dylanhogg/awesome-python · Datasets at Hugging Face

450

pandas

https://github.com/unionai-oss/pandera

[]

null

[]

1

null

unionai-oss/pandera

pandera

2,779

238

20

Python

https://www.union.ai/pandera

A light-weight, flexible, and expressive statistical data testing library

unionai-oss

2024-01-12

2018-11-01

273

10.152923

https://avatars.githubusercontent.com/u/94206482?v=4

A light-weight, flexible, and expressive statistical data testing library

['assertions', 'data-assertions', 'data-check', 'data-cleaning', 'data-processing', 'data-validation', 'data-verification', 'dataframe-schema', 'dataframes', 'hypothesis-testing', 'pandas', 'pandas-dataframe', 'pandas-validation', 'pandas-validator', 'schema', 'testing', 'testing-tools', 'validation']

2023-12-15

[('pandas-dev/pandas', 0.6850487589836121, 'pandas', 1), ('pyeve/cerberus', 0.6107540726661682, 'data', 1), ('ydataai/ydata-profiling', 0.5934801697731018, 'pandas', 2), ('hypothesisworks/hypothesis', 0.5685426592826843, 'testing', 1), ('python-odin/odin', 0.5636017322540283, 'util', 1), ('polyaxon/datatile', 0.55992591381073, 'pandas', 2), ('hi-primus/optimus', 0.557157576084137, 'ml-ops', 1), ('krzjoa/awesome-python-data-science', 0.5424999594688416, 'study', 0), ('tensorflow/data-validation', 0.5394289493560791, 'ml-ops', 0), ('dagworks-inc/hamilton', 0.5392426252365112, 'ml-ops', 1), ('datafold/data-diff', 0.5363107919692993, 'data', 0), ('great-expectations/great_expectations', 0.5351150035858154, 'ml-ops', 0), ('ydataai/ydata-quality', 0.5350058078765869, 'data', 1), ('plotly/dash', 0.5268102288246155, 'viz', 0), ('ibis-project/ibis', 0.525162398815155, 'data', 1), ('dylanhogg/awesome-python', 0.5203728079795837, 'study', 1), ('mementum/bta-lib', 0.5138059258460999, 'finance', 0), ('rasbt/mlxtend', 0.5126389265060425, 'ml', 0), ('man-group/dtale', 0.5104021430015564, 'viz', 1), ('lk-geimfari/mimesis', 0.509531557559967, 'data', 3), ('wolever/parameterized', 0.5074113607406616, 'testing', 0), ('tobymao/sqlglot', 0.5052539706230164, 'data', 0), ('saulpw/visidata', 0.5012566447257996, 'term', 1)]

111

4

null

2.27

111

47

63

1

23

16

23

111

196

90

1.8

51

1,310

study

https://github.com/promptslab/awesome-prompt-engineering

['awesome']

null

[]

null

promptslab/awesome-prompt-engineering

Awesome-Prompt-Engineering

2,728

231

49

Python

https://discord.gg/m88xfYMbK6

This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc

promptslab

2024-01-14

2023-02-09

50

53.791549

https://avatars.githubusercontent.com/u/120981762?v=4

This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc

['chatgpt', 'chatgpt-api', 'deep-learning', 'few-shot-learning', 'gpt', 'gpt-3', 'machine-learning', 'openai', 'prompt', 'prompt-based-learning', 'prompt-engineering', 'prompt-generator', 'prompt-learning', 'prompt-toolkit', 'prompt-tuning', 'promptengineering', 'text-to-image', 'text-to-speech', 'text-to-video']

['awesome', 'chatgpt', 'chatgpt-api', 'deep-learning', 'few-shot-learning', 'gpt', 'gpt-3', 'machine-learning', 'openai', 'prompt', 'prompt-based-learning', 'prompt-engineering', 'prompt-generator', 'prompt-learning', 'prompt-toolkit', 'prompt-tuning', 'promptengineering', 'text-to-image', 'text-to-speech', 'text-to-video']

2024-01-04

[('promptslab/promptify', 0.7121634483337402, 'nlp', 8), ('microsoft/generative-ai-for-beginners', 0.6337803602218628, 'study', 4), ('bigscience-workshop/promptsource', 0.5903843641281128, 'nlp', 1), ('hegelai/prompttools', 0.5741844773292542, 'llm', 3), ('saharmor/dalle-playground', 0.5731377005577087, 'diffusion', 3), ('thudm/p-tuning-v2', 0.5705534815788269, 'nlp', 1), ('microsoft/promptbase', 0.56931471824646, 'llm', 1), ('karpathy/mingpt', 0.5419448018074036, 'llm', 0), ('microsoft/lmops', 0.538474440574646, 'llm', 2), ('keirp/automatic_prompt_engineer', 0.5347884297370911, 'llm', 1), ('agenta-ai/agenta', 0.53215092420578, 'llm', 2), ('ofa-sys/ofa', 0.5315465927124023, 'llm', 2), ('microsoft/chatgpt-robot-manipulation-prompts', 0.5258796811103821, 'llm', 0), ('bigscience-workshop/megatron-deepspeed', 0.5253517031669617, 'llm', 0), ('microsoft/megatron-deepspeed', 0.5253517031669617, 'llm', 0), ('nielsrogge/transformers-tutorials', 0.5090713500976562, 'study', 0), ('kyegomez/tree-of-thoughts', 0.5084075927734375, 'llm', 6), ('openai/image-gpt', 0.5061761140823364, 'llm', 0), ('openlmlab/moss', 0.5036895871162415, 'llm', 2), ('open-mmlab/mmediting', 0.5029655694961548, 'ml', 1), ('thilinarajapakse/simpletransformers', 0.5007800459861755, 'nlp', 0), ('ist-daslab/gptq', 0.5007389187812805, 'llm', 0)]

13

8

null

2.08

3

11

0

3

0

90

0

51

1,254

ml

https://github.com/huggingface/autotrain-advanced

[]

AutoTrain Advanced: faster and easier training and deployments of state-of-the-art machine learning models

[]

null

huggingface/autotrain-advanced

autotrain-advanced

2,629

309

66

Python

https://huggingface.co/autotrain

🤗 AutoTrain Advanced

huggingface

2024-01-13

2020-12-15

163

16.128834

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

🤗 AutoTrain Advanced

['autotrain', 'deep-learning', 'huggingface', 'machine-learning', 'natural-language-processing', 'natural-language-understanding']

2023-12-28

[('awslabs/autogluon', 0.6629055142402649, 'ml', 3), ('winedarksea/autots', 0.6144011616706848, 'time-series', 2), ('keras-team/autokeras', 0.613167405128479, 'ml-dl', 2), ('nccr-itmo/fedot', 0.5916618704795837, 'ml-ops', 1), ('mosaicml/composer', 0.5858451724052429, 'ml-dl', 2), ('microsoft/nni', 0.5753588080406189, 'ml', 2), ('automl/auto-sklearn', 0.5570406317710876, 'ml', 0), ('huggingface/transformers', 0.5453631281852722, 'nlp', 3), ('alpa-projects/alpa', 0.5402303338050842, 'ml-dl', 2), ('huggingface/datasets', 0.5383889079093933, 'nlp', 3), ('microsoft/flaml', 0.5361581444740295, 'ml', 3), ('explosion/thinc', 0.5315551161766052, 'ml-dl', 3), ('xplainable/xplainable', 0.5284545421600342, 'ml-interpretability', 1), ('makcedward/nlpaug', 0.5261876583099365, 'nlp', 2), ('jindongwang/transferlearning', 0.5214440822601318, 'ml', 2), ('huggingface/huggingface_hub', 0.5198477506637573, 'ml', 3), ('deepfakes/faceswap', 0.5193936228752136, 'ml-dl', 2), ('thilinarajapakse/simpletransformers', 0.517383873462677, 'nlp', 0), ('alibaba/easynlp', 0.5123465657234192, 'nlp', 2), ('extreme-bert/extreme-bert', 0.5114012360572815, 'llm', 3), ('luodian/otter', 0.5102346539497375, 'llm', 2), ('docarray/docarray', 0.5089057087898254, 'data', 2), ('microsoft/unilm', 0.5079038143157959, 'nlp', 0), ('nvidia/deeplearningexamples', 0.5064716339111328, 'ml-dl', 1), ('google/trax', 0.5045042037963867, 'ml-dl', 2), ('torantulino/auto-gpt', 0.5032193660736084, 'llm', 0), ('microsoft/semi-supervised-learning', 0.5021505355834961, 'ml', 3), ('salesforce/blip', 0.5011047124862671, 'diffusion', 0), ('open-mmlab/mmediting', 0.5010733008384705, 'ml', 1), ('interpretml/interpret', 0.500921368598938, 'ml-interpretability', 1), ('christoschristofidis/awesome-deep-learning', 0.5007786750793457, 'study', 2), ('amanchadha/coursera-deep-learning-specialization', 0.500561535358429, 'study', 1)]

19

4

null

7.81

255

236

37

1

0

255

618

90

2.4

51

1,553

util

https://github.com/beeware/briefcase

['package', 'python-to-exe', 'bundle']

null

[]

null

beeware/briefcase

briefcase

2,206

310

45

Python

https://briefcase.readthedocs.io/

Tools to support converting a Python project into a standalone native application.

beeware

2024-01-12

2015-07-28

444

4.968468

https://avatars.githubusercontent.com/u/19795701?v=4

Tools to support converting a Python project into a standalone native application.

[]

['bundle', 'package', 'python-to-exe']

2024-01-14

[('pyinstaller/pyinstaller', 0.6962027549743652, 'util', 3), ('ofek/pyapp', 0.6602802276611328, 'util', 1), ('indygreg/pyoxidizer', 0.6296486258506775, 'util', 0), ('pypa/hatch', 0.6087289452552795, 'util', 0), ('beeware/toga', 0.5662544965744019, 'gui', 0), ('pyodide/micropip', 0.561262845993042, 'util', 0), ('pypa/pipenv', 0.546190619468689, 'util', 0), ('pypy/pypy', 0.5429807901382446, 'util', 0), ('pypa/pipx', 0.5395711064338684, 'util', 0), ('mitsuhiko/rye', 0.5340247750282288, 'util', 0), ('willmcgugan/textual', 0.5323150753974915, 'term', 0), ('python-poetry/poetry', 0.5169381499290466, 'util', 0), ('connorferster/handcalcs', 0.5107748508453369, 'jupyter', 0), ('dosisod/refurb', 0.5095663666725159, 'util', 0), ('hoffstadt/dearpygui', 0.5077422261238098, 'gui', 0), ('r0x0r/pywebview', 0.5074366927146912, 'gui', 0), ('linkedin/shiv', 0.5067877173423767, 'util', 0), ('kubeflow/fairing', 0.5065484046936035, 'ml-ops', 0), ('samuelcolvin/python-devtools', 0.5053153038024902, 'debug', 0), ('pypa/flit', 0.5033259987831116, 'util', 0)]

135

7

null

18.13

113

90

103

0

5

7

5

113

198

90

1.8

51

1,160

jupyter

https://github.com/mito-ds/monorepo

[]

null

[]

null

mito-ds/monorepo

mito

2,096

143

22

Python

https://trymito.io

The mitosheet package, trymito.io, and other public Mito code.

mito-ds

2024-01-12

2022-01-20

105

19.827027

https://avatars.githubusercontent.com/u/55325926?v=4

The mitosheet package, trymito.io, and other public Mito code.

['data', 'data-analysis', 'data-science', 'data-visualization', 'jupyter', 'pandas', 'streamlit-component']

2024-01-09

[('holoviz/panel', 0.5779578685760498, 'viz', 1), ('saulpw/visidata', 0.5757395625114441, 'term', 1), ('polyaxon/datatile', 0.5668829083442688, 'pandas', 3), ('ta-lib/ta-lib-python', 0.5616872906684875, 'finance', 0), ('vaexio/vaex', 0.5610413551330566, 'perf', 1), ('rapidsai/cudf', 0.5557620525360107, 'pandas', 3), ('wesm/pydata-book', 0.5535025000572205, 'study', 0), ('man-group/dtale', 0.5518519282341003, 'viz', 4), ('kubeflow-kale/kale', 0.5466421842575073, 'ml-ops', 0), ('plotly/dash', 0.5446365475654602, 'viz', 3), ('jakevdp/pythondatasciencehandbook', 0.5431113243103027, 'study', 1), ('twopirllc/pandas-ta', 0.5410447716712952, 'finance', 1), ('pyqtgraph/pyqtgraph', 0.5288783311843872, 'viz', 0), ('fchollet/deep-learning-with-python-notebooks', 0.525928795337677, 'study', 0), ('gradio-app/gradio', 0.5249914526939392, 'viz', 3), ('geopandas/geopandas', 0.5150602459907532, 'gis', 1), ('krzjoa/awesome-python-data-science', 0.5128975510597229, 'study', 3), ('mwaskom/seaborn', 0.5123574733734131, 'viz', 3), ('alphasecio/langchain-examples', 0.5109399557113647, 'llm', 0), ('astral-sh/ruff', 0.5106766223907471, 'util', 0), ('lux-org/lux', 0.509769856929779, 'viz', 3), ('cohere-ai/notebooks', 0.5074410438537598, 'llm', 0), ('imageio/imageio', 0.5070230960845947, 'util', 0), ('scitools/iris', 0.5061976909637451, 'gis', 1), ('simonw/datasette', 0.5057903528213501, 'data', 0), ('pandas-dev/pandas', 0.5044918656349182, 'pandas', 3), ('delta-io/delta-rs', 0.503544807434082, 'pandas', 1), ('jovianml/opendatasets', 0.5031294822692871, 'data', 1), ('mementum/bta-lib', 0.5002267360687256, 'finance', 0)]

7

2

null

42.33

272

214

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0

272

366

90

1.3

51

316

gamedev

https://github.com/pyglet/pyglet

[]

null

[]

null

pyglet/pyglet

pyglet

1,675

282

31

Python

http://pyglet.org

pyglet is a cross-platform windowing and multimedia library for Python, for developing games and other visually rich applications.

pyglet

2024-01-13

2019-06-09

242

6.913325

https://avatars.githubusercontent.com/u/51539834?v=4

pyglet is a cross-platform windowing and multimedia library for Python, for developing games and other visually rich applications.

['gamedev', 'opengl', 'pyglet', 'scientific-visualization']

2024-01-13

[('pygame/pygame', 0.717469334602356, 'gamedev', 1), ('hoffstadt/dearpygui', 0.6631710529327393, 'gui', 0), ('pypy/pypy', 0.6459312438964844, 'util', 0), ('pysimplegui/pysimplegui', 0.624721884727478, 'gui', 0), ('python/cpython', 0.5984718799591064, 'util', 0), ('pygamelib/pygamelib', 0.5976749062538147, 'gamedev', 1), ('r0x0r/pywebview', 0.593908965587616, 'gui', 0), ('viblo/pymunk', 0.5925350189208984, 'sim', 1), ('wxwidgets/phoenix', 0.5862021446228027, 'gui', 0), ('urwid/urwid', 0.5836073160171509, 'term', 0), ('webpy/webpy', 0.5836023688316345, 'web', 0), ('maartenbreddels/ipyvolume', 0.580999493598938, 'jupyter', 1), ('holoviz/holoviz', 0.5789063572883606, 'viz', 0), ('beeware/toga', 0.572860598564148, 'gui', 0), ('altair-viz/altair', 0.5653769969940186, 'viz', 0), ('imageio/imageio', 0.5611344575881958, 'util', 0), ('pyston/pyston', 0.5540895462036133, 'util', 0), ('pygments/pygments', 0.5452966094017029, 'util', 0), ('jquast/blessed', 0.5451313853263855, 'term', 0), ('lordmauve/pgzero', 0.544232964515686, 'gamedev', 0), ('graphistry/pygraphistry', 0.5440356135368347, 'data', 0), ('eleutherai/pyfra', 0.5430480241775513, 'ml', 0), ('pympler/pympler', 0.5425298810005188, 'perf', 0), ('pytoolz/toolz', 0.5421815514564514, 'util', 0), ('pypa/virtualenv', 0.541969895362854, 'util', 0), ('inducer/pudb', 0.5417070984840393, 'debug', 0), ('kivy/kivy', 0.5390869975090027, 'util', 0), ('matplotlib/matplotlib', 0.5357295870780945, 'viz', 0), ('pylons/pyramid', 0.5355060696601868, 'web', 0), ('bokeh/bokeh', 0.5342501401901245, 'viz', 0), ('alexmojaki/snoop', 0.5321446061134338, 'debug', 0), ('parthjadhav/tkinter-designer', 0.5310909748077393, 'gui', 0), ('pythonarcade/arcade', 0.5264350175857544, 'gamedev', 1), ('willmcgugan/textual', 0.5208635330200195, 'term', 0), ('connorferster/handcalcs', 0.5195719003677368, 'jupyter', 0), ('gboeing/pynamical', 0.5189253091812134, 'sim', 0), ('alexmojaki/heartrate', 0.5163092613220215, 'debug', 0), ('opengeos/leafmap', 0.5158253312110901, 'gis', 0), ('bottlepy/bottle', 0.5153478384017944, 'web', 0), ('zulko/moviepy', 0.5143889784812927, 'util', 0), ('panda3d/panda3d', 0.5137691497802734, 'gamedev', 2), ('vispy/vispy', 0.5124850273132324, 'viz', 1), ('wesm/pydata-book', 0.5112947225570679, 'study', 0), ('pyodide/pyodide', 0.5096766948699951, 'util', 0), ('scitools/cartopy', 0.5082891583442688, 'gis', 0), ('holoviz/geoviews', 0.5069261789321899, 'gis', 0), ('py4j/py4j', 0.5067098140716553, 'util', 0), ('holoviz/panel', 0.5058193206787109, 'viz', 0), ('python-pillow/pillow', 0.505748450756073, 'util', 0), ('erotemic/ubelt', 0.5050175786018372, 'util', 0), ('jiffyclub/snakeviz', 0.5042890310287476, 'profiling', 0), ('plotly/plotly.py', 0.5040709972381592, 'viz', 0), ('kanaries/pygwalker', 0.5040571689605713, 'pandas', 0), ('landscapeio/prospector', 0.5031312108039856, 'util', 0)]

156

4

null

5

92

69

56

0

8

13

8

92

193

90

2.1

51

1,563

llm

https://github.com/ray-project/llm-applications

['rag']

null

[]

null

ray-project/llm-applications

llm-applications

1,207

135

14

Jupyter Notebook

null

A comprehensive guide to building RAG-based LLM applications for production.

ray-project

2024-01-13

2023-08-16

23

50.592814

https://avatars.githubusercontent.com/u/22125274?v=4

A comprehensive guide to building RAG-based LLM applications for production.

['anyscale', 'fine-tuning', 'llama2', 'llms', 'machine-learning', 'openai', 'ray', 'serving']

['anyscale', 'fine-tuning', 'llama2', 'llms', 'machine-learning', 'openai', 'rag', 'ray', 'serving']

2024-01-08

[('alpha-vllm/llama2-accessory', 0.6254207491874695, 'llm', 1), ('bentoml/openllm', 0.6087220311164856, 'ml-ops', 2), ('tigerlab-ai/tiger', 0.6013271808624268, 'llm', 2), ('h2oai/h2o-llmstudio', 0.5635949373245239, 'llm', 2), ('run-llama/llama-hub', 0.5521401166915894, 'data', 0), ('eugeneyan/open-llms', 0.5464956760406494, 'study', 1), ('hiyouga/llama-factory', 0.5320853590965271, 'llm', 2), ('hiyouga/llama-efficient-tuning', 0.5320852994918823, 'llm', 2), ('jerryjliu/llama_index', 0.5219264030456543, 'llm', 2), ('langchain-ai/langsmith-cookbook', 0.515418529510498, 'llm', 0), ('tloen/alpaca-lora', 0.5138564109802246, 'llm', 0), ('berriai/litellm', 0.5112382173538208, 'llm', 1), ('deepset-ai/haystack', 0.5103896260261536, 'llm', 1), ('vllm-project/vllm', 0.5022127032279968, 'llm', 0)]

4

3

null

1.33

28

21

5

0

8

22

8

28

5

90

0.2

51

1,763

data

https://github.com/dlt-hub/dlt

['duckdb', 'data-engineering']

null

[]

null

dlt-hub/dlt

dlt

1,028

71

14

Python

https://dlthub.com/docs

data load tool (dlt) is an open source Python library that makes data loading easy 🛠️

dlt-hub

2024-01-13

2022-01-26

104

9.803815

https://avatars.githubusercontent.com/u/89419010?v=4

data load tool (dlt) is an open source Python library that makes data loading easy 🛠️

['data', 'data-engineering', 'data-lake', 'data-loading', 'data-warehouse', 'elt', 'extract', 'load', 'transform']

['data', 'data-engineering', 'data-lake', 'data-loading', 'data-warehouse', 'duckdb', 'elt', 'extract', 'load', 'transform']

2024-01-12

[('pandas-dev/pandas', 0.554896891117096, 'pandas', 0), ('dbt-labs/dbt-core', 0.5388659834861755, 'ml-ops', 1), ('pytables/pytables', 0.5339342355728149, 'data', 0), ('airbytehq/airbyte', 0.5255663394927979, 'data', 3), ('erotemic/ubelt', 0.5195381045341492, 'util', 0), ('holoviz/panel', 0.5181348323822021, 'viz', 0), ('pytorch/data', 0.5167723298072815, 'data', 0), ('databricks/dbt-databricks', 0.5166671276092529, 'data', 0), ('jovianml/opendatasets', 0.5093324184417725, 'data', 0), ('wesm/pydata-book', 0.5088979005813599, 'study', 0), ('imageio/imageio', 0.5059615969657898, 'util', 0), ('dagworks-inc/hamilton', 0.5049058198928833, 'ml-ops', 1), ('intake/intake', 0.5047716498374939, 'data', 0), ('saulpw/visidata', 0.5002819299697876, 'term', 0)]

39

3

null

28.83

245

189

24

0

46

34

46

243

289

90

1.2

51

864

pandas

https://github.com/eventual-inc/daft

[]

null

[]

null

eventual-inc/daft

Daft

987

57

11

Rust

https://getdaft.io

Distributed DataFrames for Python designed for the cloud, powered by Rust

eventual-inc

2024-01-12

2022-04-25

92

10.711628

https://avatars.githubusercontent.com/u/98941975?v=4

Distributed DataFrames for Python designed for the cloud, powered by Rust

['data-engineering', 'data-science', 'dataframe', 'deep-learning', 'distributed-computing', 'image-processing', 'machine-learning', 'rust']

2024-01-13

[('backtick-se/cowait', 0.7438012361526489, 'util', 2), ('pola-rs/polars', 0.7005141377449036, 'pandas', 2), ('merantix-momentum/squirrel-core', 0.6807416081428528, 'ml', 3), ('fugue-project/fugue', 0.6778815388679504, 'pandas', 2), ('horovod/horovod', 0.6405372023582458, 'ml-ops', 2), ('delta-io/delta-rs', 0.6028104424476624, 'pandas', 1), ('fastai/fastcore', 0.572355329990387, 'util', 0), ('vaexio/vaex', 0.5715435743331909, 'perf', 3), ('dagworks-inc/hamilton', 0.5710514783859253, 'ml-ops', 4), ('dylanhogg/awesome-python', 0.5679042935371399, 'study', 3), ('sfu-db/connector-x', 0.5663425326347351, 'data', 2), ('gradio-app/gradio', 0.5626286864280701, 'viz', 3), ('lithops-cloud/lithops', 0.5597764849662781, 'ml-ops', 0), ('uber/petastorm', 0.557521641254425, 'data', 2), ('jmcarpenter2/swifter', 0.55370032787323, 'pandas', 0), ('polyaxon/datatile', 0.5458943843841553, 'pandas', 1), ('tensorflow/tensorflow', 0.5434378385543823, 'ml-dl', 2), ('krzjoa/awesome-python-data-science', 0.5433785915374756, 'study', 3), ('rapidsai/cudf', 0.5403209924697876, 'pandas', 2), ('uber/fiber', 0.5396055579185486, 'data', 2), ('netflix/metaflow', 0.5369682312011719, 'ml-ops', 2), ('hi-primus/optimus', 0.5366455316543579, 'ml-ops', 2), ('orchest/orchest', 0.5366385579109192, 'ml-ops', 2), ('pyo3/maturin', 0.5351252555847168, 'util', 1), ('aws/chalice', 0.5330685973167419, 'web', 0), ('apache/spark', 0.5322152972221375, 'data', 0), ('google/tf-quant-finance', 0.5302774906158447, 'finance', 0), ('pyinfra-dev/pyinfra', 0.5292609333992004, 'util', 0), ('eleutherai/pyfra', 0.5290564894676208, 'ml', 0), ('dask/dask', 0.5266561508178711, 'perf', 0), ('klen/muffin', 0.5256049036979675, 'web', 0), ('adap/flower', 0.5243489146232605, 'ml-ops', 2), ('aws/sagemaker-python-sdk', 0.5235341787338257, 'ml', 1), ('paddlepaddle/paddle', 0.5211067199707031, 'ml-dl', 2), ('pytables/pytables', 0.5193186402320862, 'data', 0), ('mlflow/mlflow', 0.5185021162033081, 'ml-ops', 1), ('nalepae/pandarallel', 0.5181572437286377, 'pandas', 0), ('masoniteframework/masonite', 0.5179644227027893, 'web', 0), ('darribas/gds_env', 0.5175384879112244, 'gis', 0), ('pandas-dev/pandas', 0.5169585347175598, 'pandas', 2), ('nevronai/metisfl', 0.515454113483429, 'ml', 2), ('kubeflow-kale/kale', 0.5150558352470398, 'ml-ops', 1), ('rustpython/rustpython', 0.5145300626754761, 'util', 1), ('determined-ai/determined', 0.5144329071044922, 'ml-ops', 3), ('cython/cython', 0.5138062238693237, 'util', 0), ('ydataai/ydata-profiling', 0.5120884776115417, 'pandas', 3), ('pallets/flask', 0.5096858143806458, 'web', 0), ('aws/aws-sdk-pandas', 0.5070556998252869, 'pandas', 2), ('polyaxon/polyaxon', 0.5069470405578613, 'ml-ops', 3), ('online-ml/river', 0.506720244884491, 'ml', 2), ('panda3d/panda3d', 0.5059236288070679, 'gamedev', 0), ('google/gin-config', 0.5050129890441895, 'util', 0), ('nficano/python-lambda', 0.5019513964653015, 'util', 0), ('jina-ai/jina', 0.5019222497940063, 'ml', 2), ('falconry/falcon', 0.5012557506561279, 'web', 0)]

17

3

null

17.12

327

270

21

0

30

33

30

325

375

90

1.2

51

624

gis

https://github.com/pytroll/satpy

[]

null

[]

null

pytroll/satpy

satpy

978

277

35

Python

http://satpy.readthedocs.org/en/latest/

Python package for earth-observing satellite data processing

pytroll

2024-01-12

2016-02-09

416

2.350962

https://avatars.githubusercontent.com/u/13004956?v=4

Python package for earth-observing satellite data processing

['dask', 'satellite', 'weather', 'xarray']

2024-01-10

[('sentinel-hub/eo-learn', 0.6639524102210999, 'gis', 0), ('scitools/iris', 0.6135034561157227, 'gis', 0), ('sentinel-hub/sentinelhub-py', 0.6114635467529297, 'gis', 0), ('radiantearth/radiant-mlhub', 0.5896352529525757, 'gis', 0), ('cloudsen12/easystac', 0.5563086271286011, 'gis', 0), ('opengeos/earthformer', 0.5178881287574768, 'gis', 0), ('autoviml/auto_ts', 0.5144683718681335, 'time-series', 0), ('giswqs/geemap', 0.5017055869102478, 'gis', 0)]

149

7

null

28.92

152

90

96

0

11

12

11

152

631

90

4.2

51

1,737

llm

https://github.com/akariasai/self-rag

['rag', 'retrieval']

null

[]

null

akariasai/self-rag

self-rag

946

66

9

Python

https://selfrag.github.io/

This includes the original implementation of SELF-RAG: Learning to Retrieve, Generate and Critique through self-reflection by Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, and Hannaneh Hajishirzi.

akariasai

2024-01-13

2023-10-10

16

59.125

null

This includes the original implementation of SELF-RAG: Learning to Retrieve, Generate and Critique through self-reflection by Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, and Hannaneh Hajishirzi.

