dylanhogg/awesome-python · Datasets at Hugging Face

720

web

https://github.com/rstudio/py-shiny

[]

null

[]

null

rstudio/py-shiny

py-shiny

817

49

29

Python

https://shiny.posit.co/py/

Shiny for Python

rstudio

2024-01-13

2021-07-27

131

6.236641

https://avatars.githubusercontent.com/u/107264312?v=4

Shiny for Python

[]

2024-01-12

[('python/cpython', 0.536689817905426, 'util', 0), ('holoviz/panel', 0.5275716781616211, 'viz', 0), ('plotly/dash', 0.5270806550979614, 'viz', 0), ('pypy/pypy', 0.5167948603630066, 'util', 0), ('hoffstadt/dearpygui', 0.5147618651390076, 'gui', 0), ('eleutherai/pyfra', 0.5123597979545593, 'ml', 0)]

18

4

null

7.56

272

164

30

0

11

9

11

272

269

90

1

46

343

data

https://github.com/scikit-hep/awkward-1.0

[]

null

[]

null

scikit-hep/awkward-1.0

awkward

770

77

21

Python

https://awkward-array.org

Manipulate JSON-like data with NumPy-like idioms.

scikit-hep

2024-01-14

2019-08-14

232

3.306748

https://avatars.githubusercontent.com/u/23454624?v=4

Manipulate JSON-like data with NumPy-like idioms.

['apache-arrow', 'cern-root', 'columnar-format', 'data-analysis', 'jagged-array', 'json', 'numba', 'numpy', 'pandas', 'ragged-array', 'rdataframe', 'scikit-hep']

2024-01-12

[('apache/arrow', 0.559539258480072, 'data', 3), ('vaexio/vaex', 0.5477538704872131, 'perf', 0), ('man-group/dtale', 0.5412405729293823, 'viz', 2), ('kellyjonbrazil/jello', 0.5297543406486511, 'util', 1), ('brokenloop/jsontopydantic', 0.5177565813064575, 'util', 0), ('pandas-dev/pandas', 0.5098268389701843, 'pandas', 2), ('jazzband/tablib', 0.5033981800079346, 'data', 0), ('jsonpickle/jsonpickle', 0.500355064868927, 'data', 1)]

40

4

null

9.77

197

165

54

0

36

62

36

196

380

90

1.9

46

881

gis

https://github.com/osgeo/grass

[]

null

[]

null

osgeo/grass

grass

720

255

43

C

https://grass.osgeo.org

GRASS GIS - free and open-source geospatial processing engine

osgeo

2024-01-13

2019-05-17

245

2.931937

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

GRASS GIS - free and open-source geospatial processing engine

['arrays', 'data-science', 'earth-observation', 'geospatial', 'geospatial-analysis', 'gis', 'grass-gis', 'image-processing', 'jupyter', 'machine-learning', 'open-science', 'parallel-computing', 'raster', 'remote-sensing', 'science', 'spatial', 'timeseries-analysis', 'vector']

2024-01-14

[('remotesensinglab/raster4ml', 0.6746719479560852, 'gis', 3), ('fatiando/verde', 0.6331599950790405, 'gis', 2), ('microsoft/torchgeo', 0.6095272302627563, 'gis', 3), ('earthlab/earthpy', 0.5645433068275452, 'gis', 2), ('osgeo/gdal', 0.5594460368156433, 'gis', 3), ('giswqs/geemap', 0.5491253137588501, 'gis', 6), ('apache/incubator-sedona', 0.5388128757476807, 'gis', 1), ('opengeos/segment-geospatial', 0.5276463627815247, 'gis', 2), ('opengeos/leafmap', 0.5151031017303467, 'gis', 5), ('r-barnes/richdem', 0.5100005269050598, 'gis', 1), ('determined-ai/determined', 0.5073267817497253, 'ml-ops', 2), ('perrygeo/python-rasterstats', 0.5056399703025818, 'gis', 0), ('darribas/gds_env', 0.502344012260437, 'gis', 0)]

107

6

null

8.48

316

166

57

0

6

30

6

317

588

90

1.9

46

1,409

math

https://github.com/lean-dojo/leandojo

[]

null

[]

null

lean-dojo/leandojo

LeanDojo

389

45

13

Python

https://leandojo.org

Tool for data extraction and interacting with Lean programmatically.

lean-dojo

2024-01-14

2023-06-13

33

11.787879

https://avatars.githubusercontent.com/u/136513911?v=4

Tool for data extraction and interacting with Lean programmatically.

['lean', 'lean4', 'machine-learning', 'theorem-proving']

2024-01-10

[('lean-dojo/reprover', 0.6379106640815735, 'math', 3), ('intake/intake', 0.5443071722984314, 'data', 0), ('paperswithcode/axcell', 0.5234335660934448, 'util', 0), ('linealabs/lineapy', 0.5060582756996155, 'jupyter', 0)]

11

5

null

5.35

45

43

7

0

16

28

16

45

33

90

0.7

46

998

finance

https://github.com/quantopian/zipline

[]

null

[]

null

quantopian/zipline

zipline

16,792

4,710

1,000

Python

https://www.zipline.io

Zipline, a Pythonic Algorithmic Trading Library

quantopian

2024-01-14

2012-10-19

588

28.530097

https://avatars.githubusercontent.com/u/1393215?v=4

Zipline, a Pythonic Algorithmic Trading Library

['algorithmic-trading', 'quant', 'zipline']

2020-10-14

[('gbeced/pyalgotrade', 0.8662933707237244, 'finance', 0), ('quantconnect/lean', 0.6676159501075745, 'finance', 0), ('robcarver17/pysystemtrade', 0.6582158803939819, 'finance', 0), ('gbeced/basana', 0.6551344394683838, 'finance', 1), ('ranaroussi/quantstats', 0.5925479531288147, 'finance', 2), ('cuemacro/finmarketpy', 0.5911790132522583, 'finance', 0), ('goldmansachs/gs-quant', 0.5875362753868103, 'finance', 0), ('cuemacro/findatapy', 0.5615792870521545, 'finance', 0), ('mementum/backtrader', 0.5593721866607666, 'finance', 0), ('quantecon/quantecon.py', 0.5450539588928223, 'sim', 0), ('keon/algorithms', 0.5438115000724792, 'util', 0), ('kernc/backtesting.py', 0.540707528591156, 'finance', 1), ('ta-lib/ta-lib-python', 0.5401220321655273, 'finance', 0), ('pmorissette/ffn', 0.5246074199676514, 'finance', 0), ('primal100/pybitcointools', 0.5228780508041382, 'crypto', 0), ('zvtvz/zvt', 0.5200475454330444, 'finance', 2), ('sympy/sympy', 0.5198596119880676, 'math', 0), ('polakowo/vectorbt', 0.519047737121582, 'finance', 1), ('pytoolz/toolz', 0.5173577070236206, 'util', 0), ('erotemic/ubelt', 0.5161089897155762, 'util', 0), ('1200wd/bitcoinlib', 0.5117334723472595, 'crypto', 0), ('hydrosquall/tiingo-python', 0.5056824684143066, 'finance', 0), ('linkedin/shiv', 0.5038162469863892, 'util', 0), ('scipy/scipy', 0.5005958080291748, 'math', 0), ('thealgorithms/python', 0.5000721216201782, 'study', 0)]

160

5

null

0

3

0

137

40

0

2

3

1

90

0.3

45

540

ml

https://github.com/aleju/imgaug

[]

null

[]

null

aleju/imgaug

imgaug

13,972

2,422

232

Python

http://imgaug.readthedocs.io

Image augmentation for machine learning experiments.

aleju

2024-01-12

2015-07-10

446

31.287268

null

Image augmentation for machine learning experiments.

['affine-transformation', 'augment-images', 'augmentation', 'bounding-boxes', 'contrast', 'crop', 'deep-learning', 'heatmap', 'image-augmentation', 'images', 'keypoints', 'machine-learning', 'polygon', 'segmentation-maps']

2020-06-01

[('mdbloice/augmentor', 0.7141932845115662, 'ml', 3), ('albumentations-team/albumentations', 0.6503161787986755, 'ml-dl', 4), ('fepegar/torchio', 0.5931549072265625, 'ml-dl', 3), ('roboflow/supervision', 0.5748479962348938, 'ml', 2), ('facebookresearch/augly', 0.5716978311538696, 'data', 0), ('lutzroeder/netron', 0.5660139322280884, 'ml', 2), ('makcedward/nlpaug', 0.5599479079246521, 'nlp', 2), ('microsoft/torchgeo', 0.5551947355270386, 'gis', 1), ('awslabs/autogluon', 0.5523484349250793, 'ml', 2), ('open-mmlab/mmediting', 0.5496745109558105, 'ml', 1), ('neuralmagic/sparseml', 0.5411894917488098, 'ml-dl', 0), ('huggingface/datasets', 0.5358902812004089, 'nlp', 2), ('rwightman/pytorch-image-models', 0.5356476902961731, 'ml-dl', 0), ('open-mmlab/mmsegmentation', 0.5349984169006348, 'ml', 0), ('onnx/onnx', 0.5340151786804199, 'ml', 2), ('developmentseed/label-maker', 0.5313600897789001, 'gis', 1), ('mosaicml/composer', 0.517113983631134, 'ml-dl', 2), ('deci-ai/super-gradients', 0.5129750370979309, 'ml-dl', 1), ('lightly-ai/lightly', 0.5071452260017395, 'ml', 2), ('keras-team/keras-cv', 0.5068478584289551, 'ml-dl', 0), ('kevinmusgrave/pytorch-metric-learning', 0.506173312664032, 'ml', 2), ('ddbourgin/numpy-ml', 0.5041775107383728, 'ml', 1)]

36

6

null

0

2

104

44

0

2

1

90

0.5

45

281

util

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

[]

null

[]

null

arrow-py/arrow

arrow

8,455

689

135

Python

https://arrow.readthedocs.io

🏹 Better dates & times for Python

arrow-py

2024-01-12

2012-11-18

584

14.47066

https://avatars.githubusercontent.com/u/68518399?v=4

🏹 Better dates & times for Python

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

2023-09-30

[('sdispater/pendulum', 0.7535154819488525, 'util', 4), ('dateutil/dateutil', 0.7106708884239197, 'util', 3), ('scrapinghub/dateparser', 0.5817139744758606, 'util', 2), ('stub42/pytz', 0.5504962205886841, 'util', 0), ('spulec/freezegun', 0.5130565166473389, 'testing', 0)]

270

4

null

0.12

7

0

136

4

1

5

1

7

8

90

1.1

45

777

diffusion

https://github.com/xavierxiao/dreambooth-stable-diffusion

[]

null

[]

null

xavierxiao/dreambooth-stable-diffusion

Dreambooth-Stable-Diffusion

7,295

775

95

Jupyter Notebook

null

Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion

xavierxiao

2024-01-13

2022-09-06

73

99.931507

null

Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion

['pytorch', 'pytorch-lightning', 'stable-diffusion', 'text-to-image']

2022-09-21

[('carson-katri/dream-textures', 0.5931910872459412, 'diffusion', 1), ('automatic1111/stable-diffusion-webui', 0.5680199861526489, 'diffusion', 2), ('ashawkey/stable-dreamfusion', 0.5586757659912109, 'diffusion', 1), ('huggingface/diffusers', 0.5447068810462952, 'diffusion', 2), ('comfyanonymous/comfyui', 0.5401220321655273, 'diffusion', 2)]

1

null

0

8

0

16

0

8

6

90

0.8

45

134

ml

https://github.com/hyperopt/hyperopt

[]

null

[]

null

hyperopt/hyperopt

hyperopt

6,976

1,073

126

Python

http://hyperopt.github.io/hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

hyperopt

2024-01-13

2011-09-06

647

10.782071

https://avatars.githubusercontent.com/u/5280805?v=4

Distributed Asynchronous Hyperparameter Optimization in Python

[]

2023-09-29

[('optuna/optuna', 0.7380708456039429, 'ml', 0), ('kubeflow/katib', 0.6022725701332092, 'ml', 0), ('google/vizier', 0.5750223994255066, 'ml', 0), ('samuelcolvin/arq', 0.5642699599266052, 'data', 0), ('baruchel/tco', 0.5423157215118408, 'perf', 0), ('scikit-optimize/scikit-optimize', 0.5412236452102661, 'ml', 0), ('determined-ai/determined', 0.5405532121658325, 'ml-ops', 0), ('dask/dask', 0.5399159789085388, 'perf', 0), ('klen/py-frameworks-bench', 0.5207222700119019, 'perf', 0), ('ipython/ipyparallel', 0.5190962553024292, 'perf', 0), ('joblib/joblib', 0.5118980407714844, 'util', 0), ('python-trio/trio', 0.510098934173584, 'perf', 0), ('geeogi/async-python-lambda-template', 0.5066941976547241, 'template', 0), ('alirn76/panther', 0.5043962597846985, 'web', 0)]

102

5

null

0.44

75

50

150

5

0

1

75

49

90

0.7

45

681

util

https://github.com/bndr/pipreqs

[]

null

[]

null

bndr/pipreqs

pipreqs

5,580

367

56

Python

null

pipreqs - Generate pip requirements.txt file based on imports of any project. Looking for maintainers to move this project forward.

bndr

2024-01-13

2015-04-22

457

12.187207

null

pipreqs - Generate pip requirements.txt file based on imports of any project. Looking for maintainers to move this project forward.

[]

2023-10-08

[('thoth-station/micropipenv', 0.625019907951355, 'util', 0), ('pypa/pipenv', 0.550599217414856, 'util', 0), ('pdm-project/pdm', 0.5109939575195312, 'util', 0), ('pomponchik/instld', 0.5049751996994019, 'util', 0)]

60

2

null

0.23

42

22

106

3

2

3

2

42

76

90

1.8

45

1,673

data

https://github.com/madmaze/pytesseract

['ocr']

null

[]

null

madmaze/pytesseract

pytesseract

5,291

717

107

Python

null

A Python wrapper for Google Tesseract

madmaze

2024-01-13

2010-10-27

691

7.647533

null

A Python wrapper for Google Tesseract

[]

['ocr']

2024-01-10

[('rapidai/rapidocr', 0.5656213164329529, 'data', 1), ('jaidedai/easyocr', 0.5150726437568665, 'data', 1), ('hrnet/hrnet-semantic-segmentation', 0.5132443308830261, 'ml', 0)]

45

2

null

0.96

13

9

161

0

3

2

3

13

28

90

2.2

45

264

util

https://github.com/pytransitions/transitions

[]

null

[]

null

pytransitions/transitions

transitions

5,203

519

92

Python

null

A lightweight, object-oriented finite state machine implementation in Python with many extensions

pytransitions

2024-01-14

2014-10-12

485

10.721519

https://avatars.githubusercontent.com/u/26332704?v=4

A lightweight, object-oriented finite state machine implementation in Python with many extensions

['hierarchical-state-machine', 'nested-states', 'state-diagram', 'state-machine']

2023-09-20

[('artemyk/dynpy', 0.55495285987854, 'sim', 0), ('pyston/pyston', 0.5525701642036438, 'util', 0), ('sympy/sympy', 0.523476243019104, 'math', 0), ('ethereum/py-evm', 0.5112031698226929, 'crypto', 0), ('citadel-ai/langcheck', 0.5025991201400757, 'llm', 0)]

76

6

null

0.48

7

3

113

4

0

5

7

90

1

45

311

util

https://github.com/indygreg/pyoxidizer

['package-manager', 'packaging']

null

[]

null

indygreg/pyoxidizer

PyOxidizer

5,016

212

62

Rust

null

A modern Python application packaging and distribution tool

indygreg

2024-01-13

2018-12-18

267

18.786517

null

A modern Python application packaging and distribution tool

[]

['package-manager', 'packaging']

2023-01-21

[('pypa/flit', 0.8746299147605896, 'util', 2), ('mitsuhiko/rye', 0.8726885914802551, 'util', 2), ('python-poetry/poetry', 0.8143705725669861, 'util', 2), ('pdm-project/pdm', 0.7249577045440674, 'util', 2), ('pomponchik/instld', 0.7080777883529663, 'util', 1), ('regebro/pyroma', 0.7064893245697021, 'util', 1), ('pypa/hatch', 0.7048346400260925, 'util', 2), ('mamba-org/mamba', 0.6980676651000977, 'util', 2), ('pyodide/micropip', 0.6752342581748962, 'util', 0), ('pypi/warehouse', 0.6707281470298767, 'util', 0), ('ofek/pyapp', 0.6547517776489258, 'util', 1), ('beeware/briefcase', 0.6296486258506775, 'util', 0), ('pypa/pipenv', 0.6146742701530457, 'util', 1), ('conda/conda', 0.5986080169677734, 'util', 2), ('jazzband/pip-tools', 0.5879077315330505, 'util', 1), ('pypa/installer', 0.5681904554367065, 'util', 0), ('tezromach/python-package-template', 0.5635542273521423, 'template', 0), ('spack/spack', 0.5544406771659851, 'util', 1), ('tiangolo/poetry-version-plugin', 0.5493191480636597, 'util', 1), ('dosisod/refurb', 0.5480595827102661, 'util', 0), ('pytables/pytables', 0.5478392839431763, 'data', 0), ('omry/omegaconf', 0.5404947400093079, 'util', 0), ('mamba-org/gator', 0.5344242453575134, 'jupyter', 0), ('pypa/gh-action-pypi-publish', 0.5328114628791809, 'util', 0), ('pyinstaller/pyinstaller', 0.5304632782936096, 'util', 0), ('pympler/pympler', 0.5277453064918518, 'perf', 0), ('linkedin/shiv', 0.5276411175727844, 'util', 0), ('grahamdumpleton/wrapt', 0.5274959206581116, 'util', 0), ('hoffstadt/dearpygui', 0.5257773995399475, 'gui', 0), ('malloydata/malloy-py', 0.5247126221656799, 'data', 0), ('python-injector/injector', 0.5219050645828247, 'util', 0), ('beeware/toga', 0.5212326645851135, 'gui', 0), ('conda/conda-pack', 0.5181369781494141, 'util', 0), ('mgedmin/check-manifest', 0.5157642364501953, 'util', 0), ('bottlepy/bottle', 0.514263391494751, 'web', 0), ('thoth-station/micropipenv', 0.513746976852417, 'util', 0), ('pyscaffold/pyscaffold', 0.5098890662193298, 'template', 0), ('urwid/urwid', 0.5094347596168518, 'term', 0), ('ethtx/ethtx', 0.5071747303009033, 'crypto', 0), ('eleutherai/pyfra', 0.503706157207489, 'ml', 0), ('pallets/flask', 0.5036942958831787, 'web', 0), ('lukasschwab/arxiv.py', 0.5008288621902466, 'util', 0), ('conda/conda-build', 0.5000386834144592, 'util', 0)]

54

3

null

0

21

3

62

12

0

72

21

11

90

0.5

45

536

nlp

https://github.com/salesforce/codegen

[]

null

[]

null

salesforce/codegen

CodeGen

4,596

353

77

Python

null

CodeGen is a family of open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex.

salesforce

2024-01-13

2022-03-28

96

47.803863

https://avatars.githubusercontent.com/u/453694?v=4

CodeGen is a family of open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex.

