

2,217

475

Python

http://robotframework.org

Generic automation framework for acceptance testing and RPA

robotframework

2024-01-13

2014-06-27

500

17.248288

https://avatars.githubusercontent.com/u/574284?v=4

Generic automation framework for acceptance testing and RPA

['attd', 'automation', 'bdd', 'robotframework', 'rpa', 'testautomation', 'testing']

2024-01-11

[('vedro-universe/vedro', 0.5252175331115723, 'testing', 1), ('seleniumbase/seleniumbase', 0.5185773968696594, 'testing', 0)]

193

4

null

13.5

280

216

116

0

12

15

12

280

408

90

1.5

61

312

util

https://github.com/pypa/pipx

[]

null

[]

null

pypa/pipx

pipx

7,789

361

75

Python

https://pipx.pypa.io

Install and Run Python Applications in Isolated Environments

pypa

2024-01-14

2018-10-06

277

28.075695

https://avatars.githubusercontent.com/u/647025?v=4

Install and Run Python Applications in Isolated Environments

['cli', 'pip', 'venv']

2024-01-13

[('pyenv/pyenv', 0.6269603371620178, 'util', 2), ('pypa/virtualenv', 0.6216922998428345, 'util', 2), ('pypa/pipenv', 0.6215226650238037, 'util', 2), ('ofek/pyapp', 0.604620099067688, 'util', 1), ('beeware/briefcase', 0.5395711064338684, 'util', 0), ('pantsbuild/pex', 0.5113623738288879, 'util', 1), ('pomponchik/instld', 0.5103548765182495, 'util', 2), ('pypa/hatch', 0.5080375671386719, 'util', 1), ('pyinstaller/pyinstaller', 0.5007230639457703, 'util', 0)]

124

4

null

2.52

264

199

64

0

9

12

9

264

474

90

1.8

61

1,047

ml-dl

https://github.com/lucidrains/imagen-pytorch

[]

null

[]

null

lucidrains/imagen-pytorch

imagen-pytorch

7,563

714

111

Python

null

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

lucidrains

2024-01-13

2022-05-23

88

85.80389

null

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

['artificial-intelligence', 'deep-learning', 'imagination-machine', 'text-to-image', 'text-to-video']

2024-01-12

[('lucidrains/dalle2-pytorch', 0.7950653433799744, 'diffusion', 3), ('hysts/pytorch_image_classification', 0.6431624889373779, 'ml-dl', 0), ('fourthbrain/fastapi-for-machine-learning-live-demo', 0.6227165460586548, 'web', 1), ('pytorch/ignite', 0.6169648766517639, 'ml-dl', 1), ('nvlabs/gcvit', 0.6131131052970886, 'diffusion', 1), ('saharmor/dalle-playground', 0.5938807725906372, 'diffusion', 2), ('skorch-dev/skorch', 0.5915490388870239, 'ml-dl', 0), ('alibaba/easynlp', 0.5900583267211914, 'nlp', 1), ('lucidrains/deep-daze', 0.588476300239563, 'ml', 3), ('salesforce/blip', 0.579346776008606, 'diffusion', 0), ('open-mmlab/mmediting', 0.5784053206443787, 'ml', 1), ('minimaxir/textgenrnn', 0.5763087272644043, 'nlp', 1), ('lucidrains/vit-pytorch', 0.5685757994651794, 'ml-dl', 1), ('nyandwi/modernconvnets', 0.5683515667915344, 'ml-dl', 0), ('intel/intel-extension-for-pytorch', 0.5663982033729553, 'perf', 1), ('pyg-team/pytorch_geometric', 0.5598738193511963, 'ml-dl', 1), ('mrdbourke/pytorch-deep-learning', 0.5554819703102112, 'study', 1), ('allenai/allennlp', 0.5545222163200378, 'nlp', 1), ('rwightman/pytorch-image-models', 0.5502446889877319, 'ml-dl', 0), ('activeloopai/deeplake', 0.5490372776985168, 'ml-ops', 1), ('karpathy/micrograd', 0.5438899993896484, 'study', 0), ('automatic1111/stable-diffusion-webui', 0.5401318073272705, 'diffusion', 1), ('lightly-ai/lightly', 0.5377395153045654, 'ml', 1), ('openai/clip', 0.5373484492301941, 'ml-dl', 1), ('jina-ai/clip-as-service', 0.5368449091911316, 'nlp', 1), ('huggingface/diffusers', 0.5299099087715149, 'diffusion', 1), ('huggingface/transformers', 0.5293651223182678, 'nlp', 1), ('ddbourgin/numpy-ml', 0.5289348363876343, 'ml', 0), ('nomic-ai/nomic', 0.5279374718666077, 'nlp', 0), ('nicolas-chaulet/torch-points3d', 0.5233572125434875, 'ml', 0), ('deci-ai/super-gradients', 0.5232393145561218, 'ml-dl', 1), ('lutzroeder/netron', 0.52129065990448, 'ml', 1), ('kornia/kornia', 0.5201680064201355, 'ml-dl', 2), ('rasbt/machine-learning-book', 0.5199929475784302, 'study', 1), ('microsoft/onnxruntime', 0.519209623336792, 'ml', 1), ('denys88/rl_games', 0.5174486041069031, 'ml-rl', 1), ('jaidedai/easyocr', 0.5161765217781067, 'data', 1), ('davidadsp/generative_deep_learning_2nd_edition', 0.5147601962089539, 'study', 1), ('nvidia/deeplearningexamples', 0.5135546326637268, 'ml-dl', 1), ('sharonzhou/long_stable_diffusion', 0.5128797292709351, 'diffusion', 0), ('neuralmagic/sparseml', 0.512857973575592, 'ml-dl', 0), ('tensorlayer/tensorlayer', 0.5119508504867554, 'ml-rl', 2), ('awslabs/autogluon', 0.5101648569107056, 'ml', 1), ('deepmind/deepmind-research', 0.5075194835662842, 'ml', 0), ('huggingface/datasets', 0.5067300200462341, 'nlp', 1), ('pytorch-labs/gpt-fast', 0.5046398639678955, 'llm', 0), ('fepegar/torchio', 0.5043638348579407, 'ml-dl', 1), ('xl0/lovely-tensors', 0.5031198263168335, 'ml-dl', 1), ('nvlabs/prismer', 0.5019423961639404, 'diffusion', 0)]

20

3

null

1

13

3

20

0

40

212

40

13

16

90

1.2

61

344

jupyter

https://github.com/mwouts/jupytext

[]

null

[]

null

mwouts/jupytext

jupytext

6,301

387

69

Python

https://jupytext.readthedocs.io

Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts

mwouts

2024-01-14

2018-06-15

293

21.46326

null

Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts

['hydrogen', 'jupyter-notebook', 'jupyterlab', 'jupyterlab-extension', 'knitr', 'markdown', 'notebooks', 'rmarkdown', 'rstudio', 'version-control']

2024-01-13

[('jupyter/nbformat', 0.6959807276725769, 'jupyter', 0), ('jupyter/notebook', 0.6791135668754578, 'jupyter', 1), ('voila-dashboards/voila', 0.6650576591491699, 'jupyter', 2), ('jupyter-widgets/ipywidgets', 0.6579967737197876, 'jupyter', 1), ('jupyterlab/jupyterlab-desktop', 0.6525211930274963, 'jupyter', 2), ('jupyter-lsp/jupyterlab-lsp', 0.6457168459892273, 'jupyter', 3), ('aws/graph-notebook', 0.6454940438270569, 'jupyter', 1), ('jupyter/nbdime', 0.6408078074455261, 'jupyter', 3), ('cohere-ai/notebooks', 0.6391822695732117, 'llm', 1), ('nteract/papermill', 0.632023811340332, 'jupyter', 1), ('jupyter/nbconvert', 0.6044052839279175, 'jupyter', 0), ('vizzuhq/ipyvizzu', 0.5986511707305908, 'jupyter', 1), ('jupyterlab/jupyterlab', 0.5835863947868347, 'jupyter', 1), ('jupyter/nbgrader', 0.5783310532569885, 'jupyter', 1), ('fchollet/deep-learning-with-python-notebooks', 0.5749877095222473, 'study', 0), ('nbqa-dev/nbqa', 0.5719586610794067, 'jupyter', 1), ('quantopian/qgrid', 0.5685391426086426, 'jupyter', 0), ('ipython/ipykernel', 0.5664380788803101, 'util', 1), ('computationalmodelling/nbval', 0.5556824803352356, 'jupyter', 1), ('jupyterlite/jupyterlite', 0.5492159128189087, 'jupyter', 2), ('python-markdown/markdown', 0.5461102724075317, 'util', 1), ('jakevdp/pythondatasciencehandbook', 0.5404434204101562, 'study', 1), ('mamba-org/gator', 0.5371402502059937, 'jupyter', 2), ('tkrabel/bamboolib', 0.5347379446029663, 'pandas', 2), ('maartenbreddels/ipyvolume', 0.520946741104126, 'jupyter', 1), ('xiaohk/stickyland', 0.5160862803459167, 'jupyter', 2), ('bloomberg/ipydatagrid', 0.5105863809585571, 'jupyter', 1)]

85

6

null

3.15

95

66

68

0

13

26

13

95

244

90

2.6

61

141

nlp

https://github.com/neuml/txtai

[]

null

[]

null

neuml/txtai

txtai

5,982

443

77

Python

https://neuml.github.io/txtai

💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

neuml

2024-01-14

2020-08-09

181

32.997636

https://avatars.githubusercontent.com/u/59890304?v=4

💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

['embeddings', 'information-retrieval', 'language-model', 'large-language-models', 'llm', 'machine-learning', 'neural-search', 'nlp', 'rag', 'retrieval-augmented-generation', 'search', 'search-engine', 'semantic-search', 'sentence-embeddings', 'transformers', 'txtai', 'vector-database', 'vector-search', 'vector-search-engine']

2024-01-12

[('paddlepaddle/paddlenlp', 0.7093960642814636, 'llm', 5), ('llmware-ai/llmware', 0.7031641602516174, 'llm', 9), ('chroma-core/chroma', 0.6690793633460999, 'data', 1), ('qdrant/fastembed', 0.6601556539535522, 'ml', 4), ('jina-ai/vectordb', 0.6555339097976685, 'data', 4), ('muennighoff/sgpt', 0.6413739323616028, 'llm', 6), ('deepset-ai/haystack', 0.635899007320404, 'llm', 7), ('intellabs/fastrag', 0.6202690005302429, 'nlp', 5), ('milvus-io/bootcamp', 0.6126426458358765, 'data', 3), ('ddangelov/top2vec', 0.608359694480896, 'nlp', 1), ('nomic-ai/semantic-search-app-template', 0.6002048254013062, 'study', 1), ('jina-ai/clip-as-service', 0.5824137330055237, 'nlp', 1), ('eleutherai/the-pile', 0.5822166800498962, 'data', 1), ('docarray/docarray', 0.5759537816047668, 'data', 3), ('activeloopai/deeplake', 0.575560450553894, 'ml-ops', 5), ('lancedb/lancedb', 0.574266254901886, 'data', 3), ('jina-ai/finetuner', 0.56916743516922, 'ml', 1), ('explosion/spacy-llm', 0.5675748586654663, 'llm', 4), ('qdrant/qdrant', 0.5641199350357056, 'data', 7), ('awslabs/dgl-ke', 0.5560591220855713, 'ml', 1), ('zilliztech/gptcache', 0.5468195080757141, 'llm', 3), ('infinitylogesh/mutate', 0.5397577285766602, 'nlp', 1), ('koaning/embetter', 0.538155198097229, 'data', 0), ('amansrivastava17/embedding-as-service', 0.5340142250061035, 'nlp', 2), ('sebischair/lbl2vec', 0.5315554738044739, 'nlp', 2), ('kagisearch/vectordb', 0.529229998588562, 'data', 2), ('hegelai/prompttools', 0.5288627743721008, 'llm', 4), ('plasticityai/magnitude', 0.526243269443512, 'nlp', 3), ('alibaba/easynlp', 0.5239185690879822, 'nlp', 3), ('ukplab/sentence-transformers', 0.5237442255020142, 'nlp', 3), ('weaviate/semantic-search-through-wikipedia-with-weaviate', 0.5210995674133301, 'data', 1), ('koaning/whatlies', 0.5187655687332153, 'nlp', 2), ('marqo-ai/marqo', 0.5169413089752197, 'ml', 7), ('paddlepaddle/rocketqa', 0.5149143934249878, 'nlp', 2), ('huggingface/transformers', 0.5143444538116455, 'nlp', 3), ('salesforce/xgen', 0.5134238600730896, 'llm', 4), ('lm-sys/fastchat', 0.5114730000495911, 'llm', 1), ('deeppavlov/deeppavlov', 0.5076900720596313, 'nlp', 2), ('mooler0410/llmspracticalguide', 0.5057186484336853, 'study', 2), ('allenai/allennlp', 0.50567227602005, 'nlp', 1), ('dylanhogg/llmgraph', 0.5045521259307861, 'ml', 1), ('microsoft/vert-papers', 0.5036661028862, 'nlp', 1), ('princeton-nlp/alce', 0.5001633763313293, 'llm', 0), ('lianjiatech/belle', 0.5000015497207642, 'llm', 0)]

12

7

null

5.67

74

59

42

0

8

10

8

74

152

90

2.1

61

82

util

https://github.com/sphinx-doc/sphinx

[]

null

[]

null

sphinx-doc/sphinx

sphinx

5,855

2,037

148

Python

https://www.sphinx-doc.org/

The Sphinx documentation generator

sphinx-doc

2024-01-14

2015-01-02

473

12.363499

https://avatars.githubusercontent.com/u/9928167?v=4

The Sphinx documentation generator

['docs', 'documentation', 'documentation-tool', 'markdown', 'restructuredtext', 'sphinx']

2024-01-14

[('executablebooks/jupyter-book', 0.753897488117218, 'jupyter', 0), ('mitmproxy/pdoc', 0.7031545042991638, 'util', 3), ('pdoc3/pdoc', 0.6652024388313293, 'util', 3), ('squidfunk/mkdocs-material', 0.6544510126113892, 'util', 1), ('mkdocs/mkdocs', 0.6297897100448608, 'util', 2), ('mkdocstrings/mkdocstrings', 0.5597922801971436, 'util', 0), ('getpelican/pelican', 0.5320377349853516, 'web', 0)]

796

7

null

14.88

299

202

110

0

15

21

15

299

447

90

1.5

61

342

web

https://github.com/vitalik/django-ninja

[]

null

[]

null

vitalik/django-ninja

django-ninja

5,676

346

75

Python

https://django-ninja.dev

💨 Fast, Async-ready, Openapi, type hints based framework for building APIs

vitalik

2024-01-14

2020-05-19

193

29.409326

null

💨 Fast, Async-ready, Openapi, type hints based framework for building APIs

['django', 'django-ninja', 'openapi', 'pydantic', 'rest-api', 'swagger', 'swagger-ui']

2024-01-08

[('tiangolo/fastapi', 0.8338611721992493, 'web', 4), ('python-restx/flask-restx', 0.7110880613327026, 'web', 1), ('starlite-api/starlite', 0.7026381492614746, 'web', 3), ('awtkns/fastapi-crudrouter', 0.6941371560096741, 'web', 2), ('hugapi/hug', 0.6697272658348083, 'util', 0), ('asacristani/fastapi-rocket-boilerplate', 0.6605289578437805, 'template', 0), ('tiangolo/full-stack-fastapi-postgresql', 0.6353817582130432, 'template', 2), ('willmcgugan/textual', 0.6247105002403259, 'term', 0), ('falconry/falcon', 0.6103278994560242, 'web', 0), ('rawheel/fastapi-boilerplate', 0.6011227369308472, 'web', 1), ('shishirpatil/gorilla', 0.5843652486801147, 'llm', 0), ('fastai/ghapi', 0.58127361536026, 'util', 1), ('mitmproxy/pdoc', 0.5793086886405945, 'util', 0), ('s3rius/fastapi-template', 0.5742310285568237, 'web', 0), ('fastai/fastcore', 0.5651664137840271, 'util', 0), ('pyeve/eve', 0.563342809677124, 'web', 0), ('alirn76/panther', 0.5587133169174194, 'web', 0), ('openai/openai-python', 0.5567331910133362, 'util', 0), ('kivy/kivy', 0.5482510328292847, 'util', 0), ('huge-success/sanic', 0.5478051900863647, 'web', 0), ('pallets/flask', 0.5399484038352966, 'web', 0), ('prefecthq/server', 0.5366072654724121, 'util', 0), ('plotly/dash', 0.5318993926048279, 'viz', 0), ('lucidrains/toolformer-pytorch', 0.528582751750946, 'llm', 0), ('fastapi-admin/fastapi-admin', 0.5257643461227417, 'web', 0), ('bottlepy/bottle', 0.5206802487373352, 'web', 0), ('flet-dev/flet', 0.5206228494644165, 'web', 0), ('ml-tooling/opyrator', 0.5184093713760376, 'viz', 1), ('langchain-ai/opengpts', 0.5144355297088623, 'llm', 0), ('reflex-dev/reflex', 0.512046754360199, 'web', 0), ('simple-salesforce/simple-salesforce', 0.508848249912262, 'data', 0), ('oobabooga/text-generation-webui', 0.5028524398803711, 'llm', 0), ('alphasecio/langchain-examples', 0.5026804804801941, 'llm', 0), ('eternnoir/pytelegrambotapi', 0.5017293095588684, 'util', 0)]

125

3

null

4.52

208

110

44

0

13

11

13

208

362

90

1.7

61

754

sim

https://github.com/qiskit/qiskit

[]

null

[]

null

qiskit/qiskit

qiskit

4,208

2,164

216

Python

https://www.ibm.com/quantum/qiskit

Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.

qiskit

2024-01-14

2017-03-03

360

11.670365

https://avatars.githubusercontent.com/u/30696987?v=4

Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.

['qiskit', 'quantum', 'quantum-circuit', 'quantum-computing', 'quantum-programming-language', 'sdk']

2024-01-12

[('jackhidary/quantumcomputingbook', 0.5992211699485779, 'study', 3), ('cqcl/tket', 0.5771373510360718, 'util', 1), ('quantumlib/cirq', 0.5546154975891113, 'sim', 1), ('cqcl/lambeq', 0.5245597958564758, 'nlp', 0), ('netket/netket', 0.5100851058959961, 'sim', 1)]

534

5

null

18.23

804

580

84

0

20

16

20

805

1,767

90

2.2

61

1,313

diffusion

https://github.com/idea-research/groundingdino

['awesome']

null

[]

null

idea-research/groundingdino

GroundingDINO

4,067

415

30

Python

https://arxiv.org/abs/2303.05499

Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

idea-research

2024-01-14

2023-03-09

46

87.061162

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

Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

['object-detection', 'open-world', 'open-world-detection', 'vision-language', 'vision-language-transformer']

['awesome', 'object-detection', 'open-world', 'open-world-detection', 'vision-language', 'vision-language-transformer']

2023-12-31

[('idea-research/grounded-segment-anything', 0.6477982997894287, 'llm', 0), ('roboflow/notebooks', 0.5870379209518433, 'study', 1), ('facebookresearch/dinov2', 0.5680932402610779, 'diffusion', 0), ('nvlabs/gcvit', 0.5644093751907349, 'diffusion', 1), ('open-mmlab/mmdetection', 0.5333415269851685, 'ml', 1), ('deci-ai/super-gradients', 0.5182757377624512, 'ml-dl', 1)]

23

6

null

1.25

67

12

10

0

2

67

90

1

61

515

util

https://github.com/spack/spack

[]

null

[]

null

spack/spack

spack

3,783

2,097

100

Python

https://spack.io

A flexible package manager that supports multiple versions, configurations, platforms, and compilers.

spack

2024-01-14

2014-01-08

524

7.207676

https://avatars.githubusercontent.com/u/25539161?v=4

A flexible package manager that supports multiple versions, configurations, platforms, and compilers.

['build-tools', 'hpc', 'linux', 'macos', 'package-manager', 'radiuss', 'scientific-computing', 'spack']

2024-01-13

[('conda/conda', 0.7269142270088196, 'util', 1), ('mamba-org/mamba', 0.6774295568466187, 'util', 1), ('pomponchik/instld', 0.6380254030227661, 'util', 1), ('pypa/hatch', 0.592124879360199, 'util', 1), ('pypa/setuptools_scm', 0.5813215970993042, 'util', 0), ('mitsuhiko/rye', 0.5651411414146423, 'util', 1), ('pdm-project/pdm', 0.5586650371551514, 'util', 1), ('tiiuae/sbomnix', 0.5559228658676147, 'util', 0), ('indygreg/pyoxidizer', 0.5544406771659851, 'util', 1), ('mtkennerly/dunamai', 0.5440518856048584, 'util', 0), ('python-poetry/poetry', 0.5117734670639038, 'util', 1), ('scikit-build/scikit-build', 0.5056064128875732, 'ml', 0), ('mamba-org/boa', 0.5025382041931152, 'util', 0), ('polyaxon/polyaxon', 0.5023648738861084, 'ml-ops', 0)]

1,567

4

null

109.62

2,017

1,508

122

0

8

10

8

2,016

3,672

90

1.8

61

1,436

jupyter

https://github.com/jupyterlab/jupyter-ai

[]

null

[]

null

jupyterlab/jupyter-ai

jupyter-ai

2,475

225

31

Python

https://jupyter-ai.readthedocs.io/

A generative AI extension for JupyterLab

jupyterlab

2024-01-14

2023-02-09

50

48.802817

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

A generative AI extension for JupyterLab

['generative-ai', 'jupyter', 'jupyterlab', 'jupyterlab-extension']

2024-01-10

[('chaoleili/jupyterlab_tensorboard', 0.5836908221244812, 'jupyter', 2), ('jupyterlab/jupyterlab', 0.5743774771690369, 'jupyter', 2), ('jupyter-lsp/jupyterlab-lsp', 0.5275683403015137, 'jupyter', 3), ('ipython/ipykernel', 0.5044593811035156, 'util', 1), ('jupyter-widgets/ipywidgets', 0.5035024285316467, 'jupyter', 1), ('fchollet/deep-learning-with-python-notebooks', 0.5025471448898315, 'study', 0)]

19

3

null

5.04

212

134

11

0

42

156

42

212

354

90

1.7

61

1,821

llm

https://github.com/predibase/lorax

['fine-tuned', 'scale', 'gpu']

null

[]

null

predibase/lorax

lorax

671

52

19

Python

https://predibase.github.io/lorax/

Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs

predibase

2024-01-14

2023-10-20

14

46.04902

https://avatars.githubusercontent.com/u/75280641?v=4

Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs

['fine-tuning', 'gpt', 'llama', 'llm', 'llm-inference', 'llm-serving', 'llmops', 'lora', 'model-serving', 'pytorch', 'transformers']

['fine-tuned', 'fine-tuning', 'gpt', 'gpu', 'llama', 'llm', 'llm-inference', 'llm-serving', 'llmops', 'lora', 'model-serving', 'pytorch', 'scale', 'transformers']

2024-01-11

[('vllm-project/vllm', 0.7764987945556641, 'llm', 7), ('bentoml/openllm', 0.7207032442092896, 'ml-ops', 6), ('bigscience-workshop/petals', 0.6941356062889099, 'data', 3), ('ray-project/ray-llm', 0.6269615888595581, 'llm', 5), ('intel/intel-extension-for-transformers', 0.5878379940986633, 'perf', 2), ('tairov/llama2.mojo', 0.568372368812561, 'llm', 1), ('hiyouga/llama-efficient-tuning', 0.5675815939903259, 'llm', 6), ('hiyouga/llama-factory', 0.5675815343856812, 'llm', 6), ('microsoft/jarvis', 0.5660221576690674, 'llm', 1), ('h2oai/h2o-llmstudio', 0.5625096559524536, 'llm', 4), ('sjtu-ipads/powerinfer', 0.5567286014556885, 'llm', 3), ('eugeneyan/open-llms', 0.5560584664344788, 'study', 1), ('bobazooba/xllm', 0.5401611924171448, 'llm', 4), ('run-llama/llama-hub', 0.5340386629104614, 'data', 1), ('jerryjliu/llama_index', 0.5294747352600098, 'llm', 3), ('young-geng/easylm', 0.5218080878257751, 'llm', 1), ('salesforce/xgen', 0.5184742212295532, 'llm', 1), ('jzhang38/tinyllama', 0.5169039964675903, 'llm', 1), ('skypilot-org/skypilot', 0.5144446492195129, 'llm', 2), ('opengenerativeai/genossgpt', 0.5129587650299072, 'llm', 3), ('tloen/alpaca-lora', 0.507797122001648, 'llm', 1), ('titanml/takeoff', 0.50351482629776, 'llm', 2), ('lightning-ai/lit-gpt', 0.5018265247344971, 'llm', 1)]

40

5

null

9.62

181

145

3

0

12

53

12

181

318

90

1.8

61

91

web

https://github.com/tornadoweb/tornado

[]

null

[]

['tornado']

1

null

tornadoweb/tornado

tornado

21,397

5,574

994

Python

http://www.tornadoweb.org/

Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.

tornadoweb

2024-01-13

2009-09-09

750

28.496766

https://avatars.githubusercontent.com/u/7468980?v=4

Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.