[]

['rag', 'retrieval']

2023-12-22

[]

7

2

null

0.54

35

24

3

1

0

35

107

90

3.1

51

805

nlp

https://github.com/gunthercox/chatterbot

[]

null

[]

null

gunthercox/chatterbot

ChatterBot

13,767

4,453

553

Python

https://chatterbot.readthedocs.io

ChatterBot is a machine learning, conversational dialog engine for creating chat bots

gunthercox

2024-01-13

2014-09-28

487

28.252419

null

ChatterBot is a machine learning, conversational dialog engine for creating chat bots

['bot', 'chatbot', 'chatterbot', 'conversation', 'language', 'machine-learning']

2021-06-01

[('togethercomputer/openchatkit', 0.6964467167854309, 'nlp', 1), ('rasahq/rasa', 0.6935678720474243, 'llm', 3), ('deeppavlov/deeppavlov', 0.6284914016723633, 'nlp', 3), ('rcgai/simplyretrieve', 0.5998932123184204, 'llm', 1), ('gunthercox/chatterbot-corpus', 0.5911657214164734, 'nlp', 2), ('nomic-ai/gpt4all', 0.5897710919380188, 'llm', 1), ('nvidia/nemo', 0.5878262519836426, 'nlp', 0), ('embedchain/embedchain', 0.5760533809661865, 'llm', 0), ('deep-diver/llm-as-chatbot', 0.5590612888336182, 'llm', 1), ('lm-sys/fastchat', 0.5577590465545654, 'llm', 1), ('errbotio/errbot', 0.5522263646125793, 'nlp', 1), ('minimaxir/simpleaichat', 0.5406122207641602, 'llm', 0), ('databrickslabs/dolly', 0.5377427339553833, 'llm', 1), ('cheshire-cat-ai/core', 0.53544682264328, 'llm', 1), ('deepset-ai/haystack', 0.5347136855125427, 'llm', 1), ('pathwaycom/llm-app', 0.5325236916542053, 'llm', 2), ('openai/gpt-discord-bot', 0.5279523730278015, 'llm', 0), ('blinkdl/chatrwkv', 0.5218847393989563, 'llm', 1), ('kalliope-project/kalliope', 0.518312394618988, 'util', 1), ('krohling/bondai', 0.5118715763092041, 'llm', 0), ('microsoft/chatgpt-robot-manipulation-prompts', 0.5103239417076111, 'llm', 0), ('chatarena/chatarena', 0.5086801052093506, 'llm', 0)]

103

5

null

0

24

1

113

32

0

9

24

23

90

1

50

676

diffusion

https://github.com/compvis/latent-diffusion

['diffusion', 'image-generation']

null

[]

null

compvis/latent-diffusion

latent-diffusion

9,627

1,286

89

Jupyter Notebook

null

High-Resolution Image Synthesis with Latent Diffusion Models

compvis

2024-01-14

2021-12-20

110

87.404669

https://avatars.githubusercontent.com/u/30233788?v=4

High-Resolution Image Synthesis with Latent Diffusion Models

[]

['diffusion', 'image-generation']

2022-07-26

[('stability-ai/stablediffusion', 1.0000004768371582, 'diffusion', 2), ('albarji/mixture-of-diffusers', 0.6906744837760925, 'diffusion', 0), ('compvis/stable-diffusion', 0.655044674873352, 'diffusion', 2), ('openai/glide-text2im', 0.6436025500297546, 'diffusion', 0), ('huggingface/diffusers', 0.6299404501914978, 'diffusion', 2), ('sharonzhou/long_stable_diffusion', 0.5753589272499084, 'diffusion', 0), ('openai/point-e', 0.5376940369606018, 'util', 0), ('timothybrooks/instruct-pix2pix', 0.5207135081291199, 'diffusion', 0), ('kakaobrain/rq-vae-transformer', 0.5072487592697144, 'ml-dl', 0)]

5

1

null

0

67

13

25

18

0

67

147

90

2.2

50

135

ml-dl

https://github.com/keras-team/autokeras

[]

null

[]

null

keras-team/autokeras

autokeras

9,016

1,419

303

Python

http://autokeras.com/

AutoML library for deep learning

keras-team

2024-01-13

2017-11-19

323

27.888643

https://avatars.githubusercontent.com/u/34455048?v=4

AutoML library for deep learning

['autodl', 'automated-machine-learning', 'automl', 'deep-learning', 'keras', 'machine-learning', 'neural-architecture-search', 'tensorflow']

2023-10-02

[('microsoft/nni', 0.8086925148963928, 'ml', 6), ('awslabs/autogluon', 0.7593497633934021, 'ml', 4), ('microsoft/flaml', 0.7519674897193909, 'ml', 4), ('rafiqhasan/auto-tensorflow', 0.6616485714912415, 'ml-dl', 3), ('mljar/mljar-supervised', 0.6605311036109924, 'ml', 3), ('winedarksea/autots', 0.6600058078765869, 'time-series', 3), ('alpa-projects/alpa', 0.6452708840370178, 'ml-dl', 2), ('nccr-itmo/fedot', 0.6287457346916199, 'ml-ops', 3), ('explosion/thinc', 0.6246259808540344, 'ml-dl', 3), ('tensorlayer/tensorlayer', 0.622309148311615, 'ml-rl', 2), ('automl/auto-sklearn', 0.616755485534668, 'ml', 2), ('huggingface/autotrain-advanced', 0.613167405128479, 'ml', 2), ('ggerganov/ggml', 0.6085128784179688, 'ml', 1), ('tensorflow/tensor2tensor', 0.5915209650993347, 'ml', 2), ('onnx/onnx', 0.5896108746528625, 'ml', 4), ('neuralmagic/sparseml', 0.5828292369842529, 'ml-dl', 3), ('karpathy/micrograd', 0.5800349712371826, 'study', 0), ('huggingface/transformers', 0.5780196189880371, 'nlp', 3), ('huggingface/datasets', 0.5751702785491943, 'nlp', 3), ('nvidia/deeplearningexamples', 0.5739009976387024, 'ml-dl', 2), ('activeloopai/deeplake', 0.5705196857452393, 'ml-ops', 3), ('tensorflow/tensorflow', 0.5696538090705872, 'ml-dl', 3), ('keras-team/keras', 0.5688300728797913, 'ml-dl', 3), ('featurelabs/featuretools', 0.5649420022964478, 'ml', 3), ('ray-project/ray', 0.5593129396438599, 'ml-ops', 4), ('rasbt/machine-learning-book', 0.5562219023704529, 'study', 2), ('ludwig-ai/ludwig', 0.5494021773338318, 'ml-ops', 2), ('apple/coremltools', 0.546789288520813, 'ml', 2), ('mosaicml/composer', 0.5466687083244324, 'ml-dl', 2), ('lutzroeder/netron', 0.5447315573692322, 'ml', 4), ('d2l-ai/d2l-en', 0.5389357805252075, 'study', 4), ('google/automl', 0.5386403799057007, 'ml', 1), ('keras-team/keras-nlp', 0.5352697372436523, 'nlp', 4), ('ashleve/lightning-hydra-template', 0.534925103187561, 'util', 1), ('mlflow/mlflow', 0.5325337052345276, 'ml-ops', 1), ('uber/petastorm', 0.5320855975151062, 'data', 3), ('google/trax', 0.5302404761314392, 'ml-dl', 2), ('shankarpandala/lazypredict', 0.5269849896430969, 'ml', 2), ('zenml-io/zenml', 0.5269325375556946, 'ml-ops', 4), ('huggingface/exporters', 0.5266240239143372, 'ml', 3), ('microsoft/deepspeed', 0.5261964201927185, 'ml-dl', 2), ('deepmind/dm-haiku', 0.5257297158241272, 'ml-dl', 2), ('aws/sagemaker-python-sdk', 0.5244501233100891, 'ml', 2), ('polyaxon/polyaxon', 0.5219746232032776, 'ml-ops', 4), ('keras-rl/keras-rl', 0.5215295553207397, 'ml-rl', 3), ('xplainable/xplainable', 0.5181999802589417, 'ml-interpretability', 1), ('lucidrains/toolformer-pytorch', 0.516575276851654, 'llm', 1), ('pytorch/pytorch', 0.5157300233840942, 'ml-dl', 2), ('merantix-momentum/squirrel-core', 0.5147408246994019, 'ml', 3), ('microsoft/semi-supervised-learning', 0.514286458492279, 'ml', 2), ('horovod/horovod', 0.5139292478561401, 'ml-ops', 4), ('epistasislab/tpot', 0.5138368010520935, 'ml', 3), ('ourownstory/neural_prophet', 0.5104817748069763, 'ml', 2), ('aistream-peelout/flow-forecast', 0.5103901624679565, 'time-series', 1), ('oml-team/open-metric-learning', 0.5088566541671753, 'ml', 1), ('salesforce/deeptime', 0.5080786347389221, 'time-series', 1), ('microsoft/onnxruntime', 0.507604718208313, 'ml', 3), ('google/tf-quant-finance', 0.5068373680114746, 'finance', 1), ('googlecloudplatform/vertex-ai-samples', 0.5066843032836914, 'ml', 0), ('patchy631/machine-learning', 0.5066499710083008, 'ml', 0), ('pytorch/ignite', 0.5053526759147644, 'ml-dl', 2), ('iperov/deepfacelab', 0.5044635534286499, 'ml-dl', 2), ('amanchadha/coursera-deep-learning-specialization', 0.5036728382110596, 'study', 1), ('albumentations-team/albumentations', 0.5026241540908813, 'ml-dl', 2), ('torantulino/auto-gpt', 0.5023127198219299, 'llm', 0), ('lightly-ai/lightly', 0.5014397501945496, 'ml', 2), ('intel/intel-extension-for-pytorch', 0.5002623200416565, 'perf', 2)]

143

4

null

0.37

5

0

75

3

1

9

1

5

7

90

1.4

50

942

web

https://github.com/bottlepy/bottle

[]

null

[]

null

bottlepy/bottle

bottle

8,217

1,471

312

Python

http://bottlepy.org/

bottle.py is a fast and simple micro-framework for python web-applications.

bottlepy

2024-01-13

2009-06-30

761

10.797635

https://avatars.githubusercontent.com/u/1019799?v=4

bottle.py is a fast and simple micro-framework for python web-applications.

['bottle', 'rest', 'web-framework', 'wsgi']

2024-01-03

[('pallets/flask', 0.8060166835784912, 'web', 2), ('webpy/webpy', 0.7816590070724487, 'web', 0), ('pylons/pyramid', 0.7196846008300781, 'web', 2), ('cherrypy/cherrypy', 0.6888998746871948, 'web', 0), ('pallets/werkzeug', 0.6876417994499207, 'web', 1), ('masoniteframework/masonite', 0.6854233741760254, 'web', 0), ('falconry/falcon', 0.677134096622467, 'web', 2), ('willmcgugan/textual', 0.661994218826294, 'term', 0), ('reflex-dev/reflex', 0.6463294625282288, 'web', 0), ('scrapy/scrapy', 0.6345263123512268, 'data', 0), ('python-restx/flask-restx', 0.628285825252533, 'web', 1), ('eleutherai/pyfra', 0.6280529499053955, 'ml', 0), ('pypy/pypy', 0.623259961605072, 'util', 0), ('klen/muffin', 0.6195411086082458, 'web', 0), ('benoitc/gunicorn', 0.6153336763381958, 'web', 1), ('pyodide/pyodide', 0.6117225289344788, 'util', 0), ('pallets/quart', 0.5997056365013123, 'web', 0), ('pyeve/eve', 0.594473659992218, 'web', 1), ('pyinfra-dev/pyinfra', 0.590758204460144, 'util', 0), ('pylons/waitress', 0.5867997407913208, 'web', 0), ('neoteroi/blacksheep', 0.5855295062065125, 'web', 0), ('pyodide/micropip', 0.5800544023513794, 'util', 0), ('simple-salesforce/simple-salesforce', 0.5755710601806641, 'data', 0), ('r0x0r/pywebview', 0.5649958252906799, 'gui', 0), ('ets-labs/python-dependency-injector', 0.5632432699203491, 'util', 0), ('ethereum/web3.py', 0.5624367594718933, 'crypto', 0), ('flet-dev/flet', 0.5521423816680908, 'web', 0), ('1200wd/bitcoinlib', 0.5447421669960022, 'crypto', 0), ('requests/toolbelt', 0.5425326228141785, 'util', 0), ('hoffstadt/dearpygui', 0.541211724281311, 'gui', 0), ('stephenmcd/mezzanine', 0.5408180952072144, 'web', 0), ('encode/uvicorn', 0.5337467193603516, 'web', 0), ('timofurrer/awesome-asyncio', 0.5336396098136902, 'study', 0), ('indico/indico', 0.5327122211456299, 'web', 0), ('clips/pattern', 0.5306470990180969, 'nlp', 0), ('encode/httpx', 0.5296392440795898, 'web', 0), ('man-c/pycoingecko', 0.5294601917266846, 'crypto', 0), ('django/django', 0.5293058156967163, 'web', 0), ('dddomodossola/remi', 0.5286058187484741, 'gui', 0), ('klen/py-frameworks-bench', 0.5283790826797485, 'perf', 0), ('pypa/hatch', 0.5236046314239502, 'util', 0), ('plotly/dash', 0.5221378803253174, 'viz', 0), ('vitalik/django-ninja', 0.5206802487373352, 'web', 0), ('backtick-se/cowait', 0.5192388892173767, 'util', 0), ('fastai/fastcore', 0.5190497040748596, 'util', 0), ('tiangolo/sqlmodel', 0.5186842679977417, 'data', 0), ('tornadoweb/tornado', 0.5174039006233215, 'web', 0), ('dylanhogg/awesome-python', 0.5162600874900818, 'study', 0), ('holoviz/panel', 0.5157780647277832, 'viz', 0), ('pyglet/pyglet', 0.5153478384017944, 'gamedev', 0), ('indygreg/pyoxidizer', 0.514263391494751, 'util', 0), ('goldmansachs/gs-quant', 0.5141693949699402, 'finance', 0), ('feincms/feincms', 0.5126698613166809, 'web', 0), ('sqlalchemy/mako', 0.5123538970947266, 'template', 0), ('alirn76/panther', 0.5107240676879883, 'web', 0), ('voila-dashboards/voila', 0.5106417536735535, 'jupyter', 0), ('urwid/urwid', 0.5075056552886963, 'term', 0), ('pycqa/pylint-django', 0.5043782591819763, 'util', 0), ('rawheel/fastapi-boilerplate', 0.5016167759895325, 'web', 0)]

226

8

null

0.02

12

6

177

5

0

6

12

27

90

2.2

50

96

perf

https://github.com/vaexio/vaex

[]

null

[]

null

vaexio/vaex

vaex

8,106

590

145

Python

https://vaex.io

Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀

vaexio

2024-01-14

2014-09-27

487

16.630129

https://avatars.githubusercontent.com/u/45720408?v=4

Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀

['bigdata', 'data-science', 'dataframe', 'hdf5', 'machine-learning', 'machinelearning', 'memory-mapped-file', 'pyarrow', 'tabular-data', 'visualization']

2023-07-21

[('apache/arrow', 0.6739583611488342, 'data', 0), ('blaze/blaze', 0.6084710359573364, 'pandas', 0), ('ibis-project/ibis', 0.6082955598831177, 'data', 1), ('man-group/dtale', 0.6020064353942871, 'viz', 2), ('pytables/pytables', 0.6015515923500061, 'data', 0), ('holoviz/panel', 0.5968863368034363, 'viz', 0), ('pyqtgraph/pyqtgraph', 0.592536449432373, 'viz', 1), ('fastai/fastcore', 0.5877453088760376, 'util', 0), ('pola-rs/polars', 0.5824528336524963, 'pandas', 1), ('jazzband/tablib', 0.575348973274231, 'data', 0), ('eventual-inc/daft', 0.5715435743331909, 'pandas', 3), ('graphistry/pygraphistry', 0.5663058161735535, 'data', 1), ('rapidsai/cudf', 0.56623375415802, 'pandas', 2), ('holoviz/datashader', 0.5661620497703552, 'gis', 0), ('polyaxon/datatile', 0.5635982155799866, 'pandas', 1), ('apache/spark', 0.5628867149353027, 'data', 0), ('mito-ds/monorepo', 0.5610413551330566, 'jupyter', 1), ('contextlab/hypertools', 0.548748791217804, 'ml', 1), ('scikit-hep/awkward-1.0', 0.5477538704872131, 'data', 0), ('huggingface/datasets', 0.545326828956604, 'nlp', 1), ('jmcarpenter2/swifter', 0.5449737906455994, 'pandas', 0), ('dylanhogg/awesome-python', 0.5425941944122314, 'study', 2), ('jakevdp/pythondatasciencehandbook', 0.5422857999801636, 'study', 0), ('mljar/mljar-supervised', 0.5394431352615356, 'ml', 2), ('gradio-app/gradio', 0.5373766422271729, 'viz', 2), ('residentmario/geoplot', 0.5356773734092712, 'gis', 0), ('pandas-dev/pandas', 0.5320824980735779, 'pandas', 2), ('cython/cython', 0.5234464406967163, 'util', 0), ('holoviz/holoviz', 0.5222266316413879, 'viz', 0), ('kanaries/pygwalker', 0.5217480063438416, 'pandas', 2), ('bokeh/bokeh', 0.5212001800537109, 'viz', 1), ('fugue-project/fugue', 0.5170252919197083, 'pandas', 1), ('quantopian/qgrid', 0.5162068009376526, 'jupyter', 0), ('hi-primus/optimus', 0.5148595571517944, 'ml-ops', 3), ('wesm/pydata-book', 0.5123580098152161, 'study', 0), ('nalepae/pandarallel', 0.5113261938095093, 'pandas', 0), ('astanin/python-tabulate', 0.5106703042984009, 'util', 0), ('ploomber/ploomber', 0.5101336240768433, 'ml-ops', 2), ('ydataai/ydata-synthetic', 0.5099949836730957, 'data', 1), ('lux-org/lux', 0.5093144178390503, 'viz', 2), ('kubeflow-kale/kale', 0.5090245008468628, 'ml-ops', 1), ('holoviz/hvplot', 0.5080651640892029, 'pandas', 0), ('saulpw/visidata', 0.5060981512069702, 'term', 2), ('tobymao/sqlglot', 0.5004581809043884, 'data', 0), ('uber/petastorm', 0.500319242477417, 'data', 2), ('plotly/dash', 0.5000450611114502, 'viz', 1)]

72

6

null

0.52

19

2

113

6

0

40

19

23

90

1.2

50

321

web

https://github.com/graphql-python/graphene

[]

null

[]

null

graphql-python/graphene

graphene

7,884

871

141

Python

http://graphene-python.org/

GraphQL framework for Python

graphql-python

2024-01-14

2015-09-24

435

18.094426

https://avatars.githubusercontent.com/u/15002022?v=4

GraphQL framework for Python

['framework', 'graphene', 'graphql', 'relay']

2023-10-06

[('pygraphviz/pygraphviz', 0.5481510162353516, 'viz', 0), ('accenture/cymple', 0.5159372091293335, 'data', 0), ('westhealth/pyvis', 0.5054649114608765, 'graph', 0), ('pydot/pydot', 0.5014999508857727, 'viz', 0)]

207

6

null

0.37

15

7

101

3

2

7

2

15

90

1

50

154

util

https://github.com/marshmallow-code/marshmallow

[]

null

[]

null

marshmallow-code/marshmallow

marshmallow

6,778

640

82

Python

https://marshmallow.readthedocs.io/

A lightweight library for converting complex objects to and from simple Python datatypes.

marshmallow-code

2024-01-13

2013-11-10

533

12.709885

https://avatars.githubusercontent.com/u/10334301?v=4

A lightweight library for converting complex objects to and from simple Python datatypes.

['deserialization', 'marshalling', 'schema', 'serde', 'serialization', 'validation']

2024-01-10

[('pyeve/cerberus', 0.6555448174476624, 'data', 0), ('python-odin/odin', 0.6529213190078735, 'util', 1), ('pylons/colander', 0.6454058885574341, 'util', 3), ('yukinarit/pyserde', 0.6370522379875183, 'util', 2), ('jsonpickle/jsonpickle', 0.6203814744949341, 'data', 2), ('pydantic/pydantic', 0.606956422328949, 'util', 2), ('instagram/libcst', 0.6035540699958801, 'util', 0), ('pytoolz/toolz', 0.5878369808197021, 'util', 0), ('uqfoundation/dill', 0.5810075402259827, 'data', 0), ('lk-geimfari/mimesis', 0.5606078505516052, 'data', 1), ('instagram/monkeytype', 0.5554887056350708, 'typing', 0), ('facebook/pyre-check', 0.5461035966873169, 'typing', 0), ('pyston/pyston', 0.5445635914802551, 'util', 0), ('brokenloop/jsontopydantic', 0.5406548380851746, 'util', 0), ('tiangolo/sqlmodel', 0.539881706237793, 'data', 0), ('pandas-dev/pandas', 0.5381511449813843, 'pandas', 0), ('lidatong/dataclasses-json', 0.5334739089012146, 'util', 0), ('samuelcolvin/rtoml', 0.5252963900566101, 'data', 1), ('fabiocaccamo/python-benedict', 0.5224064588546753, 'util', 0), ('konradhalas/dacite', 0.5163299441337585, 'util', 0), ('xrudelis/pytrait', 0.5146151185035706, 'util', 0), ('strawberry-graphql/strawberry', 0.5134101510047913, 'web', 0), ('fastai/fastcore', 0.5120862722396851, 'util', 0), ('google/pytype', 0.5046632289886475, 'typing', 0), ('imageio/imageio', 0.503285825252533, 'util', 0), ('kubeflow/fairing', 0.5004829168319702, 'ml-ops', 0)]

208

1

null

2.23

43

33

124

0

17

43

30

90

0.7

50

508

ml

https://github.com/google/automl

[]

null

[]

null

google/automl

automl

6,083

1,464

156

Jupyter Notebook

null

Google Brain AutoML

google

2024-01-13

2020-03-12

202

30.007752

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

Google Brain AutoML

['automl', 'efficientdet', 'efficientnet', 'efficientnetv2', 'object-detection']

2023-12-14

[('rwightman/pytorch-image-models', 0.5850779414176941, 'ml-dl', 1), ('nvlabs/gcvit', 0.5431532859802246, 'diffusion', 1), ('keras-team/autokeras', 0.5386403799057007, 'ml-dl', 1), ('blakeblackshear/frigate', 0.5250091552734375, 'util', 1), ('deepmind/deepmind-research', 0.5214808583259583, 'ml', 0), ('deci-ai/super-gradients', 0.5212241411209106, 'ml-dl', 1), ('awslabs/autogluon', 0.5180317163467407, 'ml', 2), ('karpathy/micrograd', 0.5122846364974976, 'study', 0), ('googlecloudplatform/practical-ml-vision-book', 0.5014958381652832, 'study', 0)]

42

4

null

0.38

14

6

47

1

0

1

14

11

90

0.8

50

300

data

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

[]

null

[]

null

kaggle/kaggle-api

kaggle-api

5,734

1,050

194

Python

null

Official Kaggle API

kaggle

2024-01-14

2018-01-25

313

18.277778

https://avatars.githubusercontent.com/u/1336944?v=4

Official Kaggle API

[]

2024-01-08

[]

37

2

null

0.15

40

17

73

0

5

1

5

40

52

90

1.3

50

308

crypto

https://github.com/crytic/slither

[]

null

[]

null

crytic/slither

slither

4,790

894

68

Python

https://blog.trailofbits.com/2018/10/19/slither-a-solidity-static-analysis-framework/

Static Analyzer for Solidity and Vyper

crytic

2024-01-13

2018-09-05

281

16.994425

https://avatars.githubusercontent.com/u/48330002?v=4

Static Analyzer for Solidity and Vyper

['ethereum', 'solidity', 'static-analysis', 'vyper']

2023-10-18

[('google/pytype', 0.6767980456352234, 'typing', 1), ('instagram/monkeytype', 0.5720254182815552, 'typing', 0), ('astral-sh/ruff', 0.5403991937637329, 'util', 1)]

126

1

null

12.58

132

61

65

3

5

7

5

132

119

90

0.9

50

1,670

testing

https://github.com/getsentry/responses

['mocking', 'requests']

null

[]

null

getsentry/responses

responses

3,994

339

91

Python

null

A utility for mocking out the Python Requests library.

getsentry

2024-01-13

2013-11-15

532

7.499464

https://avatars.githubusercontent.com/u/1396951?v=4

A utility for mocking out the Python Requests library.

['tag-production']

['mocking', 'requests', 'tag-production']

2024-01-10

[('jamielennox/requests-mock', 0.7649958729743958, 'testing', 1), ('requests/toolbelt', 0.7001904249191284, 'util', 0), ('wolever/parameterized', 0.6193545460700989, 'testing', 0), ('psf/requests', 0.6119535565376282, 'web', 1), ('lundberg/respx', 0.5848559737205505, 'testing', 1), ('nedbat/coveragepy', 0.5841493606567383, 'testing', 0), ('lk-geimfari/mimesis', 0.5823182463645935, 'data', 0), ('taverntesting/tavern', 0.5727768540382385, 'testing', 0), ('pytest-dev/pytest-mock', 0.5724997520446777, 'testing', 0), ('kevin1024/vcrpy', 0.5679908990859985, 'testing', 1), ('eleutherai/pyfra', 0.5386306047439575, 'ml', 0), ('buildbot/buildbot', 0.5227794647216797, 'util', 0), ('pytoolz/toolz', 0.52274489402771, 'util', 0), ('pympler/pympler', 0.520066499710083, 'perf', 0), ('pmorissette/bt', 0.5153909921646118, 'finance', 0), ('mementum/backtrader', 0.5119891166687012, 'finance', 0), ('ionelmc/pytest-benchmark', 0.5085520148277283, 'testing', 0), ('google/python-fire', 0.5072945952415466, 'term', 0), ('encode/httpx', 0.5034039616584778, 'web', 0), ('snyk/faker-security', 0.5025610327720642, 'security', 0), ('locustio/locust', 0.5024783611297607, 'testing', 0), ('mkdocstrings/griffe', 0.5013567209243774, 'util', 0)]

124

5

null

0.92

27

23

124

0

6

5

6

27

60

90

2.2

50

320

gui

https://github.com/r0x0r/pywebview

[]

null

[]

null

r0x0r/pywebview

pywebview

3,981

507

62

Python

https://pywebview.flowrl.com

Build GUI for your Python program with JavaScript, HTML, and CSS

r0x0r

2024-01-13

2014-11-20

479

8.29869

null

Build GUI for your Python program with JavaScript, HTML, and CSS

['cef', 'cocoa', 'gtk', 'gui', 'html', 'javascript', 'linux', 'osx', 'qt', 'webkit', 'windows']

2023-12-10

[('willmcgugan/textual', 0.6927530765533447, 'term', 0), ('parthjadhav/tkinter-designer', 0.6899272799491882, 'gui', 1), ('kivy/kivy', 0.6854493618011475, 'util', 2), ('hoffstadt/dearpygui', 0.6651965379714966, 'gui', 3), ('beeware/toga', 0.6624377965927124, 'gui', 1), ('pallets/flask', 0.6464259624481201, 'web', 0), ('pysimplegui/pysimplegui', 0.6416908502578735, 'gui', 2), ('webpy/webpy', 0.6379135251045227, 'web', 0), ('masoniteframework/masonite', 0.6317577362060547, 'web', 0), ('urwid/urwid', 0.6302554607391357, 'term', 0), ('reflex-dev/reflex', 0.6069856882095337, 'web', 0), ('plotly/dash', 0.6030216217041016, 'viz', 0), ('flet-dev/flet', 0.5987342000007629, 'web', 0), ('pyglet/pyglet', 0.593908965587616, 'gamedev', 0), ('pypa/build', 0.5934130549430847, 'util', 0), ('bokeh/bokeh', 0.5825904607772827, 'viz', 1), ('klen/muffin', 0.5798044800758362, 'web', 0), ('pypy/pypy', 0.5696408748626709, 'util', 0), ('wxwidgets/phoenix', 0.5664918422698975, 'gui', 3), ('bottlepy/bottle', 0.5649958252906799, 'web', 0), ('jquast/blessed', 0.5557140707969666, 'term', 0), ('reactive-python/reactpy', 0.5532059073448181, 'web', 1), ('holoviz/panel', 0.5402711629867554, 'viz', 1), ('microsoft/playwright-python', 0.5271952748298645, 'testing', 1), ('seleniumbase/seleniumbase', 0.5268258452415466, 'testing', 1), ('pyodide/pyodide', 0.5263348817825317, 'util', 0), ('vizzuhq/ipyvizzu', 0.5254994034767151, 'jupyter', 0), ('python/cpython', 0.5236340165138245, 'util', 0), ('dylanhogg/awesome-python', 0.5234578251838684, 'study', 0), ('pygamelib/pygamelib', 0.5211628079414368, 'gamedev', 0), ('voila-dashboards/voila', 0.5208461880683899, 'jupyter', 0), ('jupyterlab/jupyterlab-desktop', 0.520444393157959, 'jupyter', 0), ('pylons/pyramid', 0.5202688574790955, 'web', 0), ('maartenbreddels/ipyvolume', 0.5197725296020508, 'jupyter', 0), ('plotly/plotly.py', 0.5167466402053833, 'viz', 0), ('adafruit/circuitpython', 0.5162983536720276, 'util', 0), ('gradio-app/gradio', 0.5159224271774292, 'viz', 0), ('timofurrer/awesome-asyncio', 0.5146098136901855, 'study', 0), ('connorferster/handcalcs', 0.5135572552680969, 'jupyter', 0), ('1200wd/bitcoinlib', 0.5121883153915405, 'crypto', 0), ('cobrateam/splinter', 0.5121274590492249, 'testing', 0), ('pyscript/pyscript', 0.5112079381942749, 'web', 2), ('amaargiru/pyroad', 0.5109246969223022, 'study', 0), ('pallets/quart', 0.5082329511642456, 'web', 0), ('beeware/briefcase', 0.5074366927146912, 'util', 0), ('goldmansachs/gs-quant', 0.5072776079177856, 'finance', 0), ('clips/pattern', 0.5047861933708191, 'nlp', 0), ('jiffyclub/snakeviz', 0.5045416951179504, 'profiling', 0), ('dddomodossola/remi', 0.5024312138557434, 'gui', 1), ('eleutherai/pyfra', 0.5016577243804932, 'ml', 0)]

123

2

null

3.92

72

56

111

1

13

7

13

72

148

90

2.1

50

100

ml

https://github.com/skvark/opencv-python

[]

null

[]

null

skvark/opencv-python

opencv-python

3,923

812

86

Python

https://pypi.org/project/opencv-python/

Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-contrib-python-headless packages.

skvark

2024-01-14

2016-04-08

407

9.625307

https://avatars.githubusercontent.com/u/5009934?v=4

Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-contrib-python-headless packages.

['manylinux', 'opencv', 'opencv-contrib-python', 'opencv-python', 'precompiled', 'wheel']

2023-12-31

[('pypa/pipenv', 0.5230939984321594, 'util', 0)]

48

5

null

0.69

77

50

95

0

6

9

6

77

113

90

1.5

50

742

diffusion

https://github.com/nateraw/stable-diffusion-videos

[]

null

[]

null

nateraw/stable-diffusion-videos

stable-diffusion-videos

3,917

373

53

Python

null

Create 🔥 videos with Stable Diffusion by exploring the latent space and morphing between text prompts

nateraw

2024-01-13

2022-09-06

73

53.657534

null

Create 🔥 videos with Stable Diffusion by exploring the latent space and morphing between text prompts

['ai-art', 'huggingface', 'huggingface-diffusers', 'machine-learning', 'stable-diffusion']

2023-05-07

[('saharmor/dalle-playground', 0.671584963798523, 'diffusion', 2), ('compvis/stable-diffusion', 0.6355494856834412, 'diffusion', 0), ('carson-katri/dream-textures', 0.6127192378044128, 'diffusion', 1), ('automatic1111/stable-diffusion-webui', 0.6116631627082825, 'diffusion', 2), ('jina-ai/discoart', 0.5996933579444885, 'diffusion', 1), ('invoke-ai/invokeai', 0.5912322402000427, 'diffusion', 2), ('stability-ai/stability-sdk', 0.5674799680709839, 'diffusion', 2), ('albarji/mixture-of-diffusers', 0.5622400045394897, 'diffusion', 1), ('huggingface/diffusers', 0.5594053268432617, 'diffusion', 1), ('openai/glide-text2im', 0.5577892661094666, 'diffusion', 0), ('open-mmlab/mmediting', 0.5489683747291565, 'ml', 0), ('fourthbrain/fastapi-for-machine-learning-live-demo', 0.5448333024978638, 'web', 0), ('chenyangqiqi/fatezero', 0.543769896030426, 'diffusion', 1), ('lunarring/latentblending', 0.5257456302642822, 'diffusion', 1), ('facebookresearch/mmf', 0.5128837823867798, 'ml-dl', 0), ('sharonzhou/long_stable_diffusion', 0.512672483921051, 'diffusion', 0), ('thereforegames/unprompted', 0.5079180002212524, 'diffusion', 2), ('thudm/cogvideo', 0.5062693357467651, 'ml', 0)]

14

5

null

0.33

8

1

16

8

1

13

1

8

10

90

1.2

50

1,791

util

https://github.com/bogdanp/dramatiq

[]

null

[]

null

bogdanp/dramatiq

dramatiq

3,884

277

63

Python

https://dramatiq.io

A fast and reliable background task processing library for Python 3.

bogdanp

2024-01-13

2017-05-30

348

11.16092

null

A fast and reliable background task processing library for Python 3.