['codex', 'generativemodel', 'languagemodel', 'llm', 'programsynthesis', 'tpu-acceleration']

2023-11-21

[('salesforce/codet5', 0.6593608856201172, 'nlp', 0), ('thudm/codegeex', 0.6133092045783997, 'llm', 0), ('bigcode-project/starcoder', 0.601254940032959, 'llm', 0), ('openai/image-gpt', 0.5758861303329468, 'llm', 0), ('ravenscroftj/turbopilot', 0.5407807230949402, 'llm', 0), ('conceptofmind/toolformer', 0.5336177945137024, 'llm', 0), ('microsoft/pycodegpt', 0.5231809020042419, 'llm', 0), ('lupantech/chameleon-llm', 0.5142695307731628, 'llm', 1), ('next-gpt/next-gpt', 0.5129567384719849, 'llm', 1), ('pytorch/glow', 0.5098628997802734, 'ml', 0), ('modularml/mojo', 0.5068298578262329, 'util', 0), ('ludwig-ai/ludwig', 0.5055090188980103, 'ml-ops', 1)]

10

2

null

0.65

5

1

22

2

0

5

2

90

0.4

45

146

ml

https://github.com/nmslib/hnswlib

[]

null

[]

null

nmslib/hnswlib

hnswlib

3,773

593

64

C++

https://github.com/nmslib/hnswlib

Header-only C++/python library for fast approximate nearest neighbors

nmslib

2024-01-13

2017-07-06

342

11.00917

https://avatars.githubusercontent.com/u/37882366?v=4

Header-only C++/python library for fast approximate nearest neighbors

[]

2023-12-03

[('spotify/annoy', 0.7858440279960632, 'ml', 0), ('lmcinnes/pynndescent', 0.6369488835334778, 'ml', 0), ('spotify/voyager', 0.5946098566055298, 'ml', 0), ('pyston/pyston', 0.5059448480606079, 'util', 0), ('facebookresearch/faiss', 0.5014215111732483, 'ml', 0)]

72

4

null

0.65

30

11

79

1

2

30

28

90

0.9

45

758

diffusion

https://github.com/lkwq007/stablediffusion-infinity

[]

null

[]

null

lkwq007/stablediffusion-infinity

stablediffusion-infinity

3,732

295

41

Python

null

Outpainting with Stable Diffusion on an infinite canvas

lkwq007

2024-01-14

2022-09-02

73

50.726214

null

Outpainting with Stable Diffusion on an infinite canvas

['gui', 'inpainting', 'outpainting', 'stable-diffusion', 'stablediffusion']

2023-01-24

[('carson-katri/dream-textures', 0.5580441951751709, 'diffusion', 1), ('sanster/lama-cleaner', 0.5446968078613281, 'ml-dl', 2), ('timothybrooks/instruct-pix2pix', 0.5145807266235352, 'diffusion', 0), ('jina-ai/discoart', 0.5142841935157776, 'diffusion', 1), ('comfyanonymous/comfyui', 0.5033169388771057, 'diffusion', 2)]

7

2

null

0.13

4

0

17

12

0

2

4

3

90

0.8

45

1,169

llm

https://github.com/instruction-tuning-with-gpt-4/gpt-4-llm

[]

null

[]

null

instruction-tuning-with-gpt-4/gpt-4-llm

GPT-4-LLM

3,721

272

44

HTML

https://instruction-tuning-with-gpt-4.github.io/

Instruction Tuning with GPT-4

instruction-tuning-with-gpt-4

2024-01-14

2023-04-06

42

87.113712

null

Instruction Tuning with GPT-4

['alpaca', 'chatgpt', 'gpt-4', 'instruction-tuning', 'llama']

2023-06-11

[('declare-lab/instruct-eval', 0.653624415397644, 'llm', 0), ('haotian-liu/llava', 0.6272305250167847, 'llm', 4), ('farizrahman4u/loopgpt', 0.5821303129196167, 'llm', 1), ('hiyouga/llama-efficient-tuning', 0.5739951133728027, 'llm', 2), ('hiyouga/llama-factory', 0.5739949345588684, 'llm', 2), ('tiger-ai-lab/mammoth', 0.5739008784294128, 'llm', 1), ('zrrskywalker/llama-adapter', 0.5689181685447693, 'llm', 2), ('tloen/alpaca-lora', 0.5178021788597107, 'llm', 1)]

7

3

null

0.63

0

9

7

0

90

0

45

259

util

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

[]

null

[]

null

python-markdown/markdown

markdown

3,472

865

76

Python

https://python-markdown.github.io/

A Python implementation of John Gruber’s Markdown with Extension support.

python-markdown

2024-01-12

2010-05-29

713

4.86664

https://avatars.githubusercontent.com/u/11278576?v=4

A Python implementation of John Gruber’s Markdown with Extension support.

['markdown', 'markdown-parser', 'markdown-to-html', 'python-markdown']

2024-01-10

[('getpelican/pelican', 0.6716626882553101, 'web', 0), ('hhatto/autopep8', 0.5607690811157227, 'util', 0), ('google/yapf', 0.5518056154251099, 'util', 0), ('mwouts/jupytext', 0.5461102724075317, 'jupyter', 1), ('google/latexify_py', 0.5334113240242004, 'util', 0), ('pygments/pygments', 0.5284628868103027, 'util', 0), ('roniemartinez/dude', 0.5186324715614319, 'util', 0), ('pytoolz/toolz', 0.5181722640991211, 'util', 0), ('connorferster/handcalcs', 0.5013054609298706, 'jupyter', 0), ('feincms/feincms', 0.500464141368866, 'web', 0)]

173

2

null

0.87

49

40

166

0

2

4

2

48

167

90

3.5

45

360

ml-ops

https://github.com/polyaxon/polyaxon

[]

null

[]

null

polyaxon/polyaxon

polyaxon

3,432

321

79

null

https://polyaxon.com

MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle

polyaxon

2024-01-12

2016-12-26

370

9.272096

https://avatars.githubusercontent.com/u/24544827?v=4

MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle

['artificial-intelligence', 'caffe', 'data-science', 'deep-learning', 'hyperparameter-optimization', 'jupyter', 'jupyterlab', 'k8s', 'keras', 'kubernetes', 'machine-learning', 'ml', 'mlops', 'mxnet', 'notebook', 'pipelines', 'pytorch', 'reinforcement-learning', 'tensorflow', 'workflow']

2024-01-12

[('kubeflow/pipelines', 0.7241019010543823, 'ml-ops', 4), ('mlflow/mlflow', 0.7237421870231628, 'ml-ops', 2), ('bentoml/bentoml', 0.70576012134552, 'ml-ops', 4), ('netflix/metaflow', 0.6915358901023865, 'ml-ops', 5), ('onnx/onnx', 0.6912744641304016, 'ml', 7), ('fmind/mlops-python-package', 0.6891217231750488, 'template', 2), ('bodywork-ml/bodywork-core', 0.6861110925674438, 'ml-ops', 4), ('feast-dev/feast', 0.6851301193237305, 'ml-ops', 4), ('microsoft/nni', 0.6834843754768372, 'ml', 7), ('flyteorg/flyte', 0.6784146428108215, 'ml-ops', 5), ('determined-ai/determined', 0.6687636971473694, 'ml-ops', 9), ('wandb/client', 0.6643576622009277, 'ml', 9), ('zenml-io/zenml', 0.6621537804603577, 'ml-ops', 9), ('allegroai/clearml', 0.6574744582176208, 'ml-ops', 4), ('unionai-oss/unionml', 0.6547122597694397, 'ml-ops', 2), ('huggingface/datasets', 0.6493980884552002, 'nlp', 4), ('skypilot-org/skypilot', 0.6188631057739258, 'llm', 3), ('merantix-momentum/squirrel-core', 0.6144108772277832, 'ml', 6), ('googlecloudplatform/vertex-ai-samples', 0.6127983331680298, 'ml', 4), ('tensorflow/tensorflow', 0.6108132600784302, 'ml-dl', 4), ('avaiga/taipy', 0.6045488119125366, 'data', 3), ('ml-tooling/opyrator', 0.6038118600845337, 'viz', 1), ('lutzroeder/netron', 0.5946682095527649, 'ml', 8), ('microsoft/onnxruntime', 0.5915482044219971, 'ml', 4), ('orchest/orchest', 0.5914933681488037, 'ml-ops', 6), ('polyaxon/datatile', 0.5872251987457275, 'pandas', 4), ('getindata/kedro-kubeflow', 0.5841188430786133, 'ml-ops', 1), ('ploomber/ploomber', 0.5840852856636047, 'ml-ops', 6), ('dagster-io/dagster', 0.5835554003715515, 'ml-ops', 3), ('firmai/industry-machine-learning', 0.5819257497787476, 'study', 2), ('horovod/horovod', 0.5797879695892334, 'ml-ops', 6), ('skops-dev/skops', 0.5779671669006348, 'ml-ops', 2), ('kubeflow/fairing', 0.5774126648902893, 'ml-ops', 0), ('apple/coremltools', 0.5726978778839111, 'ml', 3), ('iterative/dvc', 0.5695563554763794, 'ml-ops', 2), ('roboflow/supervision', 0.5695512890815735, 'ml', 4), ('mage-ai/mage-ai', 0.5694826245307922, 'ml-ops', 4), ('apache/airflow', 0.5673277974128723, 'ml-ops', 4), ('deepchecks/deepchecks', 0.5667403340339661, 'data', 6), ('alirezadir/machine-learning-interview-enlightener', 0.564633309841156, 'study', 2), ('kubeflow-kale/kale', 0.5640344619750977, 'ml-ops', 1), ('nccr-itmo/fedot', 0.5636411905288696, 'ml-ops', 2), ('kestra-io/kestra', 0.561455249786377, 'ml-ops', 1), ('gradio-app/gradio', 0.5608937740325928, 'viz', 3), ('activeloopai/deeplake', 0.5602334141731262, 'ml-ops', 7), ('doccano/doccano', 0.5601885914802551, 'nlp', 1), ('aimhubio/aim', 0.5590616464614868, 'ml-ops', 6), ('adap/flower', 0.5568473935127258, 'ml-ops', 5), ('jina-ai/jina', 0.5560136437416077, 'ml', 4), ('automl/auto-sklearn', 0.5545597672462463, 'ml', 1), ('dagworks-inc/hamilton', 0.5525692701339722, 'ml-ops', 3), ('ddbourgin/numpy-ml', 0.5511565208435059, 'ml', 2), ('alpa-projects/alpa', 0.5499585866928101, 'ml-dl', 2), ('xplainable/xplainable', 0.5472549796104431, 'ml-interpretability', 2), ('ray-project/ray', 0.5454540252685547, 'ml-ops', 7), ('unity-technologies/ml-agents', 0.5450904965400696, 'ml-rl', 3), ('explosion/thinc', 0.5428985357284546, 'ml-dl', 6), ('nvidia/deeplearningexamples', 0.5416098833084106, 'ml-dl', 4), ('aws/sagemaker-python-sdk', 0.5382318496704102, 'ml', 4), ('hpcaitech/colossalai', 0.5358098745346069, 'llm', 1), ('google/mediapipe', 0.5345292091369629, 'ml', 2), ('mosaicml/composer', 0.5328403115272522, 'ml-dl', 3), ('titanml/takeoff', 0.5318194031715393, 'llm', 0), ('featureform/embeddinghub', 0.5308116674423218, 'nlp', 4), ('pytorchlightning/pytorch-lightning', 0.529716968536377, 'ml-dl', 5), ('evidentlyai/evidently', 0.5295282006263733, 'ml-ops', 3), ('google/vizier', 0.5294651389122009, 'ml', 3), ('whylabs/whylogs', 0.5290948152542114, 'util', 3), ('backtick-se/cowait', 0.5269318222999573, 'util', 2), ('districtdatalabs/yellowbrick', 0.5260629653930664, 'ml', 1), ('pythagora-io/gpt-pilot', 0.5244739055633545, 'llm', 0), ('deepmind/dm_control', 0.5232641100883484, 'ml-rl', 4), ('keras-team/autokeras', 0.5219746232032776, 'ml-dl', 4), ('microsoft/deepspeed', 0.5181537866592407, 'ml-dl', 3), ('ludwig-ai/ludwig', 0.5176489949226379, 'ml-ops', 5), ('microsoft/lmops', 0.5171562433242798, 'llm', 0), ('keras-team/keras-nlp', 0.5162709355354309, 'nlp', 4), ('pydoit/doit', 0.5158570408821106, 'util', 2), ('meltano/meltano', 0.5144167542457581, 'ml-ops', 1), ('epistasislab/tpot', 0.5143507122993469, 'ml', 3), ('huggingface/transformers', 0.5142974257469177, 'nlp', 4), ('cheshire-cat-ai/core', 0.512060284614563, 'llm', 0), ('csinva/imodels', 0.5118154883384705, 'ml', 4), ('nevronai/metisfl', 0.5108596682548523, 'ml', 3), ('bentoml/openllm', 0.5105753540992737, 'ml-ops', 2), ('selfexplainml/piml-toolbox', 0.5091049075126648, 'ml-interpretability', 0), ('chaostoolkit/chaostoolkit', 0.5090064406394958, 'util', 0), ('uber/fiber', 0.5087381601333618, 'data', 1), ('zenml-io/mlstacks', 0.5073304176330566, 'ml-ops', 2), ('eventual-inc/daft', 0.5069470405578613, 'pandas', 3), ('awslabs/autogluon', 0.5069301724433899, 'ml', 5), ('pathwaycom/pathway', 0.5067856311798096, 'data', 0), ('lucidrains/toolformer-pytorch', 0.5062516927719116, 'llm', 2), ('tensorflow/tensor2tensor', 0.5061532258987427, 'ml', 3), ('kedro-org/kedro', 0.5058719515800476, 'ml-ops', 2), ('neuralmagic/deepsparse', 0.504664957523346, 'nlp', 0), ('towhee-io/towhee', 0.5038055181503296, 'ml-ops', 1), ('spack/spack', 0.5023648738861084, 'util', 0), ('giskard-ai/giskard', 0.5021538734436035, 'data', 3), ('lastmile-ai/aiconfig', 0.5021164417266846, 'util', 0), ('keras-rl/keras-rl', 0.5010080337524414, 'ml-rl', 4), ('superduperdb/superduperdb', 0.5004454851150513, 'data', 3), ('microsoft/flaml', 0.5002272129058838, 'ml', 4)]

98

3

null

3.77

3

1

86

0

29

3

1

90

0.3

45

35

data

https://github.com/jmcnamara/xlsxwriter

[]

null

[]

null

jmcnamara/xlsxwriter

XlsxWriter

3,402

624

118

Python

https://xlsxwriter.readthedocs.io

A Python module for creating Excel XLSX files.

jmcnamara

2024-01-13

2013-01-04

577

5.890181

null

A Python module for creating Excel XLSX files.

['charts', 'libxlsxwriter', 'pandas', 'spreadsheet', 'xlsx', 'xlsx-files', 'xlsxwriter']

2023-11-08

[('zoomeranalytics/xlwings', 0.7553142309188843, 'data', 0), ('jazzband/tablib', 0.5911999344825745, 'data', 0), ('tkrabel/bamboolib', 0.5247606039047241, 'pandas', 1), ('connorferster/handcalcs', 0.5153928399085999, 'jupyter', 0), ('vizzuhq/ipyvizzu', 0.5122716426849365, 'jupyter', 1), ('holoviz/hvplot', 0.5030190348625183, 'pandas', 0), ('cuemacro/chartpy', 0.500167191028595, 'viz', 0)]

52

2

null

1.31

27

19

134

2

0

15

27

87

90

3.2

45

365

ml

https://github.com/facebookresearch/vissl

[]

null

[]

null

facebookresearch/vissl

vissl

3,180

328

53

Jupyter Notebook

https://vissl.ai

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

facebookresearch

2024-01-13

2020-04-09

198

16.002876

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

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

[]

2024-01-05

[('deci-ai/super-gradients', 0.6394485831260681, 'ml-dl', 0), ('lightly-ai/lightly', 0.6104288101196289, 'ml', 0), ('roboflow/notebooks', 0.5875295996665955, 'study', 0), ('google-research/maxvit', 0.5404923558235168, 'ml', 0), ('lucidrains/vit-pytorch', 0.5331419110298157, 'ml-dl', 0), ('paperswithcode/sota-extractor', 0.5020662546157837, 'data', 0)]

37

5

null

0.19

2

0

46

0

1

2

90

1

45

654

ml

https://github.com/pytorch/glow

[]

null

[]

null

pytorch/glow

glow

3,085

690

157

C++

null

Compiler for Neural Network hardware accelerators

pytorch

2024-01-13

2017-09-29

330

9.332325

https://avatars.githubusercontent.com/u/21003710?v=4

Compiler for Neural Network hardware accelerators

[]

2024-01-09

[('microsoft/onnxruntime', 0.6179055571556091, 'ml', 0), ('alpa-projects/alpa', 0.6077716946601868, 'ml-dl', 0), ('karpathy/micrograd', 0.6073175668716431, 'study', 0), ('intel/intel-extension-for-pytorch', 0.6005612015724182, 'perf', 0), ('exaloop/codon', 0.5580657720565796, 'perf', 0), ('microsoft/olive', 0.5527094006538391, 'ml', 0), ('plasma-umass/scalene', 0.5508031249046326, 'profiling', 0), ('facebookincubator/aitemplate', 0.542003870010376, 'ml-dl', 0), ('rasbt/machine-learning-book', 0.5354295372962952, 'study', 0), ('microsoft/deepspeed', 0.5229150652885437, 'ml-dl', 0), ('cython/cython', 0.5203021168708801, 'util', 0), ('pytorch/pytorch', 0.5188764929771423, 'ml-dl', 0), ('huggingface/optimum', 0.5153691172599792, 'ml', 0), ('neuralmagic/deepsparse', 0.514583945274353, 'nlp', 0), ('openai/triton', 0.5112419724464417, 'util', 0), ('salesforce/codegen', 0.5098628997802734, 'nlp', 0), ('fastai/fastcore', 0.509026288986206, 'util', 0), ('google/tf-quant-finance', 0.5075867772102356, 'finance', 0), ('denys88/rl_games', 0.5074953436851501, 'ml-rl', 0), ('bobazooba/xllm', 0.5073339343070984, 'llm', 0), ('pytorchlightning/pytorch-lightning', 0.5054729580879211, 'ml-dl', 0), ('skorch-dev/skorch', 0.5048933029174805, 'ml-dl', 0), ('determined-ai/determined', 0.5047574639320374, 'ml-ops', 0), ('intel/scikit-learn-intelex', 0.5033442378044128, 'perf', 0)]

353

1

null

1.23

8

1

77

0

8

27

90

3.4

45

669

diffusion

https://github.com/saharmor/dalle-playground

[]

null

[]

null

saharmor/dalle-playground

dalle-playground

2,751

603

32

JavaScript

null

A playground to generate images from any text prompt using Stable Diffusion (past: using DALL-E Mini)

saharmor

2024-01-12

2021-09-13

124

22.159954

null

A playground to generate images from any text prompt using Stable Diffusion (past: using DALL-E Mini)

['artificial', 'artificial-intelligence', 'dall-e', 'dalle', 'dalle-mini', 'gan', 'machine-learning', 'openai', 'stable-diffusion', 'text-to-image', 'transformers']