['asynchronous']

2024-01-12

[('encode/starlette', 0.57993084192276, 'web', 0), ('pallets/quart', 0.5757850408554077, 'web', 0), ('python-trio/trio', 0.5695123076438904, 'perf', 0), ('agronholm/anyio', 0.5639466643333435, 'perf', 0), ('timofurrer/awesome-asyncio', 0.5469016432762146, 'study', 0), ('alirn76/panther', 0.5357459187507629, 'web', 0), ('aio-libs/aiohttp', 0.5350281596183777, 'web', 0), ('sumerc/yappi', 0.5336647629737854, 'profiling', 1), ('masoniteframework/masonite', 0.5226184725761414, 'web', 0), ('neoteroi/blacksheep', 0.5203468203544617, 'web', 0), ('klen/muffin', 0.5200356245040894, 'web', 0), ('airtai/faststream', 0.5190186500549316, 'perf', 0), ('bottlepy/bottle', 0.5174039006233215, 'web', 0), ('encode/httpx', 0.5143762230873108, 'web', 0), ('praw-dev/asyncpraw', 0.5063261389732361, 'ml-dl', 0)]

438

6

null

2.12

32

20

175

0

5

32

29

90

0.9

60

176

util

https://github.com/delgan/loguru

[]

null

[]

1

null

delgan/loguru

loguru

17,102

690

133

Python

null

Python logging made (stupidly) simple

delgan

2024-01-14

2017-08-15

337

50.747774

null

Python logging made (stupidly) simple

['log', 'logger', 'logging']

2024-01-10

[('metachris/logzero', 0.7877286672592163, 'util', 1), ('alexmojaki/snoop', 0.5699717998504639, 'debug', 1)]

52

1

null

2.1

88

43

78

0

3

88

183

90

2.1

60

1,292

llm

https://github.com/fauxpilot/fauxpilot

[]

null

[]

null

fauxpilot/fauxpilot

fauxpilot

13,782

602

123

Python

null

FauxPilot - an open-source alternative to GitHub Copilot server

fauxpilot

2024-01-14

2022-08-03

77

177.016514

https://avatars.githubusercontent.com/u/120729571?v=4

FauxPilot - an open-source alternative to GitHub Copilot server

[]

2023-05-29

[('fastai/ghapi', 0.5876653790473938, 'util', 0), ('mozillazg/pypy', 0.5119403004646301, 'util', 0)]

14

6

null

0.27

11

2

18

8

0

11

17

90

1.5

60

52

graph

https://github.com/networkx/networkx

[]

null

[]

null

networkx/networkx

networkx

13,757

3,154

274

Python

https://networkx.org

Network Analysis in Python

networkx

2024-01-14

2010-09-06

699

19.676951

https://avatars.githubusercontent.com/u/388785?v=4

Network Analysis in Python

['complex-networks', 'graph-algorithms', 'graph-analysis', 'graph-generation', 'graph-theory', 'graph-visualization', 'spec-0', 'spec-1', 'spec-4']

2024-01-13

[('pygraphviz/pygraphviz', 0.6983128786087036, 'viz', 3), ('graphistry/pygraphistry', 0.6410859823226929, 'data', 1), ('westhealth/pyvis', 0.6360735297203064, 'graph', 0), ('scikit-mobility/scikit-mobility', 0.614628255367279, 'gis', 0), ('artelys/geonetworkx', 0.5718642473220825, 'gis', 0), ('a-r-j/graphein', 0.5483938455581665, 'sim', 0), ('scikit-image/scikit-image', 0.5438209772109985, 'util', 3), ('keon/algorithms', 0.543645977973938, 'util', 0), ('stellargraph/stellargraph', 0.5425050258636475, 'graph', 1), ('kuanb/peartree', 0.532261312007904, 'gis', 0), ('ranaroussi/quantstats', 0.5321804881095886, 'finance', 0), ('h4kor/graph-force', 0.5262413620948792, 'graph', 1), ('plotly/plotly.py', 0.5152801275253296, 'viz', 0), ('thealgorithms/python', 0.5088640451431274, 'study', 0), ('secdev/scapy', 0.5021397471427917, 'util', 0), ('scipy/scipy', 0.5018213391304016, 'math', 0)]

703

2

null

7.6

303

230

163

0

4

7

4

303

572

90

1.9

60

319

gui

https://github.com/pysimplegui/pysimplegui

[]

null

[]

1

null

pysimplegui/pysimplegui

PySimpleGUI

12,925

1,788

231

Python

https://www.PySimpleGUI.com

Launched in 2018. It's 2023 and PySimpleGUI is actively developed & supported. Create complex windows simply. Supports tkinter, Qt, WxPython, Remi (in browser). Create GUI applications trivially with a full set of widgets. Multi-Window applications are also simple. 3.4 to 3.11 supported. 325+ Demo programs & Cookbook for rapid start. Extensive docs

pysimplegui

2024-01-14

2018-07-11

289

44.590931

null

Launched in 2018. It's 2023 and PySimpleGUI is actively developed & supported. Create complex windows simply. Supports tkinter, Qt, WxPython, Remi (in browser). Create GUI applications trivially with a full set of widgets. Multi-Window applications are also simple. 3.4 to 3.11 supported. 325+ Demo programs & Cookbook for rapid start. Extensive docs

['beginner-friendly', 'datavisualization', 'games', 'gui', 'gui-framework', 'gui-programming', 'gui-window', 'pyside2', 'pysimplegui', 'python-gui', 'qt', 'qt-gui', 'remi', 'systemtray', 'tkinter', 'tkinter-gui', 'tkinter-python', 'user-interface', 'wxpython']

2023-11-26

[('parthjadhav/tkinter-designer', 0.7242632508277893, 'gui', 4), ('wxwidgets/phoenix', 0.703073263168335, 'gui', 3), ('hoffstadt/dearpygui', 0.6711195111274719, 'gui', 2), ('r0x0r/pywebview', 0.6416908502578735, 'gui', 2), ('pyglet/pyglet', 0.624721884727478, 'gamedev', 0), ('beeware/toga', 0.6206801533699036, 'gui', 1), ('kivy/kivy', 0.600288450717926, 'util', 0), ('willmcgugan/textual', 0.589139997959137, 'term', 0), ('holoviz/panel', 0.5573893189430237, 'viz', 1), ('pypy/pypy', 0.5493513345718384, 'util', 0), ('jupyter-widgets/ipywidgets', 0.5297706127166748, 'jupyter', 0), ('urwid/urwid', 0.5266430974006653, 'term', 0), ('bokeh/bokeh', 0.5222162008285522, 'viz', 0), ('masoniteframework/masonite', 0.5136278867721558, 'web', 0), ('matplotlib/matplotlib', 0.5119383931159973, 'viz', 1), ('maartenbreddels/ipyvolume', 0.5105063319206238, 'jupyter', 0), ('voila-dashboards/voila', 0.5095065236091614, 'jupyter', 0), ('plotly/dash', 0.5075579285621643, 'viz', 1)]

18

4

null

2.46

134

89

67

2

1

2

134

455

90

3.4

60

174

term

https://github.com/tiangolo/typer

[]

null

[]

1

null

tiangolo/typer

typer

12,834

521

69

Python

https://typer.tiangolo.com/

Typer, build great CLIs. Easy to code. Based on Python type hints.

tiangolo

2024-01-14

2019-12-24

214

59.971963

null

Typer, build great CLIs. Easy to code. Based on Python type hints.

['cli', 'click', 'shell', 'terminal', 'typehints', 'typer']

2023-12-10

[('pyscript/pyscript-cli', 0.6438218355178833, 'web', 0), ('kellyjonbrazil/jc', 0.6338556408882141, 'util', 1), ('xonsh/xonsh', 0.614140510559082, 'util', 3), ('google/python-fire', 0.6071035265922546, 'term', 1), ('jquast/blessed', 0.5800941586494446, 'term', 2), ('python-poetry/cleo', 0.5780348777770996, 'term', 1), ('facebook/pyre-check', 0.5768271088600159, 'typing', 0), ('textualize/trogon', 0.5765345692634583, 'term', 3), ('tmbo/questionary', 0.5755541324615479, 'term', 1), ('pytoolz/toolz', 0.5614187121391296, 'util', 0), ('landscapeio/prospector', 0.558975100517273, 'util', 0), ('willmcgugan/rich', 0.5575374364852905, 'term', 1), ('python/cpython', 0.5462526082992554, 'util', 0), ('google/pytype', 0.5461122393608093, 'typing', 0), ('python/mypy', 0.5458303093910217, 'typing', 0), ('urwid/urwid', 0.5432376861572266, 'term', 0), ('astral-sh/ruff', 0.5375232100486755, 'util', 0), ('methexis-inc/terminal-copilot', 0.5327745079994202, 'util', 0), ('pexpect/pexpect', 0.5308032035827637, 'util', 0), ('pypy/pypy', 0.5274914503097534, 'util', 0), ('typesense/typesense-python', 0.5246941447257996, 'data', 0), ('agronholm/typeguard', 0.5242935419082642, 'typing', 0), ('hhatto/autopep8', 0.5092093348503113, 'util', 0), ('evhub/coconut', 0.5052512884140015, 'util', 0)]

37

4

null

0.62

58

15

49

1

2

6

2

58

108

90

1.9

60

1,106

data

https://github.com/redis/redis-py

[]

null

[]

null

redis/redis-py

redis-py

11,993

2,483

324

Python

null

Redis Python Client

redis

2024-01-13

2009-11-06

742

16.150635

https://avatars.githubusercontent.com/u/1529926?v=4

Redis Python Client

['redis', 'redis-client', 'redis-cluster', 'redis-py']

2024-01-11

[]

429

7

null

3.37

174

101

173

0

21

7

21

174

183

90

1.1

60

520

diffusion

https://github.com/lucidrains/dalle2-pytorch

[]

null

[]

null

lucidrains/dalle2-pytorch

DALLE2-pytorch

10,534

1,032

127

Python

null

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

lucidrains

2024-01-14

2022-04-07

94

111.218703

null

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

['artificial-intelligence', 'deep-learning', 'text-to-image']

2023-10-19

[('lucidrains/imagen-pytorch', 0.7950653433799744, 'ml-dl', 3), ('lucidrains/deep-daze', 0.631841242313385, 'ml', 3), ('fourthbrain/fastapi-for-machine-learning-live-demo', 0.6031858325004578, 'web', 1), ('saharmor/dalle-playground', 0.5927163362503052, 'diffusion', 2), ('openai/glide-text2im', 0.5790383219718933, 'diffusion', 0), ('sharonzhou/long_stable_diffusion', 0.5584306120872498, 'diffusion', 0), ('salesforce/blip', 0.5417680740356445, 'diffusion', 0), ('pytorch/ignite', 0.5412147641181946, 'ml-dl', 1), ('minimaxir/gpt-2-simple', 0.5398170948028564, 'llm', 0), ('minimaxir/textgenrnn', 0.5387126207351685, 'nlp', 1), ('pytorch-labs/gpt-fast', 0.5372596383094788, 'llm', 0), ('skorch-dev/skorch', 0.5362039804458618, 'ml-dl', 0), ('allenai/allennlp', 0.5331498384475708, 'nlp', 1), ('huggingface/diffusers', 0.532724142074585, 'diffusion', 1), ('hysts/pytorch_image_classification', 0.519826352596283, 'ml-dl', 0), ('alibaba/easynlp', 0.5197792649269104, 'nlp', 1), ('yoadtew/zero-shot-image-to-text', 0.5140002965927124, 'nlp', 0), ('laion-ai/dalle2-laion', 0.5131522417068481, 'diffusion', 1), ('open-mmlab/mmediting', 0.5127325654029846, 'ml', 1), ('denys88/rl_games', 0.5112625956535339, 'ml-rl', 1), ('google-research/electra', 0.5081148743629456, 'ml-dl', 1), ('intel/intel-extension-for-pytorch', 0.5061784982681274, 'perf', 1), ('nvlabs/gcvit', 0.5059126019477844, 'diffusion', 1), ('infinitylogesh/mutate', 0.5058514475822449, 'nlp', 0), ('karpathy/micrograd', 0.5032515525817871, 'study', 0)]

17

2

null

0.29

12

1

22

3

13

195

13

12

25

90

2.1

60

700

sim

https://github.com/isl-org/open3d

[]

null

[]

null

isl-org/open3d

Open3D

9,977

2,140

197

C++

http://www.open3d.org

Open3D: A Modern Library for 3D Data Processing

isl-org

2024-01-13

2016-12-02

373

26.707075

https://avatars.githubusercontent.com/u/23507030?v=4

Open3D: A Modern Library for 3D Data Processing

['3d', '3d-perception', 'arm', 'computer-graphics', 'cpp', 'cuda', 'gpu', 'gui', 'machine-learning', 'mesh-processing', 'odometry', 'opengl', 'pointcloud', 'pytorch', 'reconstruction', 'registration', 'rendering', 'tensorflow', 'visualization']

2024-01-05

[('facebookresearch/pytorch3d', 0.634926438331604, 'ml-dl', 0), ('kornia/kornia', 0.6128343939781189, 'ml-dl', 2), ('marcomusy/vedo', 0.6037029027938843, 'viz', 2), ('pyvista/pyvista', 0.5594555735588074, 'viz', 3), ('pokepetter/ursina', 0.5535932183265686, 'gamedev', 0), ('earthlab/earthpy', 0.5324108004570007, 'gis', 0), ('panda3d/panda3d', 0.5318998694419861, 'gamedev', 1), ('google/tf-quant-finance', 0.5206282138824463, 'finance', 2), ('dfki-ric/pytransform3d', 0.5204105377197266, 'math', 1), ('tensorlayer/tensorlayer', 0.5200856328010559, 'ml-rl', 1), ('polyaxon/datatile', 0.5179375410079956, 'pandas', 2), ('roboflow/supervision', 0.5120977759361267, 'ml', 3), ('raphaelquast/eomaps', 0.5115019679069519, 'gis', 1), ('geomstats/geomstats', 0.5070082545280457, 'math', 1), ('blackhc/toma', 0.5056933164596558, 'ml-dl', 3), ('domlysz/blendergis', 0.5055702924728394, 'gis', 1), ('cvxgrp/pymde', 0.5052924156188965, 'ml', 5), ('cupy/cupy', 0.5012453198432922, 'math', 2)]

217

6

null

2.29

280

120

87

0

2

3

2

280

370

90

1.3

60

1,446

testing

https://github.com/microsoft/playwright-python

['automation']

null

[]

null

microsoft/playwright-python

playwright-python

9,951

845

127

Python

https://playwright.dev/python/

Python version of the Playwright testing and automation library.

microsoft

2024-01-14

2020-07-01

186

53.254587

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

Python version of the Playwright testing and automation library.

['chromium', 'firefox', 'playwright', 'webkit']

['automation', 'chromium', 'firefox', 'playwright', 'webkit']

2024-01-10

[('seleniumbase/seleniumbase', 0.6941218972206116, 'testing', 2), ('cobrateam/splinter', 0.6916419267654419, 'testing', 1), ('masoniteframework/masonite', 0.549170970916748, 'web', 0), ('pexpect/pexpect', 0.5341052412986755, 'util', 1), ('r0x0r/pywebview', 0.5271952748298645, 'gui', 1), ('pyscript/pyscript-cli', 0.5237164497375488, 'web', 0), ('pytoolz/toolz', 0.5224789977073669, 'util', 0), ('eleutherai/pyfra', 0.5212807059288025, 'ml', 0), ('amaargiru/pyroad', 0.5205329060554504, 'study', 0), ('pytest-dev/pytest-bdd', 0.5180904865264893, 'testing', 0), ('pyscript/pyscript', 0.5149538516998291, 'web', 0), ('pyodide/pyodide', 0.5146863460540771, 'util', 0), ('nedbat/coveragepy', 0.5143460631370544, 'testing', 0), ('bokeh/bokeh', 0.510855495929718, 'viz', 0), ('urwid/urwid', 0.5090146660804749, 'term', 0), ('willmcgugan/textual', 0.5054807662963867, 'term', 0), ('webpy/webpy', 0.505174994468689, 'web', 0), ('hoffstadt/dearpygui', 0.5034270882606506, 'gui', 0)]

35

1

null

1.88

140

122

43

0

13

23

13

139

190

90

1.4

60

53

perf

https://github.com/numba/numba

[]

null

[]

null

numba/numba

numba

9,159

1,130

200

Python

http://numba.pydata.org/

NumPy aware dynamic Python compiler using LLVM

numba

2024-01-13

2012-03-08

620

14.755581

https://avatars.githubusercontent.com/u/1628082?v=4

NumPy aware dynamic Python compiler using LLVM

['compiler', 'cuda', 'llvm', 'numpy', 'parallel']

2023-12-14

[('exaloop/codon', 0.7364824414253235, 'perf', 2), ('google/jax', 0.6459792256355286, 'ml', 1), ('lcompilers/lpython', 0.603155255317688, 'util', 1), ('numba/llvmlite', 0.5931792855262756, 'util', 0), ('nvidia/tensorrt-llm', 0.5688282251358032, 'viz', 0), ('ipython/ipyparallel', 0.5564903020858765, 'perf', 1), ('cupy/cupy', 0.555233895778656, 'math', 2), ('nvidia/cuda-python', 0.5387571454048157, 'ml', 0), ('micropython/micropython', 0.5256375670433044, 'util', 0), ('pypy/pypy', 0.5218566656112671, 'util', 1), ('numpy/numpy', 0.5208587050437927, 'math', 1), ('hips/autograd', 0.5151181817054749, 'ml', 0), ('cython/cython', 0.504206120967865, 'util', 0)]

364

4

null

30.42

265

127

144

1

4

17

4

265

598

90

2.3

60

10

util

https://github.com/cython/cython

[]

null

[]

null

cython/cython

cython

8,636

1,516

240

Python

https://cython.org

The most widely used Python to C compiler

cython

2024-01-14

2010-11-21

688

12.547115

https://avatars.githubusercontent.com/u/486082?v=4

The most widely used Python to C compiler

['big-data', 'c', 'cpp', 'cpython', 'cpython-extensions', 'cython', 'performance']

2024-01-12

[('pypy/pypy', 0.8010214567184448, 'util', 1), ('exaloop/codon', 0.7081640958786011, 'perf', 0), ('python/cpython', 0.6992247700691223, 'util', 1), ('pyston/pyston', 0.6975716352462769, 'util', 0), ('lcompilers/lpython', 0.6913489699363708, 'util', 0), ('scikit-build/scikit-build', 0.6388826966285706, 'ml', 3), ('fastai/fastcore', 0.6373258829116821, 'util', 0), ('faster-cpython/tools', 0.6359994411468506, 'perf', 1), ('pytoolz/toolz', 0.5866791605949402, 'util', 0), ('micropython/micropython', 0.5850077271461487, 'util', 0), ('klen/py-frameworks-bench', 0.5801135301589966, 'perf', 0), ('faster-cpython/ideas', 0.5725173354148865, 'perf', 1), ('libtcod/python-tcod', 0.5713533759117126, 'gamedev', 0), ('joblib/joblib', 0.5678399801254272, 'util', 0), ('intel/intel-extension-for-pytorch', 0.5606357455253601, 'perf', 0), ('pandas-dev/pandas', 0.5577985048294067, 'pandas', 0), ('dylanhogg/awesome-python', 0.5576968193054199, 'study', 0), ('plasma-umass/scalene', 0.5566608905792236, 'profiling', 0), ('pyinfra-dev/pyinfra', 0.5551347732543945, 'util', 0), ('eleutherai/pyfra', 0.5548232793807983, 'ml', 0), ('spotify/annoy', 0.5542510151863098, 'ml', 0), ('ibis-project/ibis', 0.553461492061615, 'data', 0), ('krzjoa/awesome-python-data-science', 0.5530298352241516, 'study', 0), ('facebookincubator/cinder', 0.5495518445968628, 'perf', 1), ('pytables/pytables', 0.549433171749115, 'data', 0), ('hoffstadt/dearpygui', 0.5458163619041443, 'gui', 1), ('ipython/ipyparallel', 0.5451430678367615, 'perf', 0), ('pympler/pympler', 0.5429266691207886, 'perf', 0), ('pypa/hatch', 0.5406709313392639, 'util', 0), ('panda3d/panda3d', 0.5402704477310181, 'gamedev', 0), ('rustpython/rustpython', 0.5352054238319397, 'util', 0), ('google/jax', 0.5345306992530823, 'ml', 0), ('ultrajson/ultrajson', 0.5291088223457336, 'perf', 1), ('markshannon/faster-cpython', 0.5285276770591736, 'perf', 0), ('willmcgugan/textual', 0.52788907289505, 'term', 0), ('fredrik-johansson/mpmath', 0.527232825756073, 'math', 0), ('wesm/pydata-book', 0.5262758135795593, 'study', 0), ('pytoolz/cytoolz', 0.5252465009689331, 'util', 0), ('vaexio/vaex', 0.5234464406967163, 'perf', 0), ('scikit-hep/uproot5', 0.5226044058799744, 'data', 1), ('google/tf-quant-finance', 0.5225537419319153, 'finance', 0), ('numba/llvmlite', 0.5224786996841431, 'util', 0), ('adafruit/circuitpython', 0.5219005346298218, 'util', 1), ('fchollet/deep-learning-with-python-notebooks', 0.5218517780303955, 'study', 0), ('1200wd/bitcoinlib', 0.5212488770484924, 'crypto', 0), ('rubik/radon', 0.5208148956298828, 'util', 0), ('pytorch/glow', 0.5203021168708801, 'ml', 0), ('backtick-se/cowait', 0.5182483792304993, 'util', 0), ('timofurrer/awesome-asyncio', 0.5178491473197937, 'study', 0), ('pyo3/maturin', 0.5176377892494202, 'util', 1), ('samuelcolvin/python-devtools', 0.5175613164901733, 'debug', 0), ('dosisod/refurb', 0.5158920288085938, 'util', 0), ('thealgorithms/python', 0.5155187249183655, 'study', 0), ('p403n1x87/austin', 0.5145069360733032, 'profiling', 1), ('numpy/numpy', 0.5139519572257996, 'math', 0), ('eventual-inc/daft', 0.5138062238693237, 'pandas', 0), ('crunch-io/lazycsv', 0.5136982202529907, 'perf', 0), ('ipython/ipython', 0.5134088397026062, 'util', 0), ('pythonspeed/filprofiler', 0.5108945369720459, 'profiling', 0), ('pythonprofilers/memory_profiler', 0.5089790225028992, 'profiling', 0), ('sumerc/yappi', 0.5085721611976624, 'profiling', 1), ('lukaszahradnik/pyneuralogic', 0.5075069665908813, 'math', 0), ('connorferster/handcalcs', 0.5067312121391296, 'jupyter', 0), ('wxwidgets/phoenix', 0.5055117011070251, 'gui', 0), ('grantjenks/blue', 0.5051524043083191, 'util', 0), ('xonsh/xonsh', 0.5044435262680054, 'util', 0), ('numba/numba', 0.504206120967865, 'perf', 0), ('goldmansachs/gs-quant', 0.5038447380065918, 'finance', 0), ('openai/triton', 0.502590537071228, 'util', 0), ('tobymao/sqlglot', 0.5022580623626709, 'data', 0), ('facebook/pyre-check', 0.5014179944992065, 'typing', 0), ('imageio/imageio', 0.5013166666030884, 'util', 0), ('urwid/urwid', 0.5010424852371216, 'term', 0)]

516

4

null

14.48

262

160

0

19

15

19

262

591

90

2.3

60

7

util

https://github.com/boto/boto3

[]

null

[]

null

boto/boto3

boto3

8,518

1,865

241

Python

https://aws.amazon.com/sdk-for-python/

AWS SDK for Python

boto

2024-01-13

2014-10-03

486

17.506166

https://avatars.githubusercontent.com/u/327752?v=4

AWS SDK for Python

['aws', 'aws-sdk', 'cloud', 'cloud-management']

2024-01-14

[('samuelcolvin/aioaws', 0.6758776307106018, 'data', 1), ('aws/chalice', 0.66681307554245, 'web', 2), ('nficano/python-lambda', 0.6395252346992493, 'util', 1), ('aws/aws-lambda-python-runtime-interface-client', 0.6017659902572632, 'util', 0), ('jordaneremieff/mangum', 0.589402973651886, 'web', 1), ('awslabs/python-deequ', 0.5848604440689087, 'ml', 1), ('geeogi/async-python-lambda-template', 0.5832446813583374, 'template', 0), ('pynamodb/pynamodb', 0.5776386857032776, 'data', 1), ('drivendataorg/cloudpathlib', 0.5708515644073486, 'data', 0), ('backtick-se/cowait', 0.5623748302459717, 'util', 0), ('localstack/localstack', 0.5544808506965637, 'util', 2), ('aws-samples/sagemaker-ssh-helper', 0.5350908637046814, 'util', 1), ('aws/aws-sdk-pandas', 0.5303450226783752, 'pandas', 1), ('sentinel-hub/sentinelhub-py', 0.5275383591651917, 'gis', 1), ('prefecthq/prefect-aws', 0.5230756402015686, 'data', 1), ('amzn/ion-python', 0.5133451223373413, 'data', 0)]

153

4

null

10.52

155

119

113

0

158

155

286

90

1.8

60

71

ml

https://github.com/pymc-devs/pymc3

[]

null

[]

null

pymc-devs/pymc3

pymc

7,970

1,914

227

Python

https://docs.pymc.io/

Bayesian Modeling and Probabilistic Programming in Python

pymc-devs

2024-01-13

2009-05-05

769

10.364109

https://avatars.githubusercontent.com/u/81121?v=4

Bayesian Modeling and Probabilistic Programming in Python

['bayesian-inference', 'mcmc', 'probabilistic-programming', 'pytensor', 'statistical-analysis', 'variational-inference']

2024-01-12

[('pyro-ppl/pyro', 0.6964523792266846, 'ml-dl', 3), ('probml/pyprobml', 0.6565049886703491, 'ml', 1), ('crflynn/stochastic', 0.6376107335090637, 'sim', 0), ('uber/orbit', 0.6276130080223083, 'time-series', 1), ('bayesianmodelingandcomputationinpython/bookcode_edition1', 0.6229053735733032, 'study', 0), ('scikit-learn/scikit-learn', 0.6052919030189514, 'ml', 0), ('awslabs/gluonts', 0.593370795249939, 'time-series', 0), ('infer-actively/pymdp', 0.5866931080818176, 'ml', 0), ('scikit-optimize/scikit-optimize', 0.5821582674980164, 'ml', 0), ('guyallard/markov_clustering', 0.5610766410827637, 'graph', 0), ('stan-dev/pystan', 0.5608965158462524, 'ml', 0), ('statsmodels/statsmodels', 0.5598034858703613, 'ml', 0), ('quantopian/pyfolio', 0.5452370047569275, 'finance', 0), ('shangtongzhang/reinforcement-learning-an-introduction', 0.5400987863540649, 'study', 0), ('pytorch/botorch', 0.5349946618080139, 'ml-dl', 0), ('artemyk/dynpy', 0.5243752002716064, 'sim', 0), ('eleutherai/pyfra', 0.5232195854187012, 'ml', 0), ('sympy/sympy', 0.5158290863037109, 'math', 0), ('goldmansachs/gs-quant', 0.5136345028877258, 'finance', 0), ('selfexplainml/piml-toolbox', 0.5050045847892761, 'ml-interpretability', 0), ('gerdm/prml', 0.5029430985450745, 'study', 0), ('pyomo/pyomo', 0.5023778080940247, 'math', 0)]

474

6

null

6.98

191

99

179

0

25

6

25

191

573

90

3

60

1,317

ml-dl

https://github.com/facebookresearch/imagebind

['pytorch', 'multimodal', 'embeddings']

null

[]

null

facebookresearch/imagebind

ImageBind

7,541

666

100

Python

null

ImageBind One Embedding Space to Bind Them All

facebookresearch

2024-01-13

2023-03-23

44

168.648562

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

ImageBind One Embedding Space to Bind Them All

[]

['embeddings', 'multimodal', 'pytorch']

2023-11-29

[]

15

6

null

0.37

20

5

10

2

0

20

16

90

0.8

60

1,070

llm

https://github.com/nvidia/megatron-lm

[]

null

[]

null

nvidia/megatron-lm

Megatron-LM

7,504

1,701

143

Python

null

Ongoing research training transformer models at scale

nvidia

2024-01-13

2019-03-21

253

29.576577

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

Ongoing research training transformer models at scale

[]

2024-01-12

[('bigscience-workshop/megatron-deepspeed', 0.6671424508094788, 'llm', 0), ('microsoft/megatron-deepspeed', 0.6671424508094788, 'llm', 0), ('alignmentresearch/tuned-lens', 0.6293410658836365, 'ml-interpretability', 0), ('eleutherai/knowledge-neurons', 0.5722100138664246, 'ml-interpretability', 0), ('karpathy/mingpt', 0.5354270935058594, 'llm', 0), ('lvwerra/trl', 0.5321753025054932, 'llm', 0), ('opengeos/earthformer', 0.507581353187561, 'gis', 0), ('huggingface/optimum', 0.501192569732666, 'ml', 0)]

118

2

null

21.87

185

45

59

0

3

4

3

184

288

90

1.6

60

1,554

util

https://github.com/kellyjonbrazil/jc

['serialization', 'jq']

null

[]

null

kellyjonbrazil/jc

jc

7,298

180

29

Python

null

CLI tool and python library that converts the output of popular command-line tools, file-types, and common strings to JSON, YAML, or Dictionaries. This allows piping of output to tools like jq and simplifying automation scripts.

kellyjonbrazil

2024-01-14

2019-10-15

224

32.580357

null

CLI tool and python library that converts the output of popular command-line tools, file-types, and common strings to JSON, YAML, or Dictionaries. This allows piping of output to tools like jq and simplifying automation scripts.