['distributed-lock', 'rabbit', 'redis', 'task', 'task-manager', 'task-runner', 'task-scheduler']

2024-01-13

[('agronholm/apscheduler', 0.6053295135498047, 'util', 0), ('samuelcolvin/arq', 0.5857503414154053, 'data', 1), ('mher/flower', 0.5586143732070923, 'perf', 1), ('joblib/loky', 0.5552358031272888, 'perf', 0), ('airtai/faststream', 0.5551525354385376, 'perf', 1), ('tox-dev/py-filelock', 0.5492278337478638, 'util', 0), ('python-trio/trio', 0.5322513580322266, 'perf', 0), ('dask/dask', 0.5178118944168091, 'perf', 0), ('sumerc/yappi', 0.517719566822052, 'profiling', 0), ('dask/distributed', 0.5118077993392944, 'perf', 0)]

100

6

null

1.15

29

14

81

0

4

10

4

29

39

90

1.3

50

1,291

llm

https://github.com/ravenscroftj/turbopilot

[]

null

[]

null

ravenscroftj/turbopilot

turbopilot

3,842

133

43

C++

null

Turbopilot is an open source large-language-model based code completion engine that runs locally on CPU

ravenscroftj

2024-01-12

2023-04-09

42

90.858108

null

Turbopilot is an open source large-language-model based code completion engine that runs locally on CPU

['code-completion', 'cpp', 'language-model', 'machine-learning']

2023-09-30

[('databrickslabs/dolly', 0.5751809477806091, 'llm', 0), ('modularml/mojo', 0.5523777604103088, 'util', 1), ('salesforce/codegen', 0.5407807230949402, 'nlp', 0), ('lianjiatech/belle', 0.5382049083709717, 'llm', 0), ('microsoft/pycodegpt', 0.524189293384552, 'llm', 0), ('salesforce/codet5', 0.5119407773017883, 'nlp', 1), ('titanml/takeoff', 0.5088446140289307, 'llm', 1), ('togethercomputer/redpajama-data', 0.5085808038711548, 'llm', 0), ('thudm/codegeex', 0.5072124600410461, 'llm', 0), ('conceptofmind/toolformer', 0.5007780194282532, 'llm', 1)]

7

1

null

5.13

1

9

4

7

11

7

1

0

90

0

50

889

viz

https://github.com/has2k1/plotnine

[]

null

[]

null

has2k1/plotnine

plotnine

3,682

207

65

Python

https://plotnine.org

A Grammar of Graphics for Python

has2k1

2024-01-13

2017-04-24

353

10.426375

null

A Grammar of Graphics for Python

['data-analysis', 'grammar', 'graphics', 'plotting']

2024-01-12

[('altair-viz/altair', 0.6832043528556824, 'viz', 0), ('matplotlib/matplotlib', 0.6249548196792603, 'viz', 1), ('holoviz/holoviz', 0.6090349555015564, 'viz', 0), ('plotly/plotly.py', 0.6062517762184143, 'viz', 0), ('mwaskom/seaborn', 0.6059504747390747, 'viz', 0), ('holoviz/geoviews', 0.6033970713615417, 'gis', 1), ('residentmario/geoplot', 0.5918059349060059, 'gis', 0), ('vizzuhq/ipyvizzu', 0.585931122303009, 'jupyter', 1), ('scitools/cartopy', 0.5810568332672119, 'gis', 0), ('holoviz/hvplot', 0.5800595879554749, 'pandas', 1), ('imageio/imageio', 0.5798242092132568, 'util', 0), ('bokeh/bokeh', 0.5768696069717407, 'viz', 1), ('man-group/dtale', 0.5764876008033752, 'viz', 1), ('python/cpython', 0.5753418803215027, 'util', 0), ('pandas-dev/pandas', 0.5737428069114685, 'pandas', 1), ('scitools/iris', 0.5705260634422302, 'gis', 1), ('artelys/geonetworkx', 0.569690465927124, 'gis', 0), ('pytoolz/toolz', 0.5640243887901306, 'util', 0), ('opengeos/leafmap', 0.5541620254516602, 'gis', 0), ('holoviz/panel', 0.5538381338119507, 'viz', 0), ('pyston/pyston', 0.5506923198699951, 'util', 0), ('pysal/pysal', 0.5488908290863037, 'gis', 0), ('sympy/sympy', 0.5483768582344055, 'math', 0), ('graphistry/pygraphistry', 0.5480146408081055, 'data', 0), ('westhealth/pyvis', 0.5456839203834534, 'graph', 0), ('gboeing/pynamical', 0.5370927453041077, 'sim', 0), ('wesm/pydata-book', 0.5339842438697815, 'study', 0), ('cuemacro/chartpy', 0.5336882472038269, 'viz', 1), ('albahnsen/pycircular', 0.5327418446540833, 'math', 0), ('brandtbucher/specialist', 0.5308057069778442, 'perf', 0), ('enthought/mayavi', 0.5297136902809143, 'viz', 0), ('giswqs/geemap', 0.5272516012191772, 'gis', 0), ('nschloe/perfplot', 0.5270527005195618, 'perf', 0), ('pyparsing/pyparsing', 0.5245786905288696, 'util', 0), ('zulko/moviepy', 0.524414598941803, 'util', 0), ('jakevdp/pythondatasciencehandbook', 0.5220550894737244, 'study', 0), ('alexmojaki/heartrate', 0.5188327431678772, 'debug', 0), ('pygraphviz/pygraphviz', 0.5177363753318787, 'viz', 0), ('contextlab/hypertools', 0.5157314538955688, 'ml', 0), ('eleutherai/pyfra', 0.5156086683273315, 'ml', 0), ('dfki-ric/pytransform3d', 0.5153816342353821, 'math', 0), ('kanaries/pygwalker', 0.5138752460479736, 'pandas', 1), ('holoviz/holoviews', 0.5102058053016663, 'viz', 1), ('earthlab/earthpy', 0.5097348093986511, 'gis', 0), ('vispy/vispy', 0.5095175504684448, 'viz', 0), ('pyproj4/pyproj', 0.5081332921981812, 'gis', 0), ('federicoceratto/dashing', 0.5077523589134216, 'term', 0), ('rapidsai/cudf', 0.5067694783210754, 'pandas', 1), ('google/latexify_py', 0.5012533068656921, 'util', 0)]

105

3

null

5.33

31

25

82

0

4

3

4

31

40

90

1.3

50

553

jupyter

https://github.com/executablebooks/jupyter-book

[]

null

[]

null

executablebooks/jupyter-book

jupyter-book

3,592

649

63

Python

http://jupyterbook.org

Create beautiful, publication-quality books and documents from computational content.

executablebooks

2024-01-13

2018-06-14

293

12.229572

https://avatars.githubusercontent.com/u/57655115?v=4

Create beautiful, publication-quality books and documents from computational content.

['documentation-generator', 'jupyter', 'sphinx-doc']

2023-12-05

[('sphinx-doc/sphinx', 0.753897488117218, 'util', 0), ('mediawiki-client-tools/mediawiki-dump-generator', 0.535974383354187, 'data', 0), ('mitmproxy/pdoc', 0.5281922817230225, 'util', 1), ('squidfunk/mkdocs-material', 0.5147403478622437, 'util', 0)]

134

5

null

0.81

66

24

68

1

4

8

4

66

96

90

1.5

50

1,603

llm

https://github.com/1rgs/jsonformer

['prompt-engineering', 'json']

null

[]

null

1rgs/jsonformer

jsonformer

3,448

109

19

Jupyter Notebook

null

A Bulletproof Way to Generate Structured JSON from Language Models

1rgs

2024-01-13

2023-04-29

39

87.449275

null

A Bulletproof Way to Generate Structured JSON from Language Models

[]

['json', 'prompt-engineering']

2023-05-30

[('neulab/prompt2model', 0.6683309674263, 'llm', 0), ('keirp/automatic_prompt_engineer', 0.5909636616706848, 'llm', 1), ('brokenloop/jsontopydantic', 0.5837192535400391, 'util', 0), ('guidance-ai/guidance', 0.5747532248497009, 'llm', 1), ('srush/minichain', 0.5634762644767761, 'llm', 1), ('hazyresearch/ama_prompting', 0.5634579062461853, 'llm', 1), ('juncongmoo/pyllama', 0.5465362071990967, 'llm', 0), ('ctlllll/llm-toolmaker', 0.5433797240257263, 'llm', 0), ('lidatong/dataclasses-json', 0.529080331325531, 'util', 1), ('hannibal046/awesome-llm', 0.5063848495483398, 'study', 0), ('ai21labs/lm-evaluation', 0.5037403702735901, 'llm', 0)]

6

4

null

0.69

8

0

9

8

0

8

90

1

50

1,564

llm

https://github.com/deep-diver/llm-as-chatbot

['chatbot']

null

[]

null

deep-diver/llm-as-chatbot

LLM-As-Chatbot

3,161

392

50

Python

null

LLM as a Chatbot Service

deep-diver

2024-01-12

2023-02-27

48

65.658754

null

LLM as a Chatbot Service

[]

['chatbot']

2023-11-20

[('nomic-ai/gpt4all', 0.7740846276283264, 'llm', 1), ('pathwaycom/llm-app', 0.6957004070281982, 'llm', 1), ('hwchase17/langchain', 0.6912153363227844, 'llm', 1), ('intel/intel-extension-for-transformers', 0.6634297966957092, 'perf', 1), ('embedchain/embedchain', 0.6422813534736633, 'llm', 0), ('deepset-ai/haystack', 0.6116864085197449, 'llm', 0), ('microsoft/promptcraft-robotics', 0.6085308194160461, 'sim', 0), ('chatarena/chatarena', 0.5871044397354126, 'llm', 0), ('thudm/chatglm2-6b', 0.5782683491706848, 'llm', 0), ('mmabrouk/chatgpt-wrapper', 0.5747789144515991, 'llm', 1), ('h2oai/h2o-llmstudio', 0.5731402635574341, 'llm', 1), ('shishirpatil/gorilla', 0.5617109537124634, 'llm', 0), ('aws-samples/serverless-pdf-chat', 0.5605927109718323, 'llm', 0), ('rcgai/simplyretrieve', 0.5600287914276123, 'llm', 0), ('run-llama/rags', 0.5595909953117371, 'llm', 1), ('gunthercox/chatterbot', 0.5590612888336182, 'nlp', 1), ('berriai/litellm', 0.5576227903366089, 'llm', 0), ('chainlit/chainlit', 0.548169732093811, 'llm', 0), ('microsoft/semantic-kernel', 0.5478009581565857, 'llm', 0), ('microsoft/autogen', 0.5456553101539612, 'llm', 1), ('togethercomputer/openchatkit', 0.5419533848762512, 'nlp', 1), ('ajndkr/lanarky', 0.5414519309997559, 'llm', 0), ('young-geng/easylm', 0.5367242097854614, 'llm', 1), ('mnotgod96/appagent', 0.5356595516204834, 'llm', 0), ('fasteval/fasteval', 0.5321249961853027, 'llm', 0), ('microsoft/promptflow', 0.5296043753623962, 'llm', 0), ('zilliztech/gptcache', 0.5247036218643188, 'llm', 1), ('microsoft/jarvis', 0.5197903513908386, 'llm', 0), ('bigscience-workshop/petals', 0.5034541487693787, 'data', 1), ('eugeneyan/open-llms', 0.502346932888031, 'study', 0), ('agenta-ai/agenta', 0.5022589564323425, 'llm', 0), ('larsbaunwall/bricky', 0.5015654563903809, 'llm', 0), ('errbotio/errbot', 0.5012304186820984, 'nlp', 1), ('nebuly-ai/nebullvm', 0.5001731514930725, 'perf', 0)]

7

4

null

6.19

2

0

11

2

0

2

1

90

0.5

50

899

ml

https://github.com/rucaibox/recbole

[]

null

[]

null

rucaibox/recbole

RecBole

3,022

562

40

Python

https://recbole.io/

A unified, comprehensive and efficient recommendation library

rucaibox

2024-01-13

2020-06-11

189

15.929217

https://avatars.githubusercontent.com/u/54706620?v=4

A unified, comprehensive and efficient recommendation library

['collaborative-filtering', 'ctr-prediction', 'deep-learning', 'graph-neural-networks', 'knowledge-graph', 'pytorch', 'recommendation-system', 'recommendations', 'recommender', 'recommender-systems', 'sequential-recommendation']

2023-11-25

[('pytorch/torchrec', 0.7371825575828552, 'ml-dl', 3), ('microsoft/recommenders', 0.5956623554229736, 'study', 3), ('nicolashug/surprise', 0.5934752821922302, 'ml', 1), ('pyg-team/pytorch_geometric', 0.566724419593811, 'ml-dl', 3), ('tensorlayer/tensorlayer', 0.5453563928604126, 'ml-rl', 1), ('a-r-j/graphein', 0.5301325917243958, 'sim', 3), ('explosion/thinc', 0.5200947523117065, 'ml-dl', 2)]

70

5

null

2.96

86

35

44

2

1

2

1

86

136

90

1.6

50

822

study

https://github.com/huggingface/diffusion-models-class

[]

null

[]

null

huggingface/diffusion-models-class

diffusion-models-class

2,931

309

71

Jupyter Notebook

null

Materials for the Hugging Face Diffusion Models Course

huggingface

2024-01-14

2022-10-13

67

43.28481

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

Materials for the Hugging Face Diffusion Models Course

[]

2023-12-18

[('huggingface/notebooks', 0.5564571619033813, 'ml', 0), ('huggingface/deep-rl-class', 0.551882803440094, 'study', 0)]

20

5

null

0.62

10

7

15

1

0

10

9

90

0.9

50

1,362

util

https://github.com/pyo3/maturin

['rust']

null

[]

null

pyo3/maturin

maturin

2,916

195

24

Rust

https://maturin.rs

Build and publish crates with pyo3, rust-cpython and cffi bindings as well as rust binaries as python packages

pyo3

2024-01-14

2018-07-21

288

10.109955

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

Build and publish crates with pyo3, rust-cpython and cffi bindings as well as rust binaries as python packages

['cffi', 'cpython', 'cross-compile', 'manylinux', 'packaging', 'pyo3', 'pypy', 'rust-cpython', 'uniffi', 'wheels']

['cffi', 'cpython', 'cross-compile', 'manylinux', 'packaging', 'pyo3', 'pypy', 'rust', 'rust-cpython', 'uniffi', 'wheels']

2024-01-10

[('pyo3/rust-numpy', 0.654156506061554, 'util', 1), ('pyo3/pyo3', 0.6540318131446838, 'util', 1), ('scikit-build/scikit-build', 0.6356386542320251, 'ml', 3), ('rustpython/rustpython', 0.6316028237342834, 'util', 1), ('pypa/installer', 0.6027328372001648, 'util', 0), ('pypy/pypy', 0.5836184024810791, 'util', 1), ('ofek/pyapp', 0.5643833875656128, 'util', 2), ('astral-sh/ruff', 0.556878387928009, 'util', 1), ('aswinnnn/pyscan', 0.552875280380249, 'security', 1), ('libtcod/python-tcod', 0.5518137812614441, 'gamedev', 1), ('eventual-inc/daft', 0.5351252555847168, 'pandas', 1), ('pyodide/micropip', 0.5349652171134949, 'util', 0), ('python/cpython', 0.5341805219650269, 'util', 1), ('delta-io/delta-rs', 0.532139241695404, 'pandas', 1), ('pdm-project/pdm', 0.5319200754165649, 'util', 1), ('pypa/hatch', 0.5255593061447144, 'util', 1), ('cython/cython', 0.5176377892494202, 'util', 1), ('pypa/virtualenv', 0.5136356353759766, 'util', 1), ('pytoolz/toolz', 0.5072370171546936, 'util', 0), ('pyodide/pyodide', 0.504960834980011, 'util', 1), ('pyo3/setuptools-rust', 0.5044507384300232, 'util', 1), ('ipython/ipython', 0.5035890936851501, 'util', 0)]

102

1

null

7.62

121

103

67

0

29

52

29

121

171

90

1.4

50

1,294

llm

https://github.com/microsoft/torchscale

[]

null

[]

null

microsoft/torchscale

torchscale

2,793

185

44

Python

https://aka.ms/GeneralAI

Foundation Architecture for (M)LLMs

microsoft

2024-01-14

2022-11-17

62

44.535308

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

Foundation Architecture for (M)LLMs

['computer-vision', 'machine-learning', 'multimodal', 'natural-language-processing', 'pretrained-language-model', 'speech-processing', 'transformer', 'translation']

2023-12-27

[('ludwig-ai/ludwig', 0.6496773958206177, 'ml-ops', 3), ('eugeneyan/open-llms', 0.633047878742218, 'study', 0), ('alpha-vllm/llama2-accessory', 0.602177619934082, 'llm', 0), ('bentoml/openllm', 0.5949733853340149, 'ml-ops', 0), ('iryna-kondr/scikit-llm', 0.5895041823387146, 'llm', 1), ('microsoft/lmops', 0.5832264423370361, 'llm', 0), ('vllm-project/vllm', 0.582655668258667, 'llm', 1), ('pathwaycom/llm-app', 0.5825396180152893, 'llm', 1), ('next-gpt/next-gpt', 0.582415759563446, 'llm', 1), ('salesforce/xgen', 0.5822688937187195, 'llm', 0), ('confident-ai/deepeval', 0.581218957901001, 'testing', 0), ('microsoft/jarvis', 0.5797202587127686, 'llm', 0), ('microsoft/semantic-kernel', 0.573233425617218, 'llm', 0), ('mooler0410/llmspracticalguide', 0.5727461576461792, 'study', 1), ('intel/intel-extension-for-transformers', 0.570101261138916, 'perf', 0), ('ray-project/ray-llm', 0.5647855997085571, 'llm', 0), ('tigerlab-ai/tiger', 0.5640652179718018, 'llm', 0), ('explosion/spacy-llm', 0.5628166198730469, 'llm', 2), ('hiyouga/llama-factory', 0.5607731938362122, 'llm', 0), ('hiyouga/llama-efficient-tuning', 0.5607730746269226, 'llm', 0), ('h2oai/h2o-llmstudio', 0.5583703517913818, 'llm', 0), ('optimalscale/lmflow', 0.5554569959640503, 'llm', 1), ('young-geng/easylm', 0.5538792610168457, 'llm', 2), ('bobazooba/xllm', 0.5502038598060608, 'llm', 0), ('deepset-ai/haystack', 0.546305775642395, 'llm', 1), ('microsoft/promptflow', 0.542982816696167, 'llm', 0), ('nebuly-ai/nebullvm', 0.5394699573516846, 'perf', 0), ('hwchase17/langchain', 0.5352845788002014, 'llm', 0), ('nat/openplayground', 0.5345559120178223, 'llm', 0), ('mlc-ai/mlc-llm', 0.532260000705719, 'llm', 0), ('bigscience-workshop/petals', 0.5316954255104065, 'data', 2), ('nvidia/tensorrt-llm', 0.5302456617355347, 'viz', 0), ('agenta-ai/agenta', 0.5262821912765503, 'llm', 0), ('argilla-io/argilla', 0.5222489237785339, 'nlp', 2), ('artidoro/qlora', 0.5133755207061768, 'llm', 0), ('juncongmoo/pyllama', 0.5133620500564575, 'llm', 0), ('tsinghuadatabasegroup/db-gpt', 0.5131277441978455, 'llm', 0), ('dylanhogg/llmgraph', 0.5129197835922241, 'ml', 0), ('lancedb/lancedb', 0.5128360390663147, 'data', 0), ('tensorflow/tensorflow', 0.5050406455993652, 'ml-dl', 1), ('llmware-ai/llmware', 0.5042523741722107, 'llm', 1)]

16

3

null

1.04

32

19

14

1

0

32

38

90

1.2

50

544

ml

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

[]

null

[]

null

lightly-ai/lightly

lightly

2,654

233

26

Python

https://docs.lightly.ai/self-supervised-learning/

A python library for self-supervised learning on images.

lightly-ai

2024-01-12

2020-10-13

172

15.430233

https://avatars.githubusercontent.com/u/50146475?v=4

A python library for self-supervised learning on images.

['computer-vision', 'contrastive-learning', 'deep-learning', 'embeddings', 'machine-learning', 'pytorch', 'self-supervised-learning']

2024-01-11

[('mdbloice/augmentor', 0.7019970417022705, 'ml', 2), ('pytorch/ignite', 0.6327634453773499, 'ml-dl', 3), ('deci-ai/super-gradients', 0.610939621925354, 'ml-dl', 3), ('facebookresearch/vissl', 0.6104288101196289, 'ml', 0), ('rasbt/mlxtend', 0.6017403602600098, 'ml', 1), ('featurelabs/featuretools', 0.5864541530609131, 'ml', 1), ('facebookresearch/dinov2', 0.5861289501190186, 'diffusion', 0), ('kevinmusgrave/pytorch-metric-learning', 0.581474244594574, 'ml', 7), ('imageio/imageio', 0.5790013670921326, 'util', 0), ('skorch-dev/skorch', 0.5767190456390381, 'ml-dl', 2), ('intel/intel-extension-for-pytorch', 0.5627269148826599, 'perf', 3), ('google-research/deeplab2', 0.5617728233337402, 'ml', 0), ('weecology/deepforest', 0.5572022199630737, 'gis', 0), ('mrdbourke/pytorch-deep-learning', 0.5538014769554138, 'study', 3), ('pycaret/pycaret', 0.5519795417785645, 'ml', 1), ('ageron/handson-ml2', 0.5470166802406311, 'ml', 0), ('salesforce/blip', 0.5466323494911194, 'diffusion', 0), ('pytorch/rl', 0.5465163588523865, 'ml-rl', 2), ('xl0/lovely-tensors', 0.5458189845085144, 'ml-dl', 2), ('hysts/pytorch_image_classification', 0.5435891151428223, 'ml-dl', 2), ('python-pillow/pillow', 0.5426392555236816, 'util', 0), ('albumentations-team/albumentations', 0.5409029126167297, 'ml-dl', 2), ('kornia/kornia', 0.5407032370567322, 'ml-dl', 4), ('nvlabs/gcvit', 0.5394826531410217, 'diffusion', 1), ('pytorch/pytorch', 0.5388930439949036, 'ml-dl', 2), ('lucidrains/imagen-pytorch', 0.5377395153045654, 'ml-dl', 1), ('rasbt/machine-learning-book', 0.5357835292816162, 'study', 3), ('tensorflow/tensorflow', 0.5355916023254395, 'ml-dl', 2), ('cvxgrp/pymde', 0.5311744809150696, 'ml', 2), ('facebookresearch/pytorch3d', 0.5310624241828918, 'ml-dl', 0), ('ggerganov/ggml', 0.5310502052307129, 'ml', 1), ('merantix-momentum/squirrel-core', 0.5261020660400391, 'ml', 4), ('roboflow/supervision', 0.5256815552711487, 'ml', 4), ('oml-team/open-metric-learning', 0.5244993567466736, 'ml', 4), ('allenai/allennlp', 0.5244608521461487, 'nlp', 2), ('scikit-image/scikit-image', 0.5242587924003601, 'util', 1), ('karpathy/micrograd', 0.5221474766731262, 'study', 0), ('lutzroeder/netron', 0.5200084447860718, 'ml', 3), ('luispedro/mahotas', 0.5195291638374329, 'viz', 1), ('uber/petastorm', 0.5194175243377686, 'data', 3), ('tensorlayer/tensorlayer', 0.5181266665458679, 'ml-rl', 1), ('azavea/raster-vision', 0.5178630352020264, 'gis', 4), ('scikit-learn/scikit-learn', 0.5172454714775085, 'ml', 1), ('gradio-app/gradio', 0.5170907378196716, 'viz', 2), ('microsoft/semi-supervised-learning', 0.5161562561988831, 'ml', 4), ('pyg-team/pytorch_geometric', 0.5151110887527466, 'ml-dl', 2), ('huggingface/datasets', 0.5144714713096619, 'nlp', 4), ('xl0/lovely-numpy', 0.5120965242385864, 'util', 1), ('earthlab/earthpy', 0.5085079669952393, 'gis', 0), ('jeshraghian/snntorch', 0.5078932046890259, 'ml-dl', 2), ('aleju/imgaug', 0.5071452260017395, 'ml', 2), ('huggingface/huggingface_hub', 0.5056184530258179, 'ml', 3), ('ddbourgin/numpy-ml', 0.5032593607902527, 'ml', 1), ('aws/sagemaker-python-sdk', 0.5022170543670654, 'ml', 2), ('keras-team/autokeras', 0.5014397501945496, 'ml-dl', 2), ('tensorflow/data-validation', 0.5010249018669128, 'ml-ops', 0)]

35

1

null

4.71

72

46

40

0

35

34

35

72

116

90

1.6

50

1,577

ml

https://github.com/zjunlp/deepke

['knowledge-graph']

null

[]

null

zjunlp/deepke

DeepKE

2,653

601

44

Python

http://deepke.zjukg.cn/

An Open Toolkit for Knowledge Graph Extraction and Construction published at EMNLP2022 System Demonstrations.

zjunlp

2024-01-14

2018-08-01

286

9.248506

https://avatars.githubusercontent.com/u/41887875?v=4

An Open Toolkit for Knowledge Graph Extraction and Construction published at EMNLP2022 System Demonstrations.

['attribute-extraction', 'bert', 'chinese', 'deep-learning', 'deepke', 'document-level', 'few-shot', 'information-extraction', 'kg', 'knowledge-graph', 'knowprompt', 'lightner', 'low-resource', 'multi-modal', 'named-entity-recognition', 'ner', 'nlp', 'prompt', 'pytorch', 'relation-extraction']

2024-01-10

[('accenture/ampligraph', 0.593433678150177, 'data', 1), ('dylanhogg/llmgraph', 0.5825223922729492, 'ml', 1), ('microsoft/vert-papers', 0.5728095769882202, 'nlp', 3), ('awslabs/dgl-ke', 0.5722960233688354, 'ml', 1), ('babelscape/rebel', 0.5535876154899597, 'nlp', 2), ('alibaba/easynlp', 0.5432515144348145, 'nlp', 4), ('deepgraphlearning/ultra', 0.5096688270568848, 'ml', 1)]

31

1

null

11.06

54

53

66

0

5

3

5

54

190

90

3.5

50

1,755

util

https://github.com/pantsbuild/pex

['executable', 'venv']

null

[]

null

pantsbuild/pex

pex

2,411

247

56

Python

https://pex.readthedocs.io

A tool for generating .pex (Python EXecutable) files, lock files and venvs.

pantsbuild

2024-01-13

2014-07-21

497

4.849713

https://avatars.githubusercontent.com/u/3065172?v=4

A tool for generating .pex (Python EXecutable) files, lock files and venvs.

[]

['executable', 'venv']

2024-01-14

[('pypa/virtualenv', 0.5755523443222046, 'util', 1), ('tox-dev/py-filelock', 0.5669477581977844, 'util', 0), ('pyenv/pyenv', 0.5503339171409607, 'util', 1), ('pypa/pipenv', 0.5425669550895691, 'util', 1), ('pypa/pipx', 0.5113623738288879, 'util', 1)]

119

6

null

2.67

61

50

115

0

37

25

37

61

142

90

2.3

50

1,189

diffusion

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

[]

null

[]

null

stability-ai/stability-sdk

stability-sdk

2,381

336

60

Jupyter Notebook

https://platform.stability.ai/

SDK for interacting with stability.ai APIs (e.g. stable diffusion inference)

stability-ai

2024-01-12

2022-08-22

75

31.686312

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

SDK for interacting with stability.ai APIs (e.g. stable diffusion inference)

['ai-art', 'generative-art', 'latent-diffusion', 'multimodal', 'stable-diffusion']

2023-11-20

[('carson-katri/dream-textures', 0.7153577208518982, 'diffusion', 1), ('bentoml/onediffusion', 0.6665179133415222, 'diffusion', 1), ('automatic1111/stable-diffusion-webui', 0.6460036039352417, 'diffusion', 2), ('comfyanonymous/comfyui', 0.6112304925918579, 'diffusion', 1), ('invoke-ai/invokeai', 0.5937549471855164, 'diffusion', 4), ('nateraw/stable-diffusion-videos', 0.5674799680709839, 'diffusion', 2), ('divamgupta/stable-diffusion-tensorflow', 0.5413241386413574, 'diffusion', 0), ('bentoml/bentoml', 0.5263645052909851, 'ml-ops', 0), ('jina-ai/jina', 0.524762749671936, 'ml', 1), ('thereforegames/unprompted', 0.5244125127792358, 'diffusion', 2), ('kubeflow/fairing', 0.5190809369087219, 'ml-ops', 0), ('google-research/torchsde', 0.5064745545387268, 'math', 0), ('activeloopai/deeplake', 0.5024917125701904, 'ml-ops', 0), ('huggingface/diffusers', 0.5022362470626831, 'diffusion', 1), ('fourthbrain/fastapi-for-machine-learning-live-demo', 0.5016722679138184, 'web', 0)]

16

2

null

0.42

15

6

17

2

11

18

11

15

28

90

1.9

50

195

ml-rl

https://github.com/pettingzoo-team/pettingzoo

[]

null

[]

null

pettingzoo-team/pettingzoo

PettingZoo

2,196

360

20

Python

https://pettingzoo.farama.org

An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities

pettingzoo-team

2024-01-12

2020-01-20

210

10.450034

https://avatars.githubusercontent.com/u/62961550?v=4

An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities

['api', 'gym', 'gymnasium', 'multi-agent-reinforcement-learning', 'multiagent-reinforcement-learning', 'reinforcement-learning']

2024-01-11

[('farama-foundation/gymnasium', 0.947864830493927, 'ml-rl', 3), ('nvidia-omniverse/isaacgymenvs', 0.6462188959121704, 'sim', 1), ('unity-technologies/ml-agents', 0.6170148849487305, 'ml-rl', 1), ('pytorch/rl', 0.6150112748146057, 'ml-rl', 2), ('deepmind/acme', 0.578000545501709, 'ml-rl', 1), ('facebookresearch/habitat-lab', 0.5756711363792419, 'sim', 1), ('google/dopamine', 0.5669017434120178, 'ml-rl', 0), ('inspirai/timechamber', 0.5665203332901001, 'sim', 1), ('thu-ml/tianshou', 0.556010365486145, 'ml-rl', 0), ('nvidia-omniverse/omniisaacgymenvs', 0.5554696917533875, 'sim', 0), ('tensorlayer/tensorlayer', 0.554624080657959, 'ml-rl', 1), ('humancompatibleai/imitation', 0.5525628924369812, 'ml-rl', 1), ('facebookresearch/reagent', 0.5440720915794373, 'ml-rl', 0), ('openai/baselines', 0.5400475859642029, 'ml-rl', 0), ('openai/gym', 0.5399578213691711, 'ml-rl', 1), ('deepmind/pysc2', 0.5372393131256104, 'ml-rl', 1), ('operand/agency', 0.5311383605003357, 'llm', 1), ('shangtongzhang/reinforcement-learning-an-introduction', 0.5307071805000305, 'study', 1), ('salesforce/warp-drive', 0.5245906710624695, 'ml-rl', 2), ('huggingface/deep-rl-class', 0.5236347317695618, 'study', 1), ('ai4finance-foundation/finrl', 0.5186222791671753, 'finance', 1), ('kzl/decision-transformer', 0.5139691829681396, 'ml-rl', 1), ('projectmesa/mesa', 0.5047821998596191, 'sim', 0), ('openai/spinningup', 0.5047026872634888, 'study', 0)]

105

2

null

3.52

44

39

48

0

6

10

6

44

96

90

2.2

50

64

sim

https://github.com/projectmesa/mesa

[]

null

[]

null

projectmesa/mesa

mesa

2,089

802

91

Python

null

Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.

projectmesa

2024-01-14

2014-09-19

488

4.275731

https://avatars.githubusercontent.com/u/8754505?v=4

Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.