2023-12-29

[('borisdayma/dalle-mini', 0.7689334750175476, 'diffusion', 0), ('nateraw/stable-diffusion-videos', 0.671584963798523, 'diffusion', 2), ('fourthbrain/fastapi-for-machine-learning-live-demo', 0.6557318568229675, 'web', 1), ('lucidrains/deep-daze', 0.6547111868858337, 'ml', 3), ('automatic1111/stable-diffusion-webui', 0.6440442204475403, 'diffusion', 1), ('compvis/stable-diffusion', 0.6419358253479004, 'diffusion', 0), ('sharonzhou/long_stable_diffusion', 0.6195039749145508, 'diffusion', 0), ('invoke-ai/invokeai', 0.6060563921928406, 'diffusion', 2), ('openai/glide-text2im', 0.6006641387939453, 'diffusion', 0), ('lucidrains/imagen-pytorch', 0.5938807725906372, 'ml-dl', 2), ('lucidrains/dalle2-pytorch', 0.5927163362503052, 'diffusion', 2), ('thereforegames/unprompted', 0.5805418491363525, 'diffusion', 1), ('promptslab/awesome-prompt-engineering', 0.5731377005577087, 'study', 3), ('laion-ai/dalle2-laion', 0.570446252822876, 'diffusion', 1), ('open-mmlab/mmediting', 0.5508294105529785, 'ml', 0), ('huggingface/diffusers', 0.539817750453949, 'diffusion', 1), ('thudm/cogvideo', 0.529645562171936, 'ml', 0), ('openai/clip', 0.5254179239273071, 'ml-dl', 1), ('carson-katri/dream-textures', 0.5181798934936523, 'diffusion', 1), ('alibaba/easynlp', 0.5042204260826111, 'nlp', 2)]

11

4

null

0.13

2

28

1

0

2

4

90

2

45

868

study

https://github.com/rasbt/machine-learning-book

[]

null

[]

null

rasbt/machine-learning-book

machine-learning-book

2,524

923

45

Jupyter Notebook

https://sebastianraschka.com/books/#machine-learning-with-pytorch-and-scikit-learn

Code Repository for Machine Learning with PyTorch and Scikit-Learn

rasbt

2024-01-13

2021-12-19

110

22.88601

null

Code Repository for Machine Learning with PyTorch and Scikit-Learn

['deep-learning', 'machine-learning', 'neural-networks', 'pytorch', 'scikit-learn']

2023-12-27

[('skorch-dev/skorch', 0.777802050113678, 'ml-dl', 3), ('intel/intel-extension-for-pytorch', 0.7345353960990906, 'perf', 3), ('pytorch/ignite', 0.7284553050994873, 'ml-dl', 3), ('mrdbourke/pytorch-deep-learning', 0.6849406957626343, 'study', 3), ('fchollet/deep-learning-with-python-notebooks', 0.6557565331459045, 'study', 0), ('ageron/handson-ml2', 0.6461301445960999, 'ml', 0), ('pyg-team/pytorch_geometric', 0.6416996121406555, 'ml-dl', 2), ('determined-ai/determined', 0.6383908987045288, 'ml-ops', 3), ('pycaret/pycaret', 0.6377236843109131, 'ml', 1), ('nvidia/apex', 0.6338503956794739, 'ml-dl', 0), ('ashleve/lightning-hydra-template', 0.619256317615509, 'util', 2), ('patchy631/machine-learning', 0.6192141175270081, 'ml', 0), ('huggingface/transformers', 0.6170870065689087, 'nlp', 3), ('tensorflow/tensorflow', 0.6161754131317139, 'ml-dl', 2), ('tensorlayer/tensorlayer', 0.6144220232963562, 'ml-rl', 1), ('pytorch/data', 0.6106820106506348, 'data', 0), ('teamhg-memex/eli5', 0.607665479183197, 'ml', 2), ('koaning/human-learn', 0.6072452068328857, 'data', 2), ('gradio-app/gradio', 0.607107937335968, 'viz', 2), ('allenai/allennlp', 0.6064896583557129, 'nlp', 2), ('microsoft/semi-supervised-learning', 0.6046102046966553, 'ml', 3), ('microsoft/nni', 0.603572428226471, 'ml', 3), ('huggingface/huggingface_hub', 0.6020623445510864, 'ml', 3), ('automl/auto-sklearn', 0.6004539132118225, 'ml', 1), ('karpathy/micrograd', 0.597282350063324, 'study', 0), ('featurelabs/featuretools', 0.5927860736846924, 'ml', 2), ('tensorflow/tensor2tensor', 0.5888902544975281, 'ml', 2), ('horovod/horovod', 0.5868951082229614, 'ml-ops', 3), ('nvidia/deeplearningexamples', 0.5868580937385559, 'ml-dl', 2), ('aws/sagemaker-python-sdk', 0.586579442024231, 'ml', 2), ('ml-for-high-risk-apps-book/machine-learning-for-high-risk-applications-book', 0.5862606167793274, 'study', 2), ('intellabs/bayesian-torch', 0.5859395861625671, 'ml', 2), ('koaning/scikit-lego', 0.5857502818107605, 'ml', 2), ('iryna-kondr/scikit-llm', 0.5804186463356018, 'llm', 3), ('deepmind/deepmind-research', 0.5797885060310364, 'ml', 0), ('oml-team/open-metric-learning', 0.5796335339546204, 'ml', 2), ('neuralmagic/sparseml', 0.5774632692337036, 'ml-dl', 1), ('facebookresearch/pytorch3d', 0.574776828289032, 'ml-dl', 0), ('rentruewang/koila', 0.5745282769203186, 'ml', 3), ('pyro-ppl/pyro', 0.5722088813781738, 'ml-dl', 3), ('pytorch/rl', 0.5708683729171753, 'ml-rl', 2), ('intel/scikit-learn-intelex', 0.5701589584350586, 'perf', 2), ('uber/petastorm', 0.5682684183120728, 'data', 3), ('huggingface/datasets', 0.5675892233848572, 'nlp', 3), ('aistream-peelout/flow-forecast', 0.5672064423561096, 'time-series', 2), ('denys88/rl_games', 0.5648091435432434, 'ml-rl', 2), ('samuela/git-re-basin', 0.564606785774231, 'ml-dl', 3), ('jovianml/opendatasets', 0.5631752610206604, 'data', 1), ('mlflow/mlflow', 0.5623690485954285, 'ml-ops', 1), ('microsoft/deepspeed', 0.5622684955596924, 'ml-dl', 3), ('arogozhnikov/einops', 0.5617372989654541, 'ml-dl', 2), ('firmai/industry-machine-learning', 0.5610123872756958, 'study', 1), ('probml/pyprobml', 0.5608888268470764, 'ml', 2), ('rdkit/rdkit', 0.5607836246490479, 'sim', 0), ('davidadsp/generative_deep_learning_2nd_edition', 0.5600119233131409, 'study', 2), ('salesforce/deeptime', 0.559136688709259, 'time-series', 1), ('microsoft/onnxruntime', 0.5571870803833008, 'ml', 5), ('keras-team/autokeras', 0.5562219023704529, 'ml-dl', 2), ('keras-team/keras', 0.5560621619224548, 'ml-dl', 4), ('tlkh/tf-metal-experiments', 0.5555431246757507, 'perf', 1), ('ggerganov/ggml', 0.5550714135169983, 'ml', 1), ('skops-dev/skops', 0.5548707246780396, 'ml-ops', 2), ('kubeflow/fairing', 0.5534403324127197, 'ml-ops', 0), ('explosion/thinc', 0.5526840686798096, 'ml-dl', 3), ('tensorflow/data-validation', 0.5481884479522705, 'ml-ops', 0), ('wandb/client', 0.5468006134033203, 'ml', 3), ('ddbourgin/numpy-ml', 0.5466738343238831, 'ml', 2), ('facebookresearch/dinov2', 0.5447684526443481, 'diffusion', 0), ('onnx/onnx', 0.5438082814216614, 'ml', 4), ('pytorch/torchrec', 0.5437749624252319, 'ml-dl', 2), ('rafiqhasan/auto-tensorflow', 0.5379175543785095, 'ml-dl', 2), ('d2l-ai/d2l-en', 0.5370543003082275, 'study', 3), ('lightly-ai/lightly', 0.5357835292816162, 'ml', 3), ('pytorch/glow', 0.5354295372962952, 'ml', 0), ('rasbt/mlxtend', 0.5330138206481934, 'ml', 1), ('xl0/lovely-tensors', 0.5321751236915588, 'ml-dl', 2), ('scikit-learn/scikit-learn', 0.5305891036987305, 'ml', 1), ('dmlc/dgl', 0.5301172733306885, 'ml-dl', 1), ('christoschristofidis/awesome-deep-learning', 0.5299058556556702, 'study', 2), ('pytorch/captum', 0.5297553539276123, 'ml-interpretability', 0), ('scikit-learn-contrib/metric-learn', 0.5294020175933838, 'ml', 2), ('google-research/language', 0.5288284420967102, 'nlp', 1), ('nyandwi/modernconvnets', 0.5279679298400879, 'ml-dl', 1), ('dask/dask-ml', 0.5278743505477905, 'ml', 0), ('jeshraghian/snntorch', 0.5273086428642273, 'ml-dl', 3), ('huggingface/evaluate', 0.5270928740501404, 'ml', 1), ('hysts/pytorch_image_classification', 0.5264284610748291, 'ml-dl', 1), ('microsoft/flaml', 0.5261116623878479, 'ml', 3), ('nvlabs/gcvit', 0.5256971716880798, 'diffusion', 1), ('huggingface/accelerate', 0.5255182385444641, 'ml', 0), ('mdbloice/augmentor', 0.5249707102775574, 'ml', 3), ('scikit-learn-contrib/imbalanced-learn', 0.5242375731468201, 'ml', 1), ('merantix-momentum/squirrel-core', 0.5238132476806641, 'ml', 3), ('speechbrain/speechbrain', 0.5237654447555542, 'nlp', 2), ('csinva/imodels', 0.5234281420707703, 'ml', 2), ('google/tf-quant-finance', 0.523298442363739, 'finance', 0), ('googlecloudplatform/vertex-ai-samples', 0.5225531458854675, 'ml', 0), ('thu-ml/tianshou', 0.5220516920089722, 'ml-rl', 1), ('google/temporian', 0.5215150117874146, 'time-series', 0), ('lucidrains/imagen-pytorch', 0.5199929475784302, 'ml-dl', 1), ('aiqc/aiqc', 0.519234299659729, 'ml-ops', 0), ('salesforce/blip', 0.5187211036682129, 'diffusion', 0), ('graykode/nlp-tutorial', 0.518619179725647, 'study', 1), ('lutzroeder/netron', 0.5182120203971863, 'ml', 3), ('udacity/deep-learning-v2-pytorch', 0.517561674118042, 'study', 2), ('deepmind/dm-haiku', 0.5160495638847351, 'ml-dl', 3), ('nicolas-chaulet/torch-points3d', 0.5115610957145691, 'ml', 0), ('epistasislab/tpot', 0.5111925601959229, 'ml', 2), ('catboost/catboost', 0.5105630159378052, 'ml', 1), ('weecology/deepforest', 0.5097160339355469, 'gis', 0), ('neuralmagic/deepsparse', 0.5080384612083435, 'nlp', 0), ('tensorflow/lucid', 0.5070700645446777, 'ml-interpretability', 1), ('cvxgrp/pymde', 0.5070154070854187, 'ml', 2), ('dylanhogg/awesome-python', 0.5065024495124817, 'study', 2), ('keras-rl/keras-rl', 0.5053036212921143, 'ml-rl', 2), ('carla-recourse/carla', 0.5052952766418457, 'ml', 2), ('unity-technologies/ml-agents', 0.5040963292121887, 'ml-rl', 3), ('deepmodeling/deepmd-kit', 0.5035223960876465, 'sim', 1), ('adafruit/circuitpython', 0.5035032033920288, 'util', 0), ('ray-project/tune-sklearn', 0.5028691291809082, 'ml', 1), ('google/vizier', 0.5023799538612366, 'ml', 2), ('nltk/nltk', 0.5020496249198914, 'nlp', 1), ('blackhc/toma', 0.5006940960884094, 'ml-dl', 2), ('ludwig-ai/ludwig', 0.5003655552864075, 'ml-ops', 3)]

14

3

null

0.38

7

4

25

1

0

1

7

90

1

45

1,793

util

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

[]

null

[]

null

pyinfra-dev/pyinfra

pyinfra

2,467

319

37

Python

https://pyinfra.com

pyinfra automates infrastructure using Python. It’s fast and scales from one server to thousands. Great for ad-hoc command execution, service deployment, configuration management and more.

pyinfra-dev

2024-01-13

2014-10-19

484

5.0941

https://avatars.githubusercontent.com/u/146648081?v=4

pyinfra automates infrastructure using Python. It’s fast and scales from one server to thousands. Great for ad-hoc command execution, service deployment, configuration management and more.

['cloud-management', 'configuration-management', 'high-performance', 'infrastructure', 'pyinfra', 'remote-execution']

2024-01-13

[('willmcgugan/textual', 0.6321539878845215, 'term', 0), ('pypy/pypy', 0.6099465489387512, 'util', 0), ('backtick-se/cowait', 0.5932263135910034, 'util', 0), ('bottlepy/bottle', 0.590758204460144, 'web', 0), ('cython/cython', 0.5551347732543945, 'util', 0), ('pypa/hatch', 0.5454100966453552, 'util', 0), ('pallets/flask', 0.5409476161003113, 'web', 0), ('pallets/quart', 0.5390889048576355, 'web', 0), ('dddomodossola/remi', 0.5348232984542847, 'gui', 0), ('pytables/pytables', 0.5320051312446594, 'data', 0), ('micropython/micropython', 0.5298929214477539, 'util', 0), ('eventual-inc/daft', 0.5292609333992004, 'pandas', 0), ('eleutherai/pyfra', 0.5274806022644043, 'ml', 0), ('falconry/falcon', 0.5231207609176636, 'web', 0), ('hoffstadt/dearpygui', 0.5215190649032593, 'gui', 0), ('klen/py-frameworks-bench', 0.5210394263267517, 'perf', 0), ('nficano/python-lambda', 0.5205470323562622, 'util', 0), ('fastai/fastcore', 0.5203496217727661, 'util', 0), ('webpy/webpy', 0.5194896459579468, 'web', 0), ('masoniteframework/masonite', 0.5186633467674255, 'web', 0), ('aws/chalice', 0.5128588080406189, 'web', 0), ('pyodide/micropip', 0.5114571452140808, 'util', 0), ('pypa/pipenv', 0.5107925534248352, 'util', 0), ('flet-dev/flet', 0.5072339773178101, 'web', 0), ('neoteroi/blacksheep', 0.5058210492134094, 'web', 0), ('google/gin-config', 0.5022099614143372, 'util', 1), ('klen/muffin', 0.5019458532333374, 'web', 0)]

104

5

null

1.31

61

25

112

0

4

22

4

61

52

90

0.9

45

585

util

https://github.com/hgrecco/pint

[]

null

[]

null

hgrecco/pint

pint

2,171

492

41

Python

http://pint.readthedocs.org/

Operate and manipulate physical quantities in Python

hgrecco

2024-01-12

2012-07-13

602

3.602892

null

Operate and manipulate physical quantities in Python

['science', 'units']

2024-01-03

[('fredrik-johansson/mpmath', 0.5482094883918762, 'math', 0), ('numpy/numpy', 0.5478784441947937, 'math', 0), ('sympy/sympy', 0.534096896648407, 'math', 1), ('artemyk/dynpy', 0.5099499225616455, 'sim', 0), ('connorferster/handcalcs', 0.506892740726471, 'jupyter', 0)]

208

3

null

3.29

80

28

140

0

4

80

169

90

2.1

45

1,872

ml

https://github.com/freedmand/semantra

[]

Semantra is a multipurpose tool for semantically searching documents. Query by meaning rather than just by matching text.

[]

null

freedmand/semantra

semantra

2,152

117

31

Python

null

Multi-tool for semantic search

freedmand

2024-01-13

2023-03-31

43

49.390164

null

Multi-tool for semantic search

['cli', 'machine-learning', 'semantic-search']

2023-12-16

[('docarray/docarray', 0.5385406017303467, 'data', 2), ('nomic-ai/semantic-search-app-template', 0.5121299624443054, 'study', 1)]

4

1

null

0.87

7

5

10

1

0

7

90

1

45

297

finance

https://github.com/blankly-finance/blankly

[]

null

[]

null

blankly-finance/blankly

blankly

1,864

250

39

Python

https://package.blankly.finance

🚀 💸 Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.

blankly-finance

2024-01-14

2021-03-09

151

12.344371

https://avatars.githubusercontent.com/u/82687739?v=4

🚀 💸 Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.

['algotrading', 'binance', 'blankly', 'bot', 'bot-framework', 'bots', 'coinbase', 'crypto', 'cryptocurrency', 'framework', 'investment', 'platform', 'stocks', 'trading', 'trading-bot', 'trading-strategies']

2023-12-23

[('ccxt/ccxt', 0.6164409518241882, 'crypto', 4), ('kernc/backtesting.py', 0.5919058918952942, 'finance', 5), ('gbeced/basana', 0.5776981711387634, 'finance', 3), ('freqtrade/freqtrade', 0.5714588165283203, 'crypto', 2), ('idanya/algo-trader', 0.5535969138145447, 'finance', 2), ('quantconnect/lean', 0.5336184501647949, 'finance', 3)]

18

5

null

0.35

7

3

35

1

0

10

7

6

90

0.9

45

507

ml

https://github.com/tensorflow/addons

[]

null

[]

null

tensorflow/addons

addons

1,680

612

58

Python

null

Useful extra functionality for TensorFlow 2.x maintained by SIG-addons

tensorflow

2024-01-09

2018-11-26

270

6.218932

https://avatars.githubusercontent.com/u/15658638?v=4

Useful extra functionality for TensorFlow 2.x maintained by SIG-addons

['deep-learning', 'machine-learning', 'neural-network', 'tensorflow', 'tensorflow-addons']

2023-12-13

[('arogozhnikov/einops', 0.6348954439163208, 'ml-dl', 2), ('intel/intel-extension-for-pytorch', 0.6045843958854675, 'perf', 3), ('blackhc/toma', 0.5717829465866089, 'ml-dl', 1), ('tlkh/tf-metal-experiments', 0.5677783489227295, 'perf', 2), ('nyandwi/modernconvnets', 0.567768931388855, 'ml-dl', 1), ('google/tf-quant-finance', 0.5670149326324463, 'finance', 1), ('tensorflow/similarity', 0.5603650212287903, 'ml-dl', 3), ('tensorly/tensorly', 0.5590072274208069, 'ml-dl', 2), ('danielegrattarola/spektral', 0.5564872026443481, 'ml-dl', 2), ('explosion/thinc', 0.5554784536361694, 'ml-dl', 3), ('microsoft/onnxruntime', 0.5536020994186401, 'ml', 3), ('neuralmagic/sparseml', 0.5490881204605103, 'ml-dl', 1), ('pytorch/pytorch', 0.5459487438201904, 'ml-dl', 3), ('xl0/lovely-tensors', 0.5444281697273254, 'ml-dl', 1), ('horovod/horovod', 0.5429335832595825, 'ml-ops', 3), ('huggingface/transformers', 0.5373498797416687, 'nlp', 3), ('lutzroeder/netron', 0.5334285497665405, 'ml', 4), ('ageron/handson-ml2', 0.5312256813049316, 'ml', 0), ('rafiqhasan/auto-tensorflow', 0.530368983745575, 'ml-dl', 2), ('nvidia/deeplearningexamples', 0.5303577780723572, 'ml-dl', 2), ('huggingface/datasets', 0.5287928581237793, 'nlp', 3), ('pytorch/ignite', 0.5261369943618774, 'ml-dl', 3), ('ggerganov/ggml', 0.525490939617157, 'ml', 1), ('tensorlayer/tensorlayer', 0.5212689638137817, 'ml-rl', 3), ('nvidia/tensorrt-llm', 0.5190548300743103, 'viz', 0), ('tensorflow/tensorflow', 0.5162330865859985, 'ml-dl', 4), ('onnx/onnx', 0.515902578830719, 'ml', 4), ('mdbloice/augmentor', 0.5146579742431641, 'ml', 2), ('keras-team/keras-nlp', 0.5104029178619385, 'nlp', 3), ('keras-team/keras', 0.5103944540023804, 'ml-dl', 3), ('ashleve/lightning-hydra-template', 0.5103277564048767, 'util', 1), ('determined-ai/determined', 0.5096710920333862, 'ml-ops', 3), ('google/gin-config', 0.5091912150382996, 'util', 1), ('dmlc/dgl', 0.5086209774017334, 'ml-dl', 1), ('google-research/deeplab2', 0.5076053738594055, 'ml', 0), ('ddbourgin/numpy-ml', 0.5075183510780334, 'ml', 1)]