['bash', 'bash-scripting', 'cli', 'command-line', 'command-line-interface', 'command-line-tool', 'convert', 'json', 'linux', 'parsers', 'scripting', 'serialize', 'shell-scripting', 'yaml']

['bash', 'bash-scripting', 'cli', 'command-line', 'command-line-interface', 'command-line-tool', 'convert', 'jq', 'json', 'linux', 'parsers', 'scripting', 'serialization', 'serialize', 'shell-scripting', 'yaml']

2023-12-21

[('kellyjonbrazil/jello', 0.7774760127067566, 'util', 10), ('google/python-fire', 0.6432965397834778, 'term', 1), ('tiangolo/typer', 0.6338556408882141, 'term', 1), ('python-poetry/cleo', 0.6012207269668579, 'term', 2), ('pyscript/pyscript-cli', 0.5959556102752686, 'web', 0), ('xonsh/xonsh', 0.5756747722625732, 'util', 3), ('thoth-station/micropipenv', 0.5520144701004028, 'util', 0), ('deeplook/sparklines', 0.529207170009613, 'term', 1), ('wandb/client', 0.5254802703857422, 'ml', 0), ('samuelcolvin/python-devtools', 0.5224640369415283, 'debug', 0), ('python-odin/odin', 0.5191496014595032, 'util', 3), ('hadialqattan/pycln', 0.5115851163864136, 'util', 0), ('urwid/urwid', 0.5103952884674072, 'term', 0), ('jquast/blessed', 0.5097572207450867, 'term', 1), ('nteract/papermill', 0.5040388703346252, 'jupyter', 0), ('pytoolz/toolz', 0.503423810005188, 'util', 0)]

41

2

null

4.48

76

51

52

1

8

25

8

76

287

90

3.8

60

279

nlp

https://github.com/maartengr/bertopic

[]

null

[]

null

maartengr/bertopic

BERTopic

5,143

647

48

Python

https://maartengr.github.io/BERTopic/

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

maartengr

2024-01-13

2020-09-22

175

29.388571

null

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

['bert', 'ldavis', 'machine-learning', 'nlp', 'sentence-embeddings', 'topic', 'topic-modeling', 'topic-modelling', 'topic-models', 'transformers']

2024-01-10

[('ddangelov/top2vec', 0.6046782732009888, 'nlp', 3), ('paddlepaddle/paddlenlp', 0.6038503050804138, 'llm', 3), ('jonasgeiping/cramming', 0.5925445556640625, 'nlp', 1), ('rare-technologies/gensim', 0.5905485153198242, 'nlp', 3), ('sebischair/lbl2vec', 0.5893922448158264, 'nlp', 2), ('alibaba/easynlp', 0.5850814580917358, 'nlp', 4), ('llmware-ai/llmware', 0.5808184742927551, 'llm', 4), ('deepset-ai/farm', 0.5806211233139038, 'nlp', 2), ('extreme-bert/extreme-bert', 0.5704385042190552, 'llm', 3), ('graykode/nlp-tutorial', 0.5367704629898071, 'study', 2), ('huggingface/text-generation-inference', 0.5277509093284607, 'llm', 1), ('koaning/whatlies', 0.5192699432373047, 'nlp', 1), ('jalammar/ecco', 0.5192667841911316, 'ml-interpretability', 1), ('norskregnesentral/skweak', 0.5178706645965576, 'nlp', 0), ('flairnlp/flair', 0.5175113677978516, 'nlp', 2), ('qanastek/drbert', 0.51610267162323, 'llm', 3), ('huggingface/transformers', 0.5144845843315125, 'nlp', 3), ('maartengr/keybert', 0.5103285908699036, 'nlp', 1), ('jina-ai/clip-as-service', 0.5079023838043213, 'nlp', 1), ('bigscience-workshop/biomedical', 0.5077448487281799, 'data', 0), ('explosion/spacy-llm', 0.507010817527771, 'llm', 2), ('jina-ai/finetuner', 0.5031505227088928, 'ml', 1)]

50

4

null

1.29

185

94

40

0

4

9

4

185

603

90

3.3

60

722

ml-dl

https://github.com/mosaicml/composer

[]

null

[]

null

mosaicml/composer

composer

4,781

384

48

Python

http://docs.mosaicml.com

Supercharge Your Model Training

mosaicml

2024-01-13

2021-10-12

120

39.841667

https://avatars.githubusercontent.com/u/75143706?v=4

Supercharge Your Model Training

['deep-learning', 'machine-learning', 'ml-efficiency', 'ml-systems', 'ml-training', 'neural-network', 'neural-networks', 'pytorch']

2024-01-14

[('ddbourgin/numpy-ml', 0.6701366305351257, 'ml', 2), ('huggingface/datasets', 0.6692463159561157, 'nlp', 3), ('keras-team/keras', 0.6608446836471558, 'ml-dl', 4), ('onnx/onnx', 0.6314774751663208, 'ml', 4), ('explosion/thinc', 0.6281270980834961, 'ml-dl', 3), ('neuralmagic/sparseml', 0.6215312480926514, 'ml-dl', 1), ('tensorflow/tensorflow', 0.6187223792076111, 'ml-dl', 3), ('huggingface/transformers', 0.6106983423233032, 'nlp', 3), ('lutzroeder/netron', 0.6044427156448364, 'ml', 4), ('hpcaitech/colossalai', 0.5992001891136169, 'llm', 1), ('xplainable/xplainable', 0.5985530614852905, 'ml-interpretability', 1), ('tensorflow/tensor2tensor', 0.5954499244689941, 'ml', 2), ('microsoft/nni', 0.5946601629257202, 'ml', 4), ('alpa-projects/alpa', 0.5876685976982117, 'ml-dl', 2), ('huggingface/autotrain-advanced', 0.5858451724052429, 'ml', 2), ('rwightman/pytorch-image-models', 0.5846765041351318, 'ml-dl', 1), ('google/trax', 0.5817326307296753, 'ml-dl', 2), ('interpretml/interpret', 0.5779016613960266, 'ml-interpretability', 1), ('nccr-itmo/fedot', 0.5770966410636902, 'ml-ops', 1), ('superduperdb/superduperdb', 0.5755331516265869, 'data', 1), ('pytorch/ignite', 0.5748881101608276, 'ml-dl', 4), ('bentoml/bentoml', 0.574347198009491, 'ml-ops', 2), ('ludwig-ai/ludwig', 0.5734363794326782, 'ml-ops', 4), ('amanchadha/coursera-deep-learning-specialization', 0.5713127255439758, 'study', 3), ('neuralmagic/deepsparse', 0.5704326033592224, 'nlp', 0), ('aiqc/aiqc', 0.5669575333595276, 'ml-ops', 0), ('microsoft/onnxruntime', 0.5664753317832947, 'ml', 4), ('nvidia/deeplearningexamples', 0.5654811859130859, 'ml-dl', 2), ('keras-rl/keras-rl', 0.5626094341278076, 'ml-rl', 2), ('mlflow/mlflow', 0.5622864365577698, 'ml-ops', 1), ('awslabs/autogluon', 0.554071307182312, 'ml', 3), ('determined-ai/determined', 0.5523366332054138, 'ml-ops', 3), ('microsoft/deepspeed', 0.5493502616882324, 'ml-dl', 3), ('rasbt/deeplearning-models', 0.5479599833488464, 'ml-dl', 0), ('keras-team/autokeras', 0.5466687083244324, 'ml-dl', 2), ('rafiqhasan/auto-tensorflow', 0.5446411967277527, 'ml-dl', 2), ('kevinmusgrave/pytorch-metric-learning', 0.5446270108222961, 'ml', 3), ('slundberg/shap', 0.5438055396080017, 'ml-interpretability', 2), ('shankarpandala/lazypredict', 0.5417070984840393, 'ml', 1), ('ashleve/lightning-hydra-template', 0.5401220917701721, 'util', 2), ('deepchecks/deepchecks', 0.5395089387893677, 'data', 3), ('blackhc/toma', 0.5379732251167297, 'ml-dl', 2), ('christoschristofidis/awesome-deep-learning', 0.5376695990562439, 'study', 3), ('feast-dev/feast', 0.535942554473877, 'ml-ops', 1), ('polyaxon/polyaxon', 0.5328403115272522, 'ml-ops', 3), ('xl0/lovely-tensors', 0.5325333476066589, 'ml-dl', 2), ('fepegar/torchio', 0.5322839617729187, 'ml-dl', 3), ('ourownstory/neural_prophet', 0.5314452052116394, 'ml', 4), ('pytorchlightning/pytorch-lightning', 0.5314188599586487, 'ml-dl', 3), ('automl/auto-sklearn', 0.5304707288742065, 'ml', 0), ('apple/coremltools', 0.5304659605026245, 'ml', 2), ('winedarksea/autots', 0.5297396183013916, 'time-series', 2), ('roboflow/supervision', 0.529486894607544, 'ml', 3), ('cdpierse/transformers-interpret', 0.5288192629814148, 'ml-interpretability', 3), ('ml-tooling/opyrator', 0.5281829833984375, 'viz', 1), ('opentensor/bittensor', 0.5280351042747498, 'ml', 4), ('csinva/imodels', 0.5268099904060364, 'ml', 1), ('open-mmlab/mmediting', 0.5261213183403015, 'ml', 2), ('googlecloudplatform/vertex-ai-samples', 0.525791585445404, 'ml', 0), ('oegedijk/explainerdashboard', 0.5244570374488831, 'ml-interpretability', 0), ('denys88/rl_games', 0.5201303958892822, 'ml-rl', 2), ('intel/intel-extension-for-pytorch', 0.5193430185317993, 'perf', 4), ('pytorch/captum', 0.5189915299415588, 'ml-interpretability', 0), ('bigscience-workshop/petals', 0.5181496143341064, 'data', 4), ('aleju/imgaug', 0.517113983631134, 'ml', 2), ('karpathy/micrograd', 0.517072856426239, 'study', 0), ('tensorly/tensorly', 0.5158124566078186, 'ml-dl', 2), ('nyandwi/modernconvnets', 0.5126325488090515, 'ml-dl', 1), ('lucidrains/toolformer-pytorch', 0.5117185115814209, 'llm', 1), ('horovod/horovod', 0.5103276371955872, 'ml-ops', 3), ('roboflow/notebooks', 0.5099112391471863, 'study', 3), ('districtdatalabs/yellowbrick', 0.5096165537834167, 'ml', 1), ('deepfakes/faceswap', 0.5090040564537048, 'ml-dl', 3), ('ray-project/ray', 0.5085017085075378, 'ml-ops', 3), ('towhee-io/towhee', 0.5076751112937927, 'ml-ops', 1), ('mrdbourke/pytorch-deep-learning', 0.5073535442352295, 'study', 3), ('huggingface/exporters', 0.5061023235321045, 'ml', 3), ('mlc-ai/mlc-llm', 0.5053991675376892, 'llm', 0), ('uber/petastorm', 0.5039240121841431, 'data', 3), ('deci-ai/super-gradients', 0.5038636326789856, 'ml-dl', 3), ('activeloopai/deeplake', 0.5032862424850464, 'ml-ops', 3), ('milvus-io/bootcamp', 0.5024623870849609, 'data', 1), ('karpathy/nn-zero-to-hero', 0.5013008713722229, 'study', 0), ('huggingface/optimum', 0.5008224248886108, 'ml', 1)]

94

2

null

11.62

243

215

27

0

19

22

19

243

173

90

0.7

60

709

ml-ops

https://github.com/flyteorg/flyte

[]

null

[]

null

flyteorg/flyte

flyte

4,341

460

261

Go

https://flyte.org

Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.

flyteorg

2024-01-14

2019-10-21

223

19.453905

https://avatars.githubusercontent.com/u/35380635?v=4

Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.

['data', 'data-analysis', 'data-science', 'dataops', 'declarative', 'fine-tuning', 'flyte', 'golang', 'grpc', 'kubernetes', 'kubernetes-operator', 'llm', 'machine-learning', 'mlops', 'orchestration-engine', 'production', 'production-grade', 'scale', 'workflow']

2024-01-12

[('kestra-io/kestra', 0.7973306775093079, 'ml-ops', 2), ('dagster-io/dagster', 0.7850085496902466, 'ml-ops', 3), ('bodywork-ml/bodywork-core', 0.6820202469825745, 'ml-ops', 4), ('polyaxon/polyaxon', 0.6784146428108215, 'ml-ops', 5), ('mage-ai/mage-ai', 0.6692841053009033, 'ml-ops', 3), ('apache/airflow', 0.6581413745880127, 'ml-ops', 4), ('orchest/orchest', 0.6491807699203491, 'ml-ops', 3), ('prefecthq/prefect', 0.6408464312553406, 'ml-ops', 3), ('getindata/kedro-kubeflow', 0.6279534697532654, 'ml-ops', 1), ('kubeflow/pipelines', 0.6268972754478455, 'ml-ops', 4), ('airbytehq/airbyte', 0.6267026662826538, 'data', 2), ('backtick-se/cowait', 0.6116994023323059, 'util', 2), ('netflix/metaflow', 0.608452320098877, 'ml-ops', 4), ('prefecthq/server', 0.6038605570793152, 'util', 1), ('avaiga/taipy', 0.6026946902275085, 'data', 2), ('meltano/meltano', 0.5828467607498169, 'ml-ops', 2), ('lithops-cloud/lithops', 0.5794029235839844, 'ml-ops', 1), ('ploomber/ploomber', 0.5782303214073181, 'ml-ops', 4), ('zenml-io/zenml', 0.5718936324119568, 'ml-ops', 5), ('astronomer/astro-sdk', 0.5711103081703186, 'ml-ops', 2), ('kubeflow-kale/kale', 0.5685352683067322, 'ml-ops', 1), ('skypilot-org/skypilot', 0.5598949790000916, 'llm', 2), ('chaostoolkit/chaostoolkit', 0.5509274005889893, 'util', 0), ('fugue-project/fugue', 0.5496802926063538, 'pandas', 1), ('dagworks-inc/hamilton', 0.549081027507782, 'ml-ops', 4), ('allegroai/clearml', 0.5446012616157532, 'ml-ops', 2), ('merantix-momentum/squirrel-core', 0.5294408798217773, 'ml', 3), ('gefyrahq/gefyra', 0.5291821956634521, 'util', 1), ('spotify/luigi', 0.5278602242469788, 'ml-ops', 0), ('modin-project/modin', 0.5223826169967651, 'perf', 1), ('apache/spark', 0.5193337202072144, 'data', 0), ('unionai-oss/unionml', 0.5188993215560913, 'ml-ops', 2), ('tiangolo/full-stack-fastapi-postgresql', 0.5061784386634827, 'template', 0), ('pathwaycom/pathway', 0.503392219543457, 'data', 0), ('featureform/embeddinghub', 0.5021466612815857, 'nlp', 3), ('polyaxon/datatile', 0.5018032789230347, 'pandas', 3), ('bentoml/bentoml', 0.5007025599479675, 'ml-ops', 3)]

198

4

null

11.79

1,217

503

52

0

21

106

21

1,213

1,310

90

1.1

60

440

gis

https://github.com/osgeo/gdal

[]

null

[]

null

osgeo/gdal

gdal

4,275

2,286

167

C++

https://gdal.org

GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.

osgeo

2024-01-13

2012-10-09

590

7.245763

https://avatars.githubusercontent.com/u/1058467?v=4

GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.

['geospatial-data', 'raster', 'remote-sensing', 'vector']

2024-01-13

[('remotesensinglab/raster4ml', 0.6307851076126099, 'gis', 2), ('earthlab/earthpy', 0.5730497241020203, 'gis', 2), ('perrygeo/python-rasterstats', 0.5707691311836243, 'gis', 0), ('microsoft/torchgeo', 0.5599908828735352, 'gis', 1), ('osgeo/grass', 0.5594460368156433, 'gis', 3), ('corteva/rioxarray', 0.5278557538986206, 'gis', 1), ('cogeotiff/rio-tiler', 0.5156446099281311, 'gis', 1), ('residentmario/geoplot', 0.5153622627258301, 'gis', 1)]

562

6

null

70.27

578

506

137

0

11

15

11

578

1,053

90

1.8

60

978

sim

https://github.com/astropy/astropy

[]

null

[]

null

astropy/astropy

astropy

4,079

1,687

139

Python

https://www.astropy.org

Astronomy and astrophysics core library

astropy

2024-01-14

2011-07-21

653

6.239729

https://avatars.githubusercontent.com/u/847984?v=4

Astronomy and astrophysics core library

['astronomy', 'astrophysics', 'astropy', 'science']

2024-01-13

[('roban/cosmolopy', 0.5209611654281616, 'sim', 1)]

514

7

null

37.42

561

395

152

0

9

12

9

561

2,172

90

3.9

60

1,820

ml

https://github.com/google-deepmind/graphcast

['forecasting']

GraphCast: Learning skillful medium-range global weather forecasting

[]

null

google-deepmind/graphcast

graphcast

3,312

358

56

Python

null

google-deepmind

2024-01-14

2023-07-14

28

115.92

https://avatars.githubusercontent.com/u/8596759?v=4

GraphCast: Learning skillful medium-range global weather forecasting

['weather', 'weather-forecast']

['forecasting', 'weather', 'weather-forecast']

2024-01-05

[]

8

2

null

0.29

45

17

6

0

1

2

1

45

125

90

2.8

60

1,879

data

https://github.com/avaiga/taipy

[]

null

[]

null

avaiga/taipy

taipy

2,952

237

30

Python

https://www.taipy.io

Turns Data and AI algorithms into production-ready web applications in no time.

avaiga

2024-01-14

2022-02-18

101

29.063291

https://avatars.githubusercontent.com/u/86434771?v=4

Turns Data and AI algorithms into production-ready web applications in no time.

['automation', 'data-engineering', 'data-ops', 'data-visualization', 'datascience', 'developer-tools', 'hacktoberfest2023', 'mlops', 'orchestration', 'pipeline', 'pipelines', 'taipy-core', 'taipy-gui', 'workflow']

2024-01-14

[('bentoml/bentoml', 0.6463702321052551, 'ml-ops', 1), ('netflix/metaflow', 0.6367209553718567, 'ml-ops', 2), ('ploomber/ploomber', 0.6359885334968567, 'ml-ops', 4), ('mage-ai/mage-ai', 0.6288012266159058, 'ml-ops', 4), ('dagster-io/dagster', 0.6245914101600647, 'ml-ops', 4), ('orchest/orchest', 0.6196687817573547, 'ml-ops', 1), ('ml-tooling/opyrator', 0.617566704750061, 'viz', 0), ('kestra-io/kestra', 0.6105530858039856, 'ml-ops', 4), ('lastmile-ai/aiconfig', 0.6097587943077087, 'util', 1), ('meltano/meltano', 0.608718752861023, 'ml-ops', 2), ('polyaxon/polyaxon', 0.6045488119125366, 'ml-ops', 3), ('sweepai/sweep', 0.6026955842971802, 'llm', 1), ('flyteorg/flyte', 0.6026946902275085, 'ml-ops', 2), ('zenml-io/zenml', 0.5993794202804565, 'ml-ops', 3), ('pythagora-io/gpt-pilot', 0.5966109037399292, 'llm', 1), ('cheshire-cat-ai/core', 0.5955442786216736, 'llm', 0), ('prefecthq/server', 0.5884959697723389, 'util', 3), ('dagworks-inc/hamilton', 0.5867727994918823, 'ml-ops', 3), ('polyaxon/datatile', 0.5837622880935669, 'pandas', 2), ('superduperdb/superduperdb', 0.5622673034667969, 'data', 1), ('pathwaycom/llm-app', 0.5616130232810974, 'llm', 0), ('fmind/mlops-python-package', 0.5603728890419006, 'template', 1), ('pydoit/doit', 0.5572507977485657, 'util', 1), ('allegroai/clearml', 0.5540127158164978, 'ml-ops', 1), ('mindsdb/mindsdb', 0.5504463315010071, 'data', 0), ('airbytehq/airbyte', 0.5423561334609985, 'data', 2), ('prefecthq/marvin', 0.5397293567657471, 'nlp', 0), ('apache/airflow', 0.5394763946533203, 'ml-ops', 5), ('mlc-ai/mlc-llm', 0.5353958010673523, 'llm', 0), ('microsoft/promptflow', 0.5334009528160095, 'llm', 0), ('tiangolo/full-stack-fastapi-postgresql', 0.5292978286743164, 'template', 0), ('merantix-momentum/squirrel-core', 0.5268411636352539, 'ml', 0), ('alirezadir/machine-learning-interview-enlightener', 0.5267717242240906, 'study', 0), ('microsoft/lmops', 0.5267688632011414, 'llm', 0), ('googlecloudplatform/vertex-ai-samples', 0.5246182680130005, 'ml', 1), ('huggingface/datasets', 0.5236226916313171, 'nlp', 0), ('hi-primus/optimus', 0.5233602523803711, 'ml-ops', 0), ('iterative/dvc', 0.5210314989089966, 'ml-ops', 1), ('featureform/embeddinghub', 0.5199906229972839, 'nlp', 1), ('drivendata/cookiecutter-data-science', 0.519536018371582, 'template', 0), ('chaostoolkit/chaostoolkit', 0.5186023712158203, 'util', 1), ('feast-dev/feast', 0.5180974006652832, 'ml-ops', 2), ('wandb/client', 0.5176960825920105, 'ml', 1), ('bodywork-ml/bodywork-core', 0.5173805952072144, 'ml-ops', 3), ('reloadware/reloadium', 0.5162569284439087, 'profiling', 0), ('streamlit/streamlit', 0.5149668455123901, 'viz', 2), ('whylabs/whylogs', 0.5133393406867981, 'util', 1), ('fugue-project/fugue', 0.5130361318588257, 'pandas', 0), ('antonosika/gpt-engineer', 0.5112882852554321, 'llm', 0), ('hpcaitech/colossalai', 0.5108974575996399, 'llm', 0), ('mlflow/mlflow', 0.5100282430648804, 'ml-ops', 0), ('plotly/dash', 0.5096752047538757, 'viz', 1), ('tox-dev/tox', 0.5081842541694641, 'testing', 1), ('activeloopai/deeplake', 0.5062883496284485, 'ml-ops', 1), ('explosion/thinc', 0.5057910680770874, 'ml-dl', 0), ('backtick-se/cowait', 0.5056573152542114, 'util', 1), ('willmcgugan/textual', 0.5015890002250671, 'term', 0)]

46

3

null

37.62

382

214

23

0

12

8

12

382

366

90

1

60

434

nlp

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

[]

null

[]

null

argilla-io/argilla

argilla

2,823

284

24

Python

https://docs.argilla.io

✨Argilla: the open-source feedback platform for LLMs

argilla-io

2024-01-14

2021-04-28

143

19.623635

https://avatars.githubusercontent.com/u/18415507?v=4

✨Argilla: the open-source feedback platform for LLMs

['active-learning', 'ai', 'annotation-tool', 'developer-tools', 'gpt-4', 'human-in-the-loop', 'langchain', 'llm', 'machine-learning', 'mlops', 'natural-language-processing', 'nlp', 'rlhf', 'text-annotation', 'text-labeling', 'weak-supervision', 'weakly-supervised-learning']

2024-01-12

[('explosion/spacy-llm', 0.6727258563041687, 'llm', 5), ('tigerlab-ai/tiger', 0.6661051511764526, 'llm', 1), ('doccano/doccano', 0.6546259522438049, 'nlp', 4), ('hegelai/prompttools', 0.644296407699585, 'llm', 2), ('mooler0410/llmspracticalguide', 0.6409274935722351, 'study', 2), ('rasahq/rasa', 0.6305766105651855, 'llm', 3), ('norskregnesentral/skweak', 0.6235673427581787, 'nlp', 2), ('agenta-ai/agenta', 0.6207625269889832, 'llm', 2), ('llmware-ai/llmware', 0.6205747723579407, 'llm', 3), ('night-chen/toolqa', 0.6075721979141235, 'llm', 0), ('paddlepaddle/paddlenlp', 0.6045259833335876, 'llm', 2), ('alpha-vllm/llama2-accessory', 0.6045132875442505, 'llm', 0), ('nebuly-ai/nebullvm', 0.6039616465568542, 'perf', 2), ('aiwaves-cn/agents', 0.5958381295204163, 'nlp', 1), ('lm-sys/fastchat', 0.5902546644210815, 'llm', 0), ('nomic-ai/gpt4all', 0.5886470079421997, 'llm', 0), ('iryna-kondr/scikit-llm', 0.5834850668907166, 'llm', 2), ('embedchain/embedchain', 0.5823776721954346, 'llm', 2), ('young-geng/easylm', 0.5817759037017822, 'llm', 1), ('pathwaycom/llm-app', 0.5815805792808533, 'llm', 2), ('h2oai/h2o-llmstudio', 0.5786020159721375, 'llm', 2), ('openbmb/toolbench', 0.5743700265884399, 'llm', 0), ('confident-ai/deepeval', 0.5710536241531372, 'testing', 1), ('infinitylogesh/mutate', 0.5702595114707947, 'nlp', 0), ('deepset-ai/haystack', 0.5678386688232422, 'llm', 3), ('microsoft/lmops', 0.5673712491989136, 'llm', 2), ('openlmlab/moss', 0.5668735504150391, 'llm', 1), ('nltk/nltk', 0.5657547116279602, 'nlp', 3), ('salesforce/codet5', 0.5648234486579895, 'nlp', 0), ('microsoft/promptflow', 0.555797815322876, 'llm', 2), ('databrickslabs/dolly', 0.5544888973236084, 'llm', 0), ('bigscience-workshop/petals', 0.5500335097312927, 'data', 2), ('bobazooba/xllm', 0.5486025214195251, 'llm', 2), ('ai4finance-foundation/fingpt', 0.5461266040802002, 'finance', 3), ('salesforce/xgen', 0.544439971446991, 'llm', 2), ('bentoml/openllm', 0.5431055426597595, 'ml-ops', 3), ('mlflow/mlflow', 0.5428063869476318, 'ml-ops', 2), ('conceptofmind/toolformer', 0.5423489809036255, 'llm', 0), ('eleutherai/the-pile', 0.542231023311615, 'data', 1), ('google-research/language', 0.5392791628837585, 'nlp', 2), ('cheshire-cat-ai/core', 0.5388045907020569, 'llm', 2), ('allenai/allennlp', 0.5366323590278625, 'nlp', 2), ('microsoft/autogen', 0.5329903364181519, 'llm', 1), ('rcgai/simplyretrieve', 0.5302114486694336, 'llm', 3), ('microsoft/generative-ai-for-beginners', 0.5287173390388489, 'study', 1), ('microsoft/jarvis', 0.5283769369125366, 'llm', 0), ('ludwig-ai/ludwig', 0.5272180438041687, 'ml-ops', 3), ('chancefocus/pixiu', 0.5267559289932251, 'finance', 5), ('hiyouga/llama-factory', 0.5245572328567505, 'llm', 2), ('hiyouga/llama-efficient-tuning', 0.5245571732521057, 'llm', 2), ('run-llama/rags', 0.5243651866912842, 'llm', 1), ('microsoft/torchscale', 0.5222489237785339, 'llm', 2), ('lucidrains/toolformer-pytorch', 0.5221193432807922, 'llm', 0), ('vllm-project/vllm', 0.5203900337219238, 'llm', 2), ('truera/trulens', 0.5192816853523254, 'llm', 2), ('bigscience-workshop/promptsource', 0.5188122987747192, 'nlp', 3), ('hwchase17/langchain', 0.5174627304077148, 'llm', 1), ('microsoft/semantic-kernel', 0.5170361399650574, 'llm', 2), ('deeppavlov/deeppavlov', 0.5165128111839294, 'nlp', 3), ('aimhubio/aim', 0.5164137482643127, 'ml-ops', 3), ('cleanlab/cleanlab', 0.5151708722114563, 'ml', 2), ('lianjiatech/belle', 0.5147097706794739, 'llm', 0), ('dylanhogg/llmgraph', 0.5142863988876343, 'ml', 1), ('mlc-ai/mlc-llm', 0.51301109790802, 'llm', 1), ('alibaba/easynlp', 0.5120981335639954, 'nlp', 2), ('microsoft/unilm', 0.5100960731506348, 'nlp', 2), ('determined-ai/determined', 0.5085978507995605, 'ml-ops', 2), ('lupantech/chameleon-llm', 0.5085508823394775, 'llm', 3), ('flairnlp/flair', 0.5028916597366333, 'nlp', 3), ('titanml/takeoff', 0.5014408230781555, 'llm', 1), ('eugeneyan/open-llms', 0.5009057521820068, 'study', 1), ('intel/intel-extension-for-transformers', 0.5005181431770325, 'perf', 0)]

75

4

null

25.37

802

596

33

0

31

44

31

801

1,068

90

1.3

60

1,469

llm

https://github.com/alpha-vllm/llama2-accessory

['pre-training', 'fine-tuning', 'deployment']

null

[]

null

alpha-vllm/llama2-accessory

LLaMA2-Accessory

2,054

129

30

Python

https://llama2-accessory.readthedocs.io/

An Open-source Toolkit for LLM Development

alpha-vllm

2024-01-13

2023-07-21

27

74.497409

https://avatars.githubusercontent.com/u/140153551?v=4

An Open-source Toolkit for LLM Development

[]

['deployment', 'fine-tuning', 'pre-training']