['agent-based-modeling', 'agent-based-simulation', 'complex-systems', 'complexity-analysis', 'gis', 'mesa', 'modeling-agents', 'simulation', 'simulation-environment', 'simulation-framework', 'spatial-models']

2024-01-13

[('google-deepmind/concordia', 0.6392713785171509, 'sim', 1), ('zacwellmer/worldmodels', 0.5980151891708374, 'ml-rl', 1), ('ljvmiranda921/seagull', 0.5834044218063354, 'sim', 1), ('operand/agency', 0.5751315355300903, 'llm', 0), ('artemyk/dynpy', 0.5512898564338684, 'sim', 0), ('crowddynamics/crowddynamics', 0.5487060546875, 'sim', 0), ('pytorch/rl', 0.5338829159736633, 'ml-rl', 0), ('humanoidagents/humanoidagents', 0.5313592553138733, 'sim', 1), ('gboeing/pynamical', 0.530546247959137, 'sim', 0), ('pythonarcade/arcade', 0.5278759002685547, 'gamedev', 0), ('unity-technologies/ml-agents', 0.5214616060256958, 'ml-rl', 0), ('alephalpha/golly', 0.5125412344932556, 'sim', 0), ('scikit-mobility/scikit-mobility', 0.5076199769973755, 'gis', 1), ('lordmauve/pgzero', 0.5056121349334717, 'gamedev', 0), ('pettingzoo-team/pettingzoo', 0.5047821998596191, 'ml-rl', 0), ('transformeroptimus/superagi', 0.5027607083320618, 'llm', 0)]

134

2

null

5.35

124

93

113

0

7

3

7

124

671

90

5.4

50

224

sim

https://github.com/google/brax

[]

null

[]

null

google/brax

brax

1,940

219

39

Jupyter Notebook

null

Massively parallel rigidbody physics simulation on accelerator hardware.

google

2024-01-13

2021-06-02

138

13.971193

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

Massively parallel rigidbody physics simulation on accelerator hardware.

['jax', 'physics-simulation', 'reinforcement-learning', 'robotics']

2024-01-03

[('arise-initiative/robosuite', 0.5911247134208679, 'ml-rl', 3), ('deepmind/dm_control', 0.514367938041687, 'ml-rl', 2)]

31

7

null

0.19

36

20

32

0

7

8

7

36

45

90

1.2

50

1,282

viz

https://github.com/marcomusy/vedo

[]

null

[]

null

marcomusy/vedo

vedo

1,847

245

30

Python

https://vedo.embl.es

A python module for scientific analysis of 3D data based on VTK and Numpy

marcomusy

2024-01-12

2017-11-10

324

5.690581

null

A python module for scientific analysis of 3D data based on VTK and Numpy

['3d', '3d-graphics', 'dolfin', 'fenics', 'finite-elements', 'mesh', 'numpy', 'scientific-research', 'scientific-visualization', 'simulations', 'visualization', 'vtk']

2024-01-13

[('enthought/mayavi', 0.742211639881134, 'viz', 2), ('pyvista/pyvista', 0.7296451330184937, 'viz', 6), ('pyqtgraph/pyqtgraph', 0.6459553241729736, 'viz', 3), ('contextlab/hypertools', 0.6358500719070435, 'ml', 1), ('numpy/numpy', 0.6334555745124817, 'math', 1), ('dfki-ric/pytransform3d', 0.6237989664077759, 'math', 1), ('scitools/iris', 0.6136019825935364, 'gis', 0), ('isl-org/open3d', 0.6037029027938843, 'sim', 2), ('matplotlib/matplotlib', 0.577059805393219, 'viz', 0), ('viblo/pymunk', 0.5741404294967651, 'sim', 0), ('maartenbreddels/ipyvolume', 0.5702053308486938, 'jupyter', 1), ('earthlab/earthpy', 0.5666988492012024, 'gis', 0), ('pysal/pysal', 0.560834527015686, 'gis', 0), ('altair-viz/altair', 0.5546357035636902, 'viz', 1), ('scikit-geometry/scikit-geometry', 0.5506011843681335, 'gis', 0), ('holoviz/holoviz', 0.5432279706001282, 'viz', 0), ('residentmario/geoplot', 0.5391072034835815, 'gis', 0), ('roban/cosmolopy', 0.537321925163269, 'sim', 0), ('mwaskom/seaborn', 0.5347036123275757, 'viz', 0), ('pokepetter/ursina', 0.5303018093109131, 'gamedev', 0), ('gboeing/pynamical', 0.5265044569969177, 'sim', 2), ('jakevdp/pythondatasciencehandbook', 0.5232061743736267, 'study', 1), ('cupy/cupy', 0.5182294845581055, 'math', 1), ('holoviz/hvplot', 0.5138098001480103, 'pandas', 0), ('eleutherai/pyfra', 0.5130149126052856, 'ml', 0), ('vispy/vispy', 0.5108841061592102, 'viz', 1), ('man-group/dtale', 0.5097540020942688, 'viz', 1), ('scipy/scipy', 0.5084977746009827, 'math', 0), ('wesm/pydata-book', 0.5054879784584045, 'study', 0), ('rasbt/mlxtend', 0.5048307180404663, 'ml', 0), ('albahnsen/pycircular', 0.5011388063430786, 'math', 0), ('makepath/xarray-spatial', 0.5006656646728516, 'gis', 0)]

34

7

null

10.98

91

74

75

0

5

9

5

91

184

90

2

50

795

util

https://github.com/open-telemetry/opentelemetry-python

[]

null

[]

null

open-telemetry/opentelemetry-python

opentelemetry-python

1,474

549

37

Python

https://opentelemetry.io

OpenTelemetry Python API and SDK

open-telemetry

2024-01-13

2019-05-07

247

5.967611

https://avatars.githubusercontent.com/u/49998002?v=4

OpenTelemetry Python API and SDK

['correlationcontext', 'distributed-tracing', 'logging', 'metrics', 'opentelemetry', 'sdk', 'tracecontext']

2024-01-05

[('open-telemetry/opentelemetry-python-contrib', 0.7430706024169922, 'util', 0), ('openai/openai-python', 0.5268572568893433, 'util', 0), ('cohere-ai/cohere-python', 0.5118368864059448, 'util', 1), ('kubeflow/fairing', 0.5018121004104614, 'ml-ops', 0), ('gaogaotiantian/viztracer', 0.5011972784996033, 'profiling', 1)]

209

8

null

2.73

184

71

57

0

7

12

7

184

250

90

1.4

50

1,392

llm

https://github.com/explosion/spacy-llm

[]

null

[]

null

explosion/spacy-llm

spacy-llm

780

56

14

Python

https://spacy.io/usage/large-language-models

🦙 Integrating LLMs into structured NLP pipelines

explosion

2024-01-13

2023-03-16

45

17.0625

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

🦙 Integrating LLMs into structured NLP pipelines

['anthropic', 'claude', 'cohere', 'dolly', 'falcon', 'gpt-3', 'gpt-4', 'large-language-models', 'llama', 'llm', 'machine-learning', 'named-entity-recognition', 'natural-language-processing', 'nlp', 'openai', 'prompt-engineering', 'spacy', 'text-classification']

2023-12-28

[('paddlepaddle/paddlenlp', 0.691947877407074, 'llm', 3), ('argilla-io/argilla', 0.6727258563041687, 'nlp', 5), ('llmware-ai/llmware', 0.6662053465843201, 'llm', 3), ('mooler0410/llmspracticalguide', 0.6550344228744507, 'study', 3), ('infinitylogesh/mutate', 0.6443644762039185, 'nlp', 0), ('salesforce/xgen', 0.6350138187408447, 'llm', 3), ('lianjiatech/belle', 0.6267397999763489, 'llm', 1), ('bobazooba/xllm', 0.6183709502220154, 'llm', 5), ('nltk/nltk', 0.6157956123352051, 'nlp', 3), ('young-geng/easylm', 0.6080474257469177, 'llm', 3), ('flairnlp/flair', 0.6013752222061157, 'nlp', 4), ('deepset-ai/haystack', 0.5950032472610474, 'llm', 4), ('confident-ai/deepeval', 0.5939695239067078, 'testing', 1), ('norskregnesentral/skweak', 0.5937286615371704, 'nlp', 2), ('cg123/mergekit', 0.5918619632720947, 'llm', 2), ('explosion/spacy-models', 0.5904589295387268, 'nlp', 4), ('dylanhogg/llmgraph', 0.5829962491989136, 'ml', 1), ('pathwaycom/llm-app', 0.5805977582931519, 'llm', 2), ('vllm-project/vllm', 0.5805611610412598, 'llm', 2), ('keras-team/keras-nlp', 0.5786953568458557, 'nlp', 3), ('eleutherai/the-pile', 0.5771530270576477, 'data', 1), ('microsoft/autogen', 0.573653519153595, 'llm', 1), ('explosion/spacy', 0.573280930519104, 'nlp', 6), ('huggingface/text-generation-inference', 0.5718468427658081, 'llm', 2), ('aiwaves-cn/agents', 0.5685261487960815, 'nlp', 1), ('nomic-ai/gpt4all', 0.5681854486465454, 'llm', 0), ('juncongmoo/pyllama', 0.5681570768356323, 'llm', 0), ('neuml/txtai', 0.5675748586654663, 'nlp', 4), ('ray-project/ray-llm', 0.5664099454879761, 'llm', 2), ('rasahq/rasa', 0.5661826729774475, 'llm', 4), ('microsoft/torchscale', 0.5628166198730469, 'llm', 2), ('night-chen/toolqa', 0.5622978806495667, 'llm', 1), ('lexpredict/lexpredict-lexnlp', 0.5600504875183105, 'nlp', 1), ('hwchase17/langchain', 0.5581352710723877, 'llm', 0), ('explosion/spacy-stanza', 0.5577221512794495, 'nlp', 4), ('allenai/allennlp', 0.5512605905532837, 'nlp', 2), ('iryna-kondr/scikit-llm', 0.550988495349884, 'llm', 2), ('databrickslabs/dolly', 0.5508483648300171, 'llm', 1), ('bigscience-workshop/petals', 0.5496975779533386, 'data', 5), ('microsoft/lmops', 0.5478001832962036, 'llm', 2), ('alibaba/easynlp', 0.5462448596954346, 'nlp', 3), ('makcedward/nlpaug', 0.5450884103775024, 'nlp', 3), ('thudm/chatglm2-6b', 0.5399860739707947, 'llm', 2), ('microsoft/unilm', 0.5390931367874146, 'nlp', 2), ('whitead/paper-qa', 0.5373473763465881, 'llm', 1), ('squeezeailab/squeezellm', 0.5361400246620178, 'llm', 4), ('tigerlab-ai/tiger', 0.5356959104537964, 'llm', 2), ('nebuly-ai/nebullvm', 0.5306288003921509, 'perf', 2), ('epfllm/meditron', 0.5306103825569153, 'llm', 0), ('deepset-ai/farm', 0.5298573970794678, 'nlp', 1), ('agenta-ai/agenta', 0.5294641256332397, 'llm', 3), ('iclrandd/blackstone', 0.5293763279914856, 'nlp', 1), ('jonasgeiping/cramming', 0.526769757270813, 'nlp', 1), ('hiyouga/llama-efficient-tuning', 0.5260066986083984, 'llm', 3), ('hiyouga/llama-factory', 0.5260065793991089, 'llm', 3), ('jina-ai/thinkgpt', 0.5256912708282471, 'llm', 0), ('sloria/textblob', 0.5245431065559387, 'nlp', 2), ('explosion/spacy-transformers', 0.524055004119873, 'llm', 5), ('lm-sys/fastchat', 0.5232176780700684, 'llm', 0), ('eugeneyan/open-llms', 0.5212215185165405, 'study', 2), ('zilliztech/gptcache', 0.5211718082427979, 'llm', 4), ('ctlllll/llm-toolmaker', 0.520075261592865, 'llm', 0), ('huggingface/transformers', 0.519777774810791, 'nlp', 3), ('guardrails-ai/guardrails', 0.5183983445167542, 'llm', 3), ('run-llama/rags', 0.5166354775428772, 'llm', 2), ('princeton-nlp/alce', 0.5158350467681885, 'llm', 0), ('hannibal046/awesome-llm', 0.5151101350784302, 'study', 0), ('freedomintelligence/llmzoo', 0.5140294432640076, 'llm', 0), ('ibm/dromedary', 0.5127615928649902, 'llm', 0), ('ibm/transition-amr-parser', 0.5116180777549744, 'nlp', 2), ('next-gpt/next-gpt', 0.5109996199607849, 'llm', 3), ('bigscience-workshop/biomedical', 0.510345458984375, 'data', 0), ('jbesomi/texthero', 0.5079323053359985, 'nlp', 2), ('bentoml/openllm', 0.5071743726730347, 'ml-ops', 3), ('maartengr/bertopic', 0.507010817527771, 'nlp', 2), ('openlmlab/moss', 0.5049393773078918, 'llm', 2), ('microsoft/generative-ai-for-beginners', 0.504305899143219, 'study', 2), ('franck-dernoncourt/neuroner', 0.5040908455848694, 'nlp', 3), ('ludwig-ai/ludwig', 0.5036592483520508, 'ml-ops', 4), ('eth-sri/lmql', 0.502147376537323, 'llm', 1), ('thilinarajapakse/simpletransformers', 0.5020976662635803, 'nlp', 2), ('mlc-ai/web-llm', 0.5018036961555481, 'llm', 1), ('intel/intel-extension-for-transformers', 0.5016040205955505, 'perf', 0), ('qanastek/drbert', 0.5015144348144531, 'llm', 2)]

16

5

null

5.15

68

54

10

1

23

28

23

68

87

90

1.3

50

1,852

util

https://github.com/lastmile-ai/aiconfig

['config', 'llm']

AIConfig saves prompts, models and model parameters as source control friendly configs. This allows you to iterate on prompts and model parameters separately from your application code.

[]

1

null

lastmile-ai/aiconfig

aiconfig

600

35

7

Python

https://aiconfig.lastmileai.dev

aiconfig -- config-driven, source control friendly AI application development

lastmile-ai

2024-01-12

2023-09-01

21

27.81457

https://avatars.githubusercontent.com/u/123273171?v=4

aiconfig -- config-driven, source control friendly AI application development

['ai', 'developer-tools', 'generative-ai', 'llm', 'llm-ops']

['ai', 'config', 'developer-tools', 'generative-ai', 'llm', 'llm-ops']

2024-01-14

[('microsoft/promptflow', 0.7025976181030273, 'llm', 2), ('antonosika/gpt-engineer', 0.6765998005867004, 'llm', 1), ('prefecthq/marvin', 0.6677407622337341, 'nlp', 2), ('bentoml/bentoml', 0.6600256562232971, 'ml-ops', 2), ('microsoft/lmops', 0.6332518458366394, 'llm', 1), ('cheshire-cat-ai/core', 0.6183017492294312, 'llm', 2), ('avaiga/taipy', 0.6097587943077087, 'data', 1), ('sweepai/sweep', 0.6068457365036011, 'llm', 3), ('pythagora-io/gpt-pilot', 0.5966111421585083, 'llm', 2), ('pathwaycom/llm-app', 0.5902220606803894, 'llm', 1), ('mlc-ai/mlc-llm', 0.588663637638092, 'llm', 1), ('microsoft/semantic-kernel', 0.5658584237098694, 'llm', 2), ('mindsdb/mindsdb', 0.5651490092277527, 'data', 2), ('transformeroptimus/superagi', 0.5631660223007202, 'llm', 2), ('ludwig-ai/ludwig', 0.5598220229148865, 'ml-ops', 1), ('operand/agency', 0.5538642406463623, 'llm', 2), ('smol-ai/developer', 0.5501940846443176, 'llm', 1), ('zenml-io/zenml', 0.5441376566886902, 'ml-ops', 2), ('netflix/metaflow', 0.5414328575134277, 'ml-ops', 1), ('alirezadir/machine-learning-interview-enlightener', 0.5404054522514343, 'study', 1), ('microsoft/generative-ai-for-beginners', 0.5391389727592468, 'study', 2), ('h2oai/h2o-llmstudio', 0.5382325053215027, 'llm', 3), ('activeloopai/deeplake', 0.5284830331802368, 'ml-ops', 2), ('tigerlab-ai/tiger', 0.5260499715805054, 'llm', 1), ('allegroai/clearml', 0.5247846841812134, 'ml-ops', 1), ('arize-ai/phoenix', 0.5230908393859863, 'ml-interpretability', 0), ('iterative/dvc', 0.522969663143158, 'ml-ops', 2), ('giskard-ai/giskard', 0.5168980360031128, 'data', 0), ('pytorchlightning/pytorch-lightning', 0.5128691792488098, 'ml-dl', 1), ('embedchain/embedchain', 0.5092721581459045, 'llm', 2), ('lucidrains/toolformer-pytorch', 0.5029549598693848, 'llm', 0), ('polyaxon/polyaxon', 0.5021164417266846, 'ml-ops', 0), ('jina-ai/jina', 0.5008789300918579, 'ml', 1), ('salesforce/codet5', 0.500541627407074, 'nlp', 0)]

15

1

null

5.6

900

762

4

0

5

18

5

900

610

90

0.7

50

1,305

study

https://github.com/christoschristofidis/awesome-deep-learning

['awesome']

null

[]

null

christoschristofidis/awesome-deep-learning

awesome-deep-learning

22,183

5,979

1,213

null

A curated list of awesome Deep Learning tutorials, projects and communities.

christoschristofidis

2024-01-13

2015-01-02

473

46.841931

null

A curated list of awesome Deep Learning tutorials, projects and communities.

['awesome', 'awesome-list', 'deep-learning', 'deep-learning-tutorial', 'deep-networks', 'face-images', 'machine-learning', 'neural-network', 'recurrent-networks']

2022-11-14

[('dylanhogg/awesome-python', 0.6466501355171204, 'study', 4), ('mrdbourke/pytorch-deep-learning', 0.5786244869232178, 'study', 2), ('tensorflow/tensorflow', 0.5731549263000488, 'ml-dl', 3), ('rasbt/deeplearning-models', 0.5625115036964417, 'ml-dl', 0), ('nvidia/deeplearningexamples', 0.55058354139328, 'ml-dl', 1), ('graykode/nlp-tutorial', 0.5480766296386719, 'study', 0), ('lutzroeder/netron', 0.5479288101196289, 'ml', 3), ('dylanhogg/crazy-awesome-crypto', 0.5464283227920532, 'crypto', 2), ('d2l-ai/d2l-en', 0.5462198853492737, 'study', 2), ('huggingface/transformers', 0.5454069972038269, 'nlp', 2), ('explosion/thinc', 0.5450423359870911, 'ml-dl', 2), ('udacity/deep-learning-v2-pytorch', 0.5436199903488159, 'study', 3), ('keras-team/keras', 0.5434898138046265, 'ml-dl', 2), ('deepfakes/faceswap', 0.5433439612388611, 'ml-dl', 2), ('timofurrer/awesome-asyncio', 0.5383524298667908, 'study', 2), ('roboflow/notebooks', 0.5378063917160034, 'study', 2), ('mosaicml/composer', 0.5376695990562439, 'ml-dl', 3), ('nyandwi/modernconvnets', 0.5358662605285645, 'ml-dl', 0), ('pytorch/ignite', 0.5337355136871338, 'ml-dl', 3), ('amanchadha/coursera-deep-learning-specialization', 0.5327649116516113, 'study', 2), ('luodian/otter', 0.5302937030792236, 'llm', 2), ('rasbt/machine-learning-book', 0.5299058556556702, 'study', 2), ('tensorlayer/tensorlayer', 0.5272840857505798, 'ml-rl', 2), ('ml-for-high-risk-apps-book/machine-learning-for-high-risk-applications-book', 0.5266667008399963, 'study', 2), ('ashleve/lightning-hydra-template', 0.52616947889328, 'util', 1), ('paddlepaddle/paddlenlp', 0.5255681872367859, 'llm', 0), ('rwightman/pytorch-image-models', 0.5237160921096802, 'ml-dl', 0), ('neuralmagic/sparseml', 0.5221423506736755, 'ml-dl', 0), ('aiqc/aiqc', 0.5192874670028687, 'ml-ops', 0), ('mrdbourke/tensorflow-deep-learning', 0.5140354037284851, 'study', 1), ('horovod/horovod', 0.5127199292182922, 'ml-ops', 2), ('chandlerbang/awesome-self-supervised-gnn', 0.5087785124778748, 'study', 3), ('iperov/deepfacelab', 0.5062230825424194, 'ml-dl', 2), ('rasbt/stat453-deep-learning-ss20', 0.506165087223053, 'study', 0), ('gradio-app/gradio', 0.5050585269927979, 'viz', 2), ('aistream-peelout/flow-forecast', 0.5039076209068298, 'time-series', 1), ('huggingface/autotrain-advanced', 0.5007786750793457, 'ml', 2), ('deci-ai/super-gradients', 0.5002260804176331, 'ml-dl', 2)]

147

7

null

0

3

1

110

14

0

3

0

90

0

49

241

ml

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

[]

null

[]

null

deepmind/deepmind-research

deepmind-research

12,418

2,508

337

Jupyter Notebook

null

This repository contains implementations and illustrative code to accompany DeepMind publications

deepmind

2024-01-13

2019-01-15

263

47.21673

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

This repository contains implementations and illustrative code to accompany DeepMind publications

[]

2023-06-02

[('rasbt/machine-learning-book', 0.5797885060310364, 'study', 0), ('nvidia/deeplearningexamples', 0.5370939373970032, 'ml-dl', 0), ('deepmind/dm_control', 0.5342397689819336, 'ml-rl', 0), ('microsoft/deepspeed', 0.5327295660972595, 'ml-dl', 0), ('bigcode-project/starcoder', 0.5220165252685547, 'llm', 0), ('google/automl', 0.5214808583259583, 'ml', 0), ('google-research/deeplab2', 0.5203995704650879, 'ml', 0), ('iperov/deepfacelab', 0.5150367021560669, 'ml-dl', 0), ('allenai/allennlp', 0.514882504940033, 'nlp', 0), ('microsoft/semi-supervised-learning', 0.5121714472770691, 'ml', 0), ('lucidrains/imagen-pytorch', 0.5075194835662842, 'ml-dl', 0), ('pytorch/fairseq', 0.5041647553443909, 'nlp', 0), ('graykode/nlp-tutorial', 0.5026014447212219, 'study', 0)]

92

2

null

0.27

34

9

61

8

0

34

17

90

0.5

49

167

sim

https://github.com/bulletphysics/bullet3

[]

null

[]

null

bulletphysics/bullet3

bullet3

11,488

2,812

404

C++

http://bulletphysics.org

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

bulletphysics

2024-01-14

2011-04-12

668

17.197605

https://avatars.githubusercontent.com/u/6955508?v=4

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

['computer-animation', 'game-development', 'kinematics', 'pybullet', 'reinforcement-learning', 'robotics', 'simulation', 'simulator', 'virtual-reality']

2023-11-28

[('viblo/pymunk', 0.5624234080314636, 'sim', 0), ('tensorlayer/tensorlayer', 0.5209137201309204, 'ml-rl', 1), ('arise-initiative/robosuite', 0.5200599431991577, 'ml-rl', 2), ('aimhubio/aim', 0.5082801580429077, 'ml-ops', 0), ('pytorch/rl', 0.505810022354126, 'ml-rl', 2), ('facebookresearch/habitat-lab', 0.5023512840270996, 'sim', 3)]

305

3

null

0.08

47

7

155

2

0

2

47

38

90

0.8

49

649

util

https://github.com/magicstack/uvloop

[]

null

[]

null

magicstack/uvloop

uvloop

9,768

572

226

Cython

null

Ultra fast asyncio event loop.

magicstack

2024-01-13

2015-11-08

429

22.754077

https://avatars.githubusercontent.com/u/14324950?v=4

Ultra fast asyncio event loop.

['async', 'async-await', 'async-python', 'asyncio', 'event-loop', 'high-performance', 'libuv', 'networking']

2023-10-22

[('agronholm/anyio', 0.7205407619476318, 'perf', 2), ('tiangolo/asyncer', 0.6868960857391357, 'perf', 2), ('aio-libs/aiohttp', 0.6718955636024475, 'web', 2), ('python-trio/trio', 0.6619237065315247, 'perf', 3), ('erdewit/nest_asyncio', 0.6544142365455627, 'util', 2), ('alex-sherman/unsync', 0.6438055634498596, 'util', 0), ('samuelcolvin/arq', 0.6330302953720093, 'data', 2), ('timofurrer/awesome-asyncio', 0.6274605989456177, 'study', 1), ('miguelgrinberg/python-socketio', 0.6088827252388, 'util', 1), ('sumerc/yappi', 0.6066219806671143, 'profiling', 1), ('airtai/faststream', 0.6053869128227234, 'perf', 1), ('pallets/quart', 0.5947157740592957, 'web', 1), ('alirn76/panther', 0.5940344929695129, 'web', 0), ('neoteroi/blacksheep', 0.5796182155609131, 'web', 1), ('noxdafox/pebble', 0.5719602108001709, 'perf', 1), ('pytest-dev/pytest-asyncio', 0.552464485168457, 'testing', 1), ('geeogi/async-python-lambda-template', 0.5491867065429688, 'template', 0), ('samuelcolvin/aioaws', 0.5443870425224304, 'data', 1), ('encode/httpx', 0.5275475978851318, 'web', 1), ('gbeced/basana', 0.5239098072052002, 'finance', 1), ('samuelcolvin/watchfiles', 0.5178032517433167, 'util', 1), ('fastai/fastcore', 0.5093868970870972, 'util', 0), ('tiangolo/fastapi', 0.5084176659584045, 'web', 2), ('huge-success/sanic', 0.5082210898399353, 'web', 1), ('encode/starlette', 0.5062094926834106, 'web', 1), ('klen/py-frameworks-bench', 0.5054547190666199, 'perf', 0)]

60

3

null

0.21

24

11

100

3

2

10

2

24

25

90

1

49

1,194

llm

https://github.com/thudm/glm-130b

[]

null

[]

null

thudm/glm-130b

GLM-130B

7,447

602

96

Python

null

GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)

thudm

2024-01-13

2022-08-03

77

95.649541

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

GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)

[]

2023-07-25

[('openai/finetune-transformer-lm', 0.590366780757904, 'llm', 0), ('thudm/chatglm-6b', 0.5821515321731567, 'llm', 0), ('microsoft/unilm', 0.5527222156524658, 'nlp', 0), ('cg123/mergekit', 0.542129635810852, 'llm', 0), ('yizhongw/self-instruct', 0.5371110439300537, 'llm', 0), ('salesforce/blip', 0.5314812064170837, 'diffusion', 0), ('qanastek/drbert', 0.5260924696922302, 'llm', 0), ('thudm/chatglm2-6b', 0.5260385274887085, 'llm', 0), ('ofa-sys/ofa', 0.5175337195396423, 'llm', 0), ('freedomintelligence/llmzoo', 0.5044916272163391, 'llm', 0), ('thudm/codegeex', 0.5032495856285095, 'llm', 0), ('lm-sys/fastchat', 0.5007140636444092, 'llm', 0)]

6

2

null

0.33

8

1

18

6

0

8

4

90

0.5

49

1,275

nlp

https://github.com/deeppavlov/deeppavlov

[]

null

[]

null

deeppavlov/deeppavlov

DeepPavlov

6,439

1,135

209

Python

https://deeppavlov.ai

An open source library for deep learning end-to-end dialog systems and chatbots.

deeppavlov

2024-01-13

2017-11-17

323

19.899779

https://avatars.githubusercontent.com/u/29918795?v=4

An open source library for deep learning end-to-end dialog systems and chatbots.

['ai', 'artificial-intelligence', 'bot', 'chatbot', 'chitchat', 'deep-learning', 'deep-neural-networks', 'dialogue-agents', 'dialogue-manager', 'dialogue-systems', 'entity-extraction', 'intent-classification', 'intent-detection', 'machine-learning', 'named-entity-recognition', 'nlp', 'nlp-machine-learning', 'question-answering', 'slot-filling', 'tensorflow']

2023-12-27

[('rasahq/rasa', 0.7903884053230286, 'llm', 4), ('nvidia/nemo', 0.7471092939376831, 'nlp', 3), ('openlmlab/moss', 0.6669769287109375, 'llm', 2), ('krohling/bondai', 0.6658996939659119, 'llm', 0), ('togethercomputer/openchatkit', 0.6648150086402893, 'nlp', 1), ('rcgai/simplyretrieve', 0.6620361804962158, 'llm', 3), ('embedchain/embedchain', 0.6491185426712036, 'llm', 1), ('nomic-ai/gpt4all', 0.6342305541038513, 'llm', 1), ('gunthercox/chatterbot', 0.6284914016723633, 'nlp', 3), ('facebookresearch/parlai', 0.6255822777748108, 'nlp', 0), ('gunthercox/chatterbot-corpus', 0.6254500150680542, 'nlp', 0), ('allenai/allennlp', 0.6174921989440918, 'nlp', 2), ('tensorlayer/tensorlayer', 0.6134109497070312, 'ml-rl', 4), ('lm-sys/fastchat', 0.606029212474823, 'llm', 1), ('databrickslabs/dolly', 0.5981650352478027, 'llm', 1), ('cheshire-cat-ai/core', 0.5946456789970398, 'llm', 2), ('explosion/thinc', 0.5923045873641968, 'ml-dl', 6), ('thilinarajapakse/simpletransformers', 0.5851011276245117, 'nlp', 2), ('nvidia/deeplearningexamples', 0.5808957815170288, 'ml-dl', 3), ('larsbaunwall/bricky', 0.5805360078811646, 'llm', 1), ('paddlepaddle/paddlenlp', 0.5695449113845825, 'llm', 2), ('deepset-ai/haystack', 0.5695079565048218, 'llm', 4), ('franck-dernoncourt/neuroner', 0.5672761797904968, 'nlp', 5), ('prefecthq/marvin', 0.5636438131332397, 'nlp', 1), ('laion-ai/open-assistant', 0.563031792640686, 'llm', 2), ('minimaxir/simpleaichat', 0.559428870677948, 'llm', 1), ('espnet/espnet', 0.5584684610366821, 'nlp', 1), ('tensorflow/tensorflow', 0.5553365349769592, 'ml-dl', 4), ('dialogflow/dialogflow-python-client-v2', 0.5524868369102478, 'nlp', 1), ('huggingface/transformers', 0.5488126873970032, 'nlp', 4), ('blinkdl/chatrwkv', 0.5481441617012024, 'llm', 1), ('llmware-ai/llmware', 0.5467641353607178, 'llm', 4), ('fasteval/fasteval', 0.5457442402839661, 'llm', 0), ('keras-team/keras-nlp', 0.5425511002540588, 'nlp', 4), ('lucidrains/toolformer-pytorch', 0.5414809584617615, 'llm', 2), ('google-research/language', 0.5389516949653625, 'nlp', 1), ('run-llama/rags', 0.5382777452468872, 'llm', 1), ('graykode/nlp-tutorial', 0.529963493347168, 'study', 2), ('tensorflow/tensor2tensor', 0.5281538963317871, 'ml', 2), ('aiwaves-cn/agents', 0.5271100997924805, 'nlp', 0), ('alibaba/easynlp', 0.52702796459198, 'nlp', 3), ('facebookresearch/habitat-lab', 0.5260887145996094, 'sim', 2), ('langchain-ai/chat-langchain', 0.5239380598068237, 'llm', 1), ('argilla-io/argilla', 0.5165128111839294, 'nlp', 3), ('chatarena/chatarena', 0.5164510011672974, 'llm', 2), ('unity-technologies/ml-agents', 0.5153900980949402, 'ml-rl', 2), ('microsoft/autogen', 0.5114785432815552, 'llm', 1), ('uberi/speech_recognition', 0.509485125541687, 'ml', 0), ('pathwaycom/llm-app', 0.5093848705291748, 'llm', 2), ('neuml/txtai', 0.5076900720596313, 'nlp', 2), ('microsoft/generative-ai-for-beginners', 0.5074864625930786, 'study', 1), ('lupantech/chameleon-llm', 0.5067449808120728, 'llm', 1), ('jina-ai/clip-as-service', 0.5053911805152893, 'nlp', 1), ('explosion/spacy', 0.5052632689476013, 'nlp', 6), ('speechbrain/speechbrain', 0.5031290054321289, 'nlp', 1), ('mlc-ai/web-llm', 0.5006988644599915, 'llm', 1)]

76

3

null

0.62

37

14

75

1

6

10

6

37

9

90

0.2

49

1,822

nlp

https://github.com/facebookresearch/metaseq

['fairseq']

A codebase for working with Open Pre-trained Transformers, originally forked from fairseq.