207

7

null

0.54

16

13

62

1

4

8

4

16

25

90

1.6

45

212

data

https://github.com/sfu-db/connector-x

[]

null

[]

1

null

sfu-db/connector-x

connector-x

1,656

121

30

Rust

https://sfu-db.github.io/connector-x/intro.html

Fastest library to load data from DB to DataFrames in Rust and Python

sfu-db

2024-01-12

2021-01-13

158

10.42446

https://avatars.githubusercontent.com/u/18023593?v=4

Fastest library to load data from DB to DataFrames in Rust and Python

['database', 'dataframe', 'rust', 'sql']

2024-01-11

[('pola-rs/polars', 0.6430513262748718, 'pandas', 2), ('delta-io/delta-rs', 0.5911102890968323, 'pandas', 1), ('ibis-project/ibis', 0.5806707143783569, 'data', 2), ('eventual-inc/daft', 0.5663425326347351, 'pandas', 2), ('tobymao/sqlglot', 0.5419861674308777, 'data', 1), ('jmcarpenter2/swifter', 0.5345582962036133, 'pandas', 0), ('tiangolo/sqlmodel', 0.5301145911216736, 'data', 1), ('klen/py-frameworks-bench', 0.5208754539489746, 'perf', 0), ('sqlalchemy/sqlalchemy', 0.5162760019302368, 'data', 1), ('samuelcolvin/rtoml', 0.5036177039146423, 'data', 1), ('mcfunley/pugsql', 0.5034618377685547, 'data', 1)]

43

5

null

1.71

33

9

36

0

1

3

1

33

38

90

1.2

45

303

nlp

https://github.com/featureform/embeddinghub

[]

null

[]

null

featureform/embeddinghub

featureform

1,627

91

14

Jupyter Notebook

https://www.featureform.com

The Virtual Feature Store. Turn your existing data infrastructure into a feature store.

featureform

2024-01-13

2020-10-16

171

9.482931

https://avatars.githubusercontent.com/u/72954069?v=4

The Virtual Feature Store. Turn your existing data infrastructure into a feature store.

['data-quality', 'data-science', 'embeddings', 'embeddings-similarity', 'feature-engineering', 'feature-store', 'machine-learning', 'ml', 'mlops', 'vector-database']

2023-12-15

[('feast-dev/feast', 0.7385993599891663, 'ml-ops', 6), ('lancedb/lancedb', 0.6071080565452576, 'data', 1), ('activeloopai/deeplake', 0.6054278016090393, 'ml-ops', 5), ('superduperdb/superduperdb', 0.6010522246360779, 'data', 2), ('airbytehq/airbyte', 0.5929150581359863, 'data', 0), ('mage-ai/mage-ai', 0.5914458632469177, 'ml-ops', 2), ('dgarnitz/vectorflow', 0.5690073370933533, 'data', 2), ('streamlit/streamlit', 0.5492863059043884, 'viz', 2), ('jina-ai/vectordb', 0.549279510974884, 'data', 1), ('netflix/metaflow', 0.5473335981369019, 'ml-ops', 4), ('orchest/orchest', 0.5408744215965271, 'ml-ops', 2), ('polyaxon/polyaxon', 0.5308116674423218, 'ml-ops', 4), ('ploomber/ploomber', 0.529184103012085, 'ml-ops', 3), ('milvus-io/bootcamp', 0.5258285403251648, 'data', 2), ('avaiga/taipy', 0.5199906229972839, 'data', 1), ('meltano/meltano', 0.5155656337738037, 'ml-ops', 0), ('dagster-io/dagster', 0.512913703918457, 'ml-ops', 2), ('flyteorg/flyte', 0.5021466612815857, 'ml-ops', 3), ('huggingface/datasets', 0.5000424981117249, 'nlp', 1)]

30

1

null

11.08

201

147

40

1

20

12

20

201

85

90

0.4

45

1,686

perf

https://github.com/faster-cpython/ideas

['cpython']

Discussion and work tracker for Faster CPython project.

[]

null

faster-cpython/ideas

ideas

1,618

53

130

null

faster-cpython

2024-01-13

2021-03-02

152

10.644737

https://avatars.githubusercontent.com/u/81193161?v=4

Discussion and work tracker for Faster CPython project.

[]

['cpython']

2024-01-03

[('faster-cpython/tools', 0.8179801106452942, 'perf', 1), ('python/cpython', 0.7051501274108887, 'util', 1), ('brandtbucher/specialist', 0.6769110560417175, 'perf', 1), ('markshannon/faster-cpython', 0.6732155084609985, 'perf', 0), ('pypy/pypy', 0.6248586773872375, 'util', 1), ('p403n1x87/austin', 0.6115438938140869, 'profiling', 0), ('ipython/ipyparallel', 0.5969278216362, 'perf', 0), ('cohere-ai/notebooks', 0.5839570760726929, 'llm', 0), ('cython/cython', 0.5725173354148865, 'util', 1), ('facebookincubator/cinder', 0.5721518397331238, 'perf', 1), ('agronholm/apscheduler', 0.5676429867744446, 'util', 0), ('wxwidgets/phoenix', 0.563103973865509, 'gui', 0), ('pyston/pyston', 0.5621926188468933, 'util', 0), ('wesm/pydata-book', 0.5588380694389343, 'study', 0), ('scikit-build/scikit-build', 0.5575029253959656, 'ml', 1), ('fastai/fastcore', 0.5519487857818604, 'util', 0), ('ipython/ipython', 0.5474236607551575, 'util', 0), ('gotcha/ipdb', 0.5395191311836243, 'debug', 0), ('eleutherai/pyfra', 0.5366376042366028, 'ml', 0), ('pytorch/data', 0.5340155959129333, 'data', 0), ('reloadware/reloadium', 0.5288839936256409, 'profiling', 0), ('tqdm/tqdm', 0.5260686874389648, 'term', 0), ('rasbt/watermark', 0.5214296579360962, 'util', 0), ('hoffstadt/dearpygui', 0.5212865471839905, 'gui', 0), ('sumerc/yappi', 0.5191786289215088, 'profiling', 0), ('fchollet/deep-learning-with-python-notebooks', 0.5187180638313293, 'study', 0), ('intel/intel-extension-for-pytorch', 0.5159723162651062, 'perf', 0), ('willmcgugan/textual', 0.5151427388191223, 'term', 0), ('alexmojaki/snoop', 0.5135080814361572, 'debug', 0), ('erotemic/ubelt', 0.5061014890670776, 'util', 0), ('allenai/allennlp', 0.5050787329673767, 'nlp', 0), ('mynameisfiber/high_performance_python_2e', 0.5015802979469299, 'study', 0), ('timofurrer/awesome-asyncio', 0.500760018825531, 'study', 0)]

11

2

null

4.48

25

6

35

0

25

97

90

3.9

45

1,866

data

https://github.com/rapidai/rapidocr

[]

null

[]

null

rapidai/rapidocr

RapidOCR

1,614

266

33

Python

https://rapidai.github.io/RapidOCRDocs/docs/

A cross platform OCR Library based on PaddleOCR & OnnxRuntime & OpenVINO.

rapidai

2024-01-13

2021-01-04

160

10.078501

https://avatars.githubusercontent.com/u/87350760?v=4

A cross platform OCR Library based on PaddleOCR & OnnxRuntime & OpenVINO.

['chineseocr', 'crnn', 'dbnet', 'easyocr', 'ocr', 'onnxruntime', 'openvino', 'paddleocr', 'rapidocr']

2023-12-28

[('jaidedai/easyocr', 0.6983810663223267, 'data', 3), ('hrnet/hrnet-semantic-segmentation', 0.5680984258651733, 'ml', 0), ('madmaze/pytesseract', 0.5656213164329529, 'data', 1), ('unstructured-io/pipeline-paddleocr', 0.5100756287574768, 'data', 1)]

14

4

null

4.33

12

9

37

1

4

12

19

90

1.6

45

1,789

web

https://github.com/indico/indico

[]

null

[]

null

indico/indico

indico

1,591

397

63

Python

https://getindico.io

Indico - A feature-rich event management system, made @ CERN, the place where the Web was born.

indico

2024-01-13

2011-07-27

652

2.43698

https://avatars.githubusercontent.com/u/715236?v=4

Indico - A feature-rich event management system, made @ CERN, the place where the Web was born.

['conferences', 'events', 'flask', 'sqlalchemy']

2024-01-11

[('masoniteframework/masonite', 0.5639700293540955, 'web', 0), ('pallets/flask', 0.5564385056495667, 'web', 1), ('bottlepy/bottle', 0.5327122211456299, 'web', 0), ('brettkromkamp/contextualise', 0.5198062658309937, 'data', 0), ('django/django', 0.514659583568573, 'web', 0), ('dylanhogg/awesome-python', 0.5107914209365845, 'study', 0), ('wagtail/wagtail', 0.5091932415962219, 'web', 0), ('klen/muffin', 0.5037544369697571, 'web', 0), ('emmett-framework/emmett', 0.5001763701438904, 'web', 0), ('feincms/feincms', 0.5001288652420044, 'web', 0)]

142

5

null

9.62

181

120

152

0

6

10

6

181

266

90

1.5

45

1,718

util

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

['code-quality']

null

[]

null

codespell-project/codespell

codespell

1,590

470

24

Python

null

check code for common misspellings

codespell-project

2024-01-14

2011-01-28

678

2.343158

https://avatars.githubusercontent.com/u/39140587?v=4

check code for common misspellings

[]

['code-quality']

2024-01-13

[]

188

5

null

8.06

188

147

158

0

4

3

4

188

287

90

1.5

45

263

data

https://github.com/collerek/ormar

[]

null

[]

null

collerek/ormar

ormar

1,506

78

17

Python

https://collerek.github.io/ormar/

python async orm with fastapi in mind and pydantic validation

collerek

2024-01-13

2020-08-02

182

8.261755

null

python async orm with fastapi in mind and pydantic validation

['alembic', 'async-orm', 'databases', 'fastapi', 'orm', 'pydantic', 'python-orm', 'sqlalchemy']

2024-01-11

[('tiangolo/sqlmodel', 0.6308665871620178, 'data', 3), ('mcfunley/pugsql', 0.6217651963233948, 'data', 1), ('sqlalchemy/sqlalchemy', 0.6017918586730957, 'data', 1), ('python-trio/trio', 0.5920240879058838, 'perf', 0), ('andialbrecht/sqlparse', 0.5768142938613892, 'data', 0), ('s3rius/fastapi-template', 0.5686522722244263, 'web', 2), ('fastai/fastcore', 0.5605081915855408, 'util', 0), ('rawheel/fastapi-boilerplate', 0.5596618056297302, 'web', 5), ('ibis-project/ibis', 0.5441567301750183, 'data', 1), ('pypy/pypy', 0.5436598658561707, 'util', 0), ('aeternalis-ingenium/fastapi-backend-template', 0.5430356860160828, 'web', 3), ('pyeve/cerberus', 0.5298268795013428, 'data', 0), ('pydantic/pydantic', 0.5280044078826904, 'util', 1), ('aminalaee/sqladmin', 0.5242454409599304, 'data', 2), ('python-cachier/cachier', 0.5154281258583069, 'perf', 0), ('pyston/pyston', 0.5057287812232971, 'util', 0), ('eleutherai/pyfra', 0.5003811717033386, 'ml', 0)]

35

5

null

2.88

36

20

42

0

2

22

2

36

32

90

0.9

45

801

web

https://github.com/s3rius/fastapi-template

[]

null

[]

null

s3rius/fastapi-template

FastAPI-template

1,421

126

24

Python

null

Feature rich robust FastAPI template.

s3rius

2024-01-14

2020-10-05

173

8.207096

null

Feature rich robust FastAPI template.

['aerich', 'alembic', 'asynchronous', 'asyncio', 'cookiecutter', 'cookiecutter-python3', 'cookiecutter-template', 'fastapi', 'fastapi-boilerplate', 'fastapi-template', 'graphql', 'opentelemetry', 'ormar', 'prometheus', 'sentry', 'sqlalchemy-orm', 'strawberry-graphql', 'tortoise-orm']

2023-09-12

[('rawheel/fastapi-boilerplate', 0.6903481483459473, 'web', 4), ('asacristani/fastapi-rocket-boilerplate', 0.6634681224822998, 'template', 1), ('tiangolo/fastapi', 0.6399540305137634, 'web', 2), ('buuntu/fastapi-react', 0.6214925646781921, 'template', 2), ('fastai/fastcore', 0.6101469993591309, 'util', 0), ('fastapi-admin/fastapi-admin', 0.6024838089942932, 'web', 2), ('dmontagu/fastapi_client', 0.6021080613136292, 'web', 0), ('aminalaee/sqladmin', 0.5958586931228638, 'data', 2), ('fastapi-users/fastapi-users', 0.595072329044342, 'web', 2), ('vitalik/django-ninja', 0.5742310285568237, 'web', 0), ('aeternalis-ingenium/fastapi-backend-template', 0.5711674690246582, 'web', 3), ('collerek/ormar', 0.5686522722244263, 'data', 2), ('tiangolo/full-stack-fastapi-postgresql', 0.5562103986740112, 'template', 2), ('starlite-api/starlite', 0.5500728487968445, 'web', 1), ('pallets/jinja', 0.5498924255371094, 'util', 0), ('python-restx/flask-restx', 0.5399068593978882, 'web', 0), ('tiangolo/sqlmodel', 0.5149979591369629, 'data', 1), ('awtkns/fastapi-crudrouter', 0.514696478843689, 'web', 2), ('tedivm/robs_awesome_python_template', 0.5110516548156738, 'template', 1), ('klen/muffin', 0.5076808333396912, 'web', 1), ('strawberry-graphql/strawberry', 0.5046817064285278, 'web', 2), ('sumerc/yappi', 0.5003270506858826, 'profiling', 2)]

18

6

null

0.73

13

3

40

4

14

11

14

13

37

90

2.8

45

1,472

data

https://github.com/aminalaee/sqladmin

[]

null

[]

null

aminalaee/sqladmin

sqladmin

1,391

141

12

Python

https://aminalaee.dev/sqladmin/

SQLAlchemy Admin for FastAPI and Starlette

aminalaee

2024-01-12

2021-12-22

109

12.661899

null

SQLAlchemy Admin for FastAPI and Starlette

['admin', 'admin-dashboard', 'asgi', 'asyncio', 'fastapi', 'sqlalchemy', 'starlette', 'web', 'wsgi']

2023-12-13

[('piccolo-orm/piccolo_admin', 0.6254207491874695, 'data', 5), ('fastapi-admin/fastapi-admin', 0.6240462064743042, 'web', 3), ('sqlalchemy/sqlalchemy', 0.6173149347305298, 'data', 1), ('aeternalis-ingenium/fastapi-backend-template', 0.6071468591690063, 'web', 2), ('s3rius/fastapi-template', 0.5958586931228638, 'web', 2), ('rawheel/fastapi-boilerplate', 0.5917928218841553, 'web', 2), ('tiangolo/sqlmodel', 0.5850541591644287, 'data', 2), ('mause/duckdb_engine', 0.5703755021095276, 'data', 1), ('sqlalchemy/alembic', 0.5552855730056763, 'data', 1), ('starlite-api/starlite', 0.5524939894676208, 'web', 2), ('fastapi-users/fastapi-users', 0.5336757302284241, 'web', 3), ('collerek/ormar', 0.5242454409599304, 'data', 2), ('neoteroi/blacksheep', 0.5168036818504333, 'web', 3), ('ibis-project/ibis', 0.512384831905365, 'data', 1), ('agronholm/sqlacodegen', 0.5044848918914795, 'data', 0), ('pallets/werkzeug', 0.5044029355049133, 'web', 1)]

46

1

null

2.08

45

32

25

1

14

17

14

45

55

90

1.2

45

1,185

ml

https://github.com/castorini/pyserini

[]

null

[]

null

castorini/pyserini

pyserini

1,269

283

16

Python

http://pyserini.io/

Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.

castorini

2024-01-12

2019-11-01

221

5.727273

https://avatars.githubusercontent.com/u/26842848?v=4

Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.

['information-retrieval']

2024-01-11

[('facebookresearch/dpr-scale', 0.5861307978630066, 'nlp', 0), ('qdrant/fastembed', 0.556861937046051, 'ml', 0), ('harangju/wikinet', 0.5286003351211548, 'data', 0), ('kagisearch/vectordb', 0.5248305201530457, 'data', 0), ('paddlepaddle/rocketqa', 0.5224674940109253, 'nlp', 1), ('qdrant/qdrant-client', 0.5034437775611877, 'util', 0)]

148

2

null

4.27

99

89

51

0

6

8

6

99

93

90

0.9

45

743

data

https://github.com/pytorch/data

[]

null

[]

null

pytorch/data

data

1,044

136

33

Python

null

A PyTorch repo for data loading and utilities to be shared by the PyTorch domain libraries.

pytorch

2024-01-13

2021-05-12

141

7.359517

https://avatars.githubusercontent.com/u/21003710?v=4

A PyTorch repo for data loading and utilities to be shared by the PyTorch domain libraries.