2024-01-11

[('tigerlab-ai/tiger', 0.7141748666763306, 'llm', 1), ('h2oai/h2o-llmstudio', 0.6861495971679688, 'llm', 1), ('bentoml/openllm', 0.6482536792755127, 'ml-ops', 1), ('iryna-kondr/scikit-llm', 0.6441587209701538, 'llm', 0), ('hegelai/prompttools', 0.6420565247535706, 'llm', 0), ('agenta-ai/agenta', 0.6384699940681458, 'llm', 0), ('ray-project/llm-applications', 0.6254207491874695, 'llm', 1), ('microsoft/promptflow', 0.6248592734336853, 'llm', 0), ('salesforce/codet5', 0.6213086843490601, 'nlp', 0), ('microsoft/semantic-kernel', 0.6138186454772949, 'llm', 0), ('lightning-ai/lit-gpt', 0.6060934066772461, 'llm', 1), ('argilla-io/argilla', 0.6045132875442505, 'nlp', 0), ('microsoft/torchscale', 0.602177619934082, 'llm', 0), ('eugeneyan/open-llms', 0.6008363962173462, 'study', 0), ('salesforce/xgen', 0.5997952222824097, 'llm', 0), ('citadel-ai/langcheck', 0.5963909029960632, 'llm', 0), ('pathwaycom/llm-app', 0.5948898196220398, 'llm', 0), ('young-geng/easylm', 0.5873928070068359, 'llm', 0), ('mooler0410/llmspracticalguide', 0.5765708088874817, 'study', 0), ('bigscience-workshop/petals', 0.5728069543838501, 'data', 0), ('nat/openplayground', 0.5689014792442322, 'llm', 0), ('vllm-project/vllm', 0.5688649415969849, 'llm', 0), ('deepset-ai/haystack', 0.5652121305465698, 'llm', 0), ('run-llama/llama-hub', 0.561208963394165, 'data', 0), ('hiyouga/llama-factory', 0.5589560270309448, 'llm', 1), ('hiyouga/llama-efficient-tuning', 0.5589559078216553, 'llm', 1), ('intel/intel-extension-for-transformers', 0.5544970035552979, 'perf', 0), ('microsoft/jarvis', 0.5535730719566345, 'llm', 0), ('ajndkr/lanarky', 0.552966833114624, 'llm', 0), ('nomic-ai/gpt4all', 0.5511795878410339, 'llm', 0), ('conceptofmind/toolformer', 0.5475521087646484, 'llm', 0), ('night-chen/toolqa', 0.542137086391449, 'llm', 0), ('numba/llvmlite', 0.539250910282135, 'util', 0), ('hwchase17/langchain', 0.5383664965629578, 'llm', 0), ('confident-ai/deepeval', 0.5373701453208923, 'testing', 0), ('ludwig-ai/ludwig', 0.5365805625915527, 'ml-ops', 1), ('langchain-ai/langsmith-cookbook', 0.5349544286727905, 'llm', 0), ('shishirpatil/gorilla', 0.5339228510856628, 'llm', 0), ('nebuly-ai/nebullvm', 0.5258677005767822, 'perf', 0), ('openbmb/toolbench', 0.5172504186630249, 'llm', 0), ('alphasecio/langchain-examples', 0.5159311890602112, 'llm', 0), ('berriai/litellm', 0.5151165127754211, 'llm', 0), ('truera/trulens', 0.5145223140716553, 'llm', 0), ('deep-diver/pingpong', 0.5120090842247009, 'llm', 0), ('openai/evals', 0.5116733312606812, 'llm', 0), ('run-llama/llama-lab', 0.5041949152946472, 'llm', 0), ('salesforce/jaxformer', 0.5040596723556519, 'llm', 0), ('cg123/mergekit', 0.5024479627609253, 'llm', 0), ('zenml-io/zenml', 0.5014763474464417, 'ml-ops', 0), ('mmabrouk/chatgpt-wrapper', 0.5011169910430908, 'llm', 0)]

19

5

null

9.48

73

61

6

0

73

107

90

1.5

60

1,709

llm

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

[]

null

[]

null

huggingface/text-embeddings-inference

text-embeddings-inference

1,520

65

20

Rust

https://huggingface.co/docs/text-embeddings-inference/quick_tour

A blazing fast inference solution for text embeddings models

huggingface

2024-01-14

2023-10-13

15

97.614679

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

A blazing fast inference solution for text embeddings models

['ai', 'embeddings', 'huggingface', 'llm', 'ml']

2024-01-04

[('chroma-core/chroma', 0.5832590460777283, 'data', 1), ('plasticityai/magnitude', 0.5618109703063965, 'nlp', 1), ('amansrivastava17/embedding-as-service', 0.5573744177818298, 'nlp', 2), ('koaning/whatlies', 0.5444438457489014, 'nlp', 1), ('infinitylogesh/mutate', 0.531061053276062, 'nlp', 0), ('sebischair/lbl2vec', 0.5274394154548645, 'nlp', 0), ('facebookresearch/pytorch-biggraph', 0.5272315144538879, 'ml-dl', 0), ('hpcaitech/energonai', 0.5272306799888611, 'ml', 0), ('google-research/electra', 0.5215802788734436, 'ml-dl', 0), ('llmware-ai/llmware', 0.517711341381073, 'llm', 2), ('huggingface/text-generation-inference', 0.5171723365783691, 'llm', 0), ('koaning/embetter', 0.5125843286514282, 'data', 0), ('jina-ai/clip-as-service', 0.5006672143936157, 'nlp', 0)]

7

2

null

1.25

110

87

3

0

8

32

8

110

172

90

1.6

60

1,591

testing

https://github.com/confident-ai/deepeval

['language-model', 'unit-testing']

null

[]

null

confident-ai/deepeval

deepeval

1,014

60

9

Python

https://docs.confident-ai.com/

The Evaluation Framework for LLMs

confident-ai

2024-01-13

2023-08-10

24

41.028902

https://avatars.githubusercontent.com/u/130858411?v=4

The Evaluation Framework for LLMs

['chatgpt', 'evaluate-models', 'evaluate-news-article-with-nlp', 'evaluation', 'evaluation-framework', 'evaluation-metrics', 'large', 'llm', 'llm-evaluation', 'llm-evaluation-framework', 'llmops']

['chatgpt', 'evaluate-models', 'evaluate-news-article-with-nlp', 'evaluation', 'evaluation-framework', 'evaluation-metrics', 'language-model', 'large', 'llm', 'llm-evaluation', 'llm-evaluation-framework', 'llmops', 'unit-testing']

2024-01-12

[('agenta-ai/agenta', 0.690017819404602, 'llm', 3), ('openai/evals', 0.6733431816101074, 'llm', 3), ('citadel-ai/langcheck', 0.6523064374923706, 'llm', 2), ('hiyouga/llama-factory', 0.6391016840934753, 'llm', 2), ('hiyouga/llama-efficient-tuning', 0.6391015648841858, 'llm', 2), ('mooler0410/llmspracticalguide', 0.6305698156356812, 'study', 0), ('ai21labs/lm-evaluation', 0.622775137424469, 'llm', 2), ('eugeneyan/open-llms', 0.6072402596473694, 'study', 1), ('young-geng/easylm', 0.6033726334571838, 'llm', 1), ('deepset-ai/haystack', 0.5944290161132812, 'llm', 2), ('explosion/spacy-llm', 0.5939695239067078, 'llm', 1), ('dylanhogg/llmgraph', 0.581521213054657, 'ml', 2), ('microsoft/torchscale', 0.581218957901001, 'llm', 0), ('llmware-ai/llmware', 0.5799471735954285, 'llm', 0), ('bentoml/openllm', 0.575341522693634, 'ml-ops', 2), ('h2oai/h2o-llmstudio', 0.5734099745750427, 'llm', 2), ('lianjiatech/belle', 0.5731056332588196, 'llm', 0), ('argilla-io/argilla', 0.5710536241531372, 'nlp', 1), ('giskard-ai/giskard', 0.5690423250198364, 'data', 1), ('microsoft/promptflow', 0.5659092664718628, 'llm', 2), ('lm-sys/fastchat', 0.5658591985702515, 'llm', 2), ('hegelai/prompttools', 0.5625259876251221, 'llm', 0), ('paddlepaddle/paddlenlp', 0.556614100933075, 'llm', 1), ('fasteval/fasteval', 0.5521769523620605, 'llm', 2), ('hwchase17/langchain', 0.5516130328178406, 'llm', 1), ('intel/intel-extension-for-transformers', 0.5511168241500854, 'perf', 0), ('pathwaycom/llm-app', 0.549860417842865, 'llm', 2), ('jerryjliu/llama_index', 0.5483352541923523, 'llm', 2), ('microsoft/autogen', 0.5460978746414185, 'llm', 2), ('arize-ai/phoenix', 0.5458160042762756, 'ml-interpretability', 1), ('nomic-ai/gpt4all', 0.5438401699066162, 'llm', 1), ('salesforce/xgen', 0.5417569875717163, 'llm', 2), ('next-gpt/next-gpt', 0.5388375520706177, 'llm', 2), ('alpha-vllm/llama2-accessory', 0.5373701453208923, 'llm', 0), ('thudm/chatglm2-6b', 0.5323322415351868, 'llm', 1), ('microsoft/promptcraft-robotics', 0.5318647623062134, 'sim', 2), ('deep-diver/pingpong', 0.5305920243263245, 'llm', 0), ('night-chen/toolqa', 0.529060959815979, 'llm', 0), ('tigerlab-ai/tiger', 0.5287721157073975, 'llm', 1), ('nebuly-ai/nebullvm', 0.5270206928253174, 'perf', 1), ('ibm/dromedary', 0.5251967906951904, 'llm', 1), ('langchain-ai/langsmith-cookbook', 0.5237811803817749, 'llm', 2), ('anthropics/evals', 0.5211471915245056, 'llm', 0), ('salesforce/codet5', 0.5176749229431152, 'nlp', 1), ('bobazooba/xllm', 0.5172545909881592, 'llm', 2), ('truera/trulens', 0.5170626640319824, 'llm', 3), ('rlancemartin/auto-evaluator', 0.5153782963752747, 'llm', 1), ('shishirpatil/gorilla', 0.5115599036216736, 'llm', 2), ('zilliztech/gptcache', 0.5101267099380493, 'llm', 2), ('juncongmoo/pyllama', 0.5091282725334167, 'llm', 0), ('openbmb/toolbench', 0.5041009783744812, 'llm', 1), ('guidance-ai/guidance', 0.5033418536186218, 'llm', 2), ('eth-sri/lmql', 0.5033408403396606, 'llm', 2), ('bigscience-workshop/petals', 0.5002102255821228, 'data', 0)]

14

3

null

26.6

202

182

5

0

24

124

24

202

335

90

1.7

60

1,344

util

https://github.com/faif/python-patterns

[]

null

[]

null

faif/python-patterns

python-patterns

38,820

6,988

1,661

Python

null

A collection of design patterns/idioms in Python

faif

2024-01-14

2012-06-06

607

63.86369

null

A collection of design patterns/idioms in Python

['design-patterns', 'idioms']

2023-01-27

[('brandon-rhodes/python-patterns', 0.6763890385627747, 'util', 0), ('cosmicpython/book', 0.532017707824707, 'study', 0), ('grahamdumpleton/wrapt', 0.5319310426712036, 'util', 0), ('xrudelis/pytrait', 0.516368567943573, 'util', 0), ('pytoolz/toolz', 0.5127255320549011, 'util', 0)]

128

4

null

0

2

141

12

0

2

11

90

5.5

59

108

sim

https://github.com/atsushisakai/pythonrobotics

[]

null

[]

null

atsushisakai/pythonrobotics

PythonRobotics

20,781

6,275

511

Python

https://atsushisakai.github.io/PythonRobotics/

Python sample codes for robotics algorithms.

atsushisakai

2024-01-14

2016-03-21

410

50.667712

null

Python sample codes for robotics algorithms.

['algorithm', 'animation', 'autonomous-driving', 'autonomous-navigation', 'autonomous-vehicles', 'control', 'cvxpy', 'ekf', 'localization', 'mapping', 'path-planning', 'robot', 'robotics', 'slam']

2024-01-09

[('thealgorithms/python', 0.58967125415802, 'study', 1), ('scikit-mobility/scikit-mobility', 0.5399863719940186, 'gis', 0), ('keon/algorithms', 0.5353425741195679, 'util', 1), ('python-odin/odin', 0.5244603753089905, 'util', 0), ('pandas-dev/pandas', 0.5196974277496338, 'pandas', 0), ('fchollet/deep-learning-with-python-notebooks', 0.5075343251228333, 'study', 0)]

121

4

null

2.56

59

56

95

0

59

27

90

0.5

59

2

ml-dl

https://github.com/apache/incubator-mxnet

[]

null

[]

null

apache/incubator-mxnet

mxnet

20,667

6,894

1,074

C++

https://mxnet.apache.org

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

apache

2024-01-14

2015-04-30

456

45.251486

https://avatars.githubusercontent.com/u/47359?v=4

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

['mxnet']

2023-01-26

[('microsoft/deepspeed', 0.6390171051025391, 'ml-dl', 0), ('horovod/horovod', 0.6248153448104858, 'ml-ops', 1), ('nvidia/deeplearningexamples', 0.5984542965888977, 'ml-dl', 1), ('paddlepaddle/paddle', 0.5943779349327087, 'ml-dl', 0), ('alpa-projects/alpa', 0.5928085446357727, 'ml-dl', 0), ('google/trax', 0.583592414855957, 'ml-dl', 0), ('microsoft/onnxruntime', 0.5671101212501526, 'ml', 0), ('aiqc/aiqc', 0.560641884803772, 'ml-ops', 0), ('tensorflow/tensorflow', 0.5543745160102844, 'ml-dl', 0), ('determined-ai/determined', 0.5505608320236206, 'ml-ops', 0), ('neuralmagic/deepsparse', 0.53566974401474, 'nlp', 0), ('tensorflow/tensor2tensor', 0.5354474186897278, 'ml', 0), ('ray-project/ray', 0.5308846235275269, 'ml-ops', 0), ('bigscience-workshop/petals', 0.5274662971496582, 'data', 0), ('salesforce/warp-drive', 0.5272499322891235, 'ml-rl', 0), ('uber/petastorm', 0.5250005722045898, 'data', 0), ('deepmind/dm-haiku', 0.522907018661499, 'ml-dl', 0), ('denys88/rl_games', 0.5211288332939148, 'ml-rl', 0), ('keras-team/keras', 0.5203127861022949, 'ml-dl', 0), ('deepmind/dm_control', 0.5190567374229431, 'ml-rl', 0), ('adap/flower', 0.5179499387741089, 'ml-ops', 0), ('tensorlayer/tensorlayer', 0.5166865587234497, 'ml-rl', 0), ('huggingface/transformers', 0.5165125131607056, 'nlp', 0), ('ashleve/lightning-hydra-template', 0.5147703886032104, 'util', 0), ('explosion/thinc', 0.5136386156082153, 'ml-dl', 1), ('tlkh/tf-metal-experiments', 0.5093386769294739, 'perf', 0), ('microsoft/jarvis', 0.5016826391220093, 'llm', 0), ('merantix-momentum/squirrel-core', 0.500947892665863, 'ml', 0)]

983

8

null

0.02

6

0

106

12

0

5

6

10

90

1.7

59

19

time-series

https://github.com/facebook/prophet

['time-series']

null

[]

1

null

facebook/prophet

prophet

17,356

4,467

423

Python

https://facebook.github.io/prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

facebook

2024-01-13

2016-11-16

375

46.177119

https://avatars.githubusercontent.com/u/69631?v=4

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

['forecasting', 'r']

['forecasting', 'r', 'time-series']

2023-10-18

[('nixtla/statsforecast', 0.586733341217041, 'time-series', 2), ('alkaline-ml/pmdarima', 0.581493079662323, 'time-series', 2), ('linkedin/greykite', 0.5375127196311951, 'ml', 0), ('winedarksea/autots', 0.5207078456878662, 'time-series', 2), ('firmai/atspy', 0.5104213356971741, 'time-series', 2)]

173

4

null

0.65

58

16

87

3

4

2

4

58

72

90

1.2

59

177

debug

https://github.com/cool-rr/pysnooper

[]

null

[]

1

null

cool-rr/pysnooper

PySnooper

16,144

954

232

Python

null

Never use print for debugging again

cool-rr

2024-01-14

2019-04-18

249

64.649886

null

Never use print for debugging again

['debug', 'debugger', 'introspection', 'logging']

2024-01-13

[('gruns/icecream', 0.8130260705947876, 'debug', 1), ('samuelcolvin/python-devtools', 0.5116415619850159, 'debug', 1)]

27

5

null

0.19

4

1

58

0

1

4

1

4

8

90

2

59

56

term

https://github.com/pallets/click

['terminal']

null

[]

1

null

pallets/click

click

14,685

1,418

183

Python

https://click.palletsprojects.com

Python composable command line interface toolkit

pallets

2024-01-14

2014-04-24

509

28.810258

https://avatars.githubusercontent.com/u/16748505?v=4

Python composable command line interface toolkit

['cli', 'click', 'pallets']

['cli', 'click', 'pallets', 'terminal']

2023-12-29

[('google/python-fire', 0.6196329593658447, 'term', 1), ('pexpect/pexpect', 0.5701817870140076, 'util', 0), ('jquast/blessed', 0.5604668855667114, 'term', 2), ('hoffstadt/dearpygui', 0.5539004802703857, 'gui', 0), ('textualize/trogon', 0.5391209125518799, 'term', 3), ('beeware/toga', 0.5282005667686462, 'gui', 0), ('urwid/urwid', 0.5238144993782043, 'term', 0), ('python-poetry/cleo', 0.5077859163284302, 'term', 1)]

366

3

null

1.87

43

27

118

0

4

5

4

43

53

90

1.2

59

1,215

gamedev

https://github.com/kitao/pyxel

[]

null

[]

null

kitao/pyxel

pyxel

12,839

842

228

Python

null

A retro game engine for Python

kitao

2024-01-14

2018-06-10

294

43.62767

null

A retro game engine for Python

['8bit', 'fantasy-console', 'game', 'game-development', 'game-engine', 'gamedev', 'gameengine', 'pico-8', 'pyxel', 'rust', 'tic-80']

2024-01-13

[('pokepetter/ursina', 0.6735712885856628, 'gamedev', 2), ('panda3d/panda3d', 0.6634293794631958, 'gamedev', 3), ('lordmauve/pgzero', 0.6230867505073547, 'gamedev', 0), ('renpy/renpy', 0.5945414304733276, 'viz', 1), ('pygame/pygame', 0.5883877873420715, 'gamedev', 2), ('pythonarcade/arcade', 0.5633159875869751, 'gamedev', 0), ('pygamelib/pygamelib', 0.5561051964759827, 'gamedev', 2), ('prefecthq/marvin', 0.520916759967804, 'nlp', 0), ('quantconnect/lean', 0.5179747343063354, 'finance', 0), ('willmcgugan/textual', 0.5071513056755066, 'term', 0)]

60

0

null

9.88

36

29

68

0

14

13

14

36

90

2.5

59

61

pandas

https://github.com/ydataai/ydata-profiling

[]

null

[]

1

null

ydataai/ydata-profiling

ydata-profiling

11,667

1,607

150

Python

https://docs.profiling.ydata.ai

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

ydataai

2024-01-14

2016-01-09

420

27.750255

https://avatars.githubusercontent.com/u/57689451?v=4

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

['big-data-analytics', 'data-analysis', 'data-exploration', 'data-profiling', 'data-quality', 'data-science', 'deep-learning', 'eda', 'exploration', 'exploratory-data-analysis', 'html-report', 'jupyter', 'jupyter-notebook', 'machine-learning', 'pandas', 'pandas-dataframe', 'pandas-profiling', 'statistics']

2024-01-08

[('ydataai/ydata-quality', 0.6654260754585266, 'data', 2), ('hi-primus/optimus', 0.6320505142211914, 'ml-ops', 5), ('polyaxon/datatile', 0.6102992296218872, 'pandas', 6), ('great-expectations/great_expectations', 0.606023907661438, 'ml-ops', 5), ('unionai-oss/pandera', 0.5934801697731018, 'pandas', 2), ('pandas-dev/pandas', 0.5782955884933472, 'pandas', 3), ('apache/spark', 0.546349048614502, 'data', 0), ('lux-org/lux', 0.542782723903656, 'viz', 4), ('pola-rs/polars', 0.5423642992973328, 'pandas', 0), ('dagworks-inc/hamilton', 0.5421671867370605, 'ml-ops', 4), ('man-group/dtale', 0.5416145324707031, 'viz', 4), ('modin-project/modin', 0.5375041365623474, 'perf', 2), ('rapidsai/cudf', 0.5349627733230591, 'pandas', 3), ('krzjoa/awesome-python-data-science', 0.5310283303260803, 'study', 5), ('gventuri/pandas-ai', 0.5286967158317566, 'pandas', 3), ('plotly/dash', 0.526740312576294, 'viz', 2), ('ranaroussi/quantstats', 0.5242244005203247, 'finance', 0), ('rubik/radon', 0.5186936259269714, 'util', 0), ('eventual-inc/daft', 0.5120884776115417, 'pandas', 3), ('mementum/bta-lib', 0.5118176937103271, 'finance', 0)]

117

3

null

2.83

80

30

98

0

17

38

17

80

92

90

1.1

59

50

viz

https://github.com/mwaskom/seaborn

[]

null

[]

null

mwaskom/seaborn

seaborn

11,575

1,870

259

Python

https://seaborn.pydata.org

Statistical data visualization in Python

mwaskom

2024-01-14

2012-06-18

606

19.096158

null

Statistical data visualization in Python

['data-science', 'data-visualization', 'matplotlib', 'pandas']

2024-01-13

[('altair-viz/altair', 0.8215170502662659, 'viz', 0), ('enthought/mayavi', 0.7422676086425781, 'viz', 0), ('man-group/dtale', 0.73142409324646, 'viz', 3), ('residentmario/geoplot', 0.7261803150177002, 'gis', 1), ('matplotlib/matplotlib', 0.6802253127098083, 'viz', 3), ('kanaries/pygwalker', 0.6736312508583069, 'pandas', 2), ('lux-org/lux', 0.6733652949333191, 'viz', 2), ('scitools/iris', 0.6527572870254517, 'gis', 0), ('jakevdp/pythondatasciencehandbook', 0.6520794630050659, 'study', 2), ('holoviz/panel', 0.6487950086593628, 'viz', 1), ('pyqtgraph/pyqtgraph', 0.6456829905509949, 'viz', 0), ('holoviz/holoviz', 0.6366784572601318, 'viz', 0), ('holoviz/hvplot', 0.636111855506897, 'pandas', 0), ('bokeh/bokeh', 0.6307612061500549, 'viz', 0), ('contextlab/hypertools', 0.6260726451873779, 'ml', 1), ('cuemacro/chartpy', 0.6233909130096436, 'viz', 1), ('has2k1/plotnine', 0.6059504747390747, 'viz', 0), ('matplotlib/mplfinance', 0.6046485900878906, 'finance', 1), ('pandas-dev/pandas', 0.6021502017974854, 'pandas', 2), ('holoviz/geoviews', 0.5874853134155273, 'gis', 0), ('scitools/cartopy', 0.5874788761138916, 'gis', 1), ('dfki-ric/pytransform3d', 0.5858793258666992, 'math', 1), ('datapane/datapane', 0.5832452774047852, 'viz', 1), ('adamerose/pandasgui', 0.5795894861221313, 'pandas', 1), ('plotly/plotly.py', 0.5750998854637146, 'viz', 0), ('gregorhd/mapcompare', 0.573523998260498, 'gis', 0), ('blaze/blaze', 0.5715226531028748, 'pandas', 0), ('tkrabel/bamboolib', 0.5646217465400696, 'pandas', 1), ('wesm/pydata-book', 0.5627793073654175, 'study', 0), ('csurfer/pyheat', 0.5626926422119141, 'profiling', 1), ('geopandas/geopandas', 0.5595967769622803, 'gis', 1), ('alexmojaki/heartrate', 0.5591291785240173, 'debug', 0), ('eleutherai/pyfra', 0.5522692799568176, 'ml', 0), ('westhealth/pyvis', 0.5389178395271301, 'graph', 0), ('mckinsey/vizro', 0.535768449306488, 'viz', 1), ('marcomusy/vedo', 0.5347036123275757, 'viz', 0), ('plotly/dash', 0.5341764092445374, 'viz', 2), ('vizzuhq/ipyvizzu', 0.5341234803199768, 'jupyter', 1), ('raphaelquast/eomaps', 0.531478226184845, 'gis', 1), ('federicoceratto/dashing', 0.528854489326477, 'term', 0), ('artelys/geonetworkx', 0.5267704129219055, 'gis', 0), ('netflix/flamescope', 0.5240253806114197, 'viz', 1), ('rjt1990/pyflux', 0.522447407245636, 'time-series', 0), ('graphistry/pygraphistry', 0.5153336524963379, 'data', 1), ('scikit-learn/scikit-learn', 0.5135470628738403, 'ml', 1), ('holoviz/holoviews', 0.513229489326477, 'viz', 0), ('stan-dev/pystan', 0.5127715468406677, 'ml', 0), ('mito-ds/monorepo', 0.5123574733734131, 'jupyter', 3), ('rapidsai/cudf', 0.5099605917930603, 'pandas', 2), ('holoviz/spatialpandas', 0.5058495402336121, 'pandas', 1), ('earthlab/earthpy', 0.5044101476669312, 'gis', 0), ('pysal/pysal', 0.5034690499305725, 'gis', 0), ('hazyresearch/meerkat', 0.5017697215080261, 'viz', 2), ('giswqs/geemap', 0.5008442401885986, 'gis', 1), ('matplotlib/basemap', 0.500274658203125, 'gis', 0), ('polyaxon/datatile', 0.500043511390686, 'pandas', 4)]

210

5

null

2.29

127

92

141

0

3

127

285

90

2.2

59

1,375

ml

https://github.com/deepmind/alphafold

['protein', 'biology']

Implementation of the inference pipeline of AlphaFold v2

[]

null

deepmind/alphafold

alphafold

11,231

2,018

215

Python

null

Open source code for AlphaFold.

deepmind

2024-01-14

2021-06-17

136

82.149425

https://avatars.githubusercontent.com/u/8596759?v=4

Open source code for AlphaFold.

[]

['biology', 'protein']

2023-11-01

[]

19

3

null

0.54

82

30

31

2

1

5

1

82

154

90

1.9

59

1,782

util

https://github.com/caronc/apprise

[]

null

[]

null

caronc/apprise

apprise

9,247

335

61

Python

https://hub.docker.com/r/caronc/apprise

Apprise - Push Notifications that work with just about every platform!

caronc

2024-01-14

2017-11-25

322

28.67922

null

Apprise - Push Notifications that work with just about every platform!

['alerts', 'apprise', 'framework', 'notification-api', 'notification-hub', 'notification-service', 'notifications', 'notifier', 'notify', 'push-notifications']

2024-01-06

[('liiight/notifiers', 0.6810635924339294, 'util', 3)]

57

3

null

2.21

81

55

75

0

7

8

7

81

179

90

2.2

59

1,391

finance

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

['reinforcement-learning']

null

[]

null

ai4finance-foundation/finrl

FinRL

8,598

2,131

194

Jupyter Notebook

https://discord.gg/trsr8SXpW5

FinRL: Financial Reinforcement Learning. 🔥

ai4finance-foundation

2024-01-13

2020-07-26

183

46.910366

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

FinRL: Financial Reinforcement Learning. 🔥

['algorithmic-trading', 'deep-reinforcement-learning', 'drl-algorithms', 'drl-framework', 'drl-trading-agents', 'finance', 'fintech', 'multi-agent-learning', 'openai-gym', 'pythorch', 'stock-markets', 'stock-trading', 'tensorflow2', 'trading-tasks']

['algorithmic-trading', 'deep-reinforcement-learning', 'drl-algorithms', 'drl-framework', 'drl-trading-agents', 'finance', 'fintech', 'multi-agent-learning', 'openai-gym', 'pythorch', 'reinforcement-learning', 'stock-markets', 'stock-trading', 'tensorflow2', 'trading-tasks']

2024-01-14

[('ai4finance-foundation/fingpt', 0.6304659247398376, 'finance', 3), ('polakowo/vectorbt', 0.6179881691932678, 'finance', 2), ('keras-rl/keras-rl', 0.5993512272834778, 'ml-rl', 1), ('pytorch/rl', 0.5981391072273254, 'ml-rl', 1), ('openbb-finance/openbbterminal', 0.5771132111549377, 'finance', 1), ('thu-ml/tianshou', 0.5749337673187256, 'ml-rl', 0), ('chancefocus/pixiu', 0.5721709132194519, 'finance', 1), ('tensorlayer/tensorlayer', 0.5661175847053528, 'ml-rl', 1), ('google/dopamine', 0.5640981793403625, 'ml-rl', 0), ('google/trax', 0.5627601146697998, 'ml-dl', 2), ('denys88/rl_games', 0.5618516206741333, 'ml-rl', 1), ('microsoft/qlib', 0.5603201389312744, 'finance', 3), ('quantconnect/lean', 0.5530506372451782, 'finance', 1), ('adap/flower', 0.551112949848175, 'ml-ops', 0), ('explosion/thinc', 0.5454742312431335, 'ml-dl', 0), ('google/tf-quant-finance', 0.54345703125, 'finance', 1), ('nccr-itmo/fedot', 0.5424655675888062, 'ml-ops', 0), ('opentensor/bittensor', 0.5417373776435852, 'ml', 0), ('zvtvz/zvt', 0.5343793034553528, 'finance', 2), ('kernc/backtesting.py', 0.5252265334129333, 'finance', 2), ('salesforce/warp-drive', 0.5230139493942261, 'ml-rl', 1), ('facebookresearch/reagent', 0.5226213932037354, 'ml-rl', 0), ('unity-technologies/ml-agents', 0.5189048647880554, 'ml-rl', 2), ('pettingzoo-team/pettingzoo', 0.5186222791671753, 'ml-rl', 1), ('freqtrade/freqtrade', 0.5126928091049194, 'crypto', 1), ('ddbourgin/numpy-ml', 0.511791467666626, 'ml', 1), ('xplainable/xplainable', 0.5115347504615784, 'ml-interpretability', 0), ('idanya/algo-trader', 0.5114476084709167, 'finance', 1), ('online-ml/river', 0.5111426711082458, 'ml', 0), ('nevronai/metisfl', 0.5089988112449646, 'ml', 0), ('ranaroussi/quantstats', 0.5057669878005981, 'finance', 2), ('keras-team/keras', 0.5041005611419678, 'ml-dl', 0), ('deepmind/dm_control', 0.5040066838264465, 'ml-rl', 1), ('farama-foundation/gymnasium', 0.5031803250312805, 'ml-rl', 1), ('tensorly/tensorly', 0.5015732645988464, 'ml-dl', 0)]

108

4

null

4.33

51

17

42

0

1

51

53

90

1

59

151

ml

https://github.com/catboost/catboost

[]

null

[]

null

catboost/catboost

catboost

7,539

1,164

197

Python

https://catboost.ai

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

catboost

2024-01-14

2017-07-18

341

22.108504

https://avatars.githubusercontent.com/u/29043415?v=4

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

['big-data', 'catboost', 'categorical-features', 'coreml', 'cuda', 'data-mining', 'data-science', 'decision-trees', 'gbdt', 'gbm', 'gpu', 'gpu-computing', 'gradient-boosting', 'kaggle', 'machine-learning', 'r', 'tutorial']

2024-01-13

[('microsoft/lightgbm', 0.8396483659744263, 'ml', 8), ('dmlc/xgboost', 0.7875171899795532, 'ml', 3), ('google/tf-quant-finance', 0.5715440511703491, 'finance', 2), ('gradio-app/gradio', 0.553999125957489, 'viz', 2), ('pycaret/pycaret', 0.5486772656440735, 'ml', 3), ('dask/dask-ml', 0.5368636250495911, 'ml', 0), ('oml-team/open-metric-learning', 0.5297994017601013, 'ml', 1), ('rasbt/mlxtend', 0.5251424908638, 'ml', 3), ('determined-ai/determined', 0.5235607028007507, 'ml-ops', 2), ('intel/intel-extension-for-pytorch', 0.5203407406806946, 'perf', 1), ('linkedin/fasttreeshap', 0.5170351266860962, 'ml', 1), ('epistasislab/tpot', 0.515169084072113, 'ml', 3), ('microsoft/flaml', 0.5135185122489929, 'ml', 2), ('rasbt/machine-learning-book', 0.5105630159378052, 'study', 1), ('tensorflow/tensorflow', 0.5088467597961426, 'ml-dl', 1), ('tensorflow/data-validation', 0.5083582997322083, 'ml-ops', 0), ('teamhg-memex/eli5', 0.5058757066726685, 'ml', 2), ('pytorch/torchrec', 0.5050163269042969, 'ml-dl', 2), ('scikit-learn-contrib/lightning', 0.5035675764083862, 'ml', 1), ('uber/petastorm', 0.5008516311645508, 'data', 1)]

1,193

2

null

28.46

217

46

79

0

3

14

3

217

167

90

0.8

59

783

diffusion

https://github.com/ashawkey/stable-dreamfusion

[]

null

[]

null

ashawkey/stable-dreamfusion

stable-dreamfusion

7,424

672

125

Python

null

Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.

ashawkey

2024-01-14

2022-10-06

68

108.04158

null

Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.