[]

null

facebookresearch/metaseq

metaseq

6,297

711

110

Python

null

Repo for external large-scale work

facebookresearch

2024-01-13

2022-05-02

91

69.089342

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

Repo for external large-scale work

[]

['fairseq']

2023-06-08

[]

54

3

null

0.9

2

0

21

7

0

2

1

90

0.5

49

282

util

https://github.com/sdispater/pendulum

[]

null

[]

null

sdispater/pendulum

pendulum

5,900

398

69

Python

https://pendulum.eustace.io

Python datetimes made easy

sdispater

2024-01-14

2016-06-27

396

14.893617

null

Python datetimes made easy

['date', 'datetime', 'time', 'timezones']

2023-12-16

[('dateutil/dateutil', 0.7966391444206238, 'util', 3), ('arrow-py/arrow', 0.7535154819488525, 'util', 4), ('scrapinghub/dateparser', 0.6702179908752441, 'util', 2), ('stub42/pytz', 0.646413266658783, 'util', 0), ('spulec/freezegun', 0.54648357629776, 'testing', 0), ('rjt1990/pyflux', 0.5265621542930603, 'time-series', 0)]

96

3

null

0.9

67

45

92

1

2

7

2

67

82

90

1.2

49

1,015

util

https://github.com/wireservice/csvkit

[]

null

[]

null

wireservice/csvkit

csvkit

5,701

601

130

Python

https://csvkit.readthedocs.io

A suite of utilities for converting to and working with CSV, the king of tabular file formats.

wireservice

2024-01-13

2011-04-01

669

8.514402

https://avatars.githubusercontent.com/u/17111824?v=4

A suite of utilities for converting to and working with CSV, the king of tabular file formats.

[]

2023-12-21

[('jazzband/prettytable', 0.5902390480041504, 'term', 0), ('jazzband/tablib', 0.5830636620521545, 'data', 0), ('saulpw/visidata', 0.5774484276771545, 'term', 0), ('camelot-dev/camelot', 0.567770779132843, 'util', 0), ('crunch-io/lazycsv', 0.561709463596344, 'perf', 0), ('astanin/python-tabulate', 0.5541922450065613, 'util', 0), ('dask/fastparquet', 0.5032108426094055, 'data', 0)]

107

9

null

1.9

102

69

156

1

0

2

102

80

90

0.8

49

542

ml-dl

https://github.com/facebookresearch/mmf

[]

null

[]

null

facebookresearch/mmf

mmf

5,352

928

117

Python

https://mmf.sh/

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

facebookresearch

2024-01-13

2018-06-27

291

18.337739

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

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

['captioning', 'deep-learning', 'dialog', 'hateful-memes', 'multi-tasking', 'multimodal', 'pretrained-models', 'pytorch', 'textvqa', 'vqa']

2024-01-03

[('pytorch/fairseq', 0.6375062465667725, 'nlp', 1), ('microsoft/i-code', 0.5485939383506775, 'ml', 0), ('rasahq/rasa', 0.5447145104408264, 'llm', 0), ('nvlabs/prismer', 0.5333836674690247, 'diffusion', 1), ('nvidia/nemo', 0.5225995779037476, 'nlp', 1), ('jina-ai/clip-as-service', 0.52168208360672, 'nlp', 2), ('fourthbrain/fastapi-for-machine-learning-live-demo', 0.5202192068099976, 'web', 0), ('docarray/docarray', 0.516020655632019, 'data', 3), ('nateraw/stable-diffusion-videos', 0.5128837823867798, 'diffusion', 0), ('luodian/otter', 0.5072057843208313, 'llm', 1), ('ofa-sys/ofa', 0.5046265721321106, 'llm', 2), ('salesforce/blip', 0.5001189112663269, 'diffusion', 0)]

116

5

null

0.38

7

4

68

0

1

7

6

90

0.9

49

1,887

util

https://github.com/rsalmei/alive-progress

['progress-bar', 'cli']

null

[]

1

null

rsalmei/alive-progress

alive-progress

4,854

191

49

Python

null

A new kind of Progress Bar, with real-time throughput, ETA, and very cool animations!

rsalmei

2024-01-14

2019-08-05

234

20.730933

null

A new kind of Progress Bar, with real-time throughput, ETA, and very cool animations!

['alive', 'animated', 'animations', 'bar', 'cli', 'eta', 'feedback', 'monitoring', 'multi-threaded', 'progress', 'progress-bar', 'progressbar', 'repl', 'spinner', 'spinner-styles', 'spinners', 'terminal', 'throughput', 'visual']

2023-12-02

[('tqdm/tqdm', 0.6888198256492615, 'term', 5), ('wolph/python-progressbar', 0.6114795207977295, 'util', 7), ('rockhopper-technologies/enlighten', 0.5524495244026184, 'term', 0)]

7

3

null

0.83

9

5

54

1

0

1

9

31

90

3.4

49

27

typing

https://github.com/google/pytype

['code-quality']

null

[]

null

google/pytype

pytype

4,452

279

57

Python

https://google.github.io/pytype

A static type analyzer for Python code

google

2024-01-13

2015-03-18

462

9.618519

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

A static type analyzer for Python code

['linter', 'static-analysis', 'static-code-analysis', 'typechecker', 'types', 'typing']

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

2024-01-11

[('microsoft/pyright', 0.8127192258834839, 'typing', 2), ('instagram/monkeytype', 0.8035555481910706, 'typing', 1), ('facebook/pyre-check', 0.7848848104476929, 'typing', 3), ('python/mypy', 0.7456424236297607, 'typing', 5), ('agronholm/typeguard', 0.7289842367172241, 'typing', 2), ('python/typeshed', 0.7091848254203796, 'typing', 3), ('astral-sh/ruff', 0.6849864721298218, 'util', 4), ('crytic/slither', 0.6767980456352234, 'crypto', 1), ('rubik/radon', 0.6680740714073181, 'util', 1), ('landscapeio/prospector', 0.6452606916427612, 'util', 0), ('grantjenks/blue', 0.6101509928703308, 'util', 1), ('psf/black', 0.5877479314804077, 'util', 1), ('pytoolz/toolz', 0.5861064195632935, 'util', 0), ('pycqa/mccabe', 0.5844917893409729, 'util', 0), ('nedbat/coveragepy', 0.5753951072692871, 'testing', 0), ('klen/pylama', 0.5735052824020386, 'util', 1), ('pyutils/line_profiler', 0.5699858069419861, 'profiling', 0), ('pycqa/pylint', 0.5689358115196228, 'util', 4), ('google/yapf', 0.5599178075790405, 'util', 1), ('pycqa/flake8', 0.5498300194740295, 'util', 4), ('xrudelis/pytrait', 0.5462278127670288, 'util', 0), ('tiangolo/typer', 0.5461122393608093, 'term', 0), ('eugeneyan/python-collab-template', 0.5415253043174744, 'template', 0), ('pycqa/pylint-django', 0.5338144898414612, 'util', 1), ('pympler/pympler', 0.524192750453949, 'perf', 0), ('patrick-kidger/torchtyping', 0.5230032205581665, 'typing', 1), ('benfred/py-spy', 0.5136662721633911, 'profiling', 0), ('gaogaotiantian/viztracer', 0.5134180784225464, 'profiling', 0), ('python-rope/rope', 0.5130378603935242, 'util', 0), ('mynameisfiber/high_performance_python_2e', 0.5118113160133362, 'study', 0), ('pycqa/isort', 0.5101639032363892, 'util', 2), ('pycqa/pyflakes', 0.5093093514442444, 'util', 1), ('pandas-dev/pandas', 0.5089789628982544, 'pandas', 0), ('pythonspeed/filprofiler', 0.5083953738212585, 'profiling', 0), ('marshmallow-code/marshmallow', 0.5046632289886475, 'util', 0), ('alexmojaki/birdseye', 0.5039346218109131, 'debug', 0), ('ta-lib/ta-lib-python', 0.5031558275222778, 'finance', 0), ('aswinnnn/pyscan', 0.5005221366882324, 'security', 1)]

100

2

null

10.46

57

44

107

0

22

57

27

90

0.5

49

209

web

https://github.com/pywebio/pywebio

[]

null

[]

null

pywebio/pywebio

PyWebIO

4,234

363

54

Python

https://pywebio.readthedocs.io

Write interactive web app in script way.

pywebio

2024-01-13

2020-02-29

204

20.711391

https://avatars.githubusercontent.com/u/83836839?v=4

Write interactive web app in script way.

['pywebio']

2023-12-12

[('webpy/webpy', 0.5835192799568176, 'web', 0), ('pyscript/pyscript', 0.5674092173576355, 'web', 0), ('reflex-dev/reflex', 0.5351123213768005, 'web', 0), ('masoniteframework/masonite', 0.5325572490692139, 'web', 0), ('pallets/flask', 0.5090134143829346, 'web', 0)]

19

3

null

0.75

12

7

47

1

0

8

12

14

90

1.2

49

938

llm

https://github.com/microsoft/biogpt

[]

null

[]

null

microsoft/biogpt

BioGPT

4,169

436

68

Python

null

microsoft

2024-01-12

2022-08-15

76

54.752345

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

microsoft/BioGPT

[]

2023-11-13

[]

9

4

null

0.42

10

2

17

2

0

10

8

90

0.8

49

1,598

nlp

https://github.com/thilinarajapakse/simpletransformers

[]

null

[]

null

thilinarajapakse/simpletransformers

simpletransformers

3,901

723

62

Python

https://simpletransformers.ai/

Transformers for Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

thilinarajapakse

2024-01-14

2019-10-04

225

17.293857

null

Transformers for Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

['conversational-ai', 'named-entity-recognition', 'question-answering', 'text-classification', 'transformers']

2023-12-18

[('huggingface/transformers', 0.713013768196106, 'nlp', 0), ('cdpierse/transformers-interpret', 0.6818839311599731, 'ml-interpretability', 1), ('nvidia/nemo', 0.6740487813949585, 'nlp', 0), ('keras-team/keras-nlp', 0.6119193434715271, 'nlp', 0), ('llmware-ai/llmware', 0.6119190454483032, 'llm', 2), ('microsoft/generative-ai-for-beginners', 0.6100896596908569, 'study', 1), ('lucidrains/toolformer-pytorch', 0.6100559234619141, 'llm', 1), ('deepset-ai/haystack', 0.5894189476966858, 'llm', 2), ('prefecthq/marvin', 0.5893362760543823, 'nlp', 0), ('deeppavlov/deeppavlov', 0.5851011276245117, 'nlp', 2), ('paddlepaddle/paddlenlp', 0.5818993449211121, 'llm', 2), ('explosion/thinc', 0.5814999938011169, 'ml-dl', 0), ('docarray/docarray', 0.5803972482681274, 'data', 0), ('rasahq/rasa', 0.5802013874053955, 'llm', 1), ('bentoml/bentoml', 0.5780894160270691, 'ml-ops', 0), ('intellabs/fastrag', 0.5657897591590881, 'nlp', 2), ('explosion/spacy', 0.5573221445083618, 'nlp', 2), ('cheshire-cat-ai/core', 0.5490924715995789, 'llm', 0), ('lvwerra/trl', 0.5451595783233643, 'llm', 0), ('lm-sys/fastchat', 0.5447478890419006, 'llm', 0), ('sloria/textblob', 0.5410082936286926, 'nlp', 0), ('nvlabs/prismer', 0.5408389568328857, 'diffusion', 0), ('krohling/bondai', 0.534867525100708, 'llm', 0), ('makcedward/nlpaug', 0.5320999026298523, 'nlp', 0), ('ddbourgin/numpy-ml', 0.5308157801628113, 'ml', 0), ('graykode/nlp-tutorial', 0.5299626588821411, 'study', 0), ('deepset-ai/farm', 0.5268033742904663, 'nlp', 1), ('microsoft/lmops', 0.5261474251747131, 'llm', 0), ('explosion/spacy-transformers', 0.5258124470710754, 'llm', 0), ('nltk/nltk', 0.5254354476928711, 'nlp', 0), ('explosion/spacy-models', 0.5240768790245056, 'nlp', 0), ('milvus-io/bootcamp', 0.5199248790740967, 'data', 1), ('google/trax', 0.5190243721008301, 'ml-dl', 0), ('embedchain/embedchain', 0.518301248550415, 'llm', 0), ('rcgai/simplyretrieve', 0.5177233815193176, 'llm', 0), ('huggingface/autotrain-advanced', 0.517383873462677, 'ml', 0), ('extreme-bert/extreme-bert', 0.5170273184776306, 'llm', 0), ('mindsdb/mindsdb', 0.515864372253418, 'data', 0), ('alibaba/easynlp', 0.5156533122062683, 'nlp', 2), ('alirezadir/machine-learning-interview-enlightener', 0.5155435800552368, 'study', 0), ('amanchadha/coursera-deep-learning-specialization', 0.5146978497505188, 'study', 0), ('eleutherai/knowledge-neurons', 0.5122392177581787, 'ml-interpretability', 1), ('bigscience-workshop/megatron-deepspeed', 0.5100935697555542, 'llm', 0), ('microsoft/megatron-deepspeed', 0.5100935697555542, 'llm', 0), ('alignmentresearch/tuned-lens', 0.5096346735954285, 'ml-interpretability', 1), ('eugeneyan/obsidian-copilot', 0.5094960927963257, 'llm', 0), ('databrickslabs/dolly', 0.507858157157898, 'llm', 0), ('ofa-sys/ofa', 0.5072410702705383, 'llm', 0), ('franck-dernoncourt/neuroner', 0.5060073733329773, 'nlp', 1), ('jina-ai/finetuner', 0.5025129914283752, 'ml', 0), ('explosion/spacy-llm', 0.5020976662635803, 'llm', 2), ('modularml/mojo', 0.5019367933273315, 'util', 0), ('noahshinn/reflexion', 0.5012626051902771, 'llm', 0), ('espnet/espnet', 0.5008228421211243, 'nlp', 0), ('promptslab/awesome-prompt-engineering', 0.5007800459861755, 'study', 0), ('next-gpt/next-gpt', 0.5003290772438049, 'llm', 0)]

100

5

null

0.25

10

3

52

1

0

62

10

7

90

0.7

49

1,386

security

https://github.com/rhinosecuritylabs/pacu

[]

null

[]

null

rhinosecuritylabs/pacu

pacu

3,872

640

111

Python

https://rhinosecuritylabs.com/aws/pacu-open-source-aws-exploitation-framework/

The AWS exploitation framework, designed for testing the security of Amazon Web Services environments.

rhinosecuritylabs

2024-01-13

2018-06-13

293

13.176471

https://avatars.githubusercontent.com/u/11430746?v=4

The AWS exploitation framework, designed for testing the security of Amazon Web Services environments.

['aws', 'aws-security', 'penetration-testing', 'security']

2024-01-09

[('flipkart-incubator/astra', 0.5590912699699402, 'web', 2), ('newsapps/beeswithmachineguns', 0.5492108464241028, 'testing', 0), ('swisskyrepo/payloadsallthethings', 0.5338615775108337, 'security', 2), ('prefecthq/prefect-aws', 0.5137910842895508, 'data', 1), ('aws-samples/sagemaker-ssh-helper', 0.5007947087287903, 'util', 1)]

53

3

null

1.79

30

26

68

0

11

4

11

30

12

90

0.4

49

797

util

https://github.com/miguelgrinberg/python-socketio

[]

null

[]

null

miguelgrinberg/python-socketio

python-socketio

3,638

597

60

Python

null

Python Socket.IO server and client

miguelgrinberg

2024-01-13

2015-07-15

445

8.159564

null

Python Socket.IO server and client

['asyncio', 'eventlet', 'gevent', 'long-polling', 'low-latency', 'socket-io', 'socketio', 'socketio-server', 'web-server', 'websocket']

2024-01-11

[('websocket-client/websocket-client', 0.7025880217552185, 'web', 1), ('aio-libs/aiohttp', 0.6701440215110779, 'web', 1), ('encode/starlette', 0.6212427616119385, 'web', 0), ('magicstack/uvloop', 0.6088827252388, 'util', 1), ('encode/httpx', 0.5959307551383972, 'web', 1), ('bmoscon/cryptofeed', 0.595906138420105, 'crypto', 2), ('encode/uvicorn', 0.5958155989646912, 'web', 1), ('airtai/faststream', 0.5774848461151123, 'perf', 1), ('pallets/quart', 0.5742831826210022, 'web', 1), ('python-trio/trio', 0.5562794208526611, 'perf', 0), ('sumerc/yappi', 0.552412211894989, 'profiling', 2), ('neoteroi/blacksheep', 0.5502622127532959, 'web', 1), ('agronholm/anyio', 0.5345661640167236, 'perf', 1)]

69

4

null

1.38

59

55

104

0

4

11

4

59

97

90

1.6

49

426

util

https://github.com/pycqa/flake8

['code-quality']

null

[]

null

pycqa/flake8

flake8

3,144

303

37

Python

https://flake8.pycqa.org

flake8 is a python tool that glues together pycodestyle, pyflakes, mccabe, and third-party plugins to check the style and quality of some python code.

pycqa

2024-01-14

2014-09-13

489

6.423818

https://avatars.githubusercontent.com/u/8749848?v=4

flake8 is a python tool that glues together pycodestyle, pyflakes, mccabe, and third-party plugins to check the style and quality of some python code.

['complexity-analysis', 'flake8', 'linter', 'linter-flake8', 'pep8', 'static-analysis', 'static-code-analysis', 'style-guide', 'styleguide', 'stylelint']

['code-quality', 'complexity-analysis', 'flake8', 'linter', 'linter-flake8', 'pep8', 'static-analysis', 'static-code-analysis', 'style-guide', 'styleguide', 'stylelint']

2024-01-08

[('pycqa/pycodestyle', 0.6883364915847778, 'util', 4), ('pycqa/mccabe', 0.6619266867637634, 'util', 3), ('grantjenks/blue', 0.6205138564109802, 'util', 1), ('hhatto/autopep8', 0.6079347729682922, 'util', 1), ('psf/black', 0.6002591848373413, 'util', 1), ('astral-sh/ruff', 0.5777422785758972, 'util', 7), ('rubik/radon', 0.5651803612709045, 'util', 1), ('google/pytype', 0.5498300194740295, 'typing', 4), ('google/yapf', 0.5436343550682068, 'util', 1), ('pycqa/pylint-django', 0.5301540493965149, 'util', 1), ('pytoolz/toolz', 0.5233083367347717, 'util', 0), ('landscapeio/prospector', 0.5223195552825928, 'util', 0), ('facebook/pyre-check', 0.5048815608024597, 'typing', 2), ('nedbat/coveragepy', 0.5013235807418823, 'testing', 0)]

174

6

null

0.92

37

36

114

0

9

37

48

90

1.3

49

1,297

nlp

https://github.com/promptslab/promptify

['prompt-engineering']

null

[]

null

promptslab/promptify

Promptify

2,835

205

46

Jupyter Notebook

https://discord.gg/m88xfYMbK6

Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research

promptslab

2024-01-14

2022-12-12

59

47.934783

https://avatars.githubusercontent.com/u/120981762?v=4

Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research

['chatgpt', 'chatgpt-api', 'chatgpt-python', 'gpt-3', 'gpt-3-prompts', 'gpt-4', 'gpt-4-api', 'gpt3-library', 'large-language-models', 'machine-learning', 'nlp', 'openai', 'prompt-engineering', 'prompt-toolkit', 'prompt-tuning', 'prompt-versioning', 'prompting', 'prompts', 'promptversioning', 'transformers']

2023-08-03

[('promptslab/awesome-prompt-engineering', 0.7121634483337402, 'study', 8), ('guidance-ai/guidance', 0.6470388770103455, 'llm', 2), ('xtekky/gpt4free', 0.6027716398239136, 'llm', 5), ('microsoft/autogen', 0.5999529957771301, 'llm', 2), ('agenta-ai/agenta', 0.5992403030395508, 'llm', 3), ('neulab/prompt2model', 0.5863036513328552, 'llm', 0), ('keirp/automatic_prompt_engineer', 0.5769301056861877, 'llm', 1), ('killianlucas/open-interpreter', 0.5764856338500977, 'llm', 2), ('bigscience-workshop/promptsource', 0.5728100538253784, 'nlp', 2), ('hazyresearch/ama_prompting', 0.5550077557563782, 'llm', 1), ('run-llama/rags', 0.5508096814155579, 'llm', 2), ('microsoft/promptbase', 0.5429252982139587, 'llm', 1), ('microsoft/chatgpt-robot-manipulation-prompts', 0.541034460067749, 'llm', 0), ('hazyresearch/manifest', 0.5325891971588135, 'llm', 1), ('microsoft/promptflow', 0.531336784362793, 'llm', 2), ('lianjiatech/belle', 0.5284560322761536, 'llm', 0), ('tmbo/questionary', 0.5267842411994934, 'term', 0), ('microsoft/pycodegpt', 0.5242052674293518, 'llm', 0), ('stanfordnlp/dspy', 0.5224989056587219, 'llm', 1), ('farizrahman4u/loopgpt', 0.5138046741485596, 'llm', 1), ('minimaxir/gpt-2-simple', 0.5102137327194214, 'llm', 1), ('eth-sri/lmql', 0.5044764876365662, 'llm', 2)]

12

4

null

8.29

8

1

13

5

0

1

8

4

90

0.5

49

245

util

https://github.com/pyston/pyston

[]

null

[]

null

pyston/pyston

pyston

2,476

90

38

Python

https://www.pyston.org/

A faster and highly-compatible implementation of the Python programming language.

pyston

2024-01-14

2021-03-01

152

16.274178

https://avatars.githubusercontent.com/u/9670621?v=4

A faster and highly-compatible implementation of the Python programming language.

[]

2023-02-28

[('pypy/pypy', 0.7871115207672119, 'util', 0), ('python/cpython', 0.7426720261573792, 'util', 0), ('pytoolz/toolz', 0.719200074672699, 'util', 0), ('cython/cython', 0.6975716352462769, 'util', 0), ('exaloop/codon', 0.6812407970428467, 'perf', 0), ('fastai/fastcore', 0.6732315421104431, 'util', 0), ('sympy/sympy', 0.6676157712936401, 'math', 0), ('eleutherai/pyfra', 0.650770366191864, 'ml', 0), ('micropython/micropython', 0.6496843695640564, 'util', 0), ('ipython/ipyparallel', 0.6226590275764465, 'perf', 0), ('hoffstadt/dearpygui', 0.6223757863044739, 'gui', 0), ('lcompilers/lpython', 0.6024731397628784, 'util', 0), ('joblib/joblib', 0.6001591086387634, 'util', 0), ('pytables/pytables', 0.5999751091003418, 'data', 0), ('pympler/pympler', 0.5993977189064026, 'perf', 0), ('faster-cpython/tools', 0.5962938070297241, 'perf', 0), ('primal100/pybitcointools', 0.5950328707695007, 'crypto', 0), ('ethereum/py-evm', 0.5943373441696167, 'crypto', 0), ('oracle/graalpython', 0.591853141784668, 'util', 0), ('adafruit/circuitpython', 0.5873665809631348, 'util', 0), ('google/latexify_py', 0.5858403444290161, 'util', 0), ('klen/py-frameworks-bench', 0.5815452933311462, 'perf', 0), ('paramiko/paramiko', 0.5798661708831787, 'util', 0), ('numba/llvmlite', 0.5717125535011292, 'util', 0), ('instagram/libcst', 0.5713760852813721, 'util', 0), ('google/jax', 0.5706031918525696, 'ml', 0), ('beeware/toga', 0.5686622262001038, 'gui', 0), ('1200wd/bitcoinlib', 0.5686086416244507, 'crypto', 0), ('ethereum/web3.py', 0.5668970942497253, 'crypto', 0), ('numpy/numpy', 0.5655171871185303, 'math', 0), ('brandtbucher/specialist', 0.5647898316383362, 'perf', 0), ('wxwidgets/phoenix', 0.5643559694290161, 'gui', 0), ('py4j/py4j', 0.5638821721076965, 'util', 0), ('faster-cpython/ideas', 0.5621926188468933, 'perf', 0), ('fredrik-johansson/mpmath', 0.5607538819313049, 'math', 0), ('agronholm/apscheduler', 0.5583381652832031, 'util', 0), ('connorferster/handcalcs', 0.5578861832618713, 'jupyter', 0), ('artemyk/dynpy', 0.5571711659431458, 'sim', 0), ('libtcod/python-tcod', 0.5553798079490662, 'gamedev', 0), ('pyglet/pyglet', 0.5540895462036133, 'gamedev', 0), ('dgilland/cacheout', 0.5537205338478088, 'perf', 0), ('norvig/pytudes', 0.5527113080024719, 'util', 0), ('pytransitions/transitions', 0.5525701642036438, 'util', 0), ('alexmojaki/snoop', 0.5509077310562134, 'debug', 0), ('erotemic/ubelt', 0.5508465766906738, 'util', 0), ('has2k1/plotnine', 0.5506923198699951, 'viz', 0), ('legrandin/pycryptodome', 0.5480275750160217, 'util', 0), ('marshmallow-code/marshmallow', 0.5445635914802551, 'util', 0), ('rustpython/rustpython', 0.543964684009552, 'util', 0), ('klen/muffin', 0.5434106588363647, 'web', 0), ('dosisod/refurb', 0.5432273149490356, 'util', 0), ('python-trio/trio', 0.5414426922798157, 'perf', 0), ('spotify/annoy', 0.5413413643836975, 'ml', 0), ('opengeos/leafmap', 0.5413333773612976, 'gis', 0), ('secdev/scapy', 0.5411231517791748, 'util', 0), ('facebook/pyre-check', 0.5409777760505676, 'typing', 0), ('urwid/urwid', 0.5381410121917725, 'term', 0), ('pexpect/pexpect', 0.5372031331062317, 'util', 0), ('crunch-io/lazycsv', 0.5371149182319641, 'perf', 0), ('google/pyglove', 0.5362030863761902, 'util', 0), ('python-rope/rope', 0.5357602834701538, 'util', 0), ('xrudelis/pytrait', 0.5349142551422119, 'util', 0), ('pandas-dev/pandas', 0.5344043970108032, 'pandas', 0), ('pythonspeed/filprofiler', 0.5313695073127747, 'profiling', 0), ('pyomo/pyomo', 0.5302437543869019, 'math', 0), ('pdm-project/pdm', 0.530032217502594, 'util', 0), ('webpy/webpy', 0.5299744606018066, 'web', 0), ('pypa/installer', 0.5297871828079224, 'util', 0), ('pyca/cryptography', 0.5291821360588074, 'util', 0), ('amaargiru/pyroad', 0.5288054347038269, 'study', 0), ('irmen/pyminiaudio', 0.5274853110313416, 'util', 0), ('asacristani/fastapi-rocket-boilerplate', 0.5267325639724731, 'template', 0), ('stanfordnlp/dspy', 0.5251495838165283, 'llm', 0), ('altair-viz/altair', 0.5246127843856812, 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0.5020092725753784, 'viz', 0), ('encode/httpx', 0.5002996325492859, 'web', 0), ('google/yapf', 0.5001851320266724, 'util', 0)]

1,037

6

null

0.04

1

0

35

11

0

164

1

2

90

2

49

1,739

ml-rl

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

['evolutionary-optimization']

null

[]

null

eureka-research/eureka

Eureka

2,376

197

22

Jupyter Notebook

https://eureka-research.github.io/

Official Repository for "Eureka: Human-Level Reward Design via Coding Large Language Models"

eureka-research

2024-01-14

2023-09-25

18

130.96063

https://avatars.githubusercontent.com/u/145279285?v=4

Official Repository for "Eureka: Human-Level Reward Design via Coding Large Language Models"

[]

['evolutionary-optimization']

2023-11-17

[('yueyu1030/attrprompt', 0.522046685218811, 'llm', 0), ('lupantech/chameleon-llm', 0.5140032768249512, 'llm', 0)]

2

0

null

0.12

36

8

4

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43

90

1.2

49

1,356

term

https://github.com/textualize/trogon

['click', 'cli', 'terminal', 'textual']

null

[]

null

textualize/trogon

trogon

2,229

44

20

Python

null

Easily turn your Click CLI into a powerful terminal application

textualize

2024-01-12

2023-04-18

41

54.365854

https://avatars.githubusercontent.com/u/93378883?v=4

Easily turn your Click CLI into a powerful terminal application

[]

['cli', 'click', 'terminal', 'textual']

2023-08-21

[('tiangolo/typer', 0.5765345692634583, 'term', 3), ('jquast/blessed', 0.5472238063812256, 'term', 2), ('pallets/click', 0.5391209125518799, 'term', 3), ('click-contrib/click-completion', 0.5366969704627991, 'term', 1), ('pexpect/pexpect', 0.5282593965530396, 'util', 0), ('python-poetry/cleo', 0.5179005265235901, 'term', 1), ('pyscript/pyscript-cli', 0.516979992389679, 'web', 0)]

6

3

null

3.12

14

2

9

5

3

4

3

14

9

90

0.6

49

527

ml-dl

https://github.com/neuralmagic/sparseml

[]

null

[]

null

neuralmagic/sparseml

sparseml

1,893

135

46

Python

null

Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

neuralmagic

2024-01-13

2020-12-11

163

11.572926

https://avatars.githubusercontent.com/u/68670575?v=4

Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

['automl', 'computer-vision-algorithms', 'deep-learning-algorithms', 'deep-learning-library', 'deep-learning-models', 'image-classification', 'keras', 'nlp', 'object-detection', 'onnx', 'pruning', 'pruning-algorithms', 'pytorch', 'smaller-models', 'sparsification', 'sparsification-recipes', 'sparsity', 'tensorflow', 'transfer-learning']