[]

2024-01-13

[('intel/intel-extension-for-pytorch', 0.6773589849472046, 'perf', 0), ('nvidia/apex', 0.6665452122688293, 'ml-dl', 0), ('pytorch/ignite', 0.655742347240448, 'ml-dl', 0), ('skorch-dev/skorch', 0.631018877029419, 'ml-dl', 0), ('rasbt/machine-learning-book', 0.6106820106506348, 'study', 0), ('parallel-domain/pd-sdk', 0.6059823036193848, 'data', 0), ('erotemic/ubelt', 0.5979729294776917, 'util', 0), ('allenai/allennlp', 0.5899907946586609, 'nlp', 0), ('pytorch/torchrec', 0.5872920751571655, 'ml-dl', 0), ('fastai/fastcore', 0.5834670066833496, 'util', 0), ('ashleve/lightning-hydra-template', 0.5815867781639099, 'util', 0), ('pytorch-labs/gpt-fast', 0.5759943723678589, 'llm', 0), ('karpathy/micrograd', 0.5738345980644226, 'study', 0), ('rentruewang/koila', 0.5698388814926147, 'ml', 0), ('faster-cpython/tools', 0.5645531415939331, 'perf', 0), ('mrdbourke/pytorch-deep-learning', 0.5634875893592834, 'study', 0), ('kshitij12345/torchnnprofiler', 0.5611929297447205, 'profiling', 0), ('huggingface/accelerate', 0.5591470003128052, 'ml', 0), ('blackhc/toma', 0.5554980635643005, 'ml-dl', 0), ('pytoolz/toolz', 0.5517788529396057, 'util', 0), ('pyg-team/pytorch_geometric', 0.5495861768722534, 'ml-dl', 0), ('nvidia/cuda-python', 0.5482061505317688, 'ml', 0), ('pytorch/captum', 0.5359891057014465, 'ml-interpretability', 0), ('faster-cpython/ideas', 0.5340155959129333, 'perf', 0), ('facebookresearch/pytorch3d', 0.5338151454925537, 'ml-dl', 0), ('arogozhnikov/einops', 0.5333592891693115, 'ml-dl', 0), ('google/gin-config', 0.5325197577476501, 'util', 0), ('huggingface/transformers', 0.5293325185775757, 'nlp', 0), ('pytorch/rl', 0.5270489454269409, 'ml-rl', 0), ('p403n1x87/austin', 0.5269789695739746, 'profiling', 0), ('laekov/fastmoe', 0.5255650877952576, 'ml', 0), ('pypy/pypy', 0.5254920721054077, 'util', 0), ('gotcha/ipdb', 0.5220991969108582, 'debug', 0), ('dlt-hub/dlt', 0.5167723298072815, 'data', 0), ('ipython/ipyparallel', 0.5157786011695862, 'perf', 0), ('graphistry/pygraphistry', 0.5149250030517578, 'data', 0), ('xl0/lovely-tensors', 0.5113422274589539, 'ml-dl', 0), ('jovianml/opendatasets', 0.5112810730934143, 'data', 0), ('imageio/imageio', 0.5112005472183228, 'util', 0), ('wesm/pydata-book', 0.5109310746192932, 'study', 0), ('denys88/rl_games', 0.5077896118164062, 'ml-rl', 0), ('uber/petastorm', 0.5076653361320496, 'data', 0), ('timdettmers/bitsandbytes', 0.5031000375747681, 'util', 0), ('kubeflow/fairing', 0.5028988122940063, 'ml-ops', 0), ('qdrant/fastembed', 0.5008647441864014, 'ml', 0)]

79

7

null

2.08

14

8

33

0

4

9

4

14

15

90

1.1

45

1,836

ml

https://github.com/spotify/voyager

[]

null

[]

null

spotify/voyager

voyager

1,024

33

10

C++

https://spotify.github.io/voyager/

🛰️ Voyager is an approximate nearest-neighbor search library for Python and Java with a focus on ease of use, simplicity, and deployability.

spotify

2024-01-14

2023-04-13

41

24.547945

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

🛰️ Voyager is an approximate nearest-neighbor search library for Python and Java with a focus on ease of use, simplicity, and deployability.

['hnsw', 'hnswlib', 'java', 'machine-learning', 'nearest-neighbor-search']

2023-12-07

[('lmcinnes/pynndescent', 0.6540524363517761, 'ml', 1), ('spotify/annoy', 0.6272151470184326, 'ml', 1), ('nmslib/hnswlib', 0.5946098566055298, 'ml', 0), ('erotemic/ubelt', 0.5305669903755188, 'util', 0), ('scikit-learn-contrib/metric-learn', 0.503491997718811, 'ml', 1), ('pycaret/pycaret', 0.502596914768219, 'ml', 1), ('radiantearth/radiant-mlhub', 0.5025808811187744, 'gis', 1)]

5

2

null

1.15

23

13

9

1

7

11

7

23

19

90

0.8

45

1,321

ml-dl

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

['keras', 'computer-vision']

null

[]

null

keras-team/keras-cv

keras-cv

888

285

32

Python

null

Industry-strength Computer Vision workflows with Keras

keras-team

2024-01-13

2020-05-18

193

4.597633

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

Industry-strength Computer Vision workflows with Keras

[]

['computer-vision', 'keras']

2024-01-12

[('roboflow/supervision', 0.640568733215332, 'ml', 1), ('nyandwi/modernconvnets', 0.6089338064193726, 'ml-dl', 2), ('deci-ai/super-gradients', 0.5779148936271667, 'ml-dl', 1), ('keras-team/keras-nlp', 0.5433396697044373, 'nlp', 1), ('lutzroeder/netron', 0.5374981760978699, 'ml', 1), ('huggingface/datasets', 0.535764217376709, 'nlp', 1), ('hysts/pytorch_image_classification', 0.5079523921012878, 'ml-dl', 1), ('aleju/imgaug', 0.5068478584289551, 'ml', 0), ('onnx/onnx', 0.5009073615074158, 'ml', 1), ('nvidia/deeplearningexamples', 0.5008230805397034, 'ml-dl', 1)]

89

2

null

8.73

251

196

44

0

21

12

21

251

321

90

1.3

45

324

security

https://github.com/trailofbits/pip-audit

[]

null

[]

null

trailofbits/pip-audit

pip-audit

877

60

25

Python

https://pypi.org/project/pip-audit/

Audits Python environments and dependency trees for known vulnerabilities

trailofbits

2024-01-13

2021-09-02

125

6.976136

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

Audits Python environments and dependency trees for known vulnerabilities

['pip', 'security', 'security-audit', 'supply-chain']

2024-01-12

[('pyupio/safety', 0.7114713788032532, 'security', 1), ('aswinnnn/pyscan', 0.6042621731758118, 'security', 2), ('pdm-project/pdm', 0.54820716381073, 'util', 0), ('tiiuae/sbomnix', 0.5466781258583069, 'util', 1), ('alexmojaki/snoop', 0.5462668538093567, 'debug', 0), ('klen/pylama', 0.5406633019447327, 'util', 0), ('pypa/pipenv', 0.531186044216156, 'util', 1), ('legrandin/pycryptodome', 0.5239244103431702, 'util', 1), ('pypa/hatch', 0.5167754292488098, 'util', 0), ('jazzband/pip-tools', 0.5135653614997864, 'util', 1), ('thoth-station/micropipenv', 0.5130209922790527, 'util', 1), ('ethereum/web3.py', 0.5048879981040955, 'crypto', 0), ('tox-dev/pipdeptree', 0.5004677176475525, 'util', 1)]

27

4

null

3.29

47

40

29

0

14

23

14

47

40

90

0.9

45

1,888

ml

https://github.com/oml-team/open-metric-learning

['pytorch', 'embeddings']

OML is a PyTorch-based framework to train and validate the models producing high-quality embeddings.

[]

null

oml-team/open-metric-learning

open-metric-learning

716

45

10

Jupyter Notebook

https://open-metric-learning.readthedocs.io/en/latest/index.html

Library for metric learning pipelines and models.

oml-team

2024-01-12

2022-06-04

86

8.284298

https://avatars.githubusercontent.com/u/104944039?v=4

Library for metric learning pipelines and models.

['computer-vision', 'data-science', 'deep-learning', 'hacktoberfest-2023', 'hacktoberfest2023', 'metric-learning', 'pytorch', 'pytorch-lightning', 'representation-learning', 'similarity-learning']

['computer-vision', 'data-science', 'deep-learning', 'embeddings', 'hacktoberfest-2023', 'hacktoberfest2023', 'metric-learning', 'pytorch', 'pytorch-lightning', 'representation-learning', 'similarity-learning']

2023-12-30

[('kevinmusgrave/pytorch-metric-learning', 0.7173192501068115, 'ml', 5), ('scikit-learn-contrib/metric-learn', 0.6861700415611267, 'ml', 1), ('qdrant/quaterion', 0.618319571018219, 'ml', 5), ('pytorch/ignite', 0.6061093807220459, 'ml-dl', 2), ('rasbt/machine-learning-book', 0.5796335339546204, 'study', 2), ('ashleve/lightning-hydra-template', 0.5497283339500427, 'util', 3), ('roboflow/supervision', 0.5494734644889832, 'ml', 3), ('uber/petastorm', 0.5485543012619019, 'data', 2), ('ggerganov/ggml', 0.5477278232574463, 'ml', 0), ('tensorflow/tensorflow', 0.5407246947288513, 'ml-dl', 1), ('pytorch/torchrec', 0.5388403534889221, 'ml-dl', 2), ('neuralmagic/sparseml', 0.5373204350471497, 'ml-dl', 1), ('tensorflow/similarity', 0.5347641706466675, 'ml-dl', 3), ('huggingface/transformers', 0.5327936410903931, 'nlp', 2), ('featurelabs/featuretools', 0.5298222899436951, 'ml', 1), ('catboost/catboost', 0.5297994017601013, 'ml', 1), ('huggingface/datasets', 0.528002142906189, 'nlp', 3), ('dmlc/xgboost', 0.5269960761070251, 'ml', 0), ('pyg-team/pytorch_geometric', 0.5263068079948425, 'ml-dl', 2), ('lightly-ai/lightly', 0.5244993567466736, 'ml', 4), ('tensorflow/data-validation', 0.5238116979598999, 'ml-ops', 0), ('huggingface/evaluate', 0.5213491320610046, 'ml', 0), ('aws/sagemaker-python-sdk', 0.5199127197265625, 'ml', 1), ('skorch-dev/skorch', 0.5191598534584045, 'ml-dl', 1), ('deci-ai/super-gradients', 0.5170210599899292, 'ml-dl', 3), ('pycaret/pycaret', 0.5165910124778748, 'ml', 1), ('tensorflow/tensor2tensor', 0.5146539211273193, 'ml', 1), ('tensorlayer/tensorlayer', 0.5133138298988342, 'ml-rl', 1), ('gradio-app/gradio', 0.5132337808609009, 'viz', 2), ('microsoft/flaml', 0.5119624733924866, 'ml', 2), ('keras-team/autokeras', 0.5088566541671753, 'ml-dl', 1), ('cvxgrp/pymde', 0.5077699422836304, 'ml', 1), ('microsoft/nni', 0.5069662928581238, 'ml', 3), ('intel/intel-extension-for-pytorch', 0.506502091884613, 'perf', 2)]

20

4

null

2.87

56

52

20

0

12

56

52

90

0.9

45

948

ml

https://github.com/facebookresearch/balance

[]

null

[]

null

facebookresearch/balance

balance

656

42

6

Python

https://import-balance.org

The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to some target population of interest.

facebookresearch

2024-01-11

2022-11-15

63

10.412698

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

The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to some target population of interest.

[]

2023-12-07

[('scikit-learn-contrib/imbalanced-learn', 0.5837095379829407, 'ml', 0)]

19

5

null

1.88

1

14

1

9

1

3

90

3

45

1,422

sim

https://github.com/bowang-lab/scgpt

[]

scGPT: Towards Building a Foundation Model for Single-Cell Multi-omics Using Generative AI

[]

null

bowang-lab/scgpt

scGPT

584

91

29

Jupyter Notebook

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

null

bowang-lab

2024-01-11

2023-04-23

40

14.496454

https://avatars.githubusercontent.com/u/50999261?v=4

scGPT: Towards Building a Foundation Model for Single-Cell Multi-omics Using Generative AI

['foundation-model', 'gpt', 'single-cell']

2024-01-13

[]

6

1

null

2.83

56

43

9

0

7

9

7

56

109

90

1.9

45

1,882

sim

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

[]

null

[]

null

google-deepmind/concordia

concordia

207

24

13

Python

null

A library for generative social simulation

google-deepmind

2024-01-13

2023-11-21

10

20.7

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

A library for generative social simulation

['agent-based-simulation', 'generative-agents', 'multi-agent', 'social-simulation']

2024-01-09

[('humanoidagents/humanoidagents', 0.640636682510376, 'sim', 0), ('projectmesa/mesa', 0.6392713785171509, 'sim', 1), ('crowddynamics/crowddynamics', 0.5502240657806396, 'sim', 1)]

11

6

null

2.15

17

16

2

0

1

6

1

17

18

90

1.1

45

963

ml-rl

https://github.com/openai/baselines

[]

null

[]

null

openai/baselines

baselines

15,098

4,861

648

Python

null

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

openai

2024-01-14

2017-05-24

348

43.27846

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

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

[]

2020-01-31

[('thu-ml/tianshou', 0.6823237538337708, 'ml-rl', 0), ('denys88/rl_games', 0.5995540618896484, 'ml-rl', 0), ('salesforce/warp-drive', 0.5866561532020569, 'ml-rl', 0), ('humancompatibleai/imitation', 0.5837662816047668, 'ml-rl', 0), ('farama-foundation/gymnasium', 0.5754907131195068, 'ml-rl', 0), ('google/dopamine', 0.5650805830955505, 'ml-rl', 0), ('nvidia-omniverse/omniisaacgymenvs', 0.5605931282043457, 'sim', 0), ('unity-technologies/ml-agents', 0.5591613054275513, 'ml-rl', 0), ('openai/gym', 0.5574614405632019, 'ml-rl', 0), ('keras-rl/keras-rl', 0.5544887781143188, 'ml-rl', 0), ('pytorch/rl', 0.5460628867149353, 'ml-rl', 0), ('pettingzoo-team/pettingzoo', 0.5400475859642029, 'ml-rl', 0), ('google/trax', 0.5311444401741028, 'ml-dl', 0), ('nvidia-omniverse/isaacgymenvs', 0.5117769837379456, 'sim', 0), ('kzl/decision-transformer', 0.5097741484642029, 'ml-rl', 0), ('openai/spinningup', 0.5069130063056946, 'study', 0), ('inspirai/timechamber', 0.5040830969810486, 'sim', 0)]

115

3

null

0

5

2

81

48

0

5

1

90

0.2

44

156

data

https://github.com/s0md3v/photon

[]

null

[]

null

s0md3v/photon

Photon

10,251

1,459

324

Python

null

Incredibly fast crawler designed for OSINT.

s0md3v

2024-01-14

2018-03-30

304

33.657129

null

Incredibly fast crawler designed for OSINT.

['crawler', 'information-gathering', 'osint', 'spider']

2022-12-20

[('binux/pyspider', 0.7611035108566284, 'data', 1), ('scrapy/scrapy', 0.6149922609329224, 'data', 1)]

21

3

null

0

4

0

70

13

0

3

4

1

90

0.2

44

1,057

ml-rl

https://github.com/deepmind/pysc2

[]

null

[]

null

deepmind/pysc2

pysc2

7,863

1,164

352

Python

null

StarCraft II Learning Environment

deepmind

2024-01-12

2017-07-25

340

23.126471

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

StarCraft II Learning Environment

['blizzard-api', 'deepmind', 'machine-learning', 'reinforcement-learning', 'starcraft-ii', 'starcraft-ii-replays']

2023-04-19

[('pettingzoo-team/pettingzoo', 0.5372393131256104, 'ml-rl', 1), ('farama-foundation/gymnasium', 0.5224155187606812, 'ml-rl', 1), ('unity-technologies/ml-agents', 0.5204218029975891, 'ml-rl', 2), ('google/trax', 0.5190588235855103, 'ml-dl', 2), ('keras-rl/keras-rl', 0.5143329501152039, 'ml-rl', 2)]

39

4

null

0.13

4

1

79

9

0

1

4

3

90

0.8

44

675

ml

https://github.com/hips/autograd

[]

null

[]

null

hips/autograd

autograd

6,644

908

218

Python

null

Efficiently computes derivatives of numpy code.

hips

2024-01-13

2014-11-24

479

13.866428

https://avatars.githubusercontent.com/u/7935606?v=4

Efficiently computes derivatives of numpy code.

[]

2023-11-16

[('google/jax', 0.5986758470535278, 'ml', 0), ('numpy/numpy', 0.5689885020256042, 'math', 0), ('numba/numba', 0.5151181817054749, 'perf', 0), ('cupy/cupy', 0.5063801407814026, 'math', 0), ('andgoldschmidt/derivative', 0.5045579075813293, 'math', 0)]

56

7

null

0.54

37

3

111

2

0

37

8

90

0.2

44

1,647

util

https://github.com/evhub/coconut

['functional']

null

[]

null

evhub/coconut

coconut

3,868

116

62

Python

http://coconut-lang.org

Simple, elegant, Pythonic functional programming.

evhub

2024-01-13

2014-10-04

486

7.951836

null

Simple, elegant, Pythonic functional programming.

['coconut', 'compiler', 'functional', 'functional-language', 'functional-programming', 'language', 'programming-language', 'xonsh', 'xontrib']

2023-11-28

[('pytoolz/toolz', 0.6476520895957947, 'util', 0), ('suor/funcy', 0.6461945176124573, 'util', 1), ('google/pyglove', 0.583031415939331, 'util', 0), ('fastai/fastcore', 0.5812950730323792, 'util', 1), ('modularml/mojo', 0.5474485754966736, 'util', 2), ('pypy/pypy', 0.544915497303009, 'util', 1), ('dylanhogg/awesome-python', 0.5391582250595093, 'study', 0), ('lukaszahradnik/pyneuralogic', 0.5328680872917175, 'math', 0), ('python/cpython', 0.5319302678108215, 'util', 0), ('stanfordnlp/dspy', 0.5305084586143494, 'llm', 0), ('explosion/thinc', 0.5264431834220886, 'ml-dl', 1), ('1200wd/bitcoinlib', 0.5255511403083801, 'crypto', 0), ('pygamelib/pygamelib', 0.5140511989593506, 'gamedev', 0), ('fluentpython/example-code-2e', 0.5133896470069885, 'study', 0), ('pyston/pyston', 0.5107958316802979, 'util', 0), ('gondolav/pyfuncol', 0.5076735019683838, 'util', 1), ('xonsh/xonsh', 0.5075111985206604, 'util', 1), ('norvig/pytudes', 0.5068784356117249, 'util', 0), ('joblib/joblib', 0.5061070322990417, 'util', 0), ('tiangolo/typer', 0.5052512884140015, 'term', 0), ('pyparsing/pyparsing', 0.504447877407074, 'util', 0), ('sloria/textblob', 0.5033293962478638, 'nlp', 0), ('pyomo/pyomo', 0.5014179944992065, 'math', 0)]

33

3

null

6.79

36

24

113

2

5

4

5

36

25

90

0.7

44

907

util

https://github.com/ets-labs/python-dependency-injector

[]

null

[]

1

null

ets-labs/python-dependency-injector

python-dependency-injector

3,414

307

48

Python

https://python-dependency-injector.ets-labs.org/

Dependency injection framework for Python

ets-labs

2024-01-13

2015-01-04

473

7.213402

https://avatars.githubusercontent.com/u/11329744?v=4

Dependency injection framework for Python

['aiohttp', 'asyncio', 'dependency-injection', 'dependency-injection-container', 'dependency-injection-framework', 'design-patterns', 'factory', 'flask', 'flask-application', 'flask-restful', 'ioc', 'ioc-container', 'singleton', 'threadlocal']

2022-12-19

[('allrod5/injectable', 0.6628846526145935, 'util', 2), ('python-injector/injector', 0.6611223220825195, 'util', 2), ('ivankorobkov/python-inject', 0.6299859881401062, 'util', 1), ('aio-libs/aiohttp', 0.5857105255126953, 'web', 2), ('pallets/flask', 0.5796188712120056, 'web', 1), ('timofurrer/awesome-asyncio', 0.5701932311058044, 'study', 1), ('bottlepy/bottle', 0.5632432699203491, 'web', 0), ('klen/muffin', 0.5598342418670654, 'web', 1), ('python-restx/flask-restx', 0.551591694355011, 'web', 1), ('falconry/falcon', 0.5372539758682251, 'web', 0), ('neoteroi/blacksheep', 0.5310226678848267, 'web', 1), ('pallets/quart', 0.5255832672119141, 'web', 1), ('alirn76/panther', 0.516931414604187, 'web', 0), ('eleutherai/pyfra', 0.5152551531791687, 'ml', 0), ('python-poetry/poetry', 0.510571300983429, 'util', 0), ('sumerc/yappi', 0.5105165839195251, 'profiling', 1), ('encode/uvicorn', 0.5008002519607544, 'web', 1), ('backtick-se/cowait', 0.500067412853241, 'util', 0)]

29

7

null

0

35

6

110

13

0

36

35

80

90

2.3

44

1,219

ml

https://github.com/py-why/econml

[]

null

[]

null

py-why/econml

EconML

3,385

655

75

Jupyter Notebook

https://www.microsoft.com/en-us/research/project/alice/

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

py-why

2024-01-13

2018-04-30

300

11.277963

https://avatars.githubusercontent.com/u/101266056?v=4

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

['causal-inference', 'causality', 'econometrics', 'economics', 'machine-learning', 'treatment-effects']

2024-01-12

[('py-why/dowhy', 0.5789477229118347, 'ml', 4), ('uber/causalml', 0.5542822480201721, 'ml', 2), ('mckinsey/causalnex', 0.5422161221504211, 'math', 2)]

34

3

null

0.96

35

18

69

0

1

5

1

35

27

90

0.8

44

271

data

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

[]

null

[]

null

praw-dev/praw

praw

3,248

461

73

Python

http://praw.readthedocs.io/

PRAW, an acronym for "Python Reddit API Wrapper", is a python package that allows for simple access to Reddit's API.

praw-dev

2024-01-13

2010-08-19

701

4.628664

https://avatars.githubusercontent.com/u/1696888?v=4

PRAW, an acronym for "Python Reddit API Wrapper", is a python package that allows for simple access to Reddit's API.