['dreamfusion', 'gui', 'image-to-3d', 'nerf', 'stable-diffusion', 'text-to-3d']

2023-08-02

[('carson-katri/dream-textures', 0.5740616917610168, 'diffusion', 1), ('xavierxiao/dreambooth-stable-diffusion', 0.5586757659912109, 'diffusion', 1), ('sharonzhou/long_stable_diffusion', 0.5333707332611084, 'diffusion', 0), ('openai/point-e', 0.5210638642311096, 'util', 0), ('automatic1111/stable-diffusion-webui', 0.5163194537162781, 'diffusion', 1), ('huggingface/exporters', 0.503178060054779, 'ml', 0), ('thereforegames/unprompted', 0.5019211769104004, 'diffusion', 1)]

20

7

null

1.75

14

5

16

6

2

13

11

90

0.8

59

355

ml-ops

https://github.com/netflix/metaflow

[]

null

[]

null

netflix/metaflow

metaflow

7,269

703

275

Python

https://metaflow.org

:rocket: Build and manage real-life data science projects with ease!

netflix

2024-01-14

2019-09-17

228

31.881579

https://avatars.githubusercontent.com/u/913567?v=4

🚀 Build and manage real-life data science projects with ease!

['ai', 'aws', 'azure', 'data-science', 'datascience', 'gcp', 'high-performance-computing', 'kubernetes', 'machine-learning', 'ml', 'ml-infrastructure', 'ml-platform', 'mlops', 'model-management', 'productivity', 'r', 'r-package', 'reproducible-research', 'rstats']

2024-01-11

[('polyaxon/polyaxon', 0.6915358901023865, 'ml-ops', 5), ('iterative/dvc', 0.6912345886230469, 'ml-ops', 3), ('bentoml/bentoml', 0.6758896708488464, 'ml-ops', 6), ('orchest/orchest', 0.6532567739486694, 'ml-ops', 3), ('feast-dev/feast', 0.6503940224647522, 'ml-ops', 4), ('mlflow/mlflow', 0.6375054717063904, 'ml-ops', 4), ('avaiga/taipy', 0.6367209553718567, 'data', 2), ('ploomber/ploomber', 0.6208223700523376, 'ml-ops', 3), ('googlecloudplatform/vertex-ai-samples', 0.6179714798927307, 'ml', 5), ('skypilot-org/skypilot', 0.6102747321128845, 'llm', 4), ('flyteorg/flyte', 0.608452320098877, 'ml-ops', 4), ('dagster-io/dagster', 0.6058613657951355, 'ml-ops', 2), ('kubeflow/pipelines', 0.5999767184257507, 'ml-ops', 4), ('mage-ai/mage-ai', 0.5949897766113281, 'ml-ops', 2), ('aimhubio/aim', 0.5948770046234131, 'ml-ops', 5), ('mindsdb/mindsdb', 0.594740092754364, 'data', 3), ('polyaxon/datatile', 0.5876936316490173, 'pandas', 2), ('allegroai/clearml', 0.5861303210258484, 'ml-ops', 3), ('bodywork-ml/bodywork-core', 0.5834348201751709, 'ml-ops', 4), ('airbytehq/airbyte', 0.5793136954307556, 'data', 0), ('zenml-io/mlstacks', 0.5789435505867004, 'ml-ops', 2), ('zenml-io/zenml', 0.5758110880851746, 'ml-ops', 5), ('jina-ai/jina', 0.5668376088142395, 'ml', 3), ('whylabs/whylogs', 0.5658851861953735, 'util', 3), ('fmind/mlops-python-package', 0.5633413195610046, 'template', 3), ('meltano/meltano', 0.5626580119132996, 'ml-ops', 0), ('merantix-momentum/squirrel-core', 0.560415506362915, 'ml', 4), ('activeloopai/deeplake', 0.5537254214286804, 'ml-ops', 5), ('cleanlab/cleanlab', 0.5494846105575562, 'ml', 1), ('alirezadir/machine-learning-interview-enlightener', 0.5488802194595337, 'study', 2), ('xplainable/xplainable', 0.5485888123512268, 'ml-interpretability', 2), ('featureform/embeddinghub', 0.5473335981369019, 'nlp', 4), ('hpcaitech/colossalai', 0.5460145473480225, 'llm', 1), ('drivendata/cookiecutter-data-science', 0.5439575910568237, 'template', 3), ('superduperdb/superduperdb', 0.542826235294342, 'data', 3), ('pythagora-io/gpt-pilot', 0.5420463681221008, 'llm', 1), ('kubeflow-kale/kale', 0.5416892170906067, 'ml-ops', 1), ('lastmile-ai/aiconfig', 0.5414328575134277, 'util', 1), ('eventual-inc/daft', 0.5369682312011719, 'pandas', 2), ('huggingface/datasets', 0.5358194708824158, 'nlp', 1), ('sweepai/sweep', 0.5298407077789307, 'llm', 1), ('hi-primus/optimus', 0.5270899534225464, 'ml-ops', 2), ('kestra-io/kestra', 0.5250420570373535, 'ml-ops', 0), ('streamlit/streamlit', 0.5236718654632568, 'viz', 2), ('dagworks-inc/hamilton', 0.519896924495697, 'ml-ops', 3), ('lithops-cloud/lithops', 0.5198798179626465, 'ml-ops', 1), ('antonosika/gpt-engineer', 0.5169954299926758, 'llm', 1), ('zenodo/zenodo', 0.513927161693573, 'util', 0), ('google/ml-metadata', 0.5132206082344055, 'ml-ops', 0), ('transformeroptimus/superagi', 0.5128297209739685, 'llm', 1), ('pydoit/doit', 0.5121597051620483, 'util', 1), ('wandb/client', 0.5120764374732971, 'ml', 4), ('airbnb/knowledge-repo', 0.5116251707077026, 'data', 1), ('salesforce/logai', 0.5108799934387207, 'util', 2), ('unionai-oss/unionml', 0.5082710981369019, 'ml-ops', 2), ('google-research/language', 0.5073051452636719, 'nlp', 1), ('firmai/industry-machine-learning', 0.5058495402336121, 'study', 3), ('backtick-se/cowait', 0.5032603144645691, 'util', 2)]

78

3

null

4.12

136

79

53

0

36

27

36

136

131

90

1

59

1,605

term

https://github.com/saulpw/visidata

[]

null

[]

null

saulpw/visidata

visidata

7,159

271

70

Python

http://visidata.org

A terminal spreadsheet multitool for discovering and arranging data

saulpw

2024-01-14

2016-10-27

378

18.903433

null

A terminal spreadsheet multitool for discovering and arranging data

['cli', 'csv', 'datajournalism', 'datawrangling', 'devops-tools', 'eda', 'hdf5', 'json', 'opendata', 'pandas', 'reconciliation', 'spreadsheet', 'sqlite', 'tabular-data', 'tsv', 'tui', 'unix-toolkit']

2024-01-14

[('gristlabs/grist-core', 0.6072668433189392, 'data', 1), ('simonw/datasette', 0.6051476001739502, 'data', 3), ('hi-primus/optimus', 0.5910075902938843, 'ml-ops', 0), ('hyperqueryhq/whale', 0.5835681557655334, 'data', 0), ('wireservice/csvkit', 0.5774484276771545, 'util', 0), ('mito-ds/monorepo', 0.5757395625114441, 'jupyter', 1), ('jazzband/tablib', 0.5593103170394897, 'data', 0), ('holoviz/panel', 0.5565743446350098, 'viz', 0), ('python-odin/odin', 0.5557106137275696, 'util', 2), ('airbnb/omniduct', 0.5526487231254578, 'data', 0), ('pytables/pytables', 0.5493369102478027, 'data', 0), ('pandas-dev/pandas', 0.5462385416030884, 'pandas', 1), ('airbytehq/airbyte', 0.5434727668762207, 'data', 0), ('plotly/dash', 0.5414975881576538, 'viz', 0), ('airbnb/knowledge-repo', 0.5398018956184387, 'data', 0), ('unstructured-io/unstructured-api', 0.536859393119812, 'data', 0), ('koaning/clumper', 0.5350844264030457, 'util', 0), ('linealabs/lineapy', 0.5347519516944885, 'jupyter', 0), ('krzjoa/awesome-python-data-science', 0.5329089760780334, 'study', 0), ('tconbeer/harlequin', 0.5237422585487366, 'term', 0), ('dbt-labs/dbt-core', 0.5234029293060303, 'ml-ops', 0), ('intake/intake', 0.5221759080886841, 'data', 0), ('ibis-project/ibis', 0.5209618210792542, 'data', 2), ('zenodo/zenodo', 0.5197573900222778, 'util', 0), ('mckinsey/vizro', 0.517253577709198, 'viz', 0), ('man-group/dtale', 0.5157226324081421, 'viz', 1), ('dagster-io/dagster', 0.515415370464325, 'ml-ops', 0), ('tiangolo/sqlmodel', 0.513899564743042, 'data', 1), ('astanin/python-tabulate', 0.5104148387908936, 'util', 0), ('polyaxon/datatile', 0.5101152658462524, 'pandas', 1), ('ploomber/ploomber', 0.5074170827865601, 'ml-ops', 0), ('quantopian/qgrid', 0.5062557458877563, 'jupyter', 0), ('vaexio/vaex', 0.5060981512069702, 'perf', 2), ('malloydata/malloy-py', 0.5046626925468445, 'data', 0), ('unionai-oss/pandera', 0.5012566447257996, 'pandas', 1), ('apache/spark', 0.5010607838630676, 'data', 0), ('dagworks-inc/hamilton', 0.5007401704788208, 'ml-ops', 1), ('dlt-hub/dlt', 0.5002819299697876, 'data', 0)]

96

3

null

21.27

269

213

88

0

4

8

4

269

516

90

1.9

59

287

testing

https://github.com/hypothesisworks/hypothesis

[]

null

[]

1

null

hypothesisworks/hypothesis

hypothesis

7,097

590

72

Python

https://hypothesis.works

Hypothesis is a powerful, flexible, and easy to use library for property-based testing.

hypothesisworks

2024-01-13

2013-03-10

568

12.488436

https://avatars.githubusercontent.com/u/18481919?v=4

Hypothesis is a powerful, flexible, and easy to use library for property-based testing.

['fuzzing', 'property-based-testing', 'testing']

2024-01-13

[('unionai-oss/pandera', 0.5685426592826843, 'pandas', 1), ('nedbat/coveragepy', 0.5107763409614563, 'testing', 0), ('pytest-dev/pytest', 0.505795955657959, 'testing', 1)]

322

4

null

18.79

83

69

132

0

26

131

26

84

177

90

2.1

59

1,197

diffusion

https://github.com/facebookresearch/dinov2

[]

null

[]

null

facebookresearch/dinov2

dinov2

7,024

545

93

Jupyter Notebook

null

PyTorch code and models for the DINOv2 self-supervised learning method.

facebookresearch

2024-01-14

2023-03-29

43

160.156352

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

PyTorch code and models for the DINOv2 self-supervised learning method.

[]

2023-12-01

[('lightly-ai/lightly', 0.5861289501190186, 'ml', 0), ('idea-research/groundingdino', 0.5680932402610779, 'diffusion', 0), ('skorch-dev/skorch', 0.5518595576286316, 'ml-dl', 0), ('rasbt/machine-learning-book', 0.5447684526443481, 'study', 0), ('pytorch/ignite', 0.5208505988121033, 'ml-dl', 0), ('intel/intel-extension-for-pytorch', 0.5111134052276611, 'perf', 0)]

6

1

null

0.63

140

62

10

1

0

140

246

90

1.8

59

872

time-series

https://github.com/unit8co/darts

[]

null

[]

null

unit8co/darts

darts

6,872

766

60

Python

https://unit8co.github.io/darts/

A python library for user-friendly forecasting and anomaly detection on time series.

unit8co

2024-01-13

2018-09-13

280

24.480407

https://avatars.githubusercontent.com/u/39619745?v=4

A python library for user-friendly forecasting and anomaly detection on time series.

['anomaly-detection', 'data-science', 'deep-learning', 'forecasting', 'machine-learning', 'time-series']

2024-01-13

[('aistream-peelout/flow-forecast', 0.7890238165855408, 'time-series', 4), ('yzhao062/pyod', 0.7557379603385925, 'data', 4), ('tdameritrade/stumpy', 0.7482045888900757, 'time-series', 2), ('salesforce/merlion', 0.7470134496688843, 'time-series', 4), ('pycaret/pycaret', 0.7233750820159912, 'ml', 4), ('alkaline-ml/pmdarima', 0.7097618579864502, 'time-series', 3), ('awslabs/gluonts', 0.6495864987373352, 'time-series', 5), ('firmai/atspy', 0.6426480412483215, 'time-series', 2), ('rjt1990/pyflux', 0.5929312109947205, 'time-series', 1), ('linkedin/greykite', 0.5859647989273071, 'ml', 0), ('sktime/sktime', 0.5841982960700989, 'time-series', 4), ('salesforce/deeptime', 0.5719814300537109, 'time-series', 3), ('google/temporian', 0.5616124272346497, 'time-series', 1), ('opengeos/earthformer', 0.5380537509918213, 'gis', 2), ('rasbt/mlxtend', 0.5370567440986633, 'ml', 2), ('winedarksea/autots', 0.5341631770133972, 'time-series', 4), ('scikit-learn-contrib/imbalanced-learn', 0.5324269533157349, 'ml', 2), ('blue-yonder/tsfresh', 0.5309851765632629, 'time-series', 2), ('uber/orbit', 0.5234378576278687, 'time-series', 3), ('wilsonrljr/sysidentpy', 0.5214325785636902, 'time-series', 3), ('microprediction/microprediction', 0.5138264298439026, 'time-series', 1), ('salesforce/logai', 0.5133403539657593, 'util', 2)]

110

4

null

3.79

228

127

65

0

5

7

5

228

353

90

1.5

59

1,090

llm

https://github.com/eleutherai/gpt-neox

[]

null

[]

null

eleutherai/gpt-neox

gpt-neox

6,319

921

121

Python

null

An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.

eleutherai

2024-01-13

2020-12-22

162

39.006173

https://avatars.githubusercontent.com/u/68924597?v=4

An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.

['deepspeed-library', 'gpt-3', 'language-model', 'transformers']

2024-01-13

[('eleutherai/gpt-neo', 0.6265007257461548, 'llm', 3), ('microsoft/deepspeed', 0.5843392610549927, 'ml-dl', 0), ('marella/ctransformers', 0.5529630184173584, 'nlp', 1), ('karpathy/mingpt', 0.5511136651039124, 'llm', 0), ('huggingface/optimum', 0.5265071988105774, 'ml', 1), ('pytorch/pytorch', 0.5058263540267944, 'ml-dl', 0), ('nvidia/tensorrt-llm', 0.5021648406982422, 'viz', 1)]

111

4

null

3.4

83

56

37

0

2

1

2

83

114

90

1.4

59

763

data

https://github.com/gristlabs/grist-core

[]

null

[]

null

gristlabs/grist-core

grist-core

5,846

240

50

TypeScript

https://www.getgrist.com/

Grist is the evolution of spreadsheets.

gristlabs

2024-01-14

2020-05-22

192

30.357567

https://avatars.githubusercontent.com/u/19978005?v=4

Grist is the evolution of spreadsheets.

['awesome', 'database', 'spreadsheet']

2024-01-11

[('saulpw/visidata', 0.6072668433189392, 'term', 1)]

73

1

null

15.33

194

96

44

0

14

7

14

194

316

90

1.6

59

432

util

https://github.com/scikit-image/scikit-image

[]

null

[]

null

scikit-image/scikit-image

scikit-image

5,735

2,241

186

Python

https://scikit-image.org

Image processing in Python

scikit-image

2024-01-13

2011-07-07

655

8.746187

https://avatars.githubusercontent.com/u/897180?v=4

Image processing in Python

['computer-vision', 'image-processing', 'spec-0', 'spec-1', 'spec-4']

2024-01-11

[('luispedro/mahotas', 0.6524010300636292, 'viz', 1), ('python-pillow/pillow', 0.6156206130981445, 'util', 1), ('zulko/moviepy', 0.5875822305679321, 'util', 0), ('imageio/imageio', 0.5782924890518188, 'util', 0), ('networkx/networkx', 0.5438209772109985, 'graph', 3), ('lightly-ai/lightly', 0.5242587924003601, 'ml', 1), ('numpy/numpy', 0.5151585936546326, 'math', 0), ('roboflow/supervision', 0.5051987767219543, 'ml', 2)]

644

8

null

10.75

209

99

152

0

11

9

11

208

481

90

2.3

59

1,258

llm

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

['llama', 'language-model', 'nanogpt']

null

[]

null

lightning-ai/lit-llama

lit-llama

5,520

473

67

Python

null

Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.

lightning-ai

2024-01-14

2023-03-22

44

123.057325

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

Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.

[]

['language-model', 'llama', 'nanogpt']

2023-07-19

[('lightning-ai/lit-gpt', 0.721184253692627, 'llm', 1), ('jzhang38/tinyllama', 0.6785302758216858, 'llm', 2), ('microsoft/llama-2-onnx', 0.643981397151947, 'llm', 2), ('tloen/alpaca-lora', 0.6250495314598083, 'llm', 2), ('bobazooba/xllm', 0.6132877469062805, 'llm', 1), ('hiyouga/llama-factory', 0.5843560099601746, 'llm', 2), ('hiyouga/llama-efficient-tuning', 0.5843559503555298, 'llm', 2), ('facebookresearch/llama', 0.5731508731842041, 'llm', 2), ('zrrskywalker/llama-adapter', 0.5725643038749695, 'llm', 2), ('bigscience-workshop/petals', 0.5701621770858765, 'data', 1), ('next-gpt/next-gpt', 0.5547515153884888, 'llm', 0), ('intel/intel-extension-for-transformers', 0.5519506335258484, 'perf', 0), ('run-llama/llama-lab', 0.550618588924408, 'llm', 2), ('facebookresearch/llama-recipes', 0.5484828352928162, 'llm', 2), ('young-geng/easylm', 0.5471640825271606, 'llm', 2), ('mshumer/gpt-llm-trainer', 0.5464016199111938, 'llm', 0), ('facebookresearch/codellama', 0.5444297790527344, 'llm', 2), ('sjtu-ipads/powerinfer', 0.5379477143287659, 'llm', 1), ('oobabooga/text-generation-webui', 0.5357398986816406, 'llm', 1), ('jerryjliu/llama_index', 0.5328296422958374, 'llm', 2), ('opengvlab/omniquant', 0.5302090048789978, 'llm', 0), ('salesforce/xgen', 0.5283926129341125, 'llm', 1), ('cstankonrad/long_llama', 0.5269233584403992, 'llm', 2), ('haotian-liu/llava', 0.5264182686805725, 'llm', 1), ('lianjiatech/belle', 0.5208169221878052, 'llm', 1), ('openlm-research/open_llama', 0.5196517109870911, 'llm', 2), ('ggerganov/llama.cpp', 0.5175377726554871, 'llm', 2), ('vllm-project/vllm', 0.5155295729637146, 'llm', 1), ('artidoro/qlora', 0.5125903487205505, 'llm', 1), ('microsoft/lora', 0.5121870040893555, 'llm', 1), ('mlc-ai/web-llm', 0.508145809173584, 'llm', 1), ('h2oai/h2o-llmstudio', 0.5055845975875854, 'llm', 1), ('paddlepaddle/paddlenlp', 0.5034503936767578, 'llm', 1), ('tairov/llama2.mojo', 0.501312792301178, 'llm', 1)]

32

6

null

4.31

46

26

10

6

0

46

24

90

0.5

59

185

ml-dl

https://github.com/google/flax

['neural-network']

null

[]

null

google/flax

flax

5,105

582

82

Python

https://flax.readthedocs.io

Flax is a neural network library for JAX that is designed for flexibility.

google

2024-01-14

2020-01-10

211

24.128967

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

Flax is a neural network library for JAX that is designed for flexibility.

['jax']

['jax', 'neural-network']

2024-01-12

[('deepmind/dm-haiku', 0.6950955986976624, 'ml-dl', 1), ('deepmind/synjax', 0.6082916259765625, 'math', 1), ('deepmind/chex', 0.5962191820144653, 'ml-dl', 1), ('young-geng/easylm', 0.5341013073921204, 'llm', 1), ('google/trax', 0.5265333652496338, 'ml-dl', 1)]

215

2

null

8.6

213

169

49

0

14

9

14

212

281

90

1.3

59

1,819

study

https://github.com/udlbook/udlbook

['book', 'deep-learning']

null

[]

null

udlbook/udlbook

udlbook

4,087

847

76

Jupyter Notebook

null

Understanding Deep Learning - Simon J.D. Prince

udlbook

2024-01-14

2022-08-01

78

52.301645

null

Understanding Deep Learning - Simon J.D. Prince

[]

['book', 'deep-learning']

2024-01-10

[('mrdbourke/pytorch-deep-learning', 0.6033921837806702, 'study', 1), ('rasbt/stat453-deep-learning-ss20', 0.5738182663917542, 'study', 0), ('d2l-ai/d2l-en', 0.573790431022644, 'study', 2), ('tensorflow/tensor2tensor', 0.5561156868934631, 'ml', 1), ('rasbt/deeplearning-models', 0.5459153056144714, 'ml-dl', 0), ('ageron/handson-ml2', 0.539566159248352, 'ml', 0), ('udacity/deep-learning-v2-pytorch', 0.5336586236953735, 'study', 1), ('openai/spinningup', 0.5261555314064026, 'study', 0), ('atcold/nyu-dlsp21', 0.5171167850494385, 'study', 1), ('ml-for-high-risk-apps-book/machine-learning-for-high-risk-applications-book', 0.5133402347564697, 'study', 1), ('intellabs/bayesian-torch', 0.5086169838905334, 'ml', 1), ('patchy631/machine-learning', 0.5037120580673218, 'ml', 0), ('graykode/nlp-tutorial', 0.5029069185256958, 'study', 0), ('keras-team/keras', 0.5011566877365112, 'ml-dl', 1)]

8

3

null

7.65

43

40

18

0

35

28

35

43

57

90

1.3

59

1,442

llm

https://github.com/kyegomez/tree-of-thoughts

['prompt-engineering']

null

[]

null

kyegomez/tree-of-thoughts

tree-of-thoughts

3,761

361

48

Python

https://discord.gg/qUtxnK2NMf

Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%

kyegomez

2024-01-14

2023-05-21

36

103.649606

null

Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%

['artificial-intelligence', 'chatgpt', 'deep-learning', 'gpt4', 'multimodal', 'prompt', 'prompt-engineering', 'prompt-learning', 'prompt-tuning']

2023-12-24

[('spcl/graph-of-thoughts', 0.6711254715919495, 'llm', 1), ('lupantech/chameleon-llm', 0.6684974431991577, 'llm', 1), ('keirp/automatic_prompt_engineer', 0.6476341485977173, 'llm', 1), ('eugeneyan/obsidian-copilot', 0.6086257100105286, 'llm', 0), ('stanfordnlp/dspy', 0.5961645245552063, 'llm', 0), ('guidance-ai/guidance', 0.5812641382217407, 'llm', 2), ('lupantech/scienceqa', 0.5537173748016357, 'llm', 0), ('srush/minichain', 0.5509519577026367, 'llm', 1), ('thudm/p-tuning-v2', 0.5489909052848816, 'nlp', 1), ('microsoft/autogen', 0.5404730439186096, 'llm', 1), ('reasoning-machines/pal', 0.5376133918762207, 'llm', 0), ('microsoft/generative-ai-for-beginners', 0.5277297496795654, 'study', 2), ('databrickslabs/dolly', 0.5184698104858398, 'llm', 0), ('openai/finetune-transformer-lm', 0.5154716968536377, 'llm', 0), ('promptslab/awesome-prompt-engineering', 0.5084075927734375, 'study', 6), ('jina-ai/thinkgpt', 0.5059940814971924, 'llm', 0), ('hazyresearch/ama_prompting', 0.5045536160469055, 'llm', 1)]

7

3

null

4.6

7

2

8

1

30

46

30

7

90

1

59

4

pandas

https://github.com/aws/aws-sdk-pandas

['apache-arrow', 'parquet', 'awswrangler', 'emr']

null

[]

1

null

aws/aws-sdk-pandas

aws-sdk-pandas

3,713

668

61

Python

https://aws-sdk-pandas.readthedocs.io

pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).

aws

2024-01-13

2019-02-26

257

14.447471

https://avatars.githubusercontent.com/u/2232217?v=4

pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).