2024-01-12

[('neuralmagic/deepsparse', 0.7135436534881592, 'nlp', 5), ('lutzroeder/netron', 0.6401857137680054, 'ml', 4), ('mosaicml/composer', 0.6215312480926514, 'ml-dl', 1), ('pytorch/ignite', 0.6128144860267639, 'ml-dl', 1), ('karpathy/micrograd', 0.597611129283905, 'study', 0), ('skorch-dev/skorch', 0.5961683988571167, 'ml-dl', 1), ('explosion/thinc', 0.5918089747428894, 'ml-dl', 3), ('huggingface/transformers', 0.5908825993537903, 'nlp', 3), ('rafiqhasan/auto-tensorflow', 0.5831721425056458, 'ml-dl', 2), ('keras-team/autokeras', 0.5828292369842529, 'ml-dl', 3), ('rasbt/machine-learning-book', 0.5774632692337036, 'study', 1), ('intel/intel-extension-for-pytorch', 0.5700653195381165, 'perf', 1), ('nyandwi/modernconvnets', 0.567727267742157, 'ml-dl', 4), ('microsoft/nni', 0.565841555595398, 'ml', 3), ('alpa-projects/alpa', 0.560257613658905, 'ml-dl', 0), ('ashleve/lightning-hydra-template', 0.5597487688064575, 'util', 1), ('uber/petastorm', 0.5541288256645203, 'data', 2), ('ludwig-ai/ludwig', 0.5519493222236633, 'ml-ops', 1), ('nvidia/deeplearningexamples', 0.5509819984436035, 'ml-dl', 3), ('tensorflow/addons', 0.5490881204605103, 'ml', 1), ('ggerganov/ggml', 0.5481603741645813, 'ml', 0), ('huggingface/datasets', 0.5456334948539734, 'nlp', 3), ('awslabs/autogluon', 0.5449380278587341, 'ml', 5), ('albumentations-team/albumentations', 0.5420981645584106, 'ml-dl', 2), ('aleju/imgaug', 0.5411894917488098, 'ml', 0), ('arogozhnikov/einops', 0.5392698645591736, 'ml-dl', 3), ('cvxgrp/pymde', 0.5381171107292175, 'ml', 1), ('tensorflow/tensorflow', 0.5374124050140381, 'ml-dl', 1), ('oml-team/open-metric-learning', 0.5373204350471497, 'ml', 1), ('deepfakes/faceswap', 0.5372126698493958, 'ml-dl', 0), ('horovod/horovod', 0.5365691781044006, 'ml-ops', 3), ('microsoft/deepspeed', 0.5357862114906311, 'ml-dl', 1), ('ddbourgin/numpy-ml', 0.5339189171791077, 'ml', 0), ('huggingface/exporters', 0.5338050127029419, 'ml', 2), ('explosion/spacy-streamlit', 0.5314697623252869, 'nlp', 1), ('pyg-team/pytorch_geometric', 0.5272446274757385, 'ml-dl', 1), ('onnx/onnx', 0.5271431803703308, 'ml', 4), ('explosion/spacy-transformers', 0.525894284248352, 'llm', 3), ('microsoft/flaml', 0.525197446346283, 'ml', 1), ('rwightman/pytorch-image-models', 0.5248225331306458, 'ml-dl', 1), ('fepegar/torchio', 0.5229683518409729, 'ml-dl', 1), ('christoschristofidis/awesome-deep-learning', 0.5221423506736755, 'study', 0), ('aiqc/aiqc', 0.5212861895561218, 'ml-ops', 0), ('roboflow/notebooks', 0.5195624828338623, 'study', 3), ('tensorlayer/tensorlayer', 0.5187444090843201, 'ml-rl', 2), ('deci-ai/super-gradients', 0.5168516039848328, 'ml-dl', 4), ('tensorflow/tensor2tensor', 0.5167617201805115, 'ml', 0), ('tensorly/tensorly', 0.5156332850456238, 'ml-dl', 2), ('mrdbourke/pytorch-deep-learning', 0.5144563317298889, 'study', 1), ('lucidrains/imagen-pytorch', 0.512857973575592, 'ml-dl', 0), ('qdrant/quaterion', 0.5124584436416626, 'ml', 1), ('huggingface/optimum', 0.5119937658309937, 'ml', 2), ('roboflow/supervision', 0.5113904476165771, 'ml', 3), ('explosion/spacy-models', 0.5111375451087952, 'nlp', 1), ('aistream-peelout/flow-forecast', 0.5107213854789734, 'time-series', 2), ('towhee-io/towhee', 0.5096480250358582, 'ml-ops', 0), ('mdbloice/augmentor', 0.5088579654693604, 'ml', 0), ('keras-team/keras', 0.5088281631469727, 'ml-dl', 2), ('nccr-itmo/fedot', 0.508357048034668, 'ml-ops', 1), ('huggingface/neuralcoref', 0.5070856213569641, 'nlp', 2), ('iperov/deepfacelab', 0.5047088861465454, 'ml-dl', 0), ('microsoft/onnxruntime', 0.5017151236534119, 'ml', 3)]

47

2

null

6.75

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198

38

0

11

12

11

219

79

90

0.4

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433

data

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

[]

null

[]

null

sdv-dev/sdv

SDV

1,775

255

42

Python

https://docs.sdv.dev/sdv

Synthetic data generation for tabular data

sdv-dev

2024-01-13

2018-05-11

298

5.944976

https://avatars.githubusercontent.com/u/59050321?v=4

Synthetic data generation for tabular data

['data-generation', 'deep-learning', 'gan', 'gans', 'generative-adversarial-network', 'generative-ai', 'generative-model', 'generativeai', 'machine-learning', 'multi-table', 'relational-datasets', 'sdv', 'synthetic-data', 'synthetic-data-generation', 'time-series']

2024-01-11

[('ydataai/ydata-synthetic', 0.9112098217010498, 'data', 7), ('nicolas-hbt/pygraft', 0.6006342172622681, 'ml', 2), ('awslabs/autogluon', 0.562446117401123, 'ml', 3), ('makcedward/nlpaug', 0.517977237701416, 'nlp', 1)]

46

5

null

5.25

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116

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0

13

10

13

146

192

90

1.3

49

1,529

llm

https://github.com/spcl/graph-of-thoughts

[]

null

[]

1

null

spcl/graph-of-thoughts

graph-of-thoughts

1,675

102

19

Python

https://arxiv.org/pdf/2308.09687.pdf

Official Implementation of "Graph of Thoughts: Solving Elaborate Problems with Large Language Models"

spcl

2024-01-14

2023-08-18

23

71.060606

https://avatars.githubusercontent.com/u/31108244?v=4

Official Implementation of "Graph of Thoughts: Solving Elaborate Problems with Large Language Models"

['graph-of-thoughts', 'graph-structures', 'graphs', 'large-language-models', 'llm', 'prompt-engineering', 'prompting']

2023-12-02

[('kyegomez/tree-of-thoughts', 0.6711254715919495, 'llm', 1), ('dylanhogg/llmgraph', 0.6043452024459839, 'ml', 1), ('hannibal046/awesome-llm', 0.5740511417388916, 'study', 0), ('keirp/automatic_prompt_engineer', 0.5692050457000732, 'llm', 1), ('guidance-ai/guidance', 0.5539388060569763, 'llm', 1), ('lianjiatech/belle', 0.5425434708595276, 'llm', 0), ('lupantech/chameleon-llm', 0.5331078171730042, 'llm', 1), ('langchain-ai/langgraph', 0.5278857350349426, 'llm', 0), ('mooler0410/llmspracticalguide', 0.5230525732040405, 'study', 1), ('microsoft/autogen', 0.5202249884605408, 'llm', 0), ('ctlllll/llm-toolmaker', 0.5085147023200989, 'llm', 0)]

4

1

null

0.37

16

14

5

1

2

5

2

16

12

90

0.8

49

1,858

sim

https://github.com/nvidia/warp

['simulation', 'gpu']

null

[]

null

nvidia/warp

warp

1,472

118

43

Python

https://nvidia.github.io/warp/

A Python framework for high performance GPU simulation and graphics

nvidia

2024-01-13

2022-03-18

97

15.086384

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

A Python framework for high performance GPU simulation and graphics

[]

['gpu', 'simulation']

2024-01-11

[('pytorch/pytorch', 0.6113191843032837, 'ml-dl', 1), ('exaloop/codon', 0.603724479675293, 'perf', 0), ('rapidsai/jupyterlab-nvdashboard', 0.5572924017906189, 'jupyter', 1), ('google/jax', 0.5563659071922302, 'ml', 0), ('nvidia/tensorrt-llm', 0.5474246740341187, 'viz', 1), ('joblib/joblib', 0.5375118851661682, 'util', 0), ('google/tf-quant-finance', 0.5373433828353882, 'finance', 1), ('klen/py-frameworks-bench', 0.5304505825042725, 'perf', 0), ('google/gin-config', 0.5256108641624451, 'util', 0), ('pokepetter/ursina', 0.5230095982551575, 'gamedev', 0), ('pyston/pyston', 0.5197428464889526, 'util', 0), ('ipython/ipyparallel', 0.5195223093032837, 'perf', 0), ('cupy/cupy', 0.518425464630127, 'math', 1), ('huggingface/accelerate', 0.5148420333862305, 'ml', 0), ('micropython/micropython', 0.512362003326416, 'util', 0), ('numpy/numpy', 0.5096368193626404, 'math', 0), ('fastai/fastcore', 0.5028382539749146, 'util', 0), ('facebookincubator/aitemplate', 0.502746045589447, 'ml-dl', 0), ('eleutherai/gpt-neo', 0.5011614561080933, 'llm', 0)]

34

2

null

17.08

56

25

22

0

5

12

5

56

45

90

0.8

49

1,069

llm

https://github.com/microsoft/megatron-deepspeed

[]

null

[]

null

microsoft/megatron-deepspeed

Megatron-DeepSpeed

1,353

262

19

Python

null

Ongoing research training transformer language models at scale, including: BERT & GPT-2

microsoft

2024-01-13

2021-06-21

136

9.93809

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

Ongoing research training transformer language models at scale, including: BERT & GPT-2

[]

2024-01-10

[('bigscience-workshop/megatron-deepspeed', 1.0000001192092896, 'llm', 0), ('nvidia/megatron-lm', 0.6671424508094788, 'llm', 0), ('lvwerra/trl', 0.6662755608558655, 'llm', 0), ('jonasgeiping/cramming', 0.6582860946655273, 'nlp', 0), ('huggingface/transformers', 0.6457441449165344, 'nlp', 0), ('explosion/spacy-transformers', 0.6363678574562073, 'llm', 0), ('hannibal046/awesome-llm', 0.6277967095375061, 'study', 0), ('extreme-bert/extreme-bert', 0.6164913773536682, 'llm', 0), ('graykode/nlp-tutorial', 0.6075314879417419, 'study', 0), ('karpathy/mingpt', 0.6039530634880066, 'llm', 0), ('lianjiatech/belle', 0.5846147537231445, 'llm', 0), ('huggingface/text-generation-inference', 0.5798518061637878, 'llm', 0), ('nielsrogge/transformers-tutorials', 0.5679675936698914, 'study', 0), ('next-gpt/next-gpt', 0.5671409964561462, 'llm', 0), ('whu-zqh/chatgpt-vs.-bert', 0.5593957901000977, 'llm', 0), ('eleutherai/gpt-neo', 0.5555706024169922, 'llm', 0), ('eleutherai/knowledge-neurons', 0.548306405544281, 'ml-interpretability', 0), ('ai21labs/lm-evaluation', 0.5460460186004639, 'llm', 0), ('microsoft/lora', 0.5398515462875366, 'llm', 0), ('minimaxir/gpt-2-simple', 0.5385422110557556, 'llm', 0), ('deepset-ai/farm', 0.5374853014945984, 'nlp', 0), ('jalammar/ecco', 0.5253652930259705, 'ml-interpretability', 0), ('promptslab/awesome-prompt-engineering', 0.5253517031669617, 'study', 0), ('bigscience-workshop/biomedical', 0.5243796706199646, 'data', 0), ('xtekky/gpt4free', 0.5237749814987183, 'llm', 0), ('paddlepaddle/paddlenlp', 0.5230602622032166, 'llm', 0), ('ist-daslab/gptq', 0.5179560780525208, 'llm', 0), ('jina-ai/finetuner', 0.5171146988868713, 'ml', 0), ('bytedance/lightseq', 0.515959620475769, 'nlp', 0), ('lm-sys/fastchat', 0.51581871509552, 'llm', 0), ('alignmentresearch/tuned-lens', 0.515650749206543, 'ml-interpretability', 0), ('freedomintelligence/llmzoo', 0.5145018100738525, 'llm', 0), ('cdpierse/transformers-interpret', 0.5142018795013428, 'ml-interpretability', 0), ('bobazooba/xllm', 0.5139332413673401, 'llm', 0), ('lucidrains/toolformer-pytorch', 0.5127219557762146, 'llm', 0), ('llmware-ai/llmware', 0.5115044116973877, 'llm', 0), ('microsoft/autogen', 0.5109838843345642, 'llm', 0), ('salesforce/blip', 0.5101778507232666, 'diffusion', 0), ('thilinarajapakse/simpletransformers', 0.5100935697555542, 'nlp', 0), ('openai/finetune-transformer-lm', 0.5082074999809265, 'llm', 0), ('ctlllll/llm-toolmaker', 0.5077611804008484, 'llm', 0), ('openai/gpt-2', 0.5042035579681396, 'llm', 0), ('alibaba/easynlp', 0.5024697184562683, 'nlp', 0), ('muennighoff/sgpt', 0.5024375915527344, 'llm', 0)]

122

3

null

5.9

86

45

31

0

4

86

115

90

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973

ml

https://github.com/googlecloudplatform/vertex-ai-samples

[]

null

[]

null

googlecloudplatform/vertex-ai-samples

vertex-ai-samples

1,150

649

40

Jupyter Notebook

https://cloud.google.com/vertex-ai

Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud

googlecloudplatform

2024-01-11

2021-05-27

139

8.231084

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

Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud

['ai', 'data-science', 'gcp', 'google-cloud-platform', 'ml', 'mlops', 'notebook', 'samples', 'vertex-ai']

2024-01-12

[('google-research/google-research', 0.6550525426864624, 'ml', 1), ('mlflow/mlflow', 0.6433287262916565, 'ml-ops', 2), ('bentoml/bentoml', 0.6409500241279602, 'ml-ops', 2), ('pytorchlightning/pytorch-lightning', 0.6309098601341248, 'ml-dl', 2), ('hpcaitech/colossalai', 0.6214262843132019, 'llm', 1), ('netflix/metaflow', 0.6179714798927307, 'ml-ops', 5), ('polyaxon/polyaxon', 0.6127983331680298, 'ml-ops', 4), ('skypilot-org/skypilot', 0.6106062531471252, 'llm', 1), ('google-research/language', 0.6063291430473328, 'nlp', 0), ('jina-ai/jina', 0.6033614873886108, 'ml', 1), ('feast-dev/feast', 0.595111072063446, 'ml-ops', 3), ('activeloopai/deeplake', 0.5941661596298218, 'ml-ops', 4), ('mindsdb/mindsdb', 0.5918219685554504, 'data', 2), ('determined-ai/determined', 0.5860880613327026, 'ml-ops', 2), ('alirezadir/machine-learning-interview-enlightener', 0.5835177302360535, 'study', 1), ('qdrant/qdrant', 0.5779662132263184, 'data', 1), ('sweepai/sweep', 0.5760075449943542, 'llm', 1), ('oegedijk/explainerdashboard', 0.5758024454116821, 'ml-interpretability', 0), ('tensorflow/tensorflow', 0.5740510821342468, 'ml-dl', 1), ('ml-tooling/opyrator', 0.5720667243003845, 'viz', 0), ('cheshire-cat-ai/core', 0.5718985199928284, 'llm', 1), ('firmai/industry-machine-learning', 0.5715494751930237, 'study', 1), ('marqo-ai/marqo', 0.5693247318267822, 'ml', 0), ('deepmind/dm_control', 0.569223940372467, 'ml-rl', 0), ('microsoft/nni', 0.5683177709579468, 'ml', 2), ('unity-technologies/ml-agents', 0.5682862997055054, 'ml-rl', 0), ('mlc-ai/mlc-llm', 0.5680209994316101, 'llm', 0), ('huggingface/datasets', 0.5620868802070618, 'nlp', 0), ('merantix-momentum/squirrel-core', 0.5609938502311707, 'ml', 3), ('onnx/onnx', 0.558918833732605, 'ml', 1), ('chandlerbang/awesome-self-supervised-gnn', 0.5588842034339905, 'study', 0), ('googlecloudplatform/python-docs-samples', 0.5574522018432617, 'util', 1), ('alpa-projects/alpa', 0.5572735667228699, 'ml-dl', 0), ('polyaxon/datatile', 0.5558412075042725, 'pandas', 2), ('gradio-app/gradio', 0.5544818639755249, 'viz', 1), ('patchy631/machine-learning', 0.5536148548126221, 'ml', 0), ('ray-project/ray', 0.549000084400177, 'ml-ops', 1), ('microsoft/onnxruntime', 0.5478015542030334, 'ml', 0), ('prefecthq/marvin', 0.5464761853218079, 'nlp', 1), ('danielegrattarola/spektral', 0.545731782913208, 'ml-dl', 0), ('wandb/client', 0.5439368486404419, 'ml', 2), ('superduperdb/superduperdb', 0.5415635704994202, 'data', 3), ('stellargraph/stellargraph', 0.5413510799407959, 'graph', 1), ('google/dopamine', 0.5409380793571472, 'ml-rl', 2), ('iterative/dvc', 0.5397675633430481, 'ml-ops', 2), ('aimhubio/aim', 0.5386273264884949, 'ml-ops', 4), ('ddbourgin/numpy-ml', 0.5378352403640747, 'ml', 0), ('antonosika/gpt-engineer', 0.5366024374961853, 'llm', 1), ('keras-rl/keras-rl', 0.5353646278381348, 'ml-rl', 0), ('xplainable/xplainable', 0.53435218334198, 'ml-interpretability', 1), ('ludwig-ai/ludwig', 0.5321346521377563, 'ml-ops', 2), ('titanml/takeoff', 0.531377375125885, 'llm', 0), ('deepchecks/deepchecks', 0.5285258889198303, 'data', 3), ('explosion/thinc', 0.5279651284217834, 'ml-dl', 1), ('google/mediapipe', 0.5271955132484436, 'ml', 0), ('transformeroptimus/superagi', 0.5266525745391846, 'llm', 1), ('mosaicml/composer', 0.525791585445404, 'ml-dl', 0), ('avaiga/taipy', 0.5246182680130005, 'data', 1), ('microsoft/lmops', 0.5236150026321411, 'llm', 0), ('giskard-ai/giskard', 0.5234065651893616, 'data', 1), ('googlecloudplatform/practical-ml-vision-book', 0.5228831768035889, 'study', 0), ('rasbt/machine-learning-book', 0.5225531458854675, 'study', 0), ('ml-for-high-risk-apps-book/machine-learning-for-high-risk-applications-book', 0.5220873951911926, 'study', 0), ('tensorlayer/tensorlayer', 0.5206416845321655, 'ml-rl', 0), ('kubeflow-kale/kale', 0.5194539427757263, 'ml-ops', 0), ('tensorflow/tensor2tensor', 0.5193653702735901, 'ml', 0), ('uber/fiber', 0.5184296369552612, 'data', 0), ('google/tf-quant-finance', 0.5174439549446106, 'finance', 0), ('kubeflow/pipelines', 0.5168536901473999, 'ml-ops', 2), ('pathwaycom/llm-app', 0.5163154006004333, 'llm', 0), ('adap/flower', 0.5161627531051636, 'ml-ops', 1), ('whylabs/whylogs', 0.5152586102485657, 'util', 2), ('operand/agency', 0.5143194198608398, 'llm', 1), ('pythagora-io/gpt-pilot', 0.513899564743042, 'llm', 1), ('fchollet/deep-learning-with-python-notebooks', 0.5130940079689026, 'study', 0), ('dialogflow/dialogflow-python-client-v2', 0.5129502415657043, 'nlp', 0), ('horovod/horovod', 0.5119903683662415, 'ml-ops', 0), ('nebuly-ai/nebullvm', 0.5115224719047546, 'perf', 1), ('arize-ai/phoenix', 0.5083956122398376, 'ml-interpretability', 1), ('aws/sagemaker-python-sdk', 0.5073953866958618, 'ml', 0), ('dagworks-inc/hamilton', 0.5069316625595093, 'ml-ops', 2), ('keras-team/autokeras', 0.5066843032836914, 'ml-dl', 0), ('kubeflow/fairing', 0.5057130455970764, 'ml-ops', 0), ('online-ml/river', 0.505128800868988, 'ml', 1), ('lithops-cloud/lithops', 0.5040023922920227, 'ml-ops', 0), ('bigscience-workshop/petals', 0.5039993524551392, 'data', 0), ('rasahq/rasa', 0.5028780102729797, 'llm', 0), ('rafiqhasan/auto-tensorflow', 0.5013206601142883, 'ml-dl', 0), ('lutzroeder/netron', 0.5002110004425049, 'ml', 2)]

141

5

null

19.94

297

270

32

0

297

294

90

1

49

1,508

llm

https://github.com/ajndkr/lanarky

[]

null

[]

null

ajndkr/lanarky

lanarky

900

65

14

Python

https://lanarky.ajndkr.com/

The web framework for building LLM microservices

ajndkr

2024-01-12

2023-04-07

42

21.14094

null

The web framework for building LLM microservices

['fastapi', 'llmops', 'web']

2024-01-13

[('janetech-inc/fast-api-admin-template', 0.6117317080497742, 'template', 0), ('berriai/litellm', 0.587331235408783, 'llm', 1), ('young-geng/easylm', 0.5861847996711731, 'llm', 0), ('pathwaycom/llm-app', 0.5696076154708862, 'llm', 1), ('tiangolo/fastapi', 0.5630785822868347, 'web', 2), ('shishirpatil/gorilla', 0.5609325766563416, 'llm', 0), ('run-llama/llama-hub', 0.5594974160194397, 'data', 0), ('alpha-vllm/llama2-accessory', 0.552966833114624, 'llm', 0), ('jerryjliu/llama_index', 0.5451417565345764, 'llm', 0), ('deep-diver/llm-as-chatbot', 0.5414519309997559, 'llm', 0), ('ml-tooling/opyrator', 0.5310590267181396, 'viz', 1), ('deepset-ai/haystack', 0.5300788283348083, 'llm', 0), ('run-llama/llama-lab', 0.5272144079208374, 'llm', 0), ('unionai-oss/unionml', 0.5264783501625061, 'ml-ops', 0), ('falconry/falcon', 0.5218005180358887, 'web', 1), ('eugeneyan/open-llms', 0.5215867757797241, 'study', 0), ('tiangolo/full-stack-fastapi-postgresql', 0.5205399394035339, 'template', 1), ('pallets/quart', 0.5203720331192017, 'web', 0), ('hwchase17/langchain', 0.5159770846366882, 'llm', 0), ('bentoml/openllm', 0.5158595442771912, 'ml-ops', 1), ('pallets/flask', 0.510615348815918, 'web', 0), ('microsoft/semantic-kernel', 0.5084496140480042, 'llm', 0), ('agenta-ai/agenta', 0.5057575702667236, 'llm', 1)]

13

2

null

3.06

53

47

9

0

48

65

48

53

62

90

1.2

49

1,318

ml-dl

https://github.com/nvidia/deeplearningexamples

[]

null

[]

null

nvidia/deeplearningexamples

DeepLearningExamples

12,049

2,999

295

Jupyter Notebook

null

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

nvidia

2024-01-14

2018-05-02

299

40.182468

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

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

['computer-vision', 'deep-learning', 'drug-discovery', 'forecasting', 'large-language-models', 'mxnet', 'nlp', 'paddlepaddle', 'pytorch', 'recommender-systems', 'speech-recognition', 'speech-synthesis', 'tensorflow', 'tensorflow2', 'translation']

2023-12-08

[('huggingface/transformers', 0.6816701889038086, 'nlp', 5), ('huggingface/datasets', 0.6591049432754517, 'nlp', 5), ('explosion/thinc', 0.6549383401870728, 'ml-dl', 5), ('ddbourgin/numpy-ml', 0.6215345859527588, 'ml', 0), ('keras-team/keras-nlp', 0.6211730241775513, 'nlp', 3), ('tensorflow/tensor2tensor', 0.6179958581924438, 'ml', 1), ('aiqc/aiqc', 0.6063768267631531, 'ml-ops', 0), ('microsoft/deepspeed', 0.6031937003135681, 'ml-dl', 2), ('bentoml/bentoml', 0.6029508113861084, 'ml-ops', 1), ('tensorflow/tensorflow', 0.5997220873832703, 'ml-dl', 2), ('keras-team/keras', 0.5996661186218262, 'ml-dl', 3), ('apache/incubator-mxnet', 0.5984542965888977, 'ml-dl', 1), ('llmware-ai/llmware', 0.5966246128082275, 'llm', 3), ('tensorlayer/tensorlayer', 0.5958699584007263, 'ml-rl', 2), ('pytorch/ignite', 0.5919349193572998, 'ml-dl', 2), ('d2l-ai/d2l-en', 0.5897380709648132, 'study', 5), ('rasbt/machine-learning-book', 0.5868580937385559, 'study', 2), ('lutzroeder/netron', 0.5856183767318726, 'ml', 4), ('optimalscale/lmflow', 0.5852581858634949, 'llm', 2), ('horovod/horovod', 0.5849502086639404, 'ml-ops', 4), ('rafiqhasan/auto-tensorflow', 0.5845487713813782, 'ml-dl', 1), ('karpathy/micrograd', 0.583264946937561, 'study', 0), ('microsoft/onnxruntime', 0.5810919404029846, 'ml', 3), ('deeppavlov/deeppavlov', 0.5808957815170288, 'nlp', 3), ('google/trax', 0.5805593132972717, 'ml-dl', 1), ('extreme-bert/extreme-bert', 0.5793726444244385, 'llm', 3), ('microsoft/nni', 0.5766809582710266, 'ml', 3), ('lucidrains/toolformer-pytorch', 0.576062798500061, 'llm', 1), ('keras-team/autokeras', 0.5739009976387024, 'ml-dl', 2), ('alpa-projects/alpa', 0.5713871717453003, 'ml-dl', 1), ('intel/intel-extension-for-pytorch', 0.5710954070091248, 'perf', 2), ('determined-ai/determined', 0.5695421099662781, 'ml-ops', 3), ('graykode/nlp-tutorial', 0.569402277469635, 'study', 3), ('pytorchlightning/pytorch-lightning', 0.5674681067466736, 'ml-dl', 2), ('allenai/allennlp', 0.5669660568237305, 'nlp', 3), ('mosaicml/composer', 0.5654811859130859, 'ml-dl', 2), ('ageron/handson-ml2', 0.5652621388435364, 'ml', 0), ('gradio-app/gradio', 0.5647919774055481, 'viz', 1), ('arogozhnikov/einops', 0.5647768378257751, 'ml-dl', 3), ('onnx/onnx', 0.5635833144187927, 'ml', 4), ('alibaba/easynlp', 0.5610079169273376, 'nlp', 3), ('tlkh/tf-metal-experiments', 0.5584723949432373, 'perf', 2), ('deepmodeling/deepmd-kit', 0.558430016040802, 'sim', 2), ('uber/petastorm', 0.5578290820121765, 'data', 3), ('rwightman/pytorch-image-models', 0.5575792193412781, 'ml-dl', 1), ('ludwig-ai/ludwig', 0.557460367679596, 'ml-ops', 3), ('neuralmagic/deepsparse', 0.554892361164093, 'nlp', 2), ('rasbt/deeplearning-models', 0.554612934589386, 'ml-dl', 0), ('ml-for-high-risk-apps-book/machine-learning-for-high-risk-applications-book', 0.5539207458496094, 'study', 1), ('tatsu-lab/stanford_alpaca', 0.5533385872840881, 'llm', 1), ('neuralmagic/sparseml', 0.5509819984436035, 'ml-dl', 3), ('christoschristofidis/awesome-deep-learning', 0.55058354139328, 'study', 1), ('fchollet/deep-learning-with-python-notebooks', 0.5502544045448303, 'study', 0), ('aistream-peelout/flow-forecast', 0.549731969833374, 'time-series', 3), ('explosion/spacy', 0.5494264364242554, 'nlp', 2), ('databrickslabs/dolly', 0.548334538936615, 'llm', 0), ('kubeflow/fairing', 0.548143744468689, 'ml-ops', 0), ('tensorflow/lucid', 0.5472056269645691, 'ml-interpretability', 1), ('nyandwi/modernconvnets', 0.5466137528419495, 'ml-dl', 2), ('ray-project/ray', 0.5435977578163147, 'ml-ops', 3), ('salesforce/deeptime', 0.5429381728172302, 'time-series', 2), ('activeloopai/deeplake', 0.5426178574562073, 'ml-ops', 5), ('polyaxon/polyaxon', 0.5416098833084106, 'ml-ops', 4), ('microsoft/semi-supervised-learning', 0.5403677821159363, 'ml', 3), ('deepset-ai/farm', 0.5379154086112976, 'nlp', 3), ('deepchecks/deepchecks', 0.537693440914154, 'data', 2), ('merantix-momentum/squirrel-core', 0.5371223092079163, 'ml', 5), ('deepmind/deepmind-research', 0.5370939373970032, 'ml', 0), ('mlc-ai/mlc-llm', 0.5367917418479919, 'llm', 0), ('dmlc/dgl', 0.5359228849411011, 'ml-dl', 1), ('jina-ai/finetuner', 0.5358811616897583, 'ml', 0), ('iperov/deepfacelab', 0.5346398949623108, 'ml-dl', 1), ('bigscience-workshop/petals', 0.5345199704170227, 'data', 4), ('unity-technologies/ml-agents', 0.5343484878540039, 'ml-rl', 1), ('mrdbourke/pytorch-deep-learning', 0.5341781973838806, 'study', 2), ('jina-ai/clip-as-service', 0.5337973833084106, 'nlp', 2), ('ourownstory/neural_prophet', 0.5321094989776611, 'ml', 3), ('rasahq/rasa', 0.5313621163368225, 'llm', 1), ('tensorflow/addons', 0.5303577780723572, 'ml', 2), ('towhee-io/towhee', 0.5302903652191162, 'ml-ops', 1), ('xl0/lovely-tensors', 0.5299148559570312, 'ml-dl', 2), ('fepegar/torchio', 0.5291038155555725, 'ml-dl', 2), ('ggerganov/ggml', 0.5287749171257019, 'ml', 1), ('franck-dernoncourt/neuroner', 0.5285832285881042, 'nlp', 3), ('denys88/rl_games', 0.5283133387565613, 'ml-rl', 2), ('ashleve/lightning-hydra-template', 0.5269266963005066, 'util', 2), ('adap/flower', 0.5243560671806335, 'ml-ops', 3), ('luodian/otter', 0.52414870262146, 'llm', 1), ('huggingface/huggingface_hub', 0.5234879851341248, 'ml', 2), ('skorch-dev/skorch', 0.5229756832122803, 'ml-dl', 1), ('nvidia/nemo', 0.5229525566101074, 'nlp', 4), ('amanchadha/coursera-deep-learning-specialization', 0.5228648781776428, 'study', 1), ('ml-tooling/opyrator', 0.5223838090896606, 'viz', 0), ('pyro-ppl/pyro', 0.5212848782539368, 'ml-dl', 2), ('intellabs/bayesian-torch', 0.5206497311592102, 'ml', 2), ('mlflow/mlflow', 0.5205937027931213, 'ml-ops', 0), ('paddlepaddle/paddlenlp', 0.5180720090866089, 'llm', 1), ('aws/sagemaker-python-sdk', 0.5177861452102661, 'ml', 3), ('google-research/electra', 0.5167393684387207, 'ml-dl', 3), ('keras-rl/keras-rl', 0.5158306956291199, 'ml-rl', 1), ('roboflow/supervision', 0.5154585242271423, 'ml', 4), ('huggingface/text-generation-inference', 0.5152902007102966, 'llm', 3), ('titanml/takeoff', 0.5151104927062988, 'llm', 0), ('espnet/espnet', 0.5145514607429504, 'nlp', 4), ('lucidrains/imagen-pytorch', 0.5135546326637268, 'ml-dl', 1), ('google-research/deeplab2', 0.5127051472663879, 'ml', 0), ('deepfakes/faceswap', 0.5123569965362549, 'ml-dl', 1), ('davidadsp/generative_deep_learning_2nd_edition', 0.5120260119438171, 'study', 2), ('paddlepaddle/paddle', 0.5118424296379089, 'ml-dl', 2), ('minimaxir/textgenrnn', 0.5115391612052917, 'nlp', 2), ('deepmind/dm-haiku', 0.5113754868507385, 'ml-dl', 1), ('project-monai/monai', 0.5109444260597229, 'ml', 2), ('tensorly/tensorly', 0.5106650590896606, 'ml-dl', 3), ('tigerlab-ai/tiger', 0.5106365084648132, 'llm', 1), ('oegedijk/explainerdashboard', 0.5068669319152832, 'ml-interpretability', 0), ('huggingface/autotrain-advanced', 0.5064716339111328, 'ml', 1), ('nebuly-ai/nebullvm', 0.5064698457717896, 'perf', 1), ('udacity/deep-learning-v2-pytorch', 0.505573570728302, 'study', 2), ('rasbt/stat453-deep-learning-ss20', 0.5055111050605774, 'study', 0), ('koaning/embetter', 0.5039408206939697, 'data', 0), ('microsoft/unilm', 0.5029410719871521, 'nlp', 1), ('salesforce/blip', 0.5009772181510925, 'diffusion', 0), ('keras-team/keras-cv', 0.5008230805397034, 'ml-dl', 1), ('alirezadir/machine-learning-interview-enlightener', 0.5003179907798767, 'study', 1)]

115

1

null

1.15

11

0

69

1

0

11

3

90

0.3

48

115

nlp

https://github.com/allenai/allennlp

[]

null

[]

null

allenai/allennlp

allennlp

11,631

2,261

284

Python

http://www.allennlp.org

An open-source NLP research library, built on PyTorch.

allenai

2024-01-13

2017-05-15

350

33.21787

https://avatars.githubusercontent.com/u/5667695?v=4

An open-source NLP research library, built on PyTorch.