['api', 'oauth', 'praw', 'reddit', 'reddit-api']

2024-01-10

[('praw-dev/asyncpraw', 0.8785129189491272, 'ml-dl', 5)]

226

4

null

1.31

36

27

163

0

2

12

2

36

48

90

1.3

44

690

ml-dl

https://github.com/deepmind/dm-haiku

[]

null

[]

null

deepmind/dm-haiku

dm-haiku

2,675

222

39

Python

https://dm-haiku.readthedocs.io

JAX-based neural network library

deepmind

2024-01-14

2020-02-18

206

12.985437

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

JAX-based neural network library

['deep-learning', 'deep-neural-networks', 'jax', 'machine-learning', 'neural-networks']

2023-11-30

[('deepmind/synjax', 0.7001689076423645, 'math', 1), ('google/flax', 0.6950955986976624, 'ml-dl', 1), ('google/trax', 0.6491378545761108, 'ml-dl', 3), ('keras-team/keras', 0.6441159844398499, 'ml-dl', 4), ('explosion/thinc', 0.6371207237243652, 'ml-dl', 3), ('huggingface/transformers', 0.6224076747894287, 'nlp', 3), ('sanchit-gandhi/whisper-jax', 0.6133875846862793, 'ml', 2), ('alpa-projects/alpa', 0.6117678284645081, 'ml-dl', 3), ('deepmind/kfac-jax', 0.5966999530792236, 'math', 2), ('google/evojax', 0.5894790291786194, 'sim', 1), ('deepmind/chex', 0.5875384211540222, 'ml-dl', 1), ('tensorflow/tensorflow', 0.5688497424125671, 'ml-dl', 3), ('tensorlayer/tensorlayer', 0.5642551183700562, 'ml-rl', 1), ('uber/petastorm', 0.557473361492157, 'data', 2), ('onnx/onnx', 0.542344868183136, 'ml', 3), ('microsoft/onnxruntime', 0.540787935256958, 'ml', 3), ('ml-tooling/opyrator', 0.5379303097724915, 'viz', 1), ('karpathy/micrograd', 0.5368869304656982, 'study', 0), ('pytorch/ignite', 0.5363015532493591, 'ml-dl', 2), ('horovod/horovod', 0.5358175039291382, 'ml-ops', 2), ('keras-team/autokeras', 0.5257297158241272, 'ml-dl', 2), ('young-geng/easylm', 0.5241255164146423, 'llm', 2), ('aiqc/aiqc', 0.5235515236854553, 'ml-ops', 0), ('apache/incubator-mxnet', 0.522907018661499, 'ml-dl', 0), ('microsoft/deepspeed', 0.5188496112823486, 'ml-dl', 2), ('microsoft/nni', 0.5166778564453125, 'ml', 2), ('rasbt/machine-learning-book', 0.5160495638847351, 'study', 3), ('titanml/takeoff', 0.5155620574951172, 'llm', 0), ('tensorflow/tensor2tensor', 0.5139560103416443, 'ml', 2), ('arogozhnikov/einops', 0.5126287341117859, 'ml-dl', 2), ('nvidia/deeplearningexamples', 0.5113754868507385, 'ml-dl', 1), ('d2l-ai/d2l-en', 0.5113567113876343, 'study', 3), ('denys88/rl_games', 0.507714569568634, 'ml-rl', 1), ('mlflow/mlflow', 0.50584477186203, 'ml-ops', 1), ('adap/flower', 0.5038338303565979, 'ml-ops', 2)]

79

5

null

1.83

23

19

48

2

1

3

1

23

4

90

0.2

44

1,812

llm

https://github.com/paperswithcode/galai

['scientific', 'citations', 'language-model']

null

[]

null

paperswithcode/galai

galai

2,613

274

44

Jupyter Notebook

null

Model API for GALACTICA

paperswithcode

2024-01-13

2022-11-15

63

41.47619

https://avatars.githubusercontent.com/u/40305508?v=4

Model API for GALACTICA

[]

['citations', 'language-model', 'scientific']

2023-02-14

[('princeton-nlp/alce', 0.6015400290489197, 'llm', 1), ('tatsu-lab/stanford_alpaca', 0.5739641785621643, 'llm', 1), ('hannibal046/awesome-llm', 0.5614985823631287, 'study', 1), ('freedomintelligence/llmzoo', 0.5310094356536865, 'llm', 1), ('ctlllll/llm-toolmaker', 0.5114402174949646, 'llm', 1), ('urschrei/pyzotero', 0.5094993710517883, 'util', 1)]

7

3

null

0.1

1

0

14

11

0

3

1

90

1

44

1,431

util

https://github.com/tox-dev/pipdeptree

['cli', 'dependencies', 'packages']

null

[]

null

tox-dev/pipdeptree

pipdeptree

2,606

141

31

Python

https://pypi.python.org/pypi/pipdeptree

A command line utility to display dependency tree of the installed Python packages

tox-dev

2024-01-13

2014-02-02

521

4.999178

https://avatars.githubusercontent.com/u/20345659?v=4

A command line utility to display dependency tree of the installed Python packages

['dependency-graph', 'pip']

['cli', 'dependencies', 'dependency-graph', 'packages', 'pip']

2024-01-10

[('mitsuhiko/rye', 0.5925803780555725, 'util', 0), ('pypi/warehouse', 0.5815759897232056, 'util', 0), ('python-poetry/poetry', 0.5638055205345154, 'util', 0), ('pdm-project/pdm', 0.5571689605712891, 'util', 0), ('hugovk/pypistats', 0.5279873609542847, 'util', 1), ('pypa/hatch', 0.5165544152259827, 'util', 1), ('pyodide/micropip', 0.5127100944519043, 'util', 0), ('trailofbits/pip-audit', 0.5004677176475525, 'security', 1)]

43

5

null

1.63

21

121

0

23

5

23

21

16

90

0.8

44

201

util

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

[]

null

[]

null

camelot-dev/camelot

camelot

2,490

408

45

Python

https://camelot-py.readthedocs.io

A Python library to extract tabular data from PDFs

camelot-dev

2024-01-14

2019-07-01

239

10.412186

https://avatars.githubusercontent.com/u/43926448?v=4

A Python library to extract tabular data from PDFs

[]

2023-10-02

[('py-pdf/pypdf2', 0.6539286971092224, 'util', 0), ('astanin/python-tabulate', 0.6331050395965576, 'util', 0), ('pyfpdf/fpdf2', 0.5940113663673401, 'util', 0), ('paperswithcode/axcell', 0.577544093132019, 'util', 0), ('wireservice/csvkit', 0.567770779132843, 'util', 0), ('unstructured-io/pipeline-paddleocr', 0.5457990169525146, 'data', 0), ('jazzband/tablib', 0.5369576811790466, 'data', 0), ('pypdfium2-team/pypdfium2', 0.5336915850639343, 'util', 0), ('jorisschellekens/borb', 0.5273860692977905, 'util', 0), ('jazzband/prettytable', 0.5252398252487183, 'term', 0)]

46

4

null

0.65

50

17

55

3

0

6

50

37

90

0.7

44

1,622

data

https://github.com/kayak/pypika

['sql']

null

[]

null

kayak/pypika

pypika

2,260

273

35

Python

http://pypika.readthedocs.io/en/latest/

PyPika is a python SQL query builder that exposes the full richness of the SQL language using a syntax that reflects the resulting query. PyPika excels at all sorts of SQL queries but is especially useful for data analysis.

kayak

2024-01-13

2016-07-06

394

5.723589

https://avatars.githubusercontent.com/u/521891?v=4

PyPika is a python SQL query builder that exposes the full richness of the SQL language using a syntax that reflects the resulting query. PyPika excels at all sorts of SQL queries but is especially useful for data analysis.

['builder', 'data', 'functional', 'pythonic', 'query', 'sql']

2023-12-10

[('ibis-project/ibis', 0.6313249468803406, 'data', 1), ('tiangolo/sqlmodel', 0.6139056086540222, 'data', 1), ('sqlalchemy/sqlalchemy', 0.5847384333610535, 'data', 1), ('macbre/sql-metadata', 0.5715281367301941, 'data', 1), ('andialbrecht/sqlparse', 0.5649843811988831, 'data', 0), ('tobymao/sqlglot', 0.5631858706474304, 'data', 1), ('mcfunley/pugsql', 0.5262505412101746, 'data', 1)]

98

3

null

0.21

29

4

92

1

0

10

28

57

90

2

44

761

ml-dl

https://github.com/fepegar/torchio

[]

null

[]

null

fepegar/torchio

torchio

1,902

219

18

Python

http://www.torchio.org

Medical imaging toolkit for deep learning

fepegar

2024-01-13

2019-11-26

218

8.724771

null

Medical imaging toolkit for deep learning

['augmentation', 'data-augmentation', 'deep-learning', 'machine-learning', 'medical-image-analysis', 'medical-image-computing', 'medical-image-processing', 'medical-images', 'medical-imaging-datasets', 'medical-imaging-with-deep-learning', 'pytorch']

2024-01-13

[('project-monai/monai', 0.8480987548828125, 'ml', 4), ('aleju/imgaug', 0.5931549072265625, 'ml', 3), ('albumentations-team/albumentations', 0.5927706956863403, 'ml-dl', 3), ('mdbloice/augmentor', 0.5896494388580322, 'ml', 3), ('keras-team/keras', 0.5828122496604919, 'ml-dl', 3), ('open-mmlab/mmsegmentation', 0.5752494931221008, 'ml', 1), ('huggingface/datasets', 0.574800968170166, 'nlp', 3), ('onnx/onnx', 0.5600517392158508, 'ml', 3), ('microsoft/onnxruntime', 0.5472385883331299, 'ml', 3), ('tensorflow/tensor2tensor', 0.5404090285301208, 'ml', 2), ('deepfakes/faceswap', 0.5368450880050659, 'ml-dl', 2), ('mosaicml/composer', 0.5322839617729187, 'ml-dl', 3), ('lutzroeder/netron', 0.531164288520813, 'ml', 3), ('explosion/thinc', 0.5309528112411499, 'ml-dl', 3), ('nvidia/deeplearningexamples', 0.5291038155555725, 'ml-dl', 2), ('tensorflow/tensorflow', 0.5249353647232056, 'ml-dl', 2), ('neuralmagic/sparseml', 0.5229683518409729, 'ml-dl', 1), ('open-mmlab/mmediting', 0.5203762650489807, 'ml', 2), ('iperov/deepfacelab', 0.5164421200752258, 'ml-dl', 2), ('microsoft/deepspeed', 0.5152624845504761, 'ml-dl', 3), ('nyandwi/modernconvnets', 0.5130273699760437, 'ml-dl', 0), ('roboflow/supervision', 0.5101572871208191, 'ml', 3), ('ddbourgin/numpy-ml', 0.507611870765686, 'ml', 1), ('rwightman/pytorch-image-models', 0.5073763728141785, 'ml-dl', 1), ('tensorlayer/tensorlayer', 0.5055205225944519, 'ml-rl', 1), ('lucidrains/imagen-pytorch', 0.5043638348579407, 'ml-dl', 1), ('awslabs/autogluon', 0.5024552941322327, 'ml', 3), ('neuralmagic/deepsparse', 0.5005324482917786, 'nlp', 0)]

47

2

null

1.6

28

24

50

0

1

64

1

28

49

90

1.8

44

670

gis

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

[]

null

[]

null

apache/incubator-sedona

sedona

1,654

622

102

Java

https://sedona.apache.org/

A cluster computing framework for processing large-scale geospatial data

apache

2024-01-11

2015-04-24

457

3.614736

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

A cluster computing framework for processing large-scale geospatial data

['cluster-computing', 'geospatial', 'java', 'scala', 'spatial-analysis', 'spatial-query', 'spatial-sql']

2024-01-14

[('apache/spark', 0.5984252095222473, 'data', 2), ('giswqs/geog-414', 0.560769259929657, 'study', 1), ('osgeo/grass', 0.5388128757476807, 'gis', 1)]

110

4

null

7

158

150

106

0

3

9

3

159

120

90

0.8

44

1,245

sim

https://github.com/facebookresearch/habitat-lab

[]

null

[]

null

facebookresearch/habitat-lab

habitat-lab

1,538

432

48

Python

https://aihabitat.org/

A modular high-level library to train embodied AI agents across a variety of tasks and environments.

facebookresearch

2024-01-13

2019-02-04

260

5.912136

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

A modular high-level library to train embodied AI agents across a variety of tasks and environments.

['ai', 'computer-vision', 'deep-learning', 'deep-reinforcement-learning', 'reinforcement-learning', 'research', 'robotics', 'sim2real', 'simulator']

2024-01-12

[('facebookresearch/droidlet', 0.6688793897628784, 'sim', 0), ('unity-technologies/ml-agents', 0.6679417490959167, 'ml-rl', 3), ('tensorlayer/tensorlayer', 0.6519606113433838, 'ml-rl', 2), ('minedojo/voyager', 0.6467283964157104, 'llm', 0), ('pytorch/rl', 0.6235378384590149, 'ml-rl', 3), ('arise-initiative/robosuite', 0.596968412399292, 'ml-rl', 2), ('prefecthq/marvin', 0.5811783671379089, 'nlp', 1), ('pettingzoo-team/pettingzoo', 0.5756711363792419, 'ml-rl', 1), ('google/dopamine', 0.5727390646934509, 'ml-rl', 1), ('luodian/otter', 0.5644159913063049, 'llm', 1), ('farama-foundation/gymnasium', 0.5635895729064941, 'ml-rl', 1), ('nvidia-omniverse/orbit', 0.5620828866958618, 'sim', 1), ('thu-ml/tianshou', 0.5616220831871033, 'ml-rl', 0), ('inspirai/timechamber', 0.5581255555152893, 'sim', 2), ('tensorflow/tensor2tensor', 0.5538010597229004, 'ml', 2), ('explosion/thinc', 0.5424818396568298, 'ml-dl', 2), ('operand/agency', 0.5416178107261658, 'llm', 1), ('salesforce/warp-drive', 0.5386927127838135, 'ml-rl', 2), ('deepmind/acme', 0.52789306640625, 'ml-rl', 2), ('deeppavlov/deeppavlov', 0.5260887145996094, 'nlp', 2), ('humanoidagents/humanoidagents', 0.5243606567382812, 'sim', 0), ('denys88/rl_games', 0.5146901607513428, 'ml-rl', 2), ('nvidia-omniverse/omniisaacgymenvs', 0.5088497400283813, 'sim', 0), ('huggingface/deep-rl-class', 0.5081996917724609, 'study', 3), ('openai/spinningup', 0.5063529014587402, 'study', 0), ('google/trax', 0.5037897825241089, 'ml-dl', 3), ('deepmind/dm_control', 0.5033023357391357, 'ml-rl', 2), ('kornia/kornia', 0.502574622631073, 'ml-dl', 3), ('bulletphysics/bullet3', 0.5023512840270996, 'sim', 3), ('smol-ai/developer', 0.5017600059509277, 'llm', 1)]

71

3

null

3.02

142

78

60

0

3

5

3

142

104

90

0.7

44

1,625

util

https://github.com/instagram/libcst

['ast', 'cst', 'serializer']

null

[]

null

instagram/libcst

LibCST

1,341

166

42

Python

https://libcst.readthedocs.io/

A concrete syntax tree parser and serializer library for Python that preserves many aspects of Python's abstract syntax tree

instagram

2024-01-14

2019-08-06

234

5.730769

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

A concrete syntax tree parser and serializer library for Python that preserves many aspects of Python's abstract syntax tree

[]

['ast', 'cst', 'serializer']

2024-01-08

[('pyparsing/pyparsing', 0.6272467970848083, 'util', 0), ('marshmallow-code/marshmallow', 0.6035540699958801, 'util', 0), ('pytoolz/toolz', 0.6008638739585876, 'util', 0), ('python-rope/rope', 0.5846632719039917, 'util', 1), ('pyston/pyston', 0.5713760852813721, 'util', 0), ('python-odin/odin', 0.5643008351325989, 'util', 0), ('python/cpython', 0.5573931932449341, 'util', 0), ('pygments/pygments', 0.5501353144645691, 'util', 0), ('ibm/transition-amr-parser', 0.5405070781707764, 'nlp', 0), ('uqfoundation/dill', 0.5361902713775635, 'data', 0), ('google/latexify_py', 0.5354775786399841, 'util', 0), ('andialbrecht/sqlparse', 0.5294908285140991, 'data', 0), ('hhatto/autopep8', 0.5244827270507812, 'util', 0), ('psf/black', 0.5167094469070435, 'util', 0), ('pypy/pypy', 0.5154047608375549, 'util', 0), ('microsoft/pycodegpt', 0.5071039795875549, 'llm', 0), ('instagram/monkeytype', 0.5069942474365234, 'typing', 0), ('pydantic/pydantic', 0.5014991164207458, 'util', 0), ('mkdocstrings/griffe', 0.5002207159996033, 'util', 0)]

75

3

null

2.02

63

41

54

0

4

9

4

63

94

90

1.5

44

613

testing

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

[]

null

[]

null

pytest-dev/pytest-asyncio

pytest-asyncio

1,264

131

38

Python

https://pytest-asyncio.readthedocs.io

Asyncio support for pytest

pytest-dev

2024-01-12

2015-04-11

459

2.751244

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

Asyncio support for pytest

['asyncio', 'pytest-plugin', 'testing']