['amazon-athena', 'amazon-sagemaker-notebook', 'apache-arrow', 'apache-parquet', 'athena', 'aws', 'aws-glue', 'aws-lambda', 'data-engineering', 'data-science', 'emr', 'etl', 'glue-catalog', 'lambda', 'modin', 'mysql', 'pandas', 'ray', 'redshift']

['amazon-athena', 'amazon-sagemaker-notebook', 'apache-arrow', 'apache-parquet', 'athena', 'aws', 'aws-glue', 'aws-lambda', 'awswrangler', 'data-engineering', 'data-science', 'emr', 'etl', 'glue-catalog', 'lambda', 'modin', 'mysql', 'pandas', 'parquet', 'ray', 'redshift']

2024-01-12

[('airbytehq/airbyte', 0.6343478560447693, 'data', 4), ('pynamodb/pynamodb', 0.6329684257507324, 'data', 1), ('prefecthq/prefect-aws', 0.6139408946037292, 'data', 1), ('airbnb/omniduct', 0.5810672044754028, 'data', 0), ('tobymao/sqlglot', 0.5701399445533752, 'data', 2), ('ibis-project/ibis', 0.563861608505249, 'data', 2), ('fugue-project/fugue', 0.5624109506607056, 'pandas', 1), ('awslabs/python-deequ', 0.5529321432113647, 'ml', 1), ('hi-primus/optimus', 0.533242404460907, 'ml-ops', 1), ('jordaneremieff/mangum', 0.5317604541778564, 'web', 3), ('zenodo/zenodo', 0.5311623811721802, 'util', 0), ('boto/boto3', 0.5303450226783752, 'util', 1), ('tiangolo/sqlmodel', 0.5277955532073975, 'data', 0), ('geeogi/async-python-lambda-template', 0.5274588465690613, 'template', 0), ('nficano/python-lambda', 0.5259411334991455, 'util', 2), ('astronomer/astro-sdk', 0.525879442691803, 'ml-ops', 3), ('simonw/datasette', 0.525142252445221, 'data', 0), ('apache/spark', 0.5226028561592102, 'data', 0), ('aws/chalice', 0.5215028524398804, 'web', 3), ('eventual-inc/daft', 0.5070556998252869, 'pandas', 2), ('amzn/ion-python', 0.5067648887634277, 'data', 0), ('pola-rs/polars', 0.50155109167099, 'pandas', 0), ('aws/graph-notebook', 0.5009594559669495, 'jupyter', 0)]

143

4

null

7.15

140

127

59

0

14

24

14

140

498

90

3.6

59

1,496

ml-ops

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

[]

null

[]

null

zenml-io/zenml

zenml

3,428

370

40

Python

https://zenml.io

ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.

zenml-io

2024-01-14

2020-11-19

166

20.562125

https://avatars.githubusercontent.com/u/88676955?v=4

ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.

['ai', 'automl', 'data-science', 'deep-learning', 'devops-tools', 'llm', 'llmops', 'machine-learning', 'metadata-tracking', 'ml', 'mlops', 'pipelines', 'production-ready', 'pytorch', 'tensorflow', 'workflow', 'zenml']

2024-01-13

[('allegroai/clearml', 0.66759192943573, 'ml-ops', 4), ('polyaxon/polyaxon', 0.6621537804603577, 'ml-ops', 9), ('orchest/orchest', 0.6482174396514893, 'ml-ops', 3), ('ploomber/ploomber', 0.6197214722633362, 'ml-ops', 5), ('fmind/mlops-python-package', 0.6134677529335022, 'template', 3), ('avaiga/taipy', 0.5993794202804565, 'data', 3), ('bodywork-ml/bodywork-core', 0.5911761522293091, 'ml-ops', 3), ('getindata/kedro-kubeflow', 0.5848532915115356, 'ml-ops', 1), ('microsoft/nni', 0.5792359113693237, 'ml', 7), ('netflix/metaflow', 0.5758110880851746, 'ml-ops', 5), ('flyteorg/flyte', 0.5718936324119568, 'ml-ops', 5), ('bentoml/bentoml', 0.570486843585968, 'ml-ops', 5), ('apache/airflow', 0.5523534417152405, 'ml-ops', 4), ('zenml-io/mlstacks', 0.5486688613891602, 'ml-ops', 2), ('prefecthq/server', 0.5477404594421387, 'util', 1), ('lastmile-ai/aiconfig', 0.5441376566886902, 'util', 2), ('cheshire-cat-ai/core', 0.542861819267273, 'llm', 2), ('unionai-oss/unionml', 0.5419542193412781, 'ml-ops', 2), ('kestra-io/kestra', 0.5403246879577637, 'ml-ops', 1), ('jina-ai/jina', 0.5385584831237793, 'ml', 4), ('mage-ai/mage-ai', 0.5322885513305664, 'ml-ops', 3), ('tox-dev/tox', 0.5314726233482361, 'testing', 0), ('kubeflow/pipelines', 0.5281010866165161, 'ml-ops', 3), ('wandb/client', 0.5277370810508728, 'ml', 6), ('keras-team/autokeras', 0.5269325375556946, 'ml-dl', 4), ('selfexplainml/piml-toolbox', 0.5244457125663757, 'ml-interpretability', 0), ('mlflow/mlflow', 0.5241439938545227, 'ml-ops', 3), ('chaostoolkit/chaostoolkit', 0.5238291621208191, 'util', 1), ('ashleve/lightning-hydra-template', 0.5233268141746521, 'util', 3), ('meltano/meltano', 0.5218309760093689, 'ml-ops', 1), ('pythagora-io/gpt-pilot', 0.5131421089172363, 'llm', 1), ('titanml/takeoff', 0.5115346908569336, 'llm', 1), ('pathwaycom/llm-app', 0.504523515701294, 'llm', 3), ('whylabs/whylogs', 0.5043908357620239, 'util', 3), ('kedro-org/kedro', 0.5034431219100952, 'ml-ops', 2), ('determined-ai/determined', 0.5032854676246643, 'ml-ops', 6), ('alpha-vllm/llama2-accessory', 0.5014763474464417, 'llm', 0), ('ml-tooling/opyrator', 0.5011926293373108, 'viz', 1)]

84

3

null

16.25

345

300

38

0

41

39

41

345

579

90

1.7

59

1,610

llm

https://github.com/li-plus/chatglm.cpp

[]

null

[]

null

li-plus/chatglm.cpp

chatglm.cpp

2,154

330

32

C++

null

C++ implementation of ChatGLM-6B & ChatGLM2-6B & ChatGLM3 & more LLMs

li-plus

2024-01-14

2023-05-23

36

59.833333

null

C++ implementation of ChatGLM-6B & ChatGLM2-6B & ChatGLM3 & more LLMs

['baichuan', 'baichuan2', 'chatglm', 'chatglm2', 'chatglm3', 'codegeex2-6b', 'internlm', 'large-language-models', 'nlp']

2023-11-25

[('thudm/chatglm2-6b', 0.7250033617019653, 'llm', 2), ('intel/intel-extension-for-transformers', 0.6037748456001282, 'perf', 0), ('microsoft/autogen', 0.5944321751594543, 'llm', 0), ('nomic-ai/gpt4all', 0.5896359086036682, 'llm', 0), ('next-gpt/next-gpt', 0.5851370096206665, 'llm', 1), ('hiyouga/llama-factory', 0.5838776230812073, 'llm', 3), ('hiyouga/llama-efficient-tuning', 0.5838775634765625, 'llm', 3), ('hwchase17/langchain', 0.5806834697723389, 'llm', 0), ('bobazooba/xllm', 0.5759797692298889, 'llm', 1), ('salesforce/xgen', 0.5746297240257263, 'llm', 2), ('fasteval/fasteval', 0.5682762265205383, 'llm', 0), ('eth-sri/lmql', 0.5538818836212158, 'llm', 0), ('embedchain/embedchain', 0.5471507906913757, 'llm', 0), ('baichuan-inc/baichuan-13b', 0.5446141362190247, 'llm', 1), ('mlc-ai/web-llm', 0.542007565498352, 'llm', 0), ('run-llama/rags', 0.5372152328491211, 'llm', 0), ('zilliztech/gptcache', 0.5297065377235413, 'llm', 0), ('dylanhogg/llmgraph', 0.524939239025116, 'ml', 0), ('artidoro/qlora', 0.5086432099342346, 'llm', 0), ('salesforce/codet5', 0.5017570853233337, 'nlp', 1)]

11

6

null

1.37

122

48

8

2

12

18

12

122

223

90

1.8

59

1,423

llm

https://github.com/hegelai/prompttools

['prompt-engineering', 'testing']

null

[]

null

hegelai/prompttools

prompttools

2,100

158

24

Python

http://prompttools.readthedocs.io

Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB).

hegelai

2024-01-14

2023-06-25

31

67.123288

https://avatars.githubusercontent.com/u/136523567?v=4

Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB).

['deep-learning', 'developer-tools', 'embeddings', 'large-language-models', 'llms', 'machine-learning', 'prompt-engineering', 'vector-search']

['deep-learning', 'developer-tools', 'embeddings', 'large-language-models', 'llms', 'machine-learning', 'prompt-engineering', 'testing', 'vector-search']

2024-01-03

[('agenta-ai/agenta', 0.6764405965805054, 'llm', 3), ('tigerlab-ai/tiger', 0.6615456342697144, 'llm', 1), ('argilla-io/argilla', 0.644296407699585, 'nlp', 2), ('alpha-vllm/llama2-accessory', 0.6420565247535706, 'llm', 0), ('doccano/doccano', 0.6014738082885742, 'nlp', 1), ('llmware-ai/llmware', 0.6007319092750549, 'llm', 3), ('eugeneyan/open-llms', 0.5875352621078491, 'study', 2), ('nomic-ai/gpt4all', 0.5853099226951599, 'llm', 0), ('lancedb/lancedb', 0.5837177634239197, 'data', 0), ('salesforce/codet5', 0.580586850643158, 'nlp', 1), ('night-chen/toolqa', 0.5785123109817505, 'llm', 1), ('nebuly-ai/nebullvm', 0.5767601132392883, 'perf', 1), ('promptslab/awesome-prompt-engineering', 0.5741844773292542, 'study', 3), ('microsoft/promptflow', 0.5713818669319153, 'llm', 1), ('mooler0410/llmspracticalguide', 0.5667575001716614, 'study', 1), ('bentoml/openllm', 0.565089225769043, 'ml-ops', 0), ('young-geng/easylm', 0.5647485256195068, 'llm', 2), ('cheshire-cat-ai/core', 0.5646258592605591, 'llm', 1), ('confident-ai/deepeval', 0.5625259876251221, 'testing', 0), ('alphasecio/langchain-examples', 0.5608381628990173, 'llm', 0), ('conceptofmind/toolformer', 0.5603080987930298, 'llm', 0), ('bigscience-workshop/petals', 0.5545216202735901, 'data', 3), ('iryna-kondr/scikit-llm', 0.5520104765892029, 'llm', 2), ('deepset-ai/haystack', 0.5512160658836365, 'llm', 2), ('microsoft/lmops', 0.5492219924926758, 'llm', 0), ('salesforce/xgen', 0.5444273352622986, 'llm', 1), ('openbmb/toolbench', 0.5396706461906433, 'llm', 0), ('lm-sys/fastchat', 0.534296989440918, 'llm', 0), ('dylanhogg/llmgraph', 0.5341759324073792, 'ml', 0), ('pathwaycom/llm-app', 0.5340642333030701, 'llm', 1), ('h2oai/h2o-llmstudio', 0.5304824709892273, 'llm', 0), ('neuml/txtai', 0.5288627743721008, 'nlp', 4), ('hiyouga/llama-efficient-tuning', 0.5267438292503357, 'llm', 2), ('hiyouga/llama-factory', 0.5267438292503357, 'llm', 2), ('bigscience-workshop/promptsource', 0.526086688041687, 'nlp', 1), ('microsoft/semantic-kernel', 0.5153470039367676, 'llm', 0), ('paddlepaddle/paddlenlp', 0.514409065246582, 'llm', 0), ('openai/evals', 0.513576090335846, 'llm', 0), ('embedchain/embedchain', 0.5133116245269775, 'llm', 0), ('wandb/client', 0.5127788186073303, 'ml', 2), ('microsoft/generative-ai-for-beginners', 0.5114457607269287, 'study', 2), ('ludwig-ai/ludwig', 0.5103862881660461, 'ml-ops', 2), ('microsoft/nni', 0.5096408128738403, 'ml', 2), ('citadel-ai/langcheck', 0.5087067484855652, 'llm', 0), ('activeloopai/deeplake', 0.5075566172599792, 'ml-ops', 4), ('shishirpatil/gorilla', 0.5024935603141785, 'llm', 0), ('bobazooba/xllm', 0.5022645592689514, 'llm', 2), ('mlflow/mlflow', 0.5002617239952087, 'ml-ops', 1)]

10

3

null

11.04

28

15

7

0

5

10

5

28

41

90

1.5

59

1,741

llm

https://github.com/cheshire-cat-ai/core

[]

null

[]

null

cheshire-cat-ai/core

core

1,490

186

19

Python

https://cheshirecat.ai

Production ready AI assistant framework

cheshire-cat-ai

2024-01-13

2023-02-08

50

29.297753

https://avatars.githubusercontent.com/u/135242343?v=4

Production ready AI assistant framework

['ai', 'assistant', 'chatbot', 'docker', 'llm', 'plugin', 'vector-search']

2024-01-04

[('prefecthq/marvin', 0.7232251167297363, 'nlp', 2), ('embedchain/embedchain', 0.6973840594291687, 'llm', 2), ('pathwaycom/llm-app', 0.6957066059112549, 'llm', 2), ('deepset-ai/haystack', 0.6507551074028015, 'llm', 1), ('rcgai/simplyretrieve', 0.6481109261512756, 'llm', 0), ('lm-sys/fastchat', 0.6361826062202454, 'llm', 1), ('mindsdb/mindsdb', 0.6340122222900391, 'data', 3), ('microsoft/promptflow', 0.6264965534210205, 'llm', 2), ('rasahq/rasa', 0.6253566741943359, 'llm', 1), ('jina-ai/jina', 0.6241676807403564, 'ml', 1), ('microsoft/lmops', 0.6224048137664795, 'llm', 1), ('lastmile-ai/aiconfig', 0.6183017492294312, 'util', 2), ('sweepai/sweep', 0.6141369342803955, 'llm', 2), ('minimaxir/simpleaichat', 0.613688588142395, 'llm', 1), ('mlc-ai/mlc-llm', 0.6107067465782166, 'llm', 1), ('marqo-ai/marqo', 0.6071776151657104, 'ml', 1), ('llmware-ai/llmware', 0.6055431962013245, 'llm', 1), ('larsbaunwall/bricky', 0.598059892654419, 'llm', 1), ('bentoml/bentoml', 0.597477376461029, 'ml-ops', 1), ('nomic-ai/gpt4all', 0.5960567593574524, 'llm', 1), ('avaiga/taipy', 0.5955442786216736, 'data', 0), ('deeppavlov/deeppavlov', 0.5946456789970398, 'nlp', 2), ('microsoft/generative-ai-for-beginners', 0.594606339931488, 'study', 1), ('activeloopai/deeplake', 0.586743950843811, 'ml-ops', 3), ('togethercomputer/openchatkit', 0.5846368074417114, 'nlp', 1), ('chatarena/chatarena', 0.5810584425926208, 'llm', 1), ('antonosika/gpt-engineer', 0.5780220031738281, 'llm', 1), ('operand/agency', 0.5766038298606873, 'llm', 2), ('googlecloudplatform/vertex-ai-samples', 0.5718985199928284, 'ml', 1), ('run-llama/rags', 0.5686349868774414, 'llm', 2), ('nvidia/nemo', 0.5682287216186523, 'nlp', 0), ('hegelai/prompttools', 0.5646258592605591, 'llm', 1), ('krohling/bondai', 0.5621045827865601, 'llm', 0), ('lucidrains/toolformer-pytorch', 0.5618926882743835, 'llm', 0), ('microsoft/autogen', 0.5565327405929565, 'llm', 1), ('oegedijk/explainerdashboard', 0.5511989593505859, 'ml-interpretability', 0), ('thilinarajapakse/simpletransformers', 0.5490924715995789, 'nlp', 0), ('pytorchlightning/pytorch-lightning', 0.5489669442176819, 'ml-dl', 1), ('superduperdb/superduperdb', 0.547654926776886, 'data', 3), ('smol-ai/developer', 0.5464283227920532, 'llm', 1), ('h2oai/h2o-llmstudio', 0.5447829365730286, 'llm', 3), ('intel/intel-extension-for-transformers', 0.5444093346595764, 'perf', 1), ('microsoft/semantic-kernel', 0.5438644886016846, 'llm', 2), ('zenml-io/zenml', 0.542861819267273, 'ml-ops', 2), ('microsoft/chatgpt-robot-manipulation-prompts', 0.5411517024040222, 'llm', 0), ('hwchase17/langchain', 0.5408321619033813, 'llm', 1), ('fasteval/fasteval', 0.5404486060142517, 'llm', 1), ('alirezadir/machine-learning-interview-enlightener', 0.539746105670929, 'study', 1), ('argilla-io/argilla', 0.5388045907020569, 'nlp', 2), ('bigscience-workshop/petals', 0.5387936234474182, 'data', 1), ('transformeroptimus/superagi', 0.5372999310493469, 'llm', 2), ('lancedb/lancedb', 0.5356892347335815, 'data', 0), ('gunthercox/chatterbot', 0.53544682264328, 'nlp', 1), ('qdrant/qdrant', 0.5352751016616821, 'data', 1), ('nebuly-ai/nebullvm', 0.5341480374336243, 'perf', 2), ('ludwig-ai/ludwig', 0.5316358804702759, 'ml-ops', 1), ('tigerlab-ai/tiger', 0.5307193398475647, 'llm', 1), ('reloadware/reloadium', 0.5294227004051208, 'profiling', 1), ('kalliope-project/kalliope', 0.5292161107063293, 'util', 0), ('paddlepaddle/paddlenlp', 0.5240945219993591, 'llm', 1), ('killianlucas/open-interpreter', 0.5222368240356445, 'llm', 0), ('databrickslabs/dolly', 0.519527792930603, 'llm', 1), ('weaviate/verba', 0.5184066295623779, 'llm', 0), ('young-geng/easylm', 0.5178155899047852, 'llm', 1), ('fmind/mlops-python-package', 0.5158709287643433, 'template', 1), ('prefecthq/server', 0.5153402090072632, 'util', 0), ('polyaxon/datatile', 0.5147360563278198, 'pandas', 0), ('aimhubio/aim', 0.5146742463111877, 'ml-ops', 1), ('microsoft/promptcraft-robotics', 0.513721764087677, 'sim', 1), ('polyaxon/polyaxon', 0.512060284614563, 'ml-ops', 0), ('skypilot-org/skypilot', 0.510378360748291, 'llm', 0), ('microsoft/onnxruntime', 0.5098522901535034, 'ml', 0), ('facebookresearch/parlai', 0.5091173648834229, 'nlp', 0), ('huggingface/datasets', 0.508074939250946, 'nlp', 0), ('arize-ai/phoenix', 0.5057440400123596, 'ml-interpretability', 0), ('ml-tooling/opyrator', 0.5056010484695435, 'viz', 0), ('explosion/thinc', 0.5046352744102478, 'ml-dl', 1), ('mlflow/mlflow', 0.5041938424110413, 'ml-ops', 1), ('alphasecio/langchain-examples', 0.5036561489105225, 'llm', 1), ('eugeneyan/obsidian-copilot', 0.5033305287361145, 'llm', 2), ('pythagora-io/gpt-pilot', 0.5015438199043274, 'llm', 1)]

59

2

null

23.79

206

186

11

0

20

205

370

90

1.8

59

1,851

llm

https://github.com/epfllm/meditron

['medical', 'language-model']

null

[]

null

epfllm/meditron

meditron

1,291

131

20

Python

https://huggingface.co/epfl-llm

Meditron is a suite of open-source medical Large Language Models (LLMs).

epfllm

2024-01-13

2023-11-23

9

132.897059

https://avatars.githubusercontent.com/u/129088087?v=4

Meditron is a suite of open-source medical Large Language Models (LLMs).

[]

['language-model', 'medical']

2024-01-12

[('bigscience-workshop/biomedical', 0.5808714032173157, 'data', 0), ('qanastek/drbert', 0.5632989406585693, 'llm', 1), ('salesforce/xgen', 0.5559400320053101, 'llm', 1), ('tsinghuadatabasegroup/db-gpt', 0.5455986261367798, 'llm', 1), ('hannibal046/awesome-llm', 0.5448260307312012, 'study', 1), ('lianjiatech/belle', 0.5387333035469055, 'llm', 0), ('bobazooba/xllm', 0.5308298468589783, 'llm', 0), ('explosion/spacy-llm', 0.5306103825569153, 'llm', 0), ('kbressem/medalpaca', 0.5290087461471558, 'llm', 0), ('mooler0410/llmspracticalguide', 0.5282127261161804, 'study', 0), ('eleutherai/the-pile', 0.5269107818603516, 'data', 0), ('young-geng/easylm', 0.5253199934959412, 'llm', 1), ('lm-sys/fastchat', 0.5228744149208069, 'llm', 1), ('eugeneyan/open-llms', 0.5213027596473694, 'study', 0), ('dylanhogg/llmgraph', 0.5147185921669006, 'ml', 0), ('juncongmoo/pyllama', 0.5138061046600342, 'llm', 0), ('agenta-ai/agenta', 0.5137256979942322, 'llm', 0), ('cg123/mergekit', 0.5135393738746643, 'llm', 0), ('next-gpt/next-gpt', 0.5075371265411377, 'llm', 0), ('ibm/dromedary', 0.5021689534187317, 'llm', 1), ('lucidrains/medical-chatgpt', 0.5020337104797363, 'llm', 0), ('tigerlab-ai/tiger', 0.501189649105072, 'llm', 0), ('ctlllll/llm-toolmaker', 0.5010691285133362, 'llm', 1)]

9

6

null

1.15

25

17

2

0

25

33

90

1.3

59

164

term

https://github.com/tqdm/tqdm

[]

null

[]

1

null

tqdm/tqdm

tqdm

26,830

1,377

207

Python

https://tqdm.github.io

:zap: A Fast, Extensible Progress Bar for Python and CLI

tqdm

2024-01-14

2015-06-03

451

59.377174

https://avatars.githubusercontent.com/u/12731565?v=4

:zap: A Fast, Extensible Progress Bar for Python and CLI

['cli', 'console', 'discord', 'gui', 'jupyter', 'keras', 'meter', 'pandas', 'parallel', 'progress', 'progress-bar', 'progressbar', 'progressmeter', 'rate', 'telegram', 'terminal', 'time', 'utilities']

2023-08-10

[('wolph/python-progressbar', 0.7864949107170105, 'util', 9), ('rockhopper-technologies/enlighten', 0.7503482699394226, 'term', 0), ('rsalmei/alive-progress', 0.6888198256492615, 'util', 5), ('erotemic/ubelt', 0.5793629884719849, 'util', 1), ('sumerc/yappi', 0.549595832824707, 'profiling', 0), ('pypy/pypy', 0.5426979064941406, 'util', 0), ('hoffstadt/dearpygui', 0.5399507284164429, 'gui', 1), ('faster-cpython/ideas', 0.5260686874389648, 'perf', 0), ('pyqtgraph/pyqtgraph', 0.5137172341346741, 'viz', 0), ('faster-cpython/tools', 0.5104278922080994, 'perf', 0), ('ipython/ipyparallel', 0.5037369728088379, 'perf', 2), ('wxwidgets/phoenix', 0.5025215744972229, 'gui', 1)]

112

3

null

0.6

51

6

105

5

18

5

51

46

90

0.9

58

31

data

https://github.com/jaidedai/easyocr

[]

null

[]

null

jaidedai/easyocr

EasyOCR

20,722

2,893

299

Python

https://www.jaided.ai

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

jaidedai

2024-01-14

2020-03-14

202

102.366972

https://avatars.githubusercontent.com/u/61448029?v=4

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

['cnn', 'crnn', 'data-mining', 'deep-learning', 'easyocr', 'image-processing', 'information-retrieval', 'lstm', 'machine-learning', 'ocr', 'optical-character-recognition', 'pytorch', 'scene-text', 'scene-text-recognition']

2023-09-04

[('rapidai/rapidocr', 0.6983810663223267, 'data', 3), ('alibaba/easynlp', 0.5166882872581482, 'nlp', 3), ('lucidrains/imagen-pytorch', 0.5161765217781067, 'ml-dl', 1), ('madmaze/pytesseract', 0.5150726437568665, 'data', 1), ('hrnet/hrnet-semantic-segmentation', 0.5142496824264526, 'ml', 0), ('imageio/imageio', 0.5057637095451355, 'util', 0), ('huggingface/datasets', 0.5004381537437439, 'nlp', 3)]

128

1

null

0.38

73

17

47

4

1

6

1

73

79

90

1.1

58

1,777

ml-dl

https://github.com/openai/clip

['clip']

null

[]

null

openai/clip

CLIP

20,129

2,785

301

Jupyter Notebook

null

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

openai

2024-01-14

2020-12-16

162

123.599123

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

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

['deep-learning', 'machine-learning']

['clip', 'deep-learning', 'machine-learning']

2023-07-08

[('jina-ai/clip-as-service', 0.6114118695259094, 'nlp', 1), ('rom1504/clip-retrieval', 0.5981614589691162, 'ml', 2), ('alibaba/easynlp', 0.5683876872062683, 'nlp', 2), ('google-research/electra', 0.5659348964691162, 'ml-dl', 1), ('microsoft/unilm', 0.5614645481109619, 'nlp', 0), ('salesforce/blip', 0.5517219305038452, 'diffusion', 0), ('yueyu1030/attrprompt', 0.5419546961784363, 'llm', 0), ('lucidrains/imagen-pytorch', 0.5373484492301941, 'ml-dl', 1), ('ofa-sys/ofa', 0.5293337106704712, 'llm', 0), ('saharmor/dalle-playground', 0.5254179239273071, 'diffusion', 1), ('compvis/stable-diffusion', 0.5251467227935791, 'diffusion', 0), ('openai/finetune-transformer-lm', 0.5225598812103271, 'llm', 0), ('lucidrains/deep-daze', 0.5211201906204224, 'ml', 1), ('nomic-ai/nomic', 0.5130395889282227, 'nlp', 0), ('nvlabs/prismer', 0.5122661590576172, 'diffusion', 0), ('jina-ai/finetuner', 0.505680501461029, 'ml', 0), ('extreme-bert/extreme-bert', 0.5033907890319824, 'llm', 2)]

20

4

null

0.04

38

7

37

6

0

38

47

90

1.2

58

103

ml-ops

https://github.com/spotify/luigi

[]

null

[]

null

spotify/luigi

luigi

17,022

2,388

477

Python

null

Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

spotify

2024-01-13

2012-09-20

592

28.718727

https://avatars.githubusercontent.com/u/251374?v=4

Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

['hadoop', 'luigi', 'orchestration-framework', 'scheduling']

2024-01-08

[('backtick-se/cowait', 0.5577235221862793, 'util', 0), ('dagster-io/dagster', 0.5423729419708252, 'ml-ops', 0), ('apache/spark', 0.537491500377655, 'data', 0), ('flyteorg/flyte', 0.5278602242469788, 'ml-ops', 0), ('ploomber/ploomber', 0.5267884135246277, 'ml-ops', 0), ('kestra-io/kestra', 0.5256256461143494, 'ml-ops', 0), ('fastai/fastcore', 0.5237264037132263, 'util', 0), ('dagworks-inc/hamilton', 0.5168716907501221, 'ml-ops', 0), ('prefecthq/prefect', 0.5162726640701294, 'ml-ops', 0), ('fugue-project/fugue', 0.5144204497337341, 'pandas', 0), ('malloydata/malloy-py', 0.5109559893608093, 'data', 0), ('orchest/orchest', 0.5029619336128235, 'ml-ops', 0)]

613

4

null

0.44

22

16

138

0

4

6

4

22

19

90

0.9

58

668

diffusion

https://github.com/borisdayma/dalle-mini

[]

null

[]

null

borisdayma/dalle-mini

dalle-mini

14,484

1,186

110

Python

https://www.craiyon.com

DALL·E Mini - Generate images from a text prompt

borisdayma

2024-01-13

2021-07-03

134

107.744952

null

DALL·E Mini - Generate images from a text prompt

[]

2023-08-22

[('saharmor/dalle-playground', 0.7689334750175476, 'diffusion', 0), ('lucidrains/deep-daze', 0.5611160397529602, 'ml', 0), ('laion-ai/dalle2-laion', 0.5235878229141235, 'diffusion', 0), ('1j01/textual-paint', 0.510983943939209, 'term', 0), ('thudm/cogvideo', 0.5106388926506042, 'ml', 0), ('openai/image-gpt', 0.5032017827033997, 'llm', 0)]

28

7

null

0.27

3

0

31

5

0

2

3

90

1

58

1,473

web

https://github.com/getpelican/pelican

[]

null

[]

null

getpelican/pelican

pelican

11,956

1,832

339

Python

https://getpelican.com

Static site generator that supports Markdown and reST syntax. Powered by Python.

getpelican

2024-01-13

2010-10-16

693

17.241862

https://avatars.githubusercontent.com/u/2043492?v=4

Static site generator that supports Markdown and reST syntax. Powered by Python.