['data-science', 'deep-learning', 'natural-language-processing', 'nlp', 'pytorch']

2022-11-22

[('nltk/nltk', 0.6935926675796509, 'nlp', 2), ('alibaba/easynlp', 0.6890572309494019, 'nlp', 3), ('flairnlp/flair', 0.6880818605422974, 'nlp', 3), ('graykode/nlp-tutorial', 0.6779881715774536, 'study', 3), ('pytorch/ignite', 0.6625421047210693, 'ml-dl', 2), ('explosion/spacy', 0.6516764163970947, 'nlp', 4), ('skorch-dev/skorch', 0.639916181564331, 'ml-dl', 1), ('huggingface/transformers', 0.6358655095100403, 'nlp', 4), ('pemistahl/lingua-py', 0.6268466711044312, 'nlp', 2), ('explosion/spacy-models', 0.6203604340553284, 'nlp', 2), ('deeppavlov/deeppavlov', 0.6174921989440918, 'nlp', 2), ('rasahq/rasa', 0.6140093207359314, 'llm', 2), ('rasbt/machine-learning-book', 0.6064896583557129, 'study', 2), ('keras-team/keras-nlp', 0.605678379535675, 'nlp', 3), ('mrdbourke/pytorch-deep-learning', 0.6028923988342285, 'study', 2), ('norskregnesentral/skweak', 0.5997143387794495, 'nlp', 2), ('deepset-ai/farm', 0.5969370007514954, 'nlp', 3), ('intel/intel-extension-for-pytorch', 0.5950837731361389, 'perf', 2), ('ibm/transition-amr-parser', 0.5920513272285461, 'nlp', 1), ('pytorch/captum', 0.5909707546234131, 'ml-interpretability', 0), ('pytorch/data', 0.5899907946586609, 'data', 0), ('speechbrain/speechbrain', 0.5886344313621521, 'nlp', 2), ('pyg-team/pytorch_geometric', 0.5823215246200562, 'ml-dl', 2), ('franck-dernoncourt/neuroner', 0.5776329040527344, 'nlp', 2), ('infinitylogesh/mutate', 0.5738117098808289, 'nlp', 0), ('paddlepaddle/paddlenlp', 0.5729801058769226, 'llm', 1), ('google-research/electra', 0.5719739198684692, 'ml-dl', 2), ('salesforce/blip', 0.5719388127326965, 'diffusion', 0), ('huggingface/text-generation-inference', 0.5714684128761292, 'llm', 3), ('nvidia/apex', 0.5706870555877686, 'ml-dl', 0), ('koaning/whatlies', 0.570354700088501, 'nlp', 1), ('nvidia/deeplearningexamples', 0.5669660568237305, 'ml-dl', 3), ('timdettmers/bitsandbytes', 0.5652725100517273, 'util', 0), ('pytorch/rl', 0.5637892484664917, 'ml-rl', 1), ('explosion/thinc', 0.5593048930168152, 'ml-dl', 4), ('lucidrains/imagen-pytorch', 0.5545222163200378, 'ml-dl', 1), ('explosion/spacy-llm', 0.5512605905532837, 'llm', 2), ('jalammar/ecco', 0.5496200323104858, 'ml-interpretability', 3), ('bytedance/lightseq', 0.5493444800376892, 'nlp', 0), ('openlmlab/moss', 0.548026978969574, 'llm', 2), ('databrickslabs/dolly', 0.5456701517105103, 'llm', 0), ('denys88/rl_games', 0.5432136654853821, 'ml-rl', 2), ('tensorflow/tensor2tensor', 0.5407803058624268, 'ml', 1), ('ashleve/lightning-hydra-template', 0.5402539968490601, 'util', 2), ('nvidia/nemo', 0.5374099016189575, 'nlp', 2), ('argilla-io/argilla', 0.5366323590278625, 'nlp', 2), ('lucidrains/dalle2-pytorch', 0.5331498384475708, 'diffusion', 1), ('llmware-ai/llmware', 0.5309963226318359, 'llm', 2), ('blinkdl/chatrwkv', 0.5303969979286194, 'llm', 1), ('huggingface/huggingface_hub', 0.5300591588020325, 'ml', 3), ('plasticityai/magnitude', 0.5297778248786926, 'nlp', 2), ('rentruewang/koila', 0.5262885689735413, 'ml', 2), ('makcedward/nlpaug', 0.5257618427276611, 'nlp', 3), ('cqcl/lambeq', 0.5252924561500549, 'nlp', 0), ('lightly-ai/lightly', 0.5244608521461487, 'ml', 2), ('lexpredict/lexpredict-lexnlp', 0.524100661277771, 'nlp', 1), ('sloria/textblob', 0.5219146013259888, 'nlp', 2), ('huggingface/datasets', 0.5202730894088745, 'nlp', 4), ('google-research/language', 0.5185959935188293, 'nlp', 1), ('optimalscale/lmflow', 0.5176029801368713, 'llm', 2), ('deepmind/deepmind-research', 0.514882504940033, 'ml', 0), ('karpathy/micrograd', 0.5140243768692017, 'study', 0), ('minimaxir/textgenrnn', 0.5124790072441101, 'nlp', 1), ('jbesomi/texthero', 0.5118191242218018, 'nlp', 1), ('tensorlayer/tensorlayer', 0.5114910006523132, 'ml-rl', 1), ('minimaxir/gpt-2-simple', 0.510489821434021, 'llm', 0), ('blackhc/toma', 0.5094995498657227, 'ml-dl', 2), ('aiwaves-cn/agents', 0.5092148184776306, 'nlp', 0), ('ferdinandzhong/punctuator', 0.5085445046424866, 'nlp', 3), ('neuml/txtai', 0.50567227602005, 'nlp', 1), ('thu-ml/tianshou', 0.5055130124092102, 'ml-rl', 1), ('cgpotts/cs224u', 0.5052735805511475, 'study', 1), ('extreme-bert/extreme-bert', 0.5051680207252502, 'llm', 4), ('faster-cpython/ideas', 0.5050787329673767, 'perf', 0), ('mooler0410/llmspracticalguide', 0.5047245025634766, 'study', 2), ('lm-sys/fastchat', 0.5036823153495789, 'llm', 0), ('xl0/lovely-tensors', 0.5030158162117004, 'ml-dl', 2), ('carla-recourse/carla', 0.5022084712982178, 'ml', 1), ('bigscience-workshop/promptsource', 0.5015190839767456, 'nlp', 2), ('koaning/human-learn', 0.501263439655304, 'data', 0)]

267

5

null

0

81

14

0

10

0

90

0

48

1,827

util

https://github.com/zulko/moviepy

[]

null

[]

null

zulko/moviepy

moviepy

11,300

1,501

256

Python

https://zulko.github.io/moviepy/

Video editing with Python

zulko

2024-01-14

2013-08-12

546

20.690557

null

Video editing with Python

['animation', 'gif', 'video', 'video-editing', 'video-processing']

2023-07-11

[('imageio/imageio', 0.6167894601821899, 'util', 1), ('soft-matter/pims', 0.6140278577804565, 'util', 1), ('scikit-image/scikit-image', 0.5875822305679321, 'util', 0), ('chenyangqiqi/fatezero', 0.5514541268348694, 'diffusion', 1), ('researchmm/sttn', 0.5262514352798462, 'ml-dl', 0), ('has2k1/plotnine', 0.524414598941803, 'viz', 0), ('pyglet/pyglet', 0.5143889784812927, 'gamedev', 0), ('renpy/renpy', 0.5059114098548889, 'viz', 0), ('open-mmlab/mmediting', 0.5014966726303101, 'ml', 0)]

160

1

null

0.21

85

22

127

6

0

1

85

137

90

1.6

48

215

debug

https://github.com/gruns/icecream

[]

null

[]

null

gruns/icecream

icecream

8,090

171

50

Python

null

🍦 Never use print() to debug again.

gruns

2024-01-13

2018-02-13

311

26.012862

null

🍦 Never use print() to debug again.

['debug', 'debugging', 'debugging-tool', 'inspects', 'print']

2022-12-04

[('cool-rr/pysnooper', 0.8130260705947876, 'debug', 1)]

21

7

null

0

26

4

72

14

0

1

26

38

90

1.5

48

1,206

ml

https://github.com/uberi/speech_recognition

[]

null

[]

null

uberi/speech_recognition

speech_recognition

7,796

2,331

282

Python

https://pypi.python.org/pypi/SpeechRecognition/

Speech recognition module for Python, supporting several engines and APIs, online and offline.

uberi

2024-01-14

2014-04-23

509

15.290558

null

Speech recognition module for Python, supporting several engines and APIs, online and offline.

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

2023-12-06

[('pndurette/gtts', 0.7022308707237244, 'util', 0), ('nateshmbhat/pyttsx3', 0.6923384070396423, 'util', 0), ('spotify/pedalboard', 0.6759282946586609, 'util', 1), ('speechbrain/speechbrain', 0.6739375591278076, 'nlp', 3), ('irmen/pyminiaudio', 0.659464955329895, 'util', 0), ('googleapis/python-speech', 0.6549380421638489, 'ml', 0), ('pemistahl/lingua-py', 0.6296498775482178, 'nlp', 0), ('m-bain/whisperx', 0.6138349771499634, 'nlp', 2), ('espnet/espnet', 0.6095865964889526, 'nlp', 1), ('bastibe/python-soundfile', 0.575599730014801, 'util', 0), ('taylorsmarks/playsound', 0.5477955341339111, 'util', 0), ('jamesturk/jellyfish', 0.545852541923523, 'nlp', 0), ('minimaxir/simpleaichat', 0.5369465351104736, 'llm', 0), ('quodlibet/mutagen', 0.5264820456504822, 'util', 0), ('pytoolz/toolz', 0.517691969871521, 'util', 0), ('clips/pattern', 0.5162601470947266, 'nlp', 0), ('cmusphinx/pocketsphinx', 0.5127110481262207, 'ml', 1), ('deeppavlov/deeppavlov', 0.509485125541687, 'nlp', 0), ('pypy/pypy', 0.5066007971763611, 'util', 0), ('rasbt/mlxtend', 0.5056686401367188, 'ml', 0), ('rasahq/rasa', 0.5011873245239258, 'llm', 0)]

49

4

null

0.98

45

14

118

1

2

5

2

45

36

90

0.8

48

132

ml

https://github.com/automl/auto-sklearn

[]

null

[]

null

automl/auto-sklearn

auto-sklearn

7,287

1,268

215

Python

https://automl.github.io/auto-sklearn

Automated Machine Learning with scikit-learn

automl

2024-01-13

2015-07-02

447

16.276005

https://avatars.githubusercontent.com/u/6469053?v=4

Automated Machine Learning with scikit-learn

['automated-machine-learning', 'automl', 'bayesian-optimization', 'hyperparameter-optimization', 'hyperparameter-search', 'hyperparameter-tuning', 'meta-learning', 'metalearning', 'scikit-learn', 'smac']

2023-04-18

[('microsoft/nni', 0.7624291777610779, 'ml', 5), ('nccr-itmo/fedot', 0.7373944520950317, 'ml-ops', 3), ('microsoft/flaml', 0.7281423807144165, 'ml', 4), ('ray-project/tune-sklearn', 0.6818026304244995, 'ml', 4), ('winedarksea/autots', 0.6762388944625854, 'time-series', 1), ('awslabs/autogluon', 0.672629177570343, 'ml', 4), ('mljar/mljar-supervised', 0.6622180938720703, 'ml', 4), ('epistasislab/tpot', 0.6574358940124512, 'ml', 4), ('featurelabs/featuretools', 0.6524330377578735, 'ml', 3), ('districtdatalabs/yellowbrick', 0.6410435438156128, 'ml', 1), ('google/pyglove', 0.6234724521636963, 'util', 2), ('keras-team/autokeras', 0.616755485534668, 'ml-dl', 2), ('koaning/scikit-lego', 0.6153001189231873, 'ml', 1), ('scikit-optimize/scikit-optimize', 0.6117300391197205, 'ml', 5), ('scikit-learn/scikit-learn', 0.6095296144485474, 'ml', 0), ('determined-ai/determined', 0.6021798253059387, 'ml-ops', 3), ('rasbt/machine-learning-book', 0.6004539132118225, 'study', 1), ('patchy631/machine-learning', 0.6001100540161133, 'ml', 0), ('skops-dev/skops', 0.5991626381874084, 'ml-ops', 1), ('sktime/sktime', 0.5886750817298889, 'time-series', 1), ('intel/scikit-learn-intelex', 0.5883508920669556, 'perf', 1), ('koaning/human-learn', 0.5842374563217163, 'data', 1), ('scikit-learn-contrib/metric-learn', 0.576133131980896, 'ml', 1), ('shankarpandala/lazypredict', 0.5726633667945862, 'ml', 1), ('xplainable/xplainable', 0.5678261518478394, 'ml-interpretability', 0), ('gradio-app/gradio', 0.5600031614303589, 'viz', 0), ('onnx/onnx', 0.5575015544891357, 'ml', 1), ('huggingface/autotrain-advanced', 0.5570406317710876, 'ml', 0), ('iryna-kondr/scikit-llm', 0.5549347996711731, 'llm', 1), ('fatiando/verde', 0.5549225807189941, 'gis', 0), ('polyaxon/polyaxon', 0.5545597672462463, 'ml-ops', 1), ('firmai/atspy', 0.5523808598518372, 'time-series', 0), ('google/vizier', 0.5519843101501465, 'ml', 3), ('optuna/optuna', 0.5508047938346863, 'ml', 1), ('firmai/industry-machine-learning', 0.5466862320899963, 'study', 0), ('ml-tooling/opyrator', 0.546398937702179, 'viz', 0), ('huggingface/evaluate', 0.5426995158195496, 'ml', 0), ('wandb/client', 0.5397332906723022, 'ml', 3), ('teamhg-memex/eli5', 0.5375847220420837, 'ml', 1), ('csinva/imodels', 0.5375404953956604, 'ml', 1), ('mlflow/mlflow', 0.5365729928016663, 'ml-ops', 0), ('alpa-projects/alpa', 0.535767674446106, 'ml-dl', 0), ('ageron/handson-ml2', 0.531454861164093, 'ml', 0), ('mosaicml/composer', 0.5304707288742065, 'ml-dl', 0), ('eugeneyan/testing-ml', 0.528367280960083, 'testing', 0), ('huggingface/datasets', 0.5262554883956909, 'nlp', 0), ('online-ml/river', 0.5197332501411438, 'ml', 0), ('kubeflow/pipelines', 0.5186381936073303, 'ml-ops', 0), ('ddbourgin/numpy-ml', 0.5156731605529785, 'ml', 0), ('kubeflow/katib', 0.5148612260818481, 'ml', 0), ('tensorflow/tensorflow', 0.5126420259475708, 'ml-dl', 0), ('alirezadir/machine-learning-interview-enlightener', 0.5101978778839111, 'study', 0), ('rasbt/mlxtend', 0.5089040994644165, 'ml', 0), ('dask/dask-ml', 0.5055193305015564, 'ml', 0), ('google-research/google-research', 0.5043892860412598, 'ml', 0), ('ray-project/ray', 0.5039158463478088, 'ml-ops', 3), ('ourownstory/neural_prophet', 0.5033456683158875, 'ml', 0), ('tensorflow/data-validation', 0.5028933882713318, 'ml-ops', 0), ('unionai-oss/unionml', 0.5017037987709045, 'ml-ops', 0)]

88

7

null

0.02

32

12

104

9

1

4

1

32

50

90

1.6

48

594

gis

https://github.com/domlysz/blendergis

[]

null

[]

null

domlysz/blendergis

BlenderGIS

6,989

1,302

257

Python

null

Blender addons to make the bridge between Blender and geographic data

domlysz

2024-01-13

2014-05-08

507

13.765616

null

Blender addons to make the bridge between Blender and geographic data

['3d', '3d-map', '3dgis', 'addon', 'basemap', 'blender', 'delaunay-triangulation', 'dem', 'geodata', 'georeferencing', 'geospatial', 'gis', 'importexport', 'map', 'openstreetmap', 'raster', 'shapefile', 'terrain-model']

2024-01-08

[('raphaelquast/eomaps', 0.5599436163902283, 'gis', 2), ('darribas/gds_env', 0.5147411823272705, 'gis', 0), ('isl-org/open3d', 0.5055702924728394, 'sim', 1)]

15

3

null

0.02

49

9

118

0

2

49

81

90

1.7

48

637

util

https://github.com/theskumar/python-dotenv

[]

null

[]

null

theskumar/python-dotenv

python-dotenv

6,790

434

34

Python

https://saurabh-kumar.com/python-dotenv/

Reads key-value pairs from a .env file and can set them as environment variables. It helps in developing applications following the 12-factor principles.

theskumar

2024-01-14

2014-09-06

490

13.845033

null

Reads key-value pairs from a .env file and can set them as environment variables. It helps in developing applications following the 12-factor principles.

['12-factor-app', 'configuration', 'devops-tools', 'dotenv', 'env', 'environment-variables']

2023-07-07

[]

93

6

null

0.17

17

9

114

6

2

5

2

17

34

90

2

48

223

nlp

https://github.com/kingoflolz/mesh-transformer-jax

[]

null

[]

1

null

kingoflolz/mesh-transformer-jax

mesh-transformer-jax

6,165

897

109

Python

null

Model parallel transformers in JAX and Haiku

kingoflolz

2024-01-13

2021-03-13

150

40.982906

null

Model parallel transformers in JAX and Haiku

[]

2023-01-12

[('huggingface/transformers', 0.5089766979217529, 'nlp', 0)]

23

3

null

0

7

0

35

12

0

7

18

90

2.6

48

437

perf

https://github.com/mher/flower

[]

null

[]

null

mher/flower

flower

6,007

1,046

143

Python

https://flower.readthedocs.io

Real-time monitor and web admin for Celery distributed task queue

mher

2024-01-14

2012-07-08

603

9.957139

null

Real-time monitor and web admin for Celery distributed task queue

['administration', 'asynchronous', 'celery', 'monitoring', 'rabbitmq', 'redis', 'task-queue', 'workers']

2023-12-17

[('celery/celery', 0.6660754680633545, 'perf', 1), ('bogdanp/dramatiq', 0.5586143732070923, 'util', 1), ('samuelcolvin/arq', 0.5143932104110718, 'data', 1), ('sumerc/yappi', 0.5045316219329834, 'profiling', 1), ('airtai/faststream', 0.5014379620552063, 'perf', 2)]

211

6

null

1.08

29

11

140

1

0

2

29

26

90

0.9

48

1,387

security

https://github.com/nccgroup/scoutsuite

[]

null

[]

null

nccgroup/scoutsuite

ScoutSuite

5,923

980

125

Python

null

Multi-Cloud Security Auditing Tool

nccgroup

2024-01-13

2018-10-30

274

21.616788

https://avatars.githubusercontent.com/u/4067082?v=4

Multi-Cloud Security Auditing Tool

['auditing', 'aws', 'azure', 'cloud', 'gcp', 'security']

2023-09-22

[('jorgebastida/awslogs', 0.5164755582809448, 'util', 0)]

119

3

null

0.81

27

3

63

4

3

13

3

27

18

90

0.7

48

566

util

https://github.com/jd/tenacity

[]

null

[]

1

null

jd/tenacity

tenacity

5,616

285

48

Python

http://tenacity.readthedocs.io

Retrying library for Python

jd

2024-01-14

2016-08-11

389

14.410557

null

Retrying library for Python

['failure', 'retry', 'retry-library']

2023-12-18

[]

87

3

null

0.56

17

8

90

1

0

9

17

12

90

0.7

48

600

jupyter

https://github.com/connorferster/handcalcs

[]

null

[]

null

connorferster/handcalcs

handcalcs

5,300

444

84

CSS

null

Python library for converting Python calculations into rendered latex.

connorferster

2024-01-12

2020-02-19

205

25.74601

null

Python library for converting Python calculations into rendered latex.

[]

2023-11-12

[('google/latexify_py', 0.7623890042304993, 'util', 0), ('pytoolz/toolz', 0.6247959733009338, 'util', 0), ('pypy/pypy', 0.5907471179962158, 'util', 0), ('fredrik-johansson/mpmath', 0.5756496787071228, 'math', 0), ('pyscf/pyscf', 0.5601664185523987, 'sim', 0), ('sympy/sympy', 0.5598889589309692, 'math', 0), ('pyston/pyston', 0.5578861832618713, 'util', 0), ('wtforms/wtforms', 0.5505093336105347, 'web', 0), ('eleutherai/pyfra', 0.5502340793609619, 'ml', 0), ('zoomeranalytics/xlwings', 0.5488008856773376, 'data', 0), ('python/cpython', 0.5454192161560059, 'util', 0), ('julienpalard/pipe', 0.5392968058586121, 'util', 0), ('pmorissette/ffn', 0.5378669500350952, 'finance', 0), ('numpy/numpy', 0.5350318551063538, 'math', 0), ('imageio/imageio', 0.5331127047538757, 'util', 0), ('altair-viz/altair', 0.531620442867279, 'viz', 0), ('google/yapf', 0.5293661952018738, 'util', 0), ('hhatto/autopep8', 0.5234463810920715, 'util', 0), ('maartenbreddels/ipyvolume', 0.5224195122718811, 'jupyter', 0), ('pyglet/pyglet', 0.5195719003677368, 'gamedev', 0), ('jmcnamara/xlsxwriter', 0.5153928399085999, 'data', 0), ('r0x0r/pywebview', 0.5135572552680969, 'gui', 0), ('gbeced/pyalgotrade', 0.5120189189910889, 'finance', 0), ('beeware/briefcase', 0.5107748508453369, 'util', 0), ('webpy/webpy', 0.5106810331344604, 'web', 0), ('sqlalchemy/mako', 0.5080623626708984, 'template', 0), ('hgrecco/pint', 0.506892740726471, 'util', 0), ('cython/cython', 0.5067312121391296, 'util', 0), ('google/jax', 0.5066884160041809, 'ml', 0), ('dfki-ric/pytransform3d', 0.5065004229545593, 'math', 0), ('urwid/urwid', 0.5055436491966248, 'term', 0), ('python-markdown/markdown', 0.5013054609298706, 'util', 0), ('pyfpdf/fpdf2', 0.5012051463127136, 'util', 0), ('pympler/pympler', 0.5004320740699768, 'perf', 0)]

11

5

null

0.04

9

0

48

2

0

2

9

14

90

1.6

48

1,868

util

https://github.com/pdfminer/pdfminer.six

[]

null

[]

null

pdfminer/pdfminer.six

pdfminer.six

5,083

863

121

Python

https://pdfminersix.readthedocs.io

Community maintained fork of pdfminer - we fathom PDF

pdfminer

2024-01-13

2014-08-29

491

10.340308

https://avatars.githubusercontent.com/u/22586632?v=4

Community maintained fork of pdfminer - we fathom PDF

['parser', 'pdf']

2024-01-12

[('py-pdf/pypdf2', 0.5491688847541809, 'util', 1), ('pyfpdf/fpdf2', 0.5335804224014282, 'util', 1), ('allenai/s2orc-doc2json', 0.5287355184555054, 'nlp', 0), ('unstructured-io/pipeline-paddleocr', 0.5148302316665649, 'data', 1)]

137

4

null

0.35

62

37

114

0

1

2

1

62

74

90

1.2

48

102

ml

https://github.com/rasbt/mlxtend

[]

null

[]

null

rasbt/mlxtend

mlxtend

4,676

839

117

Python

https://rasbt.github.io/mlxtend/

A library of extension and helper modules for Python's data analysis and machine learning libraries.

rasbt

2024-01-13

2014-08-14

493

9.471065

null

A library of extension and helper modules for Python's data analysis and machine learning libraries.

['association-rules', 'data-mining', 'data-science', 'machine-learning', 'supervised-learning', 'unsupervised-learning']

2024-01-05

[('scikit-learn/scikit-learn', 0.7584848403930664, 'ml', 2), ('pycaret/pycaret', 0.7207165956497192, 'ml', 2), ('featurelabs/featuretools', 0.6914775371551514, 'ml', 2), ('tensorflow/data-validation', 0.6768656373023987, 'ml-ops', 0), ('gradio-app/gradio', 0.6547028422355652, 'viz', 2), ('scikit-learn-contrib/imbalanced-learn', 0.651149570941925, 'ml', 2), ('pandas-dev/pandas', 0.6480407118797302, 'pandas', 1), ('clips/pattern', 0.6350256204605103, 'nlp', 1), ('alkaline-ml/pmdarima', 0.6218876838684082, 'time-series', 1), ('jovianml/opendatasets', 0.6177619695663452, 'data', 2), ('huggingface/evaluate', 0.6174339056015015, 'ml', 1), ('krzjoa/awesome-python-data-science', 0.610371470451355, 'study', 2), ('dylanhogg/awesome-python', 0.6053752899169922, 'study', 2), ('yzhao062/pyod', 0.6038527488708496, 'data', 4), ('lightly-ai/lightly', 0.6017403602600098, 'ml', 1), ('pytoolz/toolz', 0.6010292172431946, 'util', 0), ('scikit-learn-contrib/metric-learn', 0.6002252101898193, 'ml', 1), ('ta-lib/ta-lib-python', 0.5990067720413208, 'finance', 0), ('wesm/pydata-book', 0.5947810411453247, 'study', 0), ('google/temporian', 0.58907151222229, 'time-series', 0), ('epistasislab/tpot', 0.5866554379463196, 'ml', 2), ('pyeve/cerberus', 0.5806938409805298, 'data', 0), ('firmai/industry-machine-learning', 0.5761663913726807, 'study', 2), ('probml/pyprobml', 0.5730016827583313, 'ml', 1), ('mljar/mljar-supervised', 0.5722818374633789, 'ml', 2), ('online-ml/river', 0.5713738799095154, 'ml', 2), ('mdbloice/augmentor', 0.5698684453964233, 'ml', 1), ('nicolashug/surprise', 0.5660281777381897, 'ml', 1), ('polyaxon/datatile', 0.5656301975250244, 'pandas', 1), ('ageron/handson-ml2', 0.564663290977478, 'ml', 0), ('districtdatalabs/yellowbrick', 0.5595728754997253, 'ml', 1), ('eleutherai/pyfra', 0.5588405728340149, 'ml', 0), ('scikit-learn-contrib/lightning', 0.5572295188903809, 'ml', 1), ('tdameritrade/stumpy', 0.5554875135421753, 'time-series', 1), ('merantix-momentum/squirrel-core', 0.5547300577163696, 'ml', 2), ('teamhg-memex/eli5', 0.553990364074707, 'ml', 2), ('sktime/sktime', 0.5530063509941101, 'time-series', 3), ('firmai/atspy', 0.5510342121124268, 'time-series', 0), ('ggerganov/ggml', 0.5479773283004761, 'ml', 1), ('sentinel-hub/eo-learn', 0.5460903644561768, 'gis', 1), ('pemistahl/lingua-py', 0.5422750115394592, 'nlp', 0), ('selfexplainml/piml-toolbox', 0.5372369885444641, 'ml-interpretability', 0), ('unit8co/darts', 0.5370567440986633, 'time-series', 2), ('microsoft/flaml', 0.5349463224411011, 'ml', 2), ('rasbt/machine-learning-book', 0.5330138206481934, 'study', 1), ('gerdm/prml', 0.5303501486778259, 'study', 1), ('dagworks-inc/hamilton', 0.5286049842834473, 'ml-ops', 2), ('carla-recourse/carla', 0.5272185802459717, 'ml', 1), ('goldmansachs/gs-quant', 0.5270822644233704, 'finance', 0), ('pyutils/line_profiler', 0.5252503156661987, 'profiling', 0), ('catboost/catboost', 0.5251424908638, 'ml', 3), ('patchy631/machine-learning', 0.5243169665336609, 'ml', 0), ('scikit-mobility/scikit-mobility', 0.5235726833343506, 'gis', 1), ('sympy/sympy', 0.5225716829299927, 'math', 0), ('statsmodels/statsmodels', 0.5218582153320312, 'ml', 1), ('quantecon/quantecon.py', 0.5213393568992615, 'sim', 0), ('altair-viz/altair', 0.5204195976257324, 'viz', 0), ('ddbourgin/numpy-ml', 0.5202142000198364, 'ml', 1), ('mckinsey/causalnex', 0.5194756984710693, 'math', 2), ('pysal/pysal', 0.5194495320320129, 'gis', 0), ('huggingface/datasets', 0.5176108479499817, 'nlp', 1), ('csinva/imodels', 0.5165061354637146, 'ml', 3), ('xrudelis/pytrait', 0.5159803628921509, 'util', 0), ('pythonspeed/filprofiler', 0.5145261883735657, 'profiling', 0), ('kubeflow/fairing', 0.5129528045654297, 'ml-ops', 0), ('unionai-oss/pandera', 0.5126389265060425, 'pandas', 0), ('tensorly/tensorly', 0.5090686082839966, 'ml-dl', 1), ('automl/auto-sklearn', 0.5089040994644165, 'ml', 0), ('jakevdp/pythondatasciencehandbook', 0.5061179399490356, 'study', 0), ('uberi/speech_recognition', 0.5056686401367188, 'ml', 0), ('stan-dev/pystan', 0.5054618716239929, 'ml', 0), ('sloria/textblob', 0.5048877596855164, 'nlp', 0), ('marcomusy/vedo', 0.5048307180404663, 'viz', 0), ('keon/algorithms', 0.5041128993034363, 'util', 0), ('scitools/iris', 0.5022916793823242, 'gis', 0), ('weecology/deepforest', 0.5020350217819214, 'gis', 0), ('guyallard/markov_clustering', 0.5017951130867004, 'graph', 0), ('skorch-dev/skorch', 0.5017459988594055, 'ml-dl', 1), ('pyparsing/pyparsing', 0.5005236864089966, 'util', 0), ('scipy/scipy', 0.5000782012939453, 'math', 0)]

103

5

null

1.08

7

4

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0

3

7

11

90

1.6

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1,813

study

https://github.com/mrdbourke/tensorflow-deep-learning

[]

null

[]

null

mrdbourke/tensorflow-deep-learning

tensorflow-deep-learning

4,631

2,271

149

Jupyter Notebook

https://dbourke.link/ZTMTFcourse

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

mrdbourke

2024-01-13

2020-11-23

166

27.873603

null

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

['curriculum', 'deep-learning', 'deep-neural-networks', 'tensorflow', 'tensorflow-course', 'tensorflow-tutorials', 'tensorflow2']

2023-11-09

[('mrdbourke/zero-to-mastery-ml', 0.7862590551376343, 'study', 1), ('mrdbourke/pytorch-deep-learning', 0.7342724800109863, 'study', 1), ('amanchadha/coursera-deep-learning-specialization', 0.592336118221283, 'study', 1), ('tensorlayer/tensorlayer', 0.576848566532135, 'ml-rl', 3), ('d2l-ai/d2l-en', 0.5674564242362976, 'study', 2), ('udacity/deep-learning-v2-pytorch', 0.5660417079925537, 'study', 1), ('tensorly/tensorly', 0.5285704731941223, 'ml-dl', 1), ('christoschristofidis/awesome-deep-learning', 0.5140354037284851, 'study', 1), ('keras-team/keras', 0.5046241283416748, 'ml-dl', 2), ('google/tf-quant-finance', 0.5032038688659668, 'finance', 1), ('keras-rl/keras-rl', 0.5023423433303833, 'ml-rl', 1), ('nyandwi/modernconvnets', 0.5007387399673462, 'ml-dl', 1)]

27

3

null

0.73

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0

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0

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90

2.1

48

1,626

typing

https://github.com/instagram/monkeytype

['static', 'annotation', 'runtime', 'code-quality']

null

[]

1

null

instagram/monkeytype

MonkeyType

4,445

168

54

Python

null

A Python library that generates static type annotations by collecting runtime types

instagram

2024-01-13

2017-07-11

342

12.997076

https://avatars.githubusercontent.com/u/549085?v=4

A Python library that generates static type annotations by collecting runtime types

[]

['annotation', 'code-quality', 'runtime', 'static']

2024-01-13

[('google/pytype', 0.8035555481910706, 'typing', 1), ('microsoft/pyright', 0.7293500900268555, 'typing', 1), ('python/typeshed', 0.723702609539032, 'typing', 1), ('python/mypy', 0.7129145264625549, 'typing', 1), ('facebook/pyre-check', 0.6643034815788269, 'typing', 1), ('agronholm/typeguard', 0.6599376201629639, 'typing', 1), ('patrick-kidger/torchtyping', 0.6300653219223022, 'typing', 0), ('astral-sh/ruff', 0.6186012029647827, 'util', 1), ('strawberry-graphql/strawberry', 0.6149357557296753, 'web', 0), ('pytoolz/toolz', 0.5914798974990845, 'util', 0), ('psf/black', 0.5771250128746033, 'util', 1), ('landscapeio/prospector', 0.5743587017059326, 'util', 0), ('grantjenks/blue', 0.5733786225318909, 'util', 1), ('crytic/slither', 0.5720254182815552, 'crypto', 0), ('marshmallow-code/marshmallow', 0.5554887056350708, 'util', 0), ('xrudelis/pytrait', 0.5478743314743042, 'util', 0), ('google/latexify_py', 0.5287166237831116, 'util', 0), ('numba/llvmlite', 0.5182361602783203, 'util', 0), ('google/yapf', 0.5119272470474243, 'util', 1), ('rubik/radon', 0.5105746984481812, 'util', 0), ('getpelican/pelican', 0.5085812211036682, 'web', 0), ('instagram/libcst', 0.5069942474365234, 'util', 0), ('pyutils/line_profiler', 0.5013983845710754, 'profiling', 0)]

48

5

null

0.27

18

12

79

0

3

18

19

90

1.1

48

711

data

https://github.com/jazzband/tablib

[]

null

[]

null

jazzband/tablib

tablib

4,426

588

137

Python

https://tablib.readthedocs.io/

Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c.

jazzband

2024-01-13

2011-03-28

670

6.604562

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

Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c.