2024-01-10

[('pytest-dev/pytest-xdist', 0.6232805252075195, 'testing', 1), ('pytest-dev/pytest-mock', 0.6129404306411743, 'testing', 0), ('pytest-dev/pytest-cov', 0.6025922894477844, 'testing', 0), ('computationalmodelling/nbval', 0.5843405723571777, 'jupyter', 2), ('timofurrer/awesome-asyncio', 0.5779024958610535, 'study', 1), ('ionelmc/pytest-benchmark', 0.5777239203453064, 'testing', 0), ('aio-libs/aiohttp', 0.5665972828865051, 'web', 1), ('pytest-dev/pytest', 0.5557228922843933, 'testing', 1), ('teemu/pytest-sugar', 0.5544842481613159, 'testing', 2), ('magicstack/uvloop', 0.552464485168457, 'util', 1), ('samuelcolvin/aioaws', 0.5367757081985474, 'data', 1), ('alex-sherman/unsync', 0.5358930230140686, 'util', 0), ('aio-libs/aiobotocore', 0.5174840688705444, 'util', 1), ('erdewit/nest_asyncio', 0.5122057199478149, 'util', 1), ('samuelcolvin/arq', 0.5120292901992798, 'data', 1), ('encode/httpx', 0.5099304914474487, 'web', 1)]

44

4

null

4.63

179

153

107

0

13

6

13

179

267

90

1.5

44

1,382

ml

https://github.com/laekov/fastmoe

['mixture-of-experts']

null

[]

null

laekov/fastmoe

fastmoe

1,240

152

13

Python

https://fastmoe.ai

A fast MoE impl for PyTorch

laekov

2024-01-13

2021-01-25

157

7.890909

null

A fast MoE impl for PyTorch

[]

['mixture-of-experts']

2023-10-08

[('nvidia/apex', 0.6603500247001648, 'ml-dl', 0), ('pytorch/ignite', 0.6223480701446533, 'ml-dl', 0), ('intel/intel-extension-for-pytorch', 0.5892179012298584, 'perf', 0), ('davidmrau/mixture-of-experts', 0.5889419913291931, 'ml', 1), ('huggingface/accelerate', 0.5827643275260925, 'ml', 0), ('pytorch/botorch', 0.5626605749130249, 'ml-dl', 0), ('skorch-dev/skorch', 0.5523069500923157, 'ml-dl', 0), ('mrdbourke/pytorch-deep-learning', 0.5278257131576538, 'study', 0), ('pytorch/data', 0.5255650877952576, 'data', 0)]

23

7

null

0.58

9

3

36

3

2

3

2

9

35

90

3.9

44

1,491

math

https://github.com/dynamicslab/pysindy/

[]

null

[]

null

dynamicslab/pysindy/

pysindy

1,176

282

33

Python

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

A package for the sparse identification of nonlinear dynamical systems from data

dynamicslab

2024-01-12

2019-05-10

246

4.769409

https://avatars.githubusercontent.com/u/59835780?v=4

A package for the sparse identification of nonlinear dynamical systems from data

['dynamical-systems', 'machine-learning', 'model-discovery', 'nonlinear-dynamics', 'sparse-regression', 'system-identification']

2023-12-01

[('wilsonrljr/sysidentpy', 0.6205930113792419, 'time-series', 3)]

26

5

null

2.23

51

21

57

0

3

10

3

51

114

90

2.2

44

1,148

util

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

[]

null

[]

null

aio-libs/yarl

yarl

1,081

151

31

Python

https://yarl.aio-libs.org

Yet another URL library

aio-libs

2024-01-14

2016-08-02

391

2.764706

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

Yet another URL library

['aiohttp', 'url-parsing', 'urls']

2024-01-01

[('magicstack/httptools', 0.5892772674560547, 'web', 0)]

84

6

null

5.52

62

44

91

0

4

15

4

62

128

90

2.1

44

1,801

ml

https://github.com/microsoft/olive

['onnx', 'gpu', 'toolchain', 'performance']

null

[]

null

microsoft/olive

Olive

1,064

102

25

Python

null

Olive is an easy-to-use hardware-aware model optimization tool that composes industry-leading techniques across model compression, optimization, and compilation.

microsoft

2024-01-12

2019-08-12

233

4.563725

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

Olive is an easy-to-use hardware-aware model optimization tool that composes industry-leading techniques across model compression, optimization, and compilation.

[]

['gpu', 'onnx', 'performance', 'toolchain']

2024-01-12

[('pytorch/glow', 0.5527094006538391, 'ml', 0), ('microsoft/nni', 0.5166267156600952, 'ml', 0), ('plasma-umass/scalene', 0.503036618232727, 'profiling', 1), ('eleutherai/oslo', 0.5006281733512878, 'ml', 0)]

30

1

null

10.9

248

223

54

0

8

2

8

248

420

90

1.7

44

1,244

ml

https://github.com/microsoft/semi-supervised-learning

[]

null

[]

null

microsoft/semi-supervised-learning

Semi-supervised-learning

1,056

143

19

Python

https://usb.readthedocs.io

A Unified Semi-Supervised Learning Codebase (NeurIPS'22)

microsoft

2024-01-14

2022-05-05

90

11.640945

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

A Unified Semi-Supervised Learning Codebase (NeurIPS'22)

['audio-classification', 'classification', 'computer-vision', 'deep-learning', 'low-resource', 'machine-learning', 'natural-language-processing', 'pytorch', 'semi-supervised-learning', 'semisupervised-learning', 'transformer']

2023-11-10

[('rasbt/machine-learning-book', 0.6046102046966553, 'study', 3), ('huggingface/transformers', 0.5814858078956604, 'nlp', 5), ('tensorflow/tensorflow', 0.5672532916069031, 'ml-dl', 2), ('ludwig-ai/ludwig', 0.5534067749977112, 'ml-ops', 5), ('nvidia/deeplearningexamples', 0.5403677821159363, 'ml-dl', 3), ('milvus-io/bootcamp', 0.5314620733261108, 'data', 1), ('speechbrain/speechbrain', 0.5235595107078552, 'nlp', 2), ('lightly-ai/lightly', 0.5161562561988831, 'ml', 4), ('onnx/onnx', 0.5151509642601013, 'ml', 3), ('keras-team/autokeras', 0.514286458492279, 'ml-dl', 2), ('ddbourgin/numpy-ml', 0.5134571194648743, 'ml', 1), ('deepmind/deepmind-research', 0.5121714472770691, 'ml', 0), ('alpa-projects/alpa', 0.5067688822746277, 'ml-dl', 2), ('aiqc/aiqc', 0.5059452652931213, 'ml-ops', 0), ('huggingface/datasets', 0.505528450012207, 'nlp', 5), ('nyandwi/modernconvnets', 0.5045065879821777, 'ml-dl', 1), ('salesforce/blip', 0.5032647848129272, 'diffusion', 0), ('keras-team/keras', 0.5026553869247437, 'ml-dl', 3), ('pycaret/pycaret', 0.50245600938797, 'ml', 2), ('explosion/thinc', 0.5021923780441284, 'ml-dl', 4), ('huggingface/autotrain-advanced', 0.5021505355834961, 'ml', 3), ('keras-team/keras-nlp', 0.5014702677726746, 'nlp', 3)]

20

5

null

0.92

30

20

21

2

0

1

30

55

90

1.8

44

1,641

llm

https://github.com/linksoul-ai/autoagents

['autonomous-agents']

null

[]

null

linksoul-ai/autoagents

AutoAgents

889

107

20

Python

https://huggingface.co/spaces/LinkSoul/AutoAgents

Generate different roles for GPTs to form a collaborative entity for complex tasks.

linksoul-ai

2024-01-13

2023-08-21

23

38.41358

https://avatars.githubusercontent.com/u/147458898?v=4

Generate different roles for GPTs to form a collaborative entity for complex tasks.

[]

['autonomous-agents']

2023-11-24

[('assafelovic/gpt-researcher', 0.6728865504264832, 'llm', 0), ('yoheinakajima/babyagi', 0.6577290892601013, 'llm', 1), ('geekan/metagpt', 0.6280576586723328, 'llm', 0), ('torantulino/auto-gpt', 0.5497490167617798, 'llm', 1), ('langchain-ai/opengpts', 0.5377379655838013, 'llm', 0), ('operand/agency', 0.5123705267906189, 'llm', 1)]

11

3

null

1.44

17

6

5

2

0

17

9

90

0.5

44

684

util

https://github.com/pyfpdf/fpdf2

[]

null

[]

null

pyfpdf/fpdf2

fpdf2

860

211

23

Python

https://py-pdf.github.io/fpdf2/

Simple PDF generation for Python

pyfpdf

2024-01-12

2017-03-15

358

2.396497

https://avatars.githubusercontent.com/u/102914013?v=4

Simple PDF generation for Python

['barcode', 'markdown', 'pdf', 'pdf-generation', 'pdf-library', 'svg']

2024-01-02

[('py-pdf/pypdf2', 0.6898808479309082, 'util', 1), ('pypdfium2-team/pypdfium2', 0.6115421652793884, 'util', 1), ('jorisschellekens/borb', 0.6073178052902222, 'util', 3), ('camelot-dev/camelot', 0.5940113663673401, 'util', 0), ('google/latexify_py', 0.5399512052536011, 'util', 0), ('pdfminer/pdfminer.six', 0.5335804224014282, 'util', 1), ('unstructured-io/pipeline-paddleocr', 0.531453549861908, 'data', 1), ('lukasschwab/arxiv.py', 0.5308734774589539, 'util', 1), ('google/yapf', 0.5062951445579529, 'util', 0), ('microsoft/genalog', 0.5020582675933838, 'data', 0), ('connorferster/handcalcs', 0.5012051463127136, 'jupyter', 0)]

116

3

null

5.4

152

122

83

0

7

6

7

152

399

90

2.6

44

898

data

https://github.com/googleapis/python-bigquery

[]

null

[]

null

googleapis/python-bigquery

python-bigquery

686

316

54

Python

null

googleapis

2024-01-11

2019-12-10

216

3.175926

https://avatars.githubusercontent.com/u/16785467?v=4

googleapis/python-bigquery

[]

2024-01-12

[('pytables/pytables', 0.5208421349525452, 'data', 0), ('ibis-project/ibis', 0.5185703635215759, 'data', 0), ('googleapis/google-api-python-client', 0.5121608376502991, 'util', 0), ('ofek/pypinfo', 0.5070151686668396, 'util', 0)]

142

5

null

2.87

152

115

50

0

20

34

20

152

196

90

1.3

44

796

util

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

[]

null

[]

null

open-telemetry/opentelemetry-python-contrib

opentelemetry-python-contrib

554

469

16

Python

https://opentelemetry.io

OpenTelemetry instrumentation for Python modules

open-telemetry

2024-01-13

2019-11-08

220

2.511658

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

OpenTelemetry instrumentation for Python modules

[]

2024-01-11

[('open-telemetry/opentelemetry-python', 0.7430706024169922, 'util', 0), ('pympler/pympler', 0.5808881521224976, 'perf', 0), ('gaogaotiantian/viztracer', 0.5290429592132568, 'profiling', 0), ('openai/openai-python', 0.5244234204292297, 'util', 0)]

226

6

null

2.98

177

78

51

0

7

10

7

177

243

90

1.4

44

1,607

llm

https://github.com/zhudotexe/kani

[]

null

[]

null

zhudotexe/kani

kani

499

24

9

Python

https://kani.readthedocs.io

kani (カニ) is a highly hackable microframework for chat-based language models with tool use/function calling. (NLP-OSS @ EMNLP 2023)

zhudotexe

2024-01-14

2023-07-14

28

17.465

null

kani (カニ) is a highly hackable microframework for chat-based language models with tool use/function calling. (NLP-OSS @ EMNLP 2023)

['chatgpt', 'claude-2', 'framework', 'function-calling', 'gpt-3', 'gpt-4', 'large-language-models', 'llama', 'llama-2', 'llms', 'microframework', 'openai', 'tool-use']

2023-12-04

[('lm-sys/fastchat', 0.579633891582489, 'llm', 0), ('thudm/chatglm2-6b', 0.5553779602050781, 'llm', 1), ('openai/tiktoken', 0.528551459312439, 'nlp', 1), ('next-gpt/next-gpt', 0.5206196904182434, 'llm', 3), ('embedchain/embedchain', 0.5120741724967957, 'llm', 1), ('microsoft/autogen', 0.5002747178077698, 'llm', 2)]

6

3

null

4.69

7

6

1

18

36

18

7

4

90

0.6

44

1,860

sim

https://github.com/nvidia-omniverse/orbit

['robot-learning']

null

[]

null

nvidia-omniverse/orbit

orbit

494

135

23

Python

https://isaac-orbit.github.io/orbit/

Unified framework for robot learning built on NVIDIA Isaac Sim

nvidia-omniverse

2024-01-13

2022-11-16

62

7.859091

https://avatars.githubusercontent.com/u/57824658?v=4

Unified framework for robot learning built on NVIDIA Isaac Sim

['omniverse-kit-extension', 'robot-learning', 'robotics']

2024-01-11

[('nvidia-omniverse/omniisaacgymenvs', 0.6811214685440063, 'sim', 1), ('arise-initiative/robosuite', 0.6593456268310547, 'ml-rl', 2), ('unity-technologies/ml-agents', 0.5719271898269653, 'ml-rl', 0), ('facebookresearch/habitat-lab', 0.5620828866958618, 'sim', 1), ('pytorch/rl', 0.5298061966896057, 'ml-rl', 1), ('salesforce/warp-drive', 0.513428270816803, 'ml-rl', 0)]

18

4

null

4.58

80

44

14

0

1

2

1

80

160

90

2

44

424

study

https://github.com/fchollet/deep-learning-with-python-notebooks

[]

null

[]

null

fchollet/deep-learning-with-python-notebooks

deep-learning-with-python-notebooks

17,496

8,431

651

Jupyter Notebook

null

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

fchollet

2024-01-13

2017-09-05

334

52.383234

null

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

[]

2023-02-13

[('ageron/handson-ml2', 0.8291416168212891, 'ml', 0), ('cohere-ai/notebooks', 0.7323339581489563, 'llm', 0), ('wesm/pydata-book', 0.6737366318702698, 'study', 0), ('mynameisfiber/high_performance_python_2e', 0.6630170941352844, 'study', 0), ('jupyter/nbformat', 0.6576974987983704, 'jupyter', 0), ('rasbt/machine-learning-book', 0.6557565331459045, 'study', 0), ('jakevdp/pythondatasciencehandbook', 0.6521231532096863, 'study', 0), ('adafruit/circuitpython', 0.6453861594200134, 'util', 0), ('probml/pyprobml', 0.6373811364173889, 'ml', 0), ('python/cpython', 0.6243636608123779, 'util', 0), ('pypy/pypy', 0.5973843932151794, 'util', 0), ('mrdbourke/pytorch-deep-learning', 0.5927961468696594, 'study', 0), ('gradio-app/gradio', 0.5826172232627869, 'viz', 0), ('intel/intel-extension-for-pytorch', 0.5782514214515686, 'perf', 0), ('d2l-ai/d2l-en', 0.5766072273254395, 'study', 0), ('mwouts/jupytext', 0.5749877095222473, 'jupyter', 0), ('ipython/ipyparallel', 0.5656928420066833, 'perf', 0), 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('googlecloudplatform/vertex-ai-samples', 0.5130940079689026, 'ml', 0), ('tensorly/tensorly', 0.5126520395278931, 'ml-dl', 0), ('nteract/papermill', 0.5121607780456543, 'jupyter', 0), ('quantopian/qgrid', 0.5115215182304382, 'jupyter', 0), ('masoniteframework/masonite', 0.5106345415115356, 'web', 0), ('ml-for-high-risk-apps-book/machine-learning-for-high-risk-applications-book', 0.5104230642318726, 'study', 0), ('p403n1x87/austin', 0.5097584128379822, 'profiling', 0), ('timofurrer/awesome-asyncio', 0.5076543092727661, 'study', 0), ('atsushisakai/pythonrobotics', 0.5075343251228333, 'sim', 0), ('ggerganov/ggml', 0.5067695379257202, 'ml', 0), ('computationalmodelling/nbval', 0.5067647099494934, 'jupyter', 0), ('realpython/python-guide', 0.5066047310829163, 'study', 0), ('facebookresearch/pytorch3d', 0.5057374238967896, 'ml-dl', 0), ('dmlc/dgl', 0.504264235496521, 'ml-dl', 0), ('astral-sh/ruff', 0.5036055445671082, 'util', 0), ('pyro-ppl/pyro', 0.5035637617111206, 'ml-dl', 0), ('nbqa-dev/nbqa', 0.5034378170967102, 'jupyter', 0), ('grantjenks/blue', 0.5027827024459839, 'util', 0), ('psf/black', 0.5026202201843262, 'util', 0), ('jupyterlab/jupyter-ai', 0.5025471448898315, 'jupyter', 0), ('willmcgugan/textual', 0.5023050904273987, 'term', 0), ('fastai/fastcore', 0.5009275078773499, 'util', 0)]

9

1

null

0.02

3

1

77

11

0

3

1

90

0.3

43

1,331

study

https://github.com/graykode/nlp-tutorial

[]

null

[]

null

graykode/nlp-tutorial

nlp-tutorial

13,361

3,865

291

Jupyter Notebook

https://www.reddit.com/r/MachineLearning/comments/amfinl/project_nlptutoral_repository_who_is_studying/

Natural Language Processing Tutorial for Deep Learning Researchers

graykode

2024-01-14

2019-01-09

263

50.63725

null

Natural Language Processing Tutorial for Deep Learning Researchers

['attention', 'bert', 'natural-language-processing', 'nlp', 'paper', 'pytorch', 'tensorflow', 'transformer', 'tutorial']

2021-07-25

[('allenai/allennlp', 0.6779881715774536, 'nlp', 3), ('keras-team/keras-nlp', 0.6779394149780273, 'nlp', 3), ('huggingface/transformers', 0.6622538566589355, 'nlp', 6), ('alibaba/easynlp', 0.6614455580711365, 'nlp', 3), ('extreme-bert/extreme-bert', 0.6246617436408997, 'llm', 5), ('deepset-ai/farm', 0.6138063669204712, 'nlp', 3), ('bigscience-workshop/megatron-deepspeed', 0.6075314879417419, 'llm', 0), ('microsoft/megatron-deepspeed', 0.6075314879417419, 'llm', 0), ('mrdbourke/pytorch-deep-learning', 0.6003298163414001, 'study', 1), ('paddlepaddle/paddlenlp', 0.5823931097984314, 'llm', 2), ('nltk/nltk', 0.5764945149421692, 'nlp', 2), ('salesforce/blip', 0.5725541710853577, 'diffusion', 0), ('nvidia/deeplearningexamples', 0.569402277469635, 'ml-dl', 3), ('udacity/deep-learning-v2-pytorch', 0.5692509412765503, 'study', 1), ('flairnlp/flair', 0.561720073223114, 'nlp', 3), ('llmware-ai/llmware', 0.559558093547821, 'llm', 3), ('jonasgeiping/cramming', 0.5574339628219604, 'nlp', 0), ('tatsu-lab/stanford_alpaca', 0.5533468723297119, 'llm', 0), ('ageron/handson-ml2', 0.5493988394737244, 'ml', 0), ('jina-ai/finetuner', 0.5485501885414124, 'ml', 1), ('rasahq/rasa', 0.5484858155250549, 'llm', 2), ('ddangelov/top2vec', 0.5482358932495117, 'nlp', 1), ('christoschristofidis/awesome-deep-learning', 0.5480766296386719, 'study', 0), ('explosion/spacy', 0.5477665066719055, 'nlp', 2), ('jina-ai/clip-as-service', 0.5440134406089783, 'nlp', 2), ('rafiqhasan/auto-tensorflow', 0.5383457541465759, 'ml-dl', 1), ('fchollet/deep-learning-with-python-notebooks', 0.5380004644393921, 'study', 0), ('maartengr/bertopic', 0.5367704629898071, 'nlp', 2), ('pytorch/ignite', 0.5355981588363647, 'ml-dl', 1), ('norskregnesentral/skweak', 0.5352105498313904, 'nlp', 1), ('d2l-ai/d2l-en', 0.5312547087669373, 'study', 3), ('deeppavlov/deeppavlov', 0.529963493347168, 'nlp', 2), ('thilinarajapakse/simpletransformers', 0.5299626588821411, 'nlp', 0), ('explosion/spacy-models', 0.5290482044219971, 'nlp', 2), ('google-research/electra', 0.5271270871162415, 'ml-dl', 2), ('whu-zqh/chatgpt-vs.-bert', 0.5263599753379822, 'llm', 1), ('explosion/thinc', 0.5204659104347229, 'ml-dl', 4), ('rasbt/machine-learning-book', 0.518619179725647, 'study', 1), ('keras-team/keras', 0.5174597501754761, 'ml-dl', 2), ('nvidia/nemo', 0.5165086388587952, 'nlp', 1), ('sloria/textblob', 0.5135754942893982, 'nlp', 2), ('huggingface/text-generation-inference', 0.5133894681930542, 'llm', 3), ('microsoft/generative-ai-for-beginners', 0.5113995671272278, 'study', 0), ('openai/finetune-transformer-lm', 0.5100629329681396, 'llm', 1), ('mooler0410/llmspracticalguide', 0.510050356388092, 'study', 2), ('nvlabs/gcvit', 0.5081471800804138, 'diffusion', 0), ('jalammar/ecco', 0.5071130990982056, 'ml-interpretability', 3), ('amanchadha/coursera-deep-learning-specialization', 0.5051466226577759, 'study', 0), ('arogozhnikov/einops', 0.5046815276145935, 'ml-dl', 2), ('amansrivastava17/embedding-as-service', 0.5044365525245667, 'nlp', 4), ('udlbook/udlbook', 0.5029069185256958, 'study', 0), ('deepmind/deepmind-research', 0.5026014447212219, 'ml', 0), ('tensorly/tensorly', 0.5011732578277588, 'ml-dl', 2), ('ashleve/lightning-hydra-template', 0.5006478428840637, 'util', 1)]

14

4

null

0

1

0

61

30

0

1

0

90

0

43

152

nlp

https://github.com/sloria/textblob

[]

null

[]

null

sloria/textblob

TextBlob

8,820

1,134

267

Python

https://textblob.readthedocs.io/

Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.

sloria

2024-01-13

2013-06-30

552

15.969995

null

Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.