['pelican', 'static-site-generator']

2024-01-12

[('python-markdown/markdown', 0.6716626882553101, 'util', 0), ('mkdocs/mkdocs', 0.5778642296791077, 'util', 1), ('sphinx-doc/sphinx', 0.5320377349853516, 'util', 0), ('google/latexify_py', 0.5140236020088196, 'util', 0), ('instagram/monkeytype', 0.5085812211036682, 'typing', 0)]

454

6

null

2.4

141

110

161

0

2

5

2

141

258

90

1.8

58

1,176

llm

https://github.com/databrickslabs/dolly

[]

null

[]

null

databrickslabs/dolly

dolly

10,687

1,161

132

Python

https://www.databricks.com/blog/2023/03/24/hello-dolly-democratizing-magic-chatgpt-open-models.html

Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform

databrickslabs

2024-01-13

2023-03-24

44

239.772436

https://avatars.githubusercontent.com/u/49501376?v=4

Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform

['chatbot', 'databricks', 'dolly', 'gpt']

2023-06-30

[('lm-sys/fastchat', 0.6816812753677368, 'llm', 1), ('rasahq/rasa', 0.6492189168930054, 'llm', 1), ('microsoft/autogen', 0.6176787614822388, 'llm', 2), ('deeppavlov/deeppavlov', 0.5981650352478027, 'nlp', 1), ('huggingface/text-generation-inference', 0.5939000248908997, 'llm', 1), ('infinitylogesh/mutate', 0.5938010811805725, 'nlp', 0), ('eleutherai/the-pile', 0.5931678414344788, 'data', 0), ('blinkdl/chatrwkv', 0.592911422252655, 'llm', 1), ('hannibal046/awesome-llm', 0.5911993384361267, 'study', 1), ('togethercomputer/redpajama-data', 0.5899375677108765, 'llm', 0), ('run-llama/rags', 0.5840879678726196, 'llm', 1), ('huggingface/transformers', 0.5820251703262329, 'nlp', 0), ('nvidia/nemo', 0.5758463144302368, 'nlp', 0), ('ravenscroftj/turbopilot', 0.5751809477806091, 'llm', 0), ('jonasgeiping/cramming', 0.5738639831542969, 'nlp', 0), ('embedchain/embedchain', 0.5724859237670898, 'llm', 0), ('fasteval/fasteval', 0.5695880055427551, 'llm', 0), ('nomic-ai/gpt4all', 0.568418562412262, 'llm', 1), ('freedomintelligence/llmzoo', 0.5654436945915222, 'llm', 0), ('lianjiatech/belle', 0.5646651387214661, 'llm', 0), ('ctlllll/llm-toolmaker', 0.5645289421081543, 'llm', 0), ('huggingface/datasets', 0.5632453560829163, 'nlp', 0), ('facebookresearch/parlai', 0.5629587769508362, 'nlp', 0), ('yueyu1030/attrprompt', 0.5601263642311096, 'llm', 0), ('killianlucas/open-interpreter', 0.559283971786499, 'llm', 0), ('argilla-io/argilla', 0.5544888973236084, 'nlp', 0), ('openlmlab/moss', 0.5508648157119751, 'llm', 0), ('explosion/spacy-llm', 0.5508483648300171, 'llm', 1), ('nvidia/deeplearningexamples', 0.548334538936615, 'ml-dl', 0), ('minimaxir/aitextgen', 0.5475108623504639, 'llm', 0), ('allenai/allennlp', 0.5456701517105103, 'nlp', 0), ('xtekky/gpt4free', 0.5452688932418823, 'llm', 2), ('bigscience-workshop/petals', 0.5440896153450012, 'data', 2), ('deepset-ai/haystack', 0.5437489151954651, 'llm', 0), ('bytedance/lightseq', 0.5437467098236084, 'nlp', 1), ('extreme-bert/extreme-bert', 0.5428717136383057, 'llm', 0), ('llmware-ai/llmware', 0.5424628257751465, 'llm', 0), ('baichuan-inc/baichuan-13b', 0.5416833758354187, 'llm', 0), ('gunthercox/chatterbot-corpus', 0.541381299495697, 'nlp', 0), ('gunthercox/chatterbot', 0.5377427339553833, 'nlp', 1), ('deepset-ai/farm', 0.5375163555145264, 'nlp', 0), ('ai21labs/lm-evaluation', 0.5367728471755981, 'llm', 0), ('young-geng/easylm', 0.5357629656791687, 'llm', 1), ('keras-team/keras-nlp', 0.5354406237602234, 'nlp', 0), ('juncongmoo/pyllama', 0.5352316498756409, 'llm', 0), ('lupantech/chameleon-llm', 0.5342248678207397, 'llm', 0), ('optimalscale/lmflow', 0.5335168242454529, 'llm', 0), ('openbmb/toolbench', 0.5324987173080444, 'llm', 0), ('nltk/nltk', 0.5305935144424438, 'nlp', 0), ('reasoning-machines/pal', 0.5263434052467346, 'llm', 0), ('next-gpt/next-gpt', 0.5201497077941895, 'llm', 0), ('nebuly-ai/nebullvm', 0.5198688507080078, 'perf', 0), ('rcgai/simplyretrieve', 0.5198461413383484, 'llm', 0), ('cheshire-cat-ai/core', 0.519527792930603, 'llm', 1), ('microsoft/lora', 0.5188591480255127, 'llm', 0), ('kyegomez/tree-of-thoughts', 0.5184698104858398, 'llm', 0), ('guidance-ai/guidance', 0.5170300602912903, 'llm', 0), ('salesforce/blip', 0.516700029373169, 'diffusion', 0), ('microsoft/unilm', 0.5165247917175293, 'nlp', 0), ('paddlepaddle/paddlenlp', 0.5159105062484741, 'llm', 0), ('mindsdb/mindsdb', 0.5149961113929749, 'data', 2), ('stanfordnlp/dspy', 0.5139095783233643, 'llm', 0), ('srush/minichain', 0.5138243436813354, 'llm', 0), ('aiwaves-cn/agents', 0.5108225345611572, 'nlp', 0), ('cg123/mergekit', 0.5106679797172546, 'llm', 0), ('tatsu-lab/stanford_alpaca', 0.5099220275878906, 'llm', 0), ('explosion/spacy', 0.5090692043304443, 'nlp', 0), ('microsoft/generative-ai-for-beginners', 0.5089173316955566, 'study', 1), ('thilinarajapakse/simpletransformers', 0.507858157157898, 'nlp', 0), ('norskregnesentral/skweak', 0.5073420405387878, 'nlp', 0), ('merantix-momentum/squirrel-core', 0.5068414807319641, 'ml', 0), ('thudm/chatglm2-6b', 0.506598949432373, 'llm', 0), ('bobazooba/xllm', 0.5060972571372986, 'llm', 1), ('google-research/language', 0.5051336288452148, 'nlp', 0), ('bigscience-workshop/biomedical', 0.5042515397071838, 'data', 0), ('titanml/takeoff', 0.5038862228393555, 'llm', 0), ('mlc-ai/web-llm', 0.5030844807624817, 'llm', 0), ('prefecthq/marvin', 0.5005607008934021, 'nlp', 1), ('iryna-kondr/scikit-llm', 0.5001913905143738, 'llm', 0), ('night-chen/toolqa', 0.5000602006912231, 'llm', 0)]

14

3

null

1.31

3

1

10

7

0

3

2

90

0.7

58

1,798

web

https://github.com/aws/chalice

[]

null

[]

1

null

aws/chalice

chalice

10,151

1,087

239

Python

null

Python Serverless Microframework for AWS

aws

2024-01-13

2016-05-27

400

25.341298

https://avatars.githubusercontent.com/u/2232217?v=4

Python Serverless Microframework for AWS

['aws', 'aws-apigateway', 'aws-lambda', 'cloud', 'lambda', 'python27', 'serverless', 'serverless-framework']

2023-12-14

[('nficano/python-lambda', 0.9045315980911255, 'util', 3), ('jordaneremieff/mangum', 0.677313506603241, 'web', 4), ('aws/aws-lambda-python-runtime-interface-client', 0.672527015209198, 'util', 0), ('boto/boto3', 0.66681307554245, 'util', 2), ('geeogi/async-python-lambda-template', 0.6311405301094055, 'template', 0), ('rpgreen/apilogs', 0.6253986954689026, 'util', 4), ('localstack/localstack', 0.5926650762557983, 'util', 2), ('pallets/quart', 0.5842033624649048, 'web', 0), ('falconry/falcon', 0.5833958387374878, 'web', 0), ('samuelcolvin/aioaws', 0.5785471200942993, 'data', 1), ('backtick-se/cowait', 0.5667223334312439, 'util', 0), ('pynamodb/pynamodb', 0.5429194569587708, 'data', 1), ('eventual-inc/daft', 0.5330685973167419, 'pandas', 0), ('awslabs/python-deequ', 0.5238412618637085, 'ml', 1), ('aws/serverless-application-model', 0.5237606167793274, 'util', 3), ('lithops-cloud/lithops', 0.5222293138504028, 'ml-ops', 1), ('aws/aws-sdk-pandas', 0.5215028524398804, 'pandas', 3), ('micropython/micropython', 0.5198830366134644, 'util', 0), ('pallets/flask', 0.5189753770828247, 'web', 0), ('neoteroi/blacksheep', 0.5133174657821655, 'web', 0), ('pyinfra-dev/pyinfra', 0.5128588080406189, 'util', 0), ('pylons/waitress', 0.5070593953132629, 'web', 0), ('developmentseed/geolambda', 0.5061563849449158, 'gis', 0), ('amzn/ion-python', 0.5045038461685181, 'data', 0), ('aws-samples/serverless-pdf-chat', 0.5006961226463318, 'llm', 1)]

200

5

null

0.88

51

17

93

1

0

12

51

64

90

1.3

58

1,125

util

https://github.com/secdev/scapy

[]

null

[]

null

secdev/scapy

scapy

9,682

2,001

228

Python

https://scapy.net

Scapy: the Python-based interactive packet manipulation program & library. Supports Python 2 & Python 3.

secdev

2024-01-13

2015-10-01

434

22.2721

https://avatars.githubusercontent.com/u/14927208?v=4

Scapy: the Python-based interactive packet manipulation program & library. Supports Python 2 & Python 3.

['network', 'network-analysis', 'network-discovery', 'network-security', 'network-visualization', 'packet-analyser', 'packet-capture', 'packet-crafting', 'packet-sniffer', 'pcap', 'scapy', 'security', 'security-tools']

2024-01-01

[('hoffstadt/dearpygui', 0.5505430698394775, 'gui', 0), ('paramiko/paramiko', 0.5442431569099426, 'util', 0), ('pyca/pynacl', 0.5417189002037048, 'util', 0), ('alexmojaki/snoop', 0.5415452122688293, 'debug', 0), ('requests/toolbelt', 0.5415241122245789, 'util', 0), ('pyston/pyston', 0.5411231517791748, 'util', 0), ('pypy/pypy', 0.5363399982452393, 'util', 0), ('westhealth/pyvis', 0.5347074866294861, 'graph', 1), ('ethereum/web3.py', 0.5224668383598328, 'crypto', 0), ('py4j/py4j', 0.5051878690719604, 'util', 0), ('networkx/networkx', 0.5021397471427917, 'graph', 0)]

446

4

null

3.81

267

229

101

1

0

64

267

140

90

0.5

58

285

data

https://github.com/simonw/datasette

[]

null

[]

1

null

simonw/datasette

datasette

8,614

623

102

Python

https://datasette.io

An open source multi-tool for exploring and publishing data

simonw

2024-01-13

2017-10-23

327

26.331004

null

An open source multi-tool for exploring and publishing data

['asgi', 'automatic-api', 'csv', 'datasets', 'datasette', 'datasette-io', 'docker', 'json', 'sql', 'sqlite']

2024-01-12

[('airbytehq/airbyte', 0.663290798664093, 'data', 0), ('meltano/meltano', 0.6087267398834229, 'ml-ops', 0), ('saulpw/visidata', 0.6051476001739502, 'term', 3), ('airbnb/omniduct', 0.6034160256385803, 'data', 0), ('zenodo/zenodo', 0.6021542549133301, 'util', 0), ('tiangolo/full-stack-fastapi-postgresql', 0.5789318084716797, 'template', 2), ('orchest/orchest', 0.5611031651496887, 'ml-ops', 1), ('unstructured-io/unstructured-api', 0.5543832778930664, 'data', 0), ('dagster-io/dagster', 0.5505277514457703, 'ml-ops', 0), ('tiangolo/sqlmodel', 0.5402882695198059, 'data', 2), ('ploomber/ploomber', 0.5322346091270447, 'ml-ops', 0), ('starlite-api/starlite', 0.526665985584259, 'web', 1), ('polyaxon/datatile', 0.525797963142395, 'pandas', 0), ('aws/aws-sdk-pandas', 0.525142252445221, 'pandas', 0), ('intake/intake', 0.5237489938735962, 'data', 0), ('falconry/falcon', 0.5216467380523682, 'web', 1), ('piccolo-orm/piccolo_admin', 0.5212988257408142, 'data', 2), ('streamlit/streamlit', 0.5206021666526794, 'viz', 0), ('plotly/dash', 0.5204837918281555, 'viz', 0), ('coleifer/peewee', 0.5180539488792419, 'data', 1), ('mattbierbaum/arxiv-public-datasets', 0.5164351463317871, 'data', 0), ('google/ml-metadata', 0.5161576271057129, 'ml-ops', 0), ('holoviz/panel', 0.5158277153968811, 'viz', 0), ('mage-ai/mage-ai', 0.5153981447219849, 'ml-ops', 1), ('airbnb/knowledge-repo', 0.5094085335731506, 'data', 0), ('darribas/gds_env', 0.5070315599441528, 'gis', 1), ('hyperqueryhq/whale', 0.5066918134689331, 'data', 0), ('mito-ds/monorepo', 0.5057903528213501, 'jupyter', 0), ('whylabs/whylogs', 0.5017004609107971, 'util', 0), ('python-odin/odin', 0.5009411573410034, 'util', 2)]

75

4

null

2.62

67

20

76

0

10

23

10

67

95

90

1.4

58

1,308

study

https://github.com/mooler0410/llmspracticalguide

['awesome']

null

[]

null

mooler0410/llmspracticalguide

LLMsPracticalGuide

7,737

583

168

null

https://arxiv.org/abs/2304.13712v2

A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

mooler0410

2024-01-14

2023-04-23

40

192.053191

null

A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

['large-language-models', 'natural-language-processing', 'nlp', 'survey']

['awesome', 'large-language-models', 'natural-language-processing', 'nlp', 'survey']

2023-08-06

[('salesforce/xgen', 0.6607375741004944, 'llm', 2), ('eugeneyan/open-llms', 0.6558331847190857, 'study', 2), ('explosion/spacy-llm', 0.6550344228744507, 'llm', 3), ('dylanhogg/llmgraph', 0.6462394595146179, 'ml', 0), ('young-geng/easylm', 0.6447182893753052, 'llm', 2), ('argilla-io/argilla', 0.6409274935722351, 'nlp', 2), ('paddlepaddle/paddlenlp', 0.632652759552002, 'llm', 1), ('confident-ai/deepeval', 0.6305698156356812, 'testing', 0), ('hannibal046/awesome-llm', 0.6038196682929993, 'study', 1), ('llmware-ai/llmware', 0.6028851270675659, 'llm', 2), ('night-chen/toolqa', 0.6017274260520935, 'llm', 1), ('nomic-ai/gpt4all', 0.6006626486778259, 'llm', 0), ('ibm/dromedary', 0.5917999148368835, 'llm', 0), ('eleutherai/the-pile', 0.5788910984992981, 'data', 0), ('salesforce/codet5', 0.5782813429832458, 'nlp', 1), ('alpha-vllm/llama2-accessory', 0.5765708088874817, 'llm', 0), ('hiyouga/llama-efficient-tuning', 0.5758503079414368, 'llm', 1), ('hiyouga/llama-factory', 0.575850248336792, 'llm', 1), ('microsoft/torchscale', 0.5727461576461792, 'llm', 1), ('lianjiatech/belle', 0.5725797414779663, 'llm', 0), ('deepset-ai/haystack', 0.5716323256492615, 'llm', 2), ('hegelai/prompttools', 0.5667575001716614, 'llm', 1), ('tigerlab-ai/tiger', 0.5661339163780212, 'llm', 1), ('juncongmoo/pyllama', 0.5613843202590942, 'llm', 0), ('ray-project/ray-llm', 0.5559900999069214, 'llm', 1), ('agenta-ai/agenta', 0.5545148849487305, 'llm', 1), ('bobazooba/xllm', 0.5522361397743225, 'llm', 1), ('infinitylogesh/mutate', 0.5493302345275879, 'nlp', 0), ('nebuly-ai/nebullvm', 0.5461376905441284, 'perf', 1), ('microsoft/generative-ai-for-beginners', 0.5448139309883118, 'study', 0), ('tatsu-lab/stanford_alpaca', 0.5418017506599426, 'llm', 0), ('explosion/spacy-models', 0.5413009524345398, 'nlp', 2), ('cg123/mergekit', 0.5390522480010986, 'llm', 0), ('microsoft/jarvis', 0.5358785390853882, 'llm', 0), ('vllm-project/vllm', 0.5348982810974121, 'llm', 0), ('iryna-kondr/scikit-llm', 0.5321641564369202, 'llm', 0), ('jina-ai/thinkgpt', 0.5296755433082581, 'llm', 0), ('aiwaves-cn/agents', 0.5291845202445984, 'nlp', 0), ('epfllm/meditron', 0.5282127261161804, 'llm', 0), ('whitead/paper-qa', 0.5275523066520691, 'llm', 1), ('lexpredict/lexpredict-lexnlp', 0.525945782661438, 'nlp', 1), ('citadel-ai/langcheck', 0.5259177088737488, 'llm', 0), ('spcl/graph-of-thoughts', 0.5230525732040405, 'llm', 1), ('predibase/llm_distillation_playbook', 0.5229454040527344, 'llm', 0), ('nltk/nltk', 0.5214924812316895, 'nlp', 2), ('shishirpatil/gorilla', 0.5199465751647949, 'llm', 0), ('nat/openplayground', 0.5199169516563416, 'llm', 0), ('next-gpt/next-gpt', 0.5197857022285461, 'llm', 1), ('bentoml/openllm', 0.516433596611023, 'ml-ops', 0), ('bigscience-workshop/petals', 0.511151909828186, 'data', 2), ('microsoft/autogen', 0.5106921792030334, 'llm', 0), ('bigscience-workshop/biomedical', 0.5104791522026062, 'data', 0), ('graykode/nlp-tutorial', 0.510050356388092, 'study', 2), ('deep-diver/pingpong', 0.5093730688095093, 'llm', 0), ('artidoro/qlora', 0.5064951181411743, 'llm', 0), ('lm-sys/fastchat', 0.5060816407203674, 'llm', 0), ('neuml/txtai', 0.5057186484336853, 'nlp', 2), ('intel/intel-extension-for-transformers', 0.5048488974571228, 'perf', 0), ('allenai/allennlp', 0.5047245025634766, 'nlp', 2), ('zilliztech/gptcache', 0.5039639472961426, 'llm', 0), ('guidance-ai/guidance', 0.5038110613822937, 'llm', 0), ('hwchase17/langchain', 0.5019939541816711, 'llm', 0), ('freedomintelligence/llmzoo', 0.5019903182983398, 'llm', 0), ('microsoft/unilm', 0.5018056631088257, 'nlp', 1)]

13

6

null

1.67

7

1

9

5

0

7

2

90

0.3

58

710

util

https://github.com/jazzband/pip-tools

[]

null

[]

null

jazzband/pip-tools

pip-tools

7,269

607

104

Python

https://pip-tools.rtfd.io

A set of tools to keep your pinned Python dependencies fresh.

jazzband

2024-01-13

2012-09-10

594

12.234431

https://avatars.githubusercontent.com/u/15129049?v=4

A set of tools to keep your pinned Python dependencies fresh.

['hashes', 'lockfile', 'packaging', 'pip', 'pip-compile', 'pip-tools', 'requirements', 'setuptools']

2024-01-05

[('pdm-project/pdm', 0.6316167116165161, 'util', 1), ('thoth-station/micropipenv', 0.6279821991920471, 'util', 2), ('python-poetry/poetry', 0.5958384871482849, 'util', 1), ('pypa/hatch', 0.5882735848426819, 'util', 1), ('indygreg/pyoxidizer', 0.5879077315330505, 'util', 1), ('pypi/warehouse', 0.5816731452941895, 'util', 0), ('pyupio/safety', 0.5792787671089172, 'security', 0), ('mitsuhiko/rye', 0.5770611763000488, 'util', 1), ('tezromach/python-package-template', 0.5716038346290588, 'template', 0), ('pypa/pipenv', 0.5539312958717346, 'util', 2), ('pomponchik/instld', 0.5494071245193481, 'util', 1), ('pypa/flit', 0.5470367670059204, 'util', 1), ('omry/omegaconf', 0.527951180934906, 'util', 0), ('mkdocstrings/griffe', 0.5269049406051636, 'util', 0), ('dosisod/refurb', 0.5137325525283813, 'util', 0), ('trailofbits/pip-audit', 0.5135653614997864, 'security', 1), ('ofek/pyapp', 0.5037299394607544, 'util', 1)]

203

6

null

3.46

73

41

138

0

8

11

8

73

204

90

2.8

58

1,216

util

https://github.com/googlecloudplatform/python-docs-samples

[]

null

[]

null

googlecloudplatform/python-docs-samples

python-docs-samples

6,777

6,352

388

Jupyter Notebook

null

Code samples used on cloud.google.com

googlecloudplatform

2024-01-13

2015-05-04

456

14.857188

https://avatars.githubusercontent.com/u/2810941?v=4

Code samples used on cloud.google.com

['samples']

2024-01-12

[('googlecloudplatform/vertex-ai-samples', 0.5574522018432617, 'ml', 1)]

591

4

null

32.98

467

365

106

0

466

602

90

1.3

58

1,345

llm

https://github.com/bhaskatripathi/pdfgpt

[]

null

[]

null

bhaskatripathi/pdfgpt

pdfGPT

6,422

805

48

Python

https://bhaskartripathi-pdfgpt-turbo.hf.space

PDF GPT allows you to chat with the contents of your PDF file by using GPT capabilities. The most effective open source solution to turn your pdf files in a chatbot!

bhaskatripathi

2024-01-13

2023-03-07

47

136.638298

null

PDF GPT allows you to chat with the contents of your PDF file by using GPT capabilities. The most effective open source solution to turn your pdf files in a chatbot!

['chatpdf', 'chatwithpdf', 'pdfgpt']

2023-09-04

[('mayooear/gpt4-pdf-chatbot-langchain', 0.6926714777946472, 'llm', 0), ('h2oai/h2ogpt', 0.5438480377197266, 'llm', 0), ('minimaxir/simpleaichat', 0.5324260592460632, 'llm', 0), ('run-llama/rags', 0.5228466987609863, 'llm', 0), ('jorisschellekens/borb', 0.5003618597984314, 'util', 0)]

11

4

null

2.06

11

6

10

4

0

11

14

90

1.3

58

545

ml

https://github.com/open-mmlab/mmediting

[]

null

[]

null

open-mmlab/mmediting

mmagic

6,233

1,032

98

Jupyter Notebook

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

OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.

open-mmlab

2024-01-14

2019-08-23

231

26.916101

https://avatars.githubusercontent.com/u/10245193?v=4

OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.

['aigc', 'computer-vision', 'deep-learning', 'diffusion', 'diffusion-models', 'generative-adversarial-network', 'generative-ai', 'image-editing', 'image-generation', 'image-processing', 'image-synthesis', 'inpainting', 'matting', 'pytorch', 'super-resolution', 'text2image', 'video-frame-interpolation', 'video-interpolation', 'video-super-resolution']

2024-01-10

[('roboflow/supervision', 0.6228029727935791, 'ml', 4), ('albumentations-team/albumentations', 0.5985205769538879, 'ml-dl', 2), ('invoke-ai/invokeai', 0.5879208445549011, 'diffusion', 2), ('lucidrains/imagen-pytorch', 0.5784053206443787, 'ml-dl', 1), ('automatic1111/stable-diffusion-webui', 0.5722965002059937, 'diffusion', 5), ('sanster/lama-cleaner', 0.5644564032554626, 'ml-dl', 2), ('bentoml/bentoml', 0.5629596710205078, 'ml-ops', 2), ('huggingface/datasets', 0.5629530549049377, 'nlp', 3), ('fourthbrain/fastapi-for-machine-learning-live-demo', 0.5617620944976807, 'web', 0), ('open-mmlab/mmsegmentation', 0.5589426755905151, 'ml', 1), ('rwightman/pytorch-image-models', 0.5570010542869568, 'ml-dl', 1), ('xpixelgroup/basicsr', 0.5552972555160522, 'ml-dl', 2), ('lucidrains/deep-daze', 0.5528916716575623, 'ml', 1), ('nvlabs/gcvit', 0.5518020987510681, 'diffusion', 1), ('saharmor/dalle-playground', 0.5508294105529785, 'diffusion', 0), ('lutzroeder/netron', 0.5503832101821899, 'ml', 2), ('aleju/imgaug', 0.5496745109558105, 'ml', 1), ('nateraw/stable-diffusion-videos', 0.5489683747291565, 'diffusion', 0), ('awslabs/autogluon', 0.5436397194862366, 'ml', 3), ('activeloopai/deeplake', 0.5429714918136597, 'ml-ops', 4), ('openai/image-gpt', 0.5370244383811951, 'llm', 0), ('luodian/otter', 0.53682941198349, 'llm', 1), ('davidadsp/generative_deep_learning_2nd_edition', 0.5358924269676208, 'study', 3), ('idea-research/grounded-segment-anything', 0.5329544544219971, 'llm', 1), ('microsoft/generative-ai-for-beginners', 0.532807469367981, 'study', 1), ('iperov/deepfacelab', 0.5308938026428223, 'ml-dl', 1), ('mosaicml/composer', 0.5261213183403015, 'ml-dl', 2), ('ddbourgin/numpy-ml', 0.5251216292381287, 'ml', 0), ('deci-ai/super-gradients', 0.5221906900405884, 'ml-dl', 3), ('fepegar/torchio', 0.5203762650489807, 'ml-dl', 2), ('carson-katri/dream-textures', 0.5198704600334167, 'diffusion', 1), ('thudm/cogvideo', 0.5184540748596191, 'ml', 0), ('roboflow/notebooks', 0.5162927508354187, 'study', 3), ('chenyangqiqi/fatezero', 0.5141303539276123, 'diffusion', 1), ('alibaba/easynlp', 0.5134133696556091, 'nlp', 2), ('tensorflow/tensorflow', 0.5129084587097168, 'ml-dl', 1), ('lucidrains/dalle2-pytorch', 0.5127325654029846, 'diffusion', 1), ('espnet/espnet', 0.5127143859863281, 'nlp', 2), ('blakeblackshear/frigate', 0.5040640234947205, 'util', 0), ('promptslab/awesome-prompt-engineering', 0.5029655694961548, 'study', 1), ('zulko/moviepy', 0.5014966726303101, 'util', 0), ('huggingface/autotrain-advanced', 0.5010733008384705, 'ml', 1)]

126

4

null

5.38

71

44

54

0

8

6

8

71

57

90

0.8

58

1,295

ml-ops

https://github.com/bentoml/bentoml

[]

null

[]

null

bentoml/bentoml

BentoML

6,093

692

72

Python

https://bentoml.com

Build Production-Grade AI Applications

bentoml

2024-01-13

2019-04-02

252

24.178571

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

Build Production-Grade AI Applications

['ai', 'ai-infra', 'bentoml', 'deep-learning', 'generative-ai', 'inference-api', 'kubernetes', 'llmops', 'lmops', 'machine-learning', 'microservices', 'ml-platform', 'mlops', 'model-deployment', 'model-inference', 'model-management', 'model-serving', 'multimodal-deep-learning']