[]

2024-01-01

[('astanin/python-tabulate', 0.6442596316337585, 'util', 0), ('zoomeranalytics/xlwings', 0.5972012877464294, 'data', 0), ('jmcnamara/xlsxwriter', 0.5911999344825745, 'data', 0), ('wireservice/csvkit', 0.5830636620521545, 'util', 0), ('vaexio/vaex', 0.575348973274231, 'perf', 0), ('saulpw/visidata', 0.5593103170394897, 'term', 0), ('python-odin/odin', 0.5585665106773376, 'util', 0), ('tkrabel/bamboolib', 0.5476372241973877, 'pandas', 0), ('camelot-dev/camelot', 0.5369576811790466, 'util', 0), ('mljar/mljar-supervised', 0.531550407409668, 'ml', 0), ('wesm/pydata-book', 0.5241658687591553, 'study', 0), ('koaning/drawdata', 0.5231077075004578, 'jupyter', 0), ('tiangolo/sqlmodel', 0.5218853950500488, 'data', 0), ('quantopian/qgrid', 0.5186475515365601, 'jupyter', 0), ('sqlalchemy/sqlalchemy', 0.5141265392303467, 'data', 0), ('bloomberg/ipydatagrid', 0.5118611454963684, 'jupyter', 0), ('jakevdp/pythondatasciencehandbook', 0.5034573078155518, 'study', 0), ('scikit-hep/awkward-1.0', 0.5033981800079346, 'data', 0), ('jazzband/prettytable', 0.5020918250083923, 'term', 0)]

125

8

null

0.63

15

14

156

0

2

4

2

15

32

90

2.1

48

786

ml-ops

https://github.com/orchest/orchest

[]

null

[]

null

orchest/orchest

orchest

4,005

253

43

TypeScript

https://orchest.readthedocs.io/en/stable/

Build data pipelines, the easy way 🛠️

orchest

2024-01-14

2020-05-21

192

20.782061

https://avatars.githubusercontent.com/u/62945975?v=4

Build data pipelines, the easy way 🛠️

['airflow', 'cloud', 'dag', 'data-pipelines', 'data-science', 'deployment', 'docker', 'etl', 'etl-pipeline', 'ide', 'jupyter', 'jupyterlab', 'kubernetes', 'machine-learning', 'notebooks', 'orchest', 'pipelines', 'self-hosted']

2023-06-06

[('ploomber/ploomber', 0.862511932849884, 'ml-ops', 5), ('mage-ai/mage-ai', 0.7309496402740479, 'ml-ops', 5), ('airbytehq/airbyte', 0.7260224223136902, 'data', 2), ('bodywork-ml/bodywork-core', 0.6645437479019165, 'ml-ops', 3), ('dagster-io/dagster', 0.6582160592079163, 'ml-ops', 3), ('netflix/metaflow', 0.6532567739486694, 'ml-ops', 3), ('flyteorg/flyte', 0.6491807699203491, 'ml-ops', 3), ('zenml-io/zenml', 0.6482174396514893, 'ml-ops', 3), ('backtick-se/cowait', 0.6478020548820496, 'util', 3), ('kubeflow/pipelines', 0.6418040990829468, 'ml-ops', 3), ('kestra-io/kestra', 0.6342953443527222, 'ml-ops', 1), ('linealabs/lineapy', 0.6248028874397278, 'jupyter', 0), ('avaiga/taipy', 0.6196687817573547, 'data', 1), ('dagworks-inc/hamilton', 0.6139141917228699, 'ml-ops', 5), ('meltano/meltano', 0.6131107211112976, 'ml-ops', 2), ('kubeflow-kale/kale', 0.6008453965187073, 'ml-ops', 1), ('darribas/gds_env', 0.5977623462677002, 'gis', 1), ('polyaxon/polyaxon', 0.5914933681488037, 'ml-ops', 6), ('pypa/pipenv', 0.5898057818412781, 'util', 0), ('getindata/kedro-kubeflow', 0.5747969746589661, 'ml-ops', 0), ('apache/airflow', 0.57388836145401, 'ml-ops', 6), ('simonw/datasette', 0.5611031651496887, 'data', 1), ('allegroai/clearml', 0.5581900477409363, 'ml-ops', 1), ('tiangolo/full-stack-fastapi-postgresql', 0.5576450228691101, 'template', 1), ('hi-primus/optimus', 0.5557096004486084, 'ml-ops', 2), ('jina-ai/jina', 0.5534289479255676, 'ml', 3), ('merantix-momentum/squirrel-core', 0.5455144643783569, 'ml', 2), ('astronomer/astro-sdk', 0.5454973578453064, 'ml-ops', 3), ('gefyrahq/gefyra', 0.5443967580795288, 'util', 2), ('featureform/embeddinghub', 0.5408744215965271, 'nlp', 2), ('eventual-inc/daft', 0.5366385579109192, 'pandas', 2), ('polyaxon/datatile', 0.5361875891685486, 'pandas', 1), ('pytest-dev/pytest-testinfra', 0.5304024815559387, 'testing', 2), ('bentoml/bentoml', 0.52862948179245, 'ml-ops', 2), ('zenml-io/mlstacks', 0.5279688239097595, 'ml-ops', 0), ('skypilot-org/skypilot', 0.5275050401687622, 'llm', 2), ('willmcgugan/textual', 0.526781439781189, 'term', 0), ('whylabs/whylogs', 0.5236711502075195, 'util', 2), ('tox-dev/tox', 0.523241400718689, 'testing', 0), ('pydoit/doit', 0.522449254989624, 'util', 1), ('kubeflow/fairing', 0.5192087292671204, 'ml-ops', 0), ('great-expectations/great_expectations', 0.5189650058746338, 'ml-ops', 1), ('koaning/scikit-partial', 0.5157948732376099, 'data', 0), ('streamlit/streamlit', 0.5133765935897827, 'viz', 2), ('fmind/mlops-python-package', 0.5126034617424011, 'template', 0), ('pypa/hatch', 0.510188639163971, 'util', 0), ('localstack/localstack', 0.5089136362075806, 'util', 1), ('thoth-station/micropipenv', 0.5059201121330261, 'util', 0), ('martinheinz/python-project-blueprint', 0.5042280554771423, 'template', 2), ('prefecthq/server', 0.5037789344787598, 'util', 0), ('spotify/luigi', 0.5029619336128235, 'ml-ops', 0), ('prefecthq/prefect', 0.5009967684745789, 'ml-ops', 1), ('fastai/fastcore', 0.5004292130470276, 'util', 0)]

31

4

null

0.38

2

0

44

7

5

56

5

2

7

90

3.5

48

1,279

viz

https://github.com/pyqtgraph/pyqtgraph

[]

null

[]

null

pyqtgraph/pyqtgraph

pyqtgraph

3,554

1,054

153

Python

https://www.pyqtgraph.org

Fast data visualization and GUI tools for scientific / engineering applications

pyqtgraph

2024-01-14

2013-09-12

541

6.560654

https://avatars.githubusercontent.com/u/5440571?v=4

Fast data visualization and GUI tools for scientific / engineering applications

['numpy', 'qt', 'scientific-visualization', 'visualization']

2023-12-21

[('enthought/mayavi', 0.734231173992157, 'viz', 2), ('holoviz/holoviz', 0.6720275282859802, 'viz', 0), ('altair-viz/altair', 0.6555560827255249, 'viz', 1), ('marcomusy/vedo', 0.6459553241729736, 'viz', 3), ('mwaskom/seaborn', 0.6456829905509949, 'viz', 0), ('numpy/numpy', 0.6338181495666504, 'math', 1), ('matplotlib/matplotlib', 0.6332533955574036, 'viz', 1), ('holoviz/panel', 0.6308204531669617, 'viz', 0), ('scitools/iris', 0.6289077401161194, 'gis', 0), ('man-group/dtale', 0.6243569850921631, 'viz', 1), ('contextlab/hypertools', 0.6197599172592163, 'ml', 1), ('pyvista/pyvista', 0.6187593936920166, 'viz', 2), ('holoviz/hvplot', 0.5959815979003906, 'pandas', 0), ('holoviz/datashader', 0.5956966876983643, 'gis', 0), ('vaexio/vaex', 0.592536449432373, 'perf', 1), ('residentmario/geoplot', 0.5889087915420532, 'gis', 0), ('bokeh/bokeh', 0.5844684839248657, 'viz', 1), ('graphistry/pygraphistry', 0.5679578185081482, 'data', 1), ('kanaries/pygwalker', 0.5670520663261414, 'pandas', 1), ('jakevdp/pythondatasciencehandbook', 0.5645138621330261, 'study', 1), ('blaze/blaze', 0.5560141205787659, 'pandas', 0), ('lux-org/lux', 0.5438263416290283, 'viz', 1), ('gregorhd/mapcompare', 0.5434110760688782, 'gis', 0), ('plotly/plotly.py', 0.5377339720726013, 'viz', 1), ('mckinsey/vizro', 0.5374338626861572, 'viz', 1), ('pandas-dev/pandas', 0.5296177268028259, 'pandas', 0), ('mito-ds/monorepo', 0.5288783311843872, 'jupyter', 0), ('wesm/pydata-book', 0.5280112624168396, 'study', 0), ('beeware/toga', 0.5267707109451294, 'gui', 0), ('xl0/lovely-numpy', 0.5235827565193176, 'util', 2), ('pytables/pytables', 0.5200861692428589, 'data', 0), ('districtdatalabs/yellowbrick', 0.5196901559829712, 'ml', 1), ('alexmojaki/heartrate', 0.5196880102157593, 'debug', 1), ('gradio-app/gradio', 0.5161272287368774, 'viz', 0), ('tqdm/tqdm', 0.5137172341346741, 'term', 0), ('bloomberg/ipydatagrid', 0.5133781433105469, 'jupyter', 0), ('dfki-ric/pytransform3d', 0.5104587078094482, 'math', 1), ('wxwidgets/phoenix', 0.509281575679779, 'gui', 0), ('polyaxon/datatile', 0.5080159902572632, 'pandas', 0), ('plotly/dash', 0.5079091191291809, 'viz', 0), ('quantopian/qgrid', 0.5077592730522156, 'jupyter', 0), ('ipython/ipyparallel', 0.5072664022445679, 'perf', 0), ('hoffstadt/dearpygui', 0.5063014626502991, 'gui', 0), ('earthlab/earthpy', 0.506048321723938, 'gis', 0), ('faster-cpython/tools', 0.5059671998023987, 'perf', 0), ('westhealth/pyvis', 0.5053408741950989, 'graph', 0), ('vizzuhq/ipyvizzu', 0.5050925612449646, 'jupyter', 0), ('fastai/fastcore', 0.5031821727752686, 'util', 0), ('makepath/xarray-spatial', 0.503014862537384, 'gis', 0), ('wandb/client', 0.5011712312698364, 'ml', 0), ('nomic-ai/deepscatter', 0.5000237822532654, 'viz', 1)]

267

5

null

3.69

83

42

126

1

2

3

2

83

140

90

1.7

48

1,060

ml-rl

https://github.com/deepmind/dm_control

[]

null

[]

null

deepmind/dm_control

dm_control

3,414

638

128

Python

null

Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

deepmind

2024-01-13

2017-12-29

317

10.750337

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

Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

['artificial-intelligence', 'deep-learning', 'machine-learning', 'mujoco', 'neural-networks', 'physics-simulation', 'reinforcement-learning']

2024-01-12

[('tensorlayer/tensorlayer', 0.654015064239502, 'ml-rl', 3), ('google/trax', 0.6313595771789551, 'ml-dl', 3), ('unity-technologies/ml-agents', 0.6150110363960266, 'ml-rl', 4), ('openai/mujoco-py', 0.5940796732902527, 'sim', 0), ('tensorflow/tensor2tensor', 0.5927808880805969, 'ml', 3), ('keras-rl/keras-rl', 0.590694010257721, 'ml-rl', 3), ('googlecloudplatform/vertex-ai-samples', 0.569223940372467, 'ml', 0), ('google/dopamine', 0.562454104423523, 'ml-rl', 0), ('salesforce/warp-drive', 0.5524762272834778, 'ml-rl', 2), ('bentoml/bentoml', 0.5436348915100098, 'ml-ops', 2), ('alirezadir/machine-learning-interview-enlightener', 0.5414921641349792, 'study', 2), ('deepmind/deepmind-research', 0.5342397689819336, 'ml', 0), ('ddbourgin/numpy-ml', 0.5336541533470154, 'ml', 3), ('determined-ai/determined', 0.5311621427536011, 'ml-ops', 2), ('thu-ml/tianshou', 0.5307285189628601, 'ml-rl', 1), ('wandb/client', 0.5283645987510681, 'ml', 3), ('polyaxon/polyaxon', 0.5232641100883484, 'ml-ops', 4), ('apache/incubator-mxnet', 0.5190567374229431, 'ml-dl', 0), ('explosion/thinc', 0.5177432894706726, 'ml-dl', 3), ('microsoft/deepspeed', 0.5161496996879578, 'ml-dl', 2), ('keras-team/keras', 0.5160452723503113, 'ml-dl', 3), ('onnx/onnx', 0.5158249139785767, 'ml', 2), ('google/brax', 0.514367938041687, 'sim', 2), ('microsoft/onnxruntime', 0.5139978528022766, 'ml', 3), ('pytorchlightning/pytorch-lightning', 0.5117486715316772, 'ml-dl', 3), ('arise-initiative/robosuite', 0.5112686157226562, 'ml-rl', 2), ('denys88/rl_games', 0.5099033117294312, 'ml-rl', 2), ('tensorflow/tensorflow', 0.5096217393875122, 'ml-dl', 2), ('pytorch/rl', 0.507379412651062, 'ml-rl', 2), ('ai4finance-foundation/finrl', 0.5040066838264465, 'finance', 1), ('facebookresearch/habitat-lab', 0.5033023357391357, 'sim', 2), ('adap/flower', 0.502716064453125, 'ml-ops', 3), ('jina-ai/jina', 0.5015859603881836, 'ml', 2), ('deepmodeling/deepmd-kit', 0.5011904239654541, 'sim', 1)]

41

3

null

1.04

28

17

74

0

7

4

7

27

34

90

1.3

48

1,695

util

https://github.com/asottile/pyupgrade

['pre-commit', 'code-quality']

null

[]

null

asottile/pyupgrade

pyupgrade

3,044

171

35

Python

null

A tool (and pre-commit hook) to automatically upgrade syntax for newer versions of the language.

asottile

2024-01-12

2017-02-28

361

8.432133

null

A tool (and pre-commit hook) to automatically upgrade syntax for newer versions of the language.

['linter', 'pre-commit']

['code-quality', 'linter', 'pre-commit']

2024-01-08

[('pre-commit/pre-commit', 0.6998698115348816, 'util', 3), ('callowayproject/bump-my-version', 0.5788130760192871, 'util', 1), ('psf/black', 0.5597057342529297, 'util', 1), ('thudm/codegeex', 0.5523767471313477, 'llm', 0)]

35

4

null

1.52

23

19

84

0

24

23

36

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1.6

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1,773

jupyter

https://github.com/jupyter-widgets/ipywidgets

[]

null

[]

null

jupyter-widgets/ipywidgets

ipywidgets

2,976

942

76

TypeScript

https://ipywidgets.readthedocs.io

Interactive Widgets for the Jupyter Notebook

jupyter-widgets

2024-01-13

2015-04-17

458

6.48972

https://avatars.githubusercontent.com/u/25869250?v=4

Interactive Widgets for the Jupyter Notebook

['jupyter-notebooks', 'jupyterlab-extension']

2023-12-19

[('jupyter/notebook', 0.8538753390312195, 'jupyter', 0), ('voila-dashboards/voila', 0.7114137411117554, 'jupyter', 1), ('jupyterlab/jupyterlab-desktop', 0.7082852721214294, 'jupyter', 0), ('jupyter/nbformat', 0.7056740522384644, 'jupyter', 0), ('aws/graph-notebook', 0.687077522277832, 'jupyter', 0), ('bloomberg/ipydatagrid', 0.6741766929626465, 'jupyter', 2), ('vizzuhq/ipyvizzu', 0.6638791561126709, 'jupyter', 0), ('mwouts/jupytext', 0.6579967737197876, 'jupyter', 1), ('maartenbreddels/ipyvolume', 0.6541346311569214, 'jupyter', 0), ('jupyter-widgets/ipyleaflet', 0.6435815095901489, 'gis', 1), ('cohere-ai/notebooks', 0.6400914192199707, 'llm', 0), ('xiaohk/stickyland', 0.6346691250801086, 'jupyter', 1), ('mamba-org/gator', 0.6345846056938171, 'jupyter', 1), ('quantopian/qgrid', 0.6274958848953247, 'jupyter', 0), ('giswqs/mapwidget', 0.6259199976921082, 'gis', 0), ('computationalmodelling/nbval', 0.6210037469863892, 'jupyter', 0), ('jupyterlab/jupyterlab', 0.6188204884529114, 'jupyter', 0), ('chaoleili/jupyterlab_tensorboard', 0.6089569330215454, 'jupyter', 1), ('jupyter/nbconvert', 0.6067924499511719, 'jupyter', 0), ('ipython/ipykernel', 0.6043174862861633, 'util', 0), ('ipython/ipyparallel', 0.5989540219306946, 'perf', 0), ('jupyter-lsp/jupyterlab-lsp', 0.5988917946815491, 'jupyter', 1), ('tkrabel/bamboolib', 0.5929217338562012, 'pandas', 0), ('jupyterlite/jupyterlite', 0.5854482650756836, 'jupyter', 1), ('jupyter/nbdime', 0.5793547034263611, 'jupyter', 1), ('jakevdp/pythondatasciencehandbook', 0.5679361820220947, 'study', 0), ('jupyter/nbviewer', 0.5482261180877686, 'jupyter', 0), ('fchollet/deep-learning-with-python-notebooks', 0.5422195792198181, 'study', 0), ('koaning/drawdata', 0.5359898805618286, 'jupyter', 0), ('pysimplegui/pysimplegui', 0.5297706127166748, 'gui', 0), ('jupyter/nbgrader', 0.5242305397987366, 'jupyter', 0), ('wxwidgets/phoenix', 0.5223656296730042, 'gui', 0), ('nteract/testbook', 0.5169227719306946, 'jupyter', 0), ('bokeh/bokeh', 0.5115343928337097, 'viz', 0), ('plotly/plotly.py', 0.5096937417984009, 'viz', 0), ('nteract/papermill', 0.5082428455352783, 'jupyter', 0), ('ageron/handson-ml2', 0.5040411949157715, 'ml', 0), ('jupyterlab/jupyter-ai', 0.5035024285316467, 'jupyter', 1)]

212

9

null

1.75

61

5

106

1

5

143

5

61

62

90

1

48

577

ml-dl

https://github.com/alpa-projects/alpa

[]

null

[]

null

alpa-projects/alpa

alpa

2,921

343

46

Python

https://alpa.ai

Training and serving large-scale neural networks with auto parallelization.

alpa-projects

2024-01-14

2021-02-22

153

19.073694

https://avatars.githubusercontent.com/u/82711759?v=4

Training and serving large-scale neural networks with auto parallelization.

['alpa', 'auto-parallelization', 'compiler', 'deep-learning', 'distributed-computing', 'distributed-training', 'high-performance-computing', 'jax', 'llm', 'machine-learning']

2023-12-09

[('paddlepaddle/paddle', 0.7082504034042358, 'ml-dl', 3), ('horovod/horovod', 0.6610665321350098, 'ml-ops', 2), ('microsoft/nni', 0.6484193205833435, 'ml', 2), ('keras-team/autokeras', 0.6452708840370178, 'ml-dl', 2), ('ray-project/ray', 0.6443263292312622, 'ml-ops', 2), ('microsoft/onnxruntime', 0.6340340971946716, 'ml', 2), ('onnx/onnx', 0.6325767636299133, 'ml', 2), ('bigscience-workshop/petals', 0.6318992972373962, 'data', 2), ('hpcaitech/colossalai', 0.6304028034210205, 'llm', 2), ('tensorflow/tensorflow', 0.6228885650634766, 'ml-dl', 2), ('deepmind/dm-haiku', 0.6117678284645081, 'ml-dl', 3), ('keras-team/keras', 0.6106972098350525, 'ml-dl', 3), ('pytorch/glow', 0.6077716946601868, 'ml', 0), ('neuralmagic/deepsparse', 0.6077420711517334, 'nlp', 0), ('microsoft/deepspeed', 0.6055509448051453, 'ml-dl', 2), ('explosion/thinc', 0.5971328020095825, 'ml-dl', 3), ('apache/incubator-mxnet', 0.5928085446357727, 'ml-dl', 0), ('uber/fiber', 0.5923050045967102, 'data', 2), ('google/trax', 0.5918993949890137, 'ml-dl', 3), ('aiqc/aiqc', 0.5878965854644775, 'ml-ops', 0), ('mosaicml/composer', 0.5876685976982117, 'ml-dl', 2), ('bentoml/bentoml', 0.5799961686134338, 'ml-ops', 2), ('awslabs/autogluon', 0.5790343284606934, 'ml', 2), ('huggingface/transformers', 0.57871413230896, 'nlp', 3), ('winedarksea/autots', 0.5752678513526917, 'time-series', 2), ('determined-ai/determined', 0.571927547454834, 'ml-ops', 3), ('nvidia/deeplearningexamples', 0.5713871717453003, 'ml-dl', 1), ('pytorchlightning/pytorch-lightning', 0.5670627951622009, 'ml-dl', 2), ('nccr-itmo/fedot', 0.5670198202133179, 'ml-ops', 1), ('ludwig-ai/ludwig', 0.5621179938316345, 'ml-ops', 3), ('karpathy/micrograd', 0.5604699850082397, 'study', 0), ('neuralmagic/sparseml', 0.560257613658905, 'ml-dl', 0), ('microsoft/flaml', 0.5595440864562988, 'ml', 2), ('ml-tooling/opyrator', 0.5594131350517273, 'viz', 1), ('googlecloudplatform/vertex-ai-samples', 0.5572735667228699, 'ml', 0), ('opentensor/bittensor', 0.556601345539093, 'ml', 2), ('tensorflow/tensor2tensor', 0.5523074865341187, 'ml', 2), ('mlc-ai/mlc-llm', 0.5512301921844482, 'llm', 1), ('ray-project/ray-educational-materials', 0.5506226420402527, 'study', 2), ('polyaxon/polyaxon', 0.5499585866928101, 'ml-ops', 2), ('jina-ai/jina', 0.5415318012237549, 'ml', 2), ('huggingface/autotrain-advanced', 0.5402303338050842, 'ml', 2), ('huggingface/datasets', 0.5375392436981201, 'nlp', 2), ('automl/auto-sklearn', 0.535767674446106, 'ml', 0), ('deepfakes/faceswap', 0.5312798619270325, 'ml-dl', 2), ('uber/petastorm', 0.5310642719268799, 'data', 2), ('adap/flower', 0.5309455990791321, 'ml-ops', 2), ('skypilot-org/skypilot', 0.5307222008705139, 'llm', 3), ('titanml/takeoff', 0.5302854776382446, 'llm', 1), ('mlflow/mlflow', 0.52925705909729, 'ml-ops', 1), ('tlkh/tf-metal-experiments', 0.5292550921440125, 'perf', 1), ('optuna/optuna', 0.5211974382400513, 'ml', 1), ('amanchadha/coursera-deep-learning-specialization', 0.5197420120239258, 'study', 1), ('keras-rl/keras-rl', 0.5167292356491089, 'ml-rl', 1), ('ddbourgin/numpy-ml', 0.5153135657310486, 'ml', 1), ('rafiqhasan/auto-tensorflow', 0.5152245759963989, 'ml-dl', 1), ('google/mediapipe', 0.5148690938949585, 'ml', 2), ('iperov/deepfacelab', 0.511199414730072, 'ml-dl', 2), ('samuela/git-re-basin', 0.507290780544281, 'ml-dl', 3), ('rwightman/pytorch-image-models', 0.507267415523529, 'ml-dl', 1), ('microsoft/semi-supervised-learning', 0.5067688822746277, 'ml', 2), ('unionai-oss/unionml', 0.50523841381073, 'ml-ops', 1), ('nyandwi/modernconvnets', 0.5051084160804749, 'ml-dl', 0), ('tensorlayer/tensorlayer', 0.5041244029998779, 'ml-rl', 1), ('xplainable/xplainable', 0.5035876035690308, 'ml-interpretability', 1), ('bobazooba/xllm', 0.5013929605484009, 'llm', 2), ('towhee-io/towhee', 0.5001883506774902, 'ml-ops', 2)]

45

6

null

0.67

28

6

35

1

5

1

28

26

90

0.9

48

702

ml

https://github.com/mljar/mljar-supervised

[]

null

[]

null

mljar/mljar-supervised

mljar-supervised

2,858

372

45

Python

https://mljar.com

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

mljar

2024-01-13

2018-11-05

273

10.463389

https://avatars.githubusercontent.com/u/20522384?v=4

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

['automated-machine-learning', 'automatic-machine-learning', 'automl', 'catboost', 'data-science', 'decision-tree', 'ensemble', 'feature-engineering', 'hyper-parameters', 'hyperparameter-optimization', 'lightgbm', 'machine-learning', 'mljar', 'models-tuning', 'neural-network', 'random-forest', 'scikit-learn', 'shap', 'tuning-algorithm', 'xgboost']

2024-01-08

[('microsoft/flaml', 0.7940219044685364, 'ml', 7), ('awslabs/autogluon', 0.7640585899353027, 'ml', 6), ('microsoft/nni', 0.6952623724937439, 'ml', 7), ('automl/auto-sklearn', 0.6622180938720703, 'ml', 4), ('keras-team/autokeras', 0.6605311036109924, 'ml-dl', 3), ('featurelabs/featuretools', 0.645880401134491, 'ml', 6), ('epistasislab/tpot', 0.6145864129066467, 'ml', 8), ('winedarksea/autots', 0.578948438167572, 'time-series', 3), ('nccr-itmo/fedot', 0.5752649307250977, 'ml-ops', 4), ('rasbt/mlxtend', 0.5722818374633789, 'ml', 2), ('google/pyglove', 0.5717796683311462, 'util', 2), ('ray-project/tune-sklearn', 0.5580164194107056, 'ml', 2), ('shankarpandala/lazypredict', 0.5433629155158997, 'ml', 2), ('vaexio/vaex', 0.5394431352615356, 'perf', 2), ('gradio-app/gradio', 0.5382276773452759, 'viz', 2), ('jazzband/tablib', 0.531550407409668, 'data', 0), ('firmai/atspy', 0.5243828296661377, 'time-series', 0), ('paperswithcode/axcell', 0.5180116891860962, 'util', 0), ('dylanhogg/awesome-python', 0.5141728520393372, 'study', 2), ('alkaline-ml/pmdarima', 0.509310781955719, 'time-series', 1), ('google/vizier', 0.5090547204017639, 'ml', 2), ('selfexplainml/piml-toolbox', 0.5052536129951477, 'ml-interpretability', 0), ('ydataai/ydata-synthetic', 0.5016704797744751, 'data', 1), ('astanin/python-tabulate', 0.5009972453117371, 'util', 0)]

25

3

null

2.15

37

11

63

0

6

11

6

37

68

90

1.8

48