2024-01-11

[('hpcaitech/colossalai', 0.719754159450531, 'llm', 2), ('polyaxon/polyaxon', 0.70576012134552, 'ml-ops', 4), ('jina-ai/jina', 0.692993700504303, 'ml', 6), ('netflix/metaflow', 0.6758896708488464, 'ml-ops', 6), ('lastmile-ai/aiconfig', 0.6600256562232971, 'util', 2), ('alirezadir/machine-learning-interview-enlightener', 0.657772958278656, 'study', 3), ('avaiga/taipy', 0.6463702321052551, 'data', 1), ('mlc-ai/mlc-llm', 0.6454080939292908, 'llm', 0), ('microsoft/promptflow', 0.6441292762756348, 'llm', 1), ('googlecloudplatform/vertex-ai-samples', 0.6409500241279602, 'ml', 2), ('mlflow/mlflow', 0.6369062662124634, 'ml-ops', 3), ('microsoft/lmops', 0.6321725249290466, 'llm', 1), ('onnx/onnx', 0.6247395277023315, 'ml', 2), ('kubeflow/pipelines', 0.6110785603523254, 'ml-ops', 3), ('pytorchlightning/pytorch-lightning', 0.6110719442367554, 'ml-dl', 3), ('ludwig-ai/ludwig', 0.6104065775871277, 'ml-ops', 2), ('antonosika/gpt-engineer', 0.6053545475006104, 'llm', 1), ('nvidia/deeplearningexamples', 0.6029508113861084, 'ml-dl', 1), ('feast-dev/feast', 0.6025741696357727, 'ml-ops', 2), ('cheshire-cat-ai/core', 0.597477376461029, 'llm', 1), ('huggingface/datasets', 0.596264123916626, 'nlp', 2), ('bodywork-ml/bodywork-core', 0.5959450602531433, 'ml-ops', 3), ('pathwaycom/llm-app', 0.5931383371353149, 'llm', 2), ('activeloopai/deeplake', 0.5921602249145508, 'ml-ops', 4), ('prefecthq/marvin', 0.591640830039978, 'nlp', 1), ('explosion/thinc', 0.5913470387458801, 'ml-dl', 3), ('ml-tooling/opyrator', 0.5898632407188416, 'viz', 2), ('mindsdb/mindsdb', 0.5877701044082642, 'data', 2), ('xplainable/xplainable', 0.583275318145752, 'ml-interpretability', 1), ('microsoft/nni', 0.5809151530265808, 'ml', 3), ('microsoft/onnxruntime', 0.5801241993904114, 'ml', 2), ('alpa-projects/alpa', 0.5799961686134338, 'ml-dl', 2), ('thilinarajapakse/simpletransformers', 0.5780894160270691, 'nlp', 0), ('mosaicml/composer', 0.574347198009491, 'ml-dl', 2), ('operand/agency', 0.5735385417938232, 'llm', 3), ('unity-technologies/ml-agents', 0.5712394714355469, 'ml-rl', 2), ('zenml-io/zenml', 0.570486843585968, 'ml-ops', 5), ('sweepai/sweep', 0.5681687593460083, 'llm', 1), ('nccr-itmo/fedot', 0.5645349621772766, 'ml-ops', 1), ('microsoft/semantic-kernel', 0.5644956827163696, 'llm', 1), ('tensorflow/tensorflow', 0.5644592642784119, 'ml-dl', 2), ('open-mmlab/mmediting', 0.5629596710205078, 'ml', 2), ('allegroai/clearml', 0.5609636902809143, 'ml-ops', 4), ('lutzroeder/netron', 0.5586127042770386, 'ml', 3), ('ddbourgin/numpy-ml', 0.5563209652900696, 'ml', 1), ('oegedijk/explainerdashboard', 0.553854763507843, 'ml-interpretability', 0), ('fmind/mlops-python-package', 0.5531289577484131, 'template', 2), ('bentoml/openllm', 0.5529214143753052, 'ml-ops', 5), ('google-research/google-research', 0.5528449416160583, 'ml', 2), ('pythagora-io/gpt-pilot', 0.5526854395866394, 'llm', 1), ('winedarksea/autots', 0.5495694875717163, 'time-series', 2), ('tensorflow/tensor2tensor', 0.5486508011817932, 'ml', 2), ('superduperdb/superduperdb', 0.5483355522155762, 'data', 3), ('uber/fiber', 0.5481660962104797, 'data', 1), ('arize-ai/phoenix', 0.547683835029602, 'ml-interpretability', 2), ('merantix-momentum/squirrel-core', 0.5453324913978577, 'ml', 3), ('llmware-ai/llmware', 0.5451672673225403, 'llm', 3), ('aimhubio/aim', 0.5450233817100525, 'ml-ops', 3), ('microsoft/generative-ai-for-beginners', 0.5438612699508667, 'study', 2), ('deepmind/dm_control', 0.5436348915100098, 'ml-rl', 2), ('iterative/dvc', 0.5435565710067749, 'ml-ops', 2), ('skypilot-org/skypilot', 0.5428783297538757, 'llm', 3), ('ray-project/ray', 0.5420705080032349, 'ml-ops', 2), ('amanchadha/coursera-deep-learning-specialization', 0.540047824382782, 'study', 1), ('determined-ai/determined', 0.5386102795600891, 'ml-ops', 5), ('keras-team/keras', 0.5380653738975525, 'ml-dl', 2), ('polyaxon/datatile', 0.5369633436203003, 'pandas', 1), ('tensorlayer/tensorlayer', 0.5359321236610413, 'ml-rl', 1), ('kubeflow/fairing', 0.5353989005088806, 'ml-ops', 0), ('lucidrains/toolformer-pytorch', 0.5346093773841858, 'llm', 1), ('qdrant/qdrant', 0.5326546430587769, 'data', 2), ('bigscience-workshop/petals', 0.5308198928833008, 'data', 2), ('orchest/orchest', 0.52862948179245, 'ml-ops', 2), ('huggingface/transformers', 0.5276902914047241, 'nlp', 2), ('stability-ai/stability-sdk', 0.5263645052909851, 'diffusion', 0), ('google-research/language', 0.5239987969398499, 'nlp', 1), ('google/mediapipe', 0.5233632922172546, 'ml', 2), ('transformeroptimus/superagi', 0.5222785472869873, 'llm', 2), ('whylabs/whylogs', 0.5217410922050476, 'util', 2), ('giskard-ai/giskard', 0.5216226577758789, 'data', 3), ('roboflow/supervision', 0.5209812521934509, 'ml', 2), ('interpretml/interpret', 0.5196956992149353, 'ml-interpretability', 2), ('adap/flower', 0.519675612449646, 'ml-ops', 3), ('titanml/takeoff', 0.5187811851501465, 'llm', 0), ('deepchecks/deepchecks', 0.5182715058326721, 'data', 3), ('csinva/imodels', 0.5169817209243774, 'ml', 2), ('keras-rl/keras-rl', 0.5166836977005005, 'ml-rl', 1), ('cleanlab/cleanlab', 0.5148969292640686, 'ml', 0), ('gradio-app/gradio', 0.5144384503364563, 'viz', 2), ('google/trax', 0.5128212571144104, 'ml-dl', 2), ('nvidia/nemo', 0.5116295218467712, 'nlp', 1), ('makcedward/nlpaug', 0.5093832612037659, 'nlp', 2), ('invoke-ai/invokeai', 0.5075830221176147, 'diffusion', 0), ('unionai-oss/unionml', 0.5069453716278076, 'ml-ops', 2), ('wandb/client', 0.5063665509223938, 'ml', 4), ('keras-team/keras-nlp', 0.5048489570617676, 'nlp', 2), ('flyteorg/flyte', 0.5007025599479675, 'ml-ops', 3)]

192

2

null

9.81

185

134

58

0

21

24

21

185

153

90

0.8

58

626

util

https://github.com/pyca/cryptography

[]

null

[]

null

pyca/cryptography

cryptography

6,009

1,735

125

Python

https://cryptography.io

cryptography is a package designed to expose cryptographic primitives and recipes to Python developers.

pyca

2024-01-14

2013-08-07

546

10.988245

https://avatars.githubusercontent.com/u/5615737?v=4

cryptography is a package designed to expose cryptographic primitives and recipes to Python developers.

['cryptography']

2024-01-14

[('legrandin/pycryptodome', 0.8198734521865845, 'util', 1), ('pyca/pynacl', 0.659361720085144, 'util', 1), ('1200wd/bitcoinlib', 0.6551878452301025, 'crypto', 0), ('primal100/pybitcointools', 0.6024011373519897, 'crypto', 0), ('pypy/pypy', 0.5772532224655151, 'util', 0), ('man-c/pycoingecko', 0.5643881559371948, 'crypto', 0), ('pyupio/safety', 0.5316013097763062, 'security', 0), ('pyston/pyston', 0.5291821360588074, 'util', 0), ('pytoolz/toolz', 0.5245878100395203, 'util', 0), ('aswinnnn/pyscan', 0.5230307579040527, 'security', 0), ('sympy/sympy', 0.518089234828949, 'math', 0), ('paramiko/paramiko', 0.5152232646942139, 'util', 0), ('ta-lib/ta-lib-python', 0.5043237209320068, 'finance', 0), ('mkdocstrings/griffe', 0.5040481090545654, 'util', 0)]

303

4

null

32.37

542

518

127

0

12

542

303

90

0.6

58

1,534

ml-interpretability

https://github.com/interpretml/interpret

['interpretability']

null

[]

null

interpretml/interpret

interpret

5,868

704

141

C++

https://interpret.ml/docs

Fit interpretable models. Explain blackbox machine learning.

interpretml

2024-01-13

2019-05-03

247

23.70225

https://avatars.githubusercontent.com/u/27173223?v=4

Fit interpretable models. Explain blackbox machine learning.

['ai', 'artificial-intelligence', 'bias', 'blackbox', 'differential-privacy', 'explainability', 'explainable-ai', 'explainable-ml', 'gradient-boosting', 'iml', 'interpretability', 'interpretable-ai', 'interpretable-machine-learning', 'interpretable-ml', 'interpretml', 'machine-learning', 'scikit-learn', 'transparency', 'xai']

2024-01-14

[('csinva/imodels', 0.7508851289749146, 'ml', 7), ('oegedijk/explainerdashboard', 0.6743864417076111, 'ml-interpretability', 1), ('xplainable/xplainable', 0.6733729839324951, 'ml-interpretability', 4), ('seldonio/alibi', 0.6674531102180481, 'ml-interpretability', 3), ('maif/shapash', 0.6510236859321594, 'ml', 5), ('marcotcr/lime', 0.634106457233429, 'ml-interpretability', 1), ('tensorflow/lucid', 0.626980721950531, 'ml-interpretability', 2), ('pair-code/lit', 0.6197747588157654, 'ml-interpretability', 1), ('pytorch/captum', 0.6127338409423828, 'ml-interpretability', 3), ('cdpierse/transformers-interpret', 0.6050029993057251, 'ml-interpretability', 3), ('slundberg/shap', 0.5977214574813843, 'ml-interpretability', 4), ('mosaicml/composer', 0.5779016613960266, 'ml-dl', 1), ('rafiqhasan/auto-tensorflow', 0.5614568591117859, 'ml-dl', 1), ('teamhg-memex/eli5', 0.5581210851669312, 'ml', 2), ('eleutherai/pythia', 0.5574303269386292, 'ml-interpretability', 2), ('giskard-ai/giskard', 0.5559372305870056, 'data', 3), ('ml-for-high-risk-apps-book/machine-learning-for-high-risk-applications-book', 0.542955756187439, 'study', 3), ('explosion/thinc', 0.5354365706443787, 'ml-dl', 3), ('linkedin/fasttreeshap', 0.5312417149543762, 'ml', 3), ('hpcaitech/colossalai', 0.5297350883483887, 'llm', 1), ('arize-ai/phoenix', 0.5245933532714844, 'ml-interpretability', 0), ('selfexplainml/piml-toolbox', 0.5234452486038208, 'ml-interpretability', 1), ('polyaxon/datatile', 0.5212517976760864, 'pandas', 1), ('ddbourgin/numpy-ml', 0.5201536417007446, 'ml', 2), ('bentoml/bentoml', 0.5196956992149353, 'ml-ops', 2), ('onnx/onnx', 0.5163048505783081, 'ml', 2), ('tensorflow/tensorflow', 0.5142463445663452, 'ml-dl', 1), ('nccr-itmo/fedot', 0.5118159651756287, 'ml-ops', 1), ('makcedward/nlpaug', 0.5114248394966125, 'nlp', 3), ('alirezadir/machine-learning-interview-enlightener', 0.5096079707145691, 'study', 2), ('carla-recourse/carla', 0.5091050863265991, 'ml', 5), ('lutzroeder/netron', 0.5063915848731995, 'ml', 2), ('whylabs/whylogs', 0.5045889019966125, 'util', 1), ('tensorflow/tensor2tensor', 0.5023159980773926, 'ml', 1), ('huggingface/datasets', 0.5013808608055115, 'nlp', 1), ('huggingface/autotrain-advanced', 0.500921368598938, 'ml', 1)]

40

3

null

14.46

30

11

57

0

8

9

8

30

67

90

2.2

58

403

perf

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

[]

null

[]

null

python-trio/trio

trio

5,713

316

85

Python

https://trio.readthedocs.io

Trio – a friendly Python library for async concurrency and I/O

python-trio

2024-01-13

2017-01-16

367

15.5607

https://avatars.githubusercontent.com/u/26335827?v=4

Trio – a friendly Python library for async concurrency and I/O

['async', 'async-await', 'io', 'networking', 'structured-concurrency', 'trio']

2024-01-10

[('agronholm/anyio', 0.8090512156486511, 'perf', 2), ('magicstack/uvloop', 0.6619237065315247, 'util', 3), ('alirn76/panther', 0.6534282565116882, 'web', 0), ('samuelcolvin/arq', 0.6487094759941101, 'data', 1), ('pallets/quart', 0.6473005414009094, 'web', 0), ('eventlet/eventlet', 0.6357116103172302, 'perf', 0), ('aio-libs/aiohttp', 0.6344983577728271, 'web', 1), ('sumerc/yappi', 0.6272547245025635, 'profiling', 0), ('tiangolo/asyncer', 0.6240719556808472, 'perf', 2), ('airtai/faststream', 0.6224059462547302, 'perf', 0), ('encode/httpx', 0.5947321057319641, 'web', 1), ('noxdafox/pebble', 0.5942329168319702, 'perf', 0), ('collerek/ormar', 0.5920240879058838, 'data', 0), ('python-greenlet/greenlet', 0.5789716839790344, 'perf', 0), ('joblib/joblib', 0.5737351179122925, 'util', 0), ('tox-dev/py-filelock', 0.5723570585250854, 'util', 0), ('tornadoweb/tornado', 0.5695123076438904, 'web', 0), ('geeogi/async-python-lambda-template', 0.5684411525726318, 'template', 0), ('timofurrer/awesome-asyncio', 0.5602687001228333, 'study', 0), ('miguelgrinberg/python-socketio', 0.5562794208526611, 'util', 0), ('klen/muffin', 0.5527318716049194, 'web', 1), ('neoteroi/blacksheep', 0.5497913956642151, 'web', 0), ('ipython/ipyparallel', 0.549788773059845, 'perf', 0), ('pytoolz/toolz', 0.5491801500320435, 'util', 0), ('fastai/fastcore', 0.5491400361061096, 'util', 0), ('pyston/pyston', 0.5414426922798157, 'util', 0), ('pypy/pypy', 0.5405836701393127, 'util', 0), ('fluentpython/example-code-2e', 0.5376577377319336, 'study', 0), ('encode/uvicorn', 0.5339199304580688, 'web', 0), ('bogdanp/dramatiq', 0.5322513580322266, 'util', 0), ('python-cachier/cachier', 0.528437077999115, 'perf', 0), ('joblib/loky', 0.5253786444664001, 'perf', 0), ('klen/py-frameworks-bench', 0.5250015258789062, 'perf', 0), ('micropython/micropython', 0.5247344970703125, 'util', 0), ('encode/starlette', 0.5227438807487488, 'web', 1), ('dgilland/cacheout', 0.5188122987747192, 'perf', 0), ('agronholm/apscheduler', 0.5111809968948364, 'util', 0), ('hyperopt/hyperopt', 0.510098934173584, 'ml', 0), ('dask/dask', 0.5067204236984253, 'perf', 0), ('samuelcolvin/watchfiles', 0.5042653679847717, 'util', 0), ('backtick-se/cowait', 0.5035473704338074, 'util', 0), ('samuelcolvin/aioaws', 0.5013687610626221, 'data', 0)]

154

3

null

7.71

153

107

85

0

5

4

5

153

482

90

3.2

58

944

security

https://github.com/stamparm/maltrail

[]

null

[]

null

stamparm/maltrail

maltrail

5,548

1,017

229

Python

null

Malicious traffic detection system

stamparm

2024-01-14

2014-12-04

477

11.613636

null

Malicious traffic detection system

['attack-detection', 'intrusion-detection', 'malware', 'network-monitoring', 'security', 'sensor']

2024-01-13

[]

47

4

null

305.44

35

30

111

0

12

6

12

35

48

90

1.4

58

547

ml

https://github.com/open-mmlab/mmcv

['computer-vision']

null

[]

null

open-mmlab/mmcv

mmcv

5,409

1,575

86

Python

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

OpenMMLab Computer Vision Foundation

open-mmlab

2024-01-14

2018-08-22

283

19.05536

https://avatars.githubusercontent.com/u/10245193?v=4

OpenMMLab Computer Vision Foundation

[]

['computer-vision']

2024-01-07

[('open-mmlab/mmdetection', 0.6718772649765015, 'ml', 0), ('open-mmlab/mmsegmentation', 0.6504673361778259, 'ml', 0), ('deci-ai/super-gradients', 0.5693687796592712, 'ml-dl', 1), ('luispedro/mahotas', 0.5330637693405151, 'viz', 1), ('roboflow/supervision', 0.524324893951416, 'ml', 1)]

260

7

null

1.87

91

52

66

0

5

20

5

91

146

90

1.6

58

1,666

ml-ops

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

[]

null

[]

1

null

kestra-io/kestra

kestra

5,200

285

54

Java

https://kestra.io

Infinitely scalable, event-driven, language-agnostic orchestration and scheduling platform to manage millions of workflows declaratively in code.

kestra-io

2024-01-14

2019-08-24

231

22.469136

https://avatars.githubusercontent.com/u/59033362?v=4

Infinitely scalable, event-driven, language-agnostic orchestration and scheduling platform to manage millions of workflows declaratively in code.

['data', 'data-engineering', 'data-integration', 'data-orchestration', 'data-orchestrator', 'data-pipeline', 'data-quality', 'elt', 'etl', 'low-code', 'orchestration', 'pipeline', 'reverse-etl', 'scheduler', 'workflow', 'workflow-engine']

2024-01-12

[('flyteorg/flyte', 0.7973306775093079, 'ml-ops', 2), ('dagster-io/dagster', 0.7322535514831543, 'ml-ops', 7), ('mage-ai/mage-ai', 0.6831650137901306, 'ml-ops', 8), ('prefecthq/server', 0.6529881954193115, 'util', 3), ('apache/airflow', 0.6468701362609863, 'ml-ops', 9), ('prefecthq/prefect', 0.6422749757766724, 'ml-ops', 6), ('airbytehq/airbyte', 0.6355409622192383, 'data', 7), ('orchest/orchest', 0.6342953443527222, 'ml-ops', 1), ('ploomber/ploomber', 0.6272913217544556, 'ml-ops', 2), ('astronomer/astro-sdk', 0.6130484342575073, 'ml-ops', 2), ('avaiga/taipy', 0.6105530858039856, 'data', 4), ('backtick-se/cowait', 0.5885079503059387, 'util', 2), ('meltano/meltano', 0.5790954232215881, 'ml-ops', 3), ('dagworks-inc/hamilton', 0.5751848816871643, 'ml-ops', 3), ('polyaxon/polyaxon', 0.561455249786377, 'ml-ops', 1), ('fugue-project/fugue', 0.5582082271575928, 'pandas', 0), ('zenml-io/zenml', 0.5403246879577637, 'ml-ops', 1), ('allegroai/clearml', 0.5374925136566162, 'ml-ops', 0), ('bodywork-ml/bodywork-core', 0.5349816083908081, 'ml-ops', 2), ('apache/spark', 0.5336428284645081, 'data', 0), ('getindata/kedro-kubeflow', 0.5321413278579712, 'ml-ops', 0), ('modin-project/modin', 0.5311633348464966, 'perf', 0), ('merantix-momentum/squirrel-core', 0.5266260504722595, 'ml', 0), ('spotify/luigi', 0.5256256461143494, 'ml-ops', 0), ('netflix/metaflow', 0.5250420570373535, 'ml-ops', 0), ('pathwaycom/pathway', 0.5241698026657104, 'data', 0), ('fastai/fastcore', 0.5094014406204224, 'util', 0), ('pytables/pytables', 0.5085448026657104, 'data', 0), ('linealabs/lineapy', 0.5073179602622986, 'jupyter', 0), ('pydoit/doit', 0.5050574541091919, 'util', 2), ('tiangolo/full-stack-fastapi-postgresql', 0.501535952091217, 'template', 0)]

41

2

null

20.23

915

469

53

0

37

23

37

915

611

90

0.7

58

67

util

https://github.com/pycqa/pylint

['code-quality']

null

[]

['pylint']

null

pycqa/pylint

pylint

4,989

1,067

77

Python

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

It's not just a linter that annoys you!

pycqa

2024-01-13

2015-12-09

424

11.742771

https://avatars.githubusercontent.com/u/121692054?v=4

It's not just a linter that annoys you!

['code-quality', 'linter', 'pep8', 'static-analysis', 'static-code-analysis']

2024-01-10

[('astral-sh/ruff', 0.569158136844635, 'util', 5), ('google/pytype', 0.5689358115196228, 'typing', 4), ('klen/pylama', 0.5042141675949097, 'util', 1), ('python/mypy', 0.5039985179901123, 'typing', 2)]

553

3

null

15.12

288

145

99

0

21

23

21

288

524

90

1.8

58

815

ml

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

[]

null

[]

null

project-monai/monai

MONAI

4,983

920

93

Python

https://monai.io/

AI Toolkit for Healthcare Imaging

project-monai

2024-01-14

2019-10-11

224

22.188931

https://avatars.githubusercontent.com/u/56449156?v=4

AI Toolkit for Healthcare Imaging

['deep-learning', 'healthcare-imaging', 'medical-image-computing', 'medical-image-processing', 'monai', 'pytorch']

2024-01-12

[('fepegar/torchio', 0.8480987548828125, 'ml-dl', 4), ('albumentations-team/albumentations', 0.5541568994522095, 'ml-dl', 1), ('tensorflow/tensorflow', 0.539412260055542, 'ml-dl', 1), ('microsoft/onnxruntime', 0.5315036773681641, 'ml', 2), ('lucidrains/medical-chatgpt', 0.5313103795051575, 'llm', 1), ('keras-team/keras', 0.5263016819953918, 'ml-dl', 2), ('oneil512/insight', 0.5232803225517273, 'ml', 0), ('open-mmlab/mmsegmentation', 0.5131828188896179, 'ml', 1), ('nvidia/deeplearningexamples', 0.5109444260597229, 'ml-dl', 2), ('huggingface/datasets', 0.5077080130577087, 'nlp', 2), ('tensorflow/tensor2tensor', 0.5071702599525452, 'ml', 1)]

176

3

null

8.88

358

233

52

0

2

20

2

358

519

90

1.4

58

750

util

https://github.com/pypa/hatch

['package-manager', 'packaging']

null

[]

null

pypa/hatch

hatch

4,939

281

49

Python

https://hatch.pypa.io/latest/

Modern, extensible Python project management

pypa

2024-01-14

2017-05-31

347

14.198357

https://avatars.githubusercontent.com/u/647025?v=4

Modern, extensible Python project management

['build', 'cli', 'packaging', 'plugin', 'versioning', 'virtualenv']

['build', 'cli', 'package-manager', 'packaging', 'plugin', 'versioning', 'virtualenv']

2024-01-13

[('python-poetry/poetry', 0.7199224233627319, 'util', 2), ('pypa/pipenv', 0.7155768275260925, 'util', 2), ('mitsuhiko/rye', 0.7138620615005493, 'util', 2), ('indygreg/pyoxidizer', 0.7048346400260925, 'util', 2), ('pomponchik/instld', 0.6995571255683899, 'util', 1), ('pdm-project/pdm', 0.6953819394111633, 'util', 2), ('dosisod/refurb', 0.6656979322433472, 'util', 1), ('pypa/flit', 0.6373385787010193, 'util', 2), ('pypa/virtualenv', 0.6300379633903503, 'util', 1), ('pyenv/pyenv', 0.6283936500549316, 'util', 0), ('ofek/pyapp', 0.6210417747497559, 'util', 3), ('tezromach/python-package-template', 0.6175110936164856, 'template', 0), ('pypi/warehouse', 0.6159988641738892, 'util', 0), ('eugeneyan/python-collab-template', 0.613045871257782, 'template', 0), ('beeware/briefcase', 0.6087289452552795, 'util', 0), ('conda/conda-build', 0.5962553024291992, 'util', 0), ('pypa/build', 0.5941884517669678, 'util', 1), ('pyodide/micropip', 0.5937002897262573, 'util', 0), ('omry/omegaconf', 0.5926797986030579, 'util', 0), ('spack/spack', 0.592124879360199, 'util', 1), ('jazzband/pip-tools', 0.5882735848426819, 'util', 1), ('martinheinz/python-project-blueprint', 0.5873016119003296, 'template', 0), ('willmcgugan/textual', 0.5866153836250305, 'term', 1), ('tedivm/robs_awesome_python_template', 0.582638144493103, 'template', 0), ('eleutherai/pyfra', 0.5818159580230713, 'ml', 0), ('thoth-station/micropipenv', 0.5751578211784363, 'util', 0), ('pyscaffold/pyscaffold', 0.5699118971824646, 'template', 0), ('amaargiru/pyroad', 0.5697453618049622, 'study', 0), ('pypy/pypy', 0.5679408311843872, 'util', 0), ('regebro/pyroma', 0.5634012818336487, 'util', 1), ('mtkennerly/dunamai', 0.56247878074646, 'util', 2), ('pytables/pytables', 0.5594925880432129, 'data', 0), ('mamba-org/mamba', 0.5550651550292969, 'util', 2), ('hoffstadt/dearpygui', 0.5478973388671875, 'gui', 0), ('malloydata/malloy-py', 0.547518789768219, 'data', 0), ('conda/conda', 0.5469714999198914, 'util', 2), ('pyinfra-dev/pyinfra', 0.5454100966453552, 'util', 0), ('urwid/urwid', 0.5425727963447571, 'term', 0), ('pallets/flask', 0.5425235033035278, 'web', 0), ('python/cpython', 0.5416925549507141, 'util', 0), ('cython/cython', 0.5406709313392639, 'util', 0), ('pympler/pympler', 0.5399362444877625, 'perf', 0), ('samuelcolvin/python-devtools', 0.5391005277633667, 'debug', 0), ('mamba-org/gator', 0.5378934741020203, 'jupyter', 0), ('backtick-se/cowait', 0.5353484153747559, 'util', 0), ('landscapeio/prospector', 0.5343112945556641, 'util', 0), ('exaloop/codon', 0.5342748761177063, 'perf', 0), ('rubik/radon', 0.5330091714859009, 'util', 1), ('pypa/gh-action-pypi-publish', 0.5319401025772095, 'util', 0), ('libtcod/python-tcod', 0.5316311120986938, 'gamedev', 0), ('google/gin-config', 0.5304906368255615, 'util', 0), ('erotemic/ubelt', 0.5291941165924072, 'util', 0), ('pytoolz/toolz', 0.5271018743515015, 'util', 0), ('pyo3/maturin', 0.5255593061447144, 'util', 1), ('mkdocstrings/griffe', 0.5250239968299866, 'util', 0), ('bottlepy/bottle', 0.5236046314239502, 'web', 0), ('kubeflow/fairing', 0.5211179256439209, 'ml-ops', 0), ('pypa/setuptools_scm', 0.5210332274436951, 'util', 2), ('mitmproxy/pdoc', 0.520322322845459, 'util', 0), ('citadel-ai/langcheck', 0.5197140574455261, 'llm', 0), ('google/python-fire', 0.5173959732055664, 'term', 1), ('trailofbits/pip-audit', 0.5167754292488098, 'security', 0), ('tox-dev/pipdeptree', 0.5165544152259827, 'util', 1), ('fastai/fastcore', 0.5164702534675598, 'util', 0), ('tiangolo/poetry-version-plugin', 0.5143115520477295, 'util', 1), ('orchest/orchest', 0.510188639163971, 'ml-ops', 0), ('psf/black', 0.5100483894348145, 'util', 0), ('scikit-build/scikit-build', 0.509085476398468, 'ml', 1), ('pypa/pipx', 0.5080375671386719, 'util', 1), ('prompt-toolkit/ptpython', 0.5076357126235962, 'util', 1), ('cookiecutter/cookiecutter', 0.5061737895011902, 'template', 0), ('grahamdumpleton/wrapt', 0.5048109292984009, 'util', 0), ('sqlalchemy/mako', 0.5044662356376648, 'template', 0), ('pyston/pyston', 0.5036124587059021, 'util', 0), ('ethereum/py-evm', 0.5026881694793701, 'crypto', 0), ('sourcery-ai/sourcery', 0.5025754570960999, 'util', 0), ('python-cachier/cachier', 0.502075731754303, 'perf', 0), ('jquast/blessed', 0.5016807913780212, 'term', 1)]

54

6

null

3.71

238

173

81

0

18

16

18

238

511

90

2.1

58