['natural-language-processing', 'nlp', 'nltk', 'pattern']

2023-03-11

[('explosion/spacy', 0.7043011784553528, 'nlp', 2), ('nltk/nltk', 0.6578431129455566, 'nlp', 3), ('flairnlp/flair', 0.6279769539833069, 'nlp', 2), ('clips/pattern', 0.6183449029922485, 'nlp', 1), ('keras-team/keras-nlp', 0.5880878567695618, 'nlp', 2), ('vi3k6i5/flashtext', 0.5837533473968506, 'data', 1), ('explosion/spacy-models', 0.5832897424697876, 'nlp', 2), ('pemistahl/lingua-py', 0.5679237246513367, 'nlp', 2), ('paddlepaddle/paddlenlp', 0.559609591960907, 'llm', 1), ('lexpredict/lexpredict-lexnlp', 0.5583809018135071, 'nlp', 1), ('pyparsing/pyparsing', 0.5576520562171936, 'util', 0), ('pandas-dev/pandas', 0.554803729057312, 'pandas', 0), ('eliasdabbas/advertools', 0.5545390248298645, 'data', 0), ('norskregnesentral/skweak', 0.5448392033576965, 'nlp', 1), ('explosion/spacy-streamlit', 0.5445199012756348, 'nlp', 2), ('jbesomi/texthero', 0.5416422486305237, 'nlp', 1), ('ddbourgin/numpy-ml', 0.5411363244056702, 'ml', 0), ('thilinarajapakse/simpletransformers', 0.5410082936286926, 'nlp', 0), ('ranaroussi/quantstats', 0.5343949794769287, 'finance', 0), ('milvus-io/bootcamp', 0.5331091284751892, 'data', 1), ('thealgorithms/python', 0.531756579875946, 'study', 0), ('plotly/dash', 0.5282818078994751, 'viz', 0), ('alibaba/easynlp', 0.5273472666740417, 'nlp', 1), ('explosion/spacy-llm', 0.5245431065559387, 'llm', 2), ('rasahq/rasa', 0.5231644511222839, 'llm', 2), ('allenai/allennlp', 0.5219146013259888, 'nlp', 2), ('rare-technologies/gensim', 0.5176156759262085, 'nlp', 2), ('gradio-app/gradio', 0.5139216780662537, 'viz', 0), ('graykode/nlp-tutorial', 0.5135754942893982, 'study', 2), ('dylanhogg/awesome-python', 0.5117655992507935, 'study', 2), ('fatiando/verde', 0.5090445876121521, 'gis', 0), ('rasbt/mlxtend', 0.5048877596855164, 'ml', 0), ('scikit-learn/scikit-learn', 0.5042425990104675, 'ml', 0), ('evhub/coconut', 0.5033293962478638, 'util', 0)]

36

4

null

0.02

7

1

128

10

0

4

7

4

90

0.6

43

107

ml

https://github.com/nicolashug/surprise

[]

null

[]

null

nicolashug/surprise

Surprise

6,098

1,043

146

Python

http://surpriselib.com

A Python scikit for building and analyzing recommender systems

nicolashug

2024-01-13

2016-10-23

379

16.077589

null

A Python scikit for building and analyzing recommender systems

['factorization', 'machine-learning', 'matrix', 'recommendation', 'recommender', 'svd', 'systems']

2023-01-27

[('rucaibox/recbole', 0.5934752821922302, 'ml', 1), ('jacopotagliabue/reclist', 0.5908733010292053, 'ml', 1), ('microsoft/recommenders', 0.5881096720695496, 'study', 3), ('pytorch/torchrec', 0.5874725580215454, 'ml-dl', 0), ('rasbt/mlxtend', 0.5660281777381897, 'ml', 1), ('scikit-learn-contrib/metric-learn', 0.5304577946662903, 'ml', 1)]

45

3

null

0.02

7

3

88

12

0

2

7

10

90

1.4

43

379

data

https://github.com/alirezamika/autoscraper

[]

null

[]

null

alirezamika/autoscraper

autoscraper

5,757

618

125

Python

null

A Smart, Automatic, Fast and Lightweight Web Scraper for Python

alirezamika

2024-01-14

2020-08-31

178

32.31676

null

A Smart, Automatic, Fast and Lightweight Web Scraper for Python

['ai', 'artificial-intelligence', 'automation', 'crawler', 'machine-learning', 'scrape', 'scraper', 'scraping', 'web-scraping', 'webautomation', 'webscraping']

2022-07-17

[('scrapy/scrapy', 0.8083213567733765, 'data', 3), ('roniemartinez/dude', 0.781152606010437, 'util', 5), ('nv7-github/googlesearch', 0.7142531275749207, 'util', 0), ('clips/pattern', 0.7112637758255005, 'nlp', 1), ('binux/pyspider', 0.6465148329734802, 'data', 1), ('requests/toolbelt', 0.5791863799095154, 'util', 0), ('twintproject/twint', 0.5726699233055115, 'data', 1), ('webpy/webpy', 0.5700419545173645, 'web', 0), ('seleniumbase/seleniumbase', 0.5415842533111572, 'testing', 0), ('psf/requests', 0.5295840501785278, 'web', 0), ('cobrateam/splinter', 0.5292969346046448, 'testing', 1), ('serpapi/google-search-results-python', 0.5220003724098206, 'util', 2), ('jovianml/opendatasets', 0.5161617398262024, 'data', 1), ('falconry/falcon', 0.513289749622345, 'web', 0), ('masoniteframework/masonite', 0.5066377520561218, 'web', 0)]

8

2

null

0

1

0

41

18

0

5

1

90

1

43

1,023

finance

https://github.com/kernc/backtesting.py

[]

null

[]

null

kernc/backtesting.py

backtesting.py

4,436

875

109

Python

https://kernc.github.io/backtesting.py/

:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.

kernc

2024-01-14

2019-01-02

264

16.748652

null

:mag_right: :chart_with_upwards_trend: 🐍 :moneybag: Backtest trading strategies in Python.

['algo-trading', 'algorithmic-trading', 'backtesting', 'backtesting-engine', 'backtesting-frameworks', 'backtesting-trading-strategies', 'finance', 'financial-markets', 'forex', 'forex-trading', 'framework', 'investing', 'investment', 'investment-strategies', 'stocks', 'trading', 'trading-algorithms', 'trading-simulator', 'trading-strategies']

2023-01-15

[('cuemacro/finmarketpy', 0.6904587149620056, 'finance', 2), ('mementum/backtrader', 0.6531647443771362, 'finance', 2), ('polakowo/vectorbt', 0.6390688419342041, 'finance', 5), ('ranaroussi/quantstats', 0.62286376953125, 'finance', 3), ('quantconnect/lean', 0.5955772995948792, 'finance', 5), ('blankly-finance/blankly', 0.5919058918952942, 'finance', 5), ('goldmansachs/gs-quant', 0.5561110377311707, 'finance', 1), ('gbeced/pyalgotrade', 0.5535092949867249, 'finance', 0), ('robcarver17/pysystemtrade', 0.5506398677825928, 'finance', 0), ('gbeced/basana', 0.5409364700317383, 'finance', 2), ('quantopian/zipline', 0.540707528591156, 'finance', 1), ('zvtvz/zvt', 0.5392759442329407, 'finance', 3), ('bashtage/arch', 0.5312038064002991, 'time-series', 1), ('ai4finance-foundation/finrl', 0.5252265334129333, 'finance', 2), ('idanya/algo-trader', 0.522881269454956, 'finance', 3), ('ta-lib/ta-lib-python', 0.512697160243988, 'finance', 1), ('firmai/atspy', 0.5046423673629761, 'time-series', 1)]

19

4

null

0

30

3

61

12

0

4

30

23

90

0.8

43

1,840

finance

https://github.com/twopirllc/pandas-ta

[]

null

[]

null

twopirllc/pandas-ta

pandas-ta

4,335

871

92

Python

https://twopirllc.github.io/pandas-ta/

Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators

twopirllc

2024-01-14

2019-02-19

258

16.802326

null

Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators

['dataframe', 'finance', 'fundamental-analysis', 'jupyter-notebook', 'pandas', 'pandas-dataframe-extension', 'pandas-extension', 'pandas-ta', 'stock-market', 'technical', 'technical-analysis', 'technical-analysis-indicators', 'technical-analysis-library', 'technical-indicators', 'trading', 'trading-algorithms']

2022-09-24

[('mementum/bta-lib', 0.6815423369407654, 'finance', 0), ('ta-lib/ta-lib-python', 0.6217855215072632, 'finance', 2), ('adamerose/pandasgui', 0.5920196771621704, 'pandas', 2), ('pydata/pandas-datareader', 0.5820935368537903, 'pandas', 2), ('lux-org/lux', 0.5814751386642456, 'viz', 1), ('tkrabel/bamboolib', 0.5758503675460815, 'pandas', 2), ('rapidsai/cudf', 0.542910099029541, 'pandas', 2), ('mito-ds/monorepo', 0.5410447716712952, 'jupyter', 1), ('jmcarpenter2/swifter', 0.539636492729187, 'pandas', 1), ('goldmansachs/gs-quant', 0.5390924215316772, 'finance', 0), ('kanaries/pygwalker', 0.5264495611190796, 'pandas', 2), ('ranaroussi/quantstats', 0.5218469500541687, 'finance', 1), ('nalepae/pandarallel', 0.517140805721283, 'pandas', 1), ('man-group/dtale', 0.5126270651817322, 'viz', 2), ('alkaline-ml/pmdarima', 0.5053380131721497, 'time-series', 0), ('stefmolin/stock-analysis', 0.5048727989196777, 'finance', 2), ('pandas-dev/pandas', 0.5036715269088745, 'pandas', 2), ('wesm/pydata-book', 0.5033674240112305, 'study', 0), ('holoviz/panel', 0.5016809105873108, 'viz', 0)]

45

1

null

0

45

32

60

16

0

1

46

136

90

3

43

1,025

finance

https://github.com/ranaroussi/quantstats

[]

null

[]

null

ranaroussi/quantstats

quantstats

3,886

748

93

Python

null

Portfolio analytics for quants, written in Python

ranaroussi

2024-01-14

2019-05-01

247

15.678386

null

Portfolio analytics for quants, written in Python

['algo-trading', 'algorithmic-trading', 'algotrading', 'finance', 'plotting', 'quant', 'quantitative-analysis', 'quantitative-finance', 'quantitative-trading', 'visualization']

2023-07-06

[('goldmansachs/gs-quant', 0.7339354157447815, 'finance', 0), ('plotly/dash', 0.6857461333274841, 'viz', 1), ('quantconnect/lean', 0.6603469848632812, 'finance', 1), ('quantopian/pyfolio', 0.6542462706565857, 'finance', 0), ('zvtvz/zvt', 0.6442165970802307, 'finance', 4), ('polakowo/vectorbt', 0.6319853663444519, 'finance', 4), ('statsmodels/statsmodels', 0.6285594701766968, 'ml', 0), ('kernc/backtesting.py', 0.62286376953125, 'finance', 3), ('gbeced/pyalgotrade', 0.6159399747848511, 'finance', 0), ('scikit-mobility/scikit-mobility', 0.6154873967170715, 'gis', 0), ('polyaxon/datatile', 0.6079445481300354, 'pandas', 0), ('cuemacro/finmarketpy', 0.6077700853347778, 'finance', 0), ('quantopian/zipline', 0.5925479531288147, 'finance', 2), ('holoviz/panel', 0.5793597102165222, 'viz', 0), ('krzjoa/awesome-python-data-science', 0.5782219767570496, 'study', 0), ('thealgorithms/python', 0.5772646069526672, 'study', 0), ('firmai/atspy', 0.5767538547515869, 'time-series', 1), ('ta-lib/ta-lib-python', 0.566260814666748, 'finance', 2), ('pandas-dev/pandas', 0.5643635988235474, 'pandas', 0), ('man-group/dtale', 0.55287766456604, 'viz', 1), ('google/tf-quant-finance', 0.5515581369400024, 'finance', 2), ('scikit-learn/scikit-learn', 0.5498625636100769, 'ml', 0), ('clips/pattern', 0.5454891324043274, 'nlp', 0), ('wesm/pydata-book', 0.5430867671966553, 'study', 0), ('robcarver17/pysystemtrade', 0.5409232378005981, 'finance', 0), ('sloria/textblob', 0.5343949794769287, 'nlp', 0), ('eleutherai/pyfra', 0.5325418710708618, 'ml', 0), ('openbb-finance/openbbterminal', 0.53244549036026, 'finance', 2), ('stefmolin/stock-analysis', 0.5322091579437256, 'finance', 0), ('networkx/networkx', 0.5321804881095886, 'graph', 0), ('1200wd/bitcoinlib', 0.5297749638557434, 'crypto', 0), ('gbeced/basana', 0.5287092328071594, 'finance', 1), ('bokeh/bokeh', 0.5271790027618408, 'viz', 2), ('dagworks-inc/hamilton', 0.5268656015396118, 'ml-ops', 0), ('domokane/financepy', 0.526004433631897, 'finance', 1), ('dylanhogg/awesome-python', 0.5245246887207031, 'study', 0), ('ydataai/ydata-profiling', 0.5242244005203247, 'pandas', 0), ('alkaline-ml/pmdarima', 0.522229790687561, 'time-series', 0), ('twopirllc/pandas-ta', 0.5218469500541687, 'finance', 1), ('plotly/plotly.py', 0.5214852094650269, 'viz', 1), ('malloydata/malloy-py', 0.5185449123382568, 'data', 0), ('numerai/example-scripts', 0.5179154872894287, 'finance', 0), ('hydrosquall/tiingo-python', 0.5174421072006226, 'finance', 1), ('microsoft/qlib', 0.5154274702072144, 'finance', 5), ('quantecon/quantecon.py', 0.513916015625, 'sim', 0), ('gradio-app/gradio', 0.5128483176231384, 'viz', 0), ('keon/algorithms', 0.5114973187446594, 'util', 0), ('mementum/bta-lib', 0.5088109970092773, 'finance', 0), ('ai4finance-foundation/finrl', 0.5057669878005981, 'finance', 2), ('matplotlib/mplfinance', 0.5049977898597717, 'finance', 1), ('bashtage/arch', 0.5018336772918701, 'time-series', 1), ('federicoceratto/dashing', 0.5010005235671997, 'term', 0), ('online-ml/river', 0.5004301071166992, 'ml', 0)]

32

3

null

0.52

25

6

57

6

3

25

20

90

0.8

43

1,112

web

https://github.com/pylons/pyramid

[]

null

[]

null

pylons/pyramid

pyramid

3,875

931

161

Python

https://trypyramid.com/

Pyramid - A Python web framework

pylons

2024-01-13

2010-10-24

692

5.5974

https://avatars.githubusercontent.com/u/452227?v=4

Pyramid - A Python web framework

['pylons', 'pyramid', 'web-framework', 'wsgi']

2023-09-14

[('pallets/flask', 0.7600159049034119, 'web', 2), ('pallets/werkzeug', 0.7471210360527039, 'web', 1), ('bottlepy/bottle', 0.7196846008300781, 'web', 2), ('masoniteframework/masonite', 0.6714824438095093, 'web', 0), ('webpy/webpy', 0.6500197052955627, 'web', 0), ('klen/muffin', 0.6305515766143799, 'web', 0), ('falconry/falcon', 0.6222757697105408, 'web', 1), ('neoteroi/blacksheep', 0.5955870151519775, 'web', 0), ('pallets/quart', 0.5922417640686035, 'web', 0), ('scrapy/scrapy', 0.5863667726516724, 'data', 0), ('eleutherai/pyfra', 0.5796028971672058, 'ml', 0), ('reflex-dev/reflex', 0.5728359818458557, 'web', 0), ('pypy/pypy', 0.5644940137863159, 'util', 0), ('encode/uvicorn', 0.5620464086532593, 'web', 0), ('benoitc/gunicorn', 0.5611777305603027, 'web', 1), ('timofurrer/awesome-asyncio', 0.5598770380020142, 'study', 0), ('cherrypy/cherrypy', 0.5556930303573608, 'web', 0), ('feincms/feincms', 0.5519199371337891, 'web', 0), ('willmcgugan/textual', 0.5482103228569031, 'term', 0), ('emmett-framework/emmett', 0.5466519594192505, 'web', 1), ('pyglet/pyglet', 0.5355060696601868, 'gamedev', 0), ('pyodide/pyodide', 0.5352792739868164, 'util', 0), ('pylons/waitress', 0.5299732089042664, 'web', 0), ('python/cpython', 0.5238844752311707, 'util', 0), ('django/django', 0.5236054062843323, 'web', 0), ('pycqa/pylint-django', 0.5214040279388428, 'util', 0), ('r0x0r/pywebview', 0.5202688574790955, 'gui', 0), ('sqlalchemy/mako', 0.5201253890991211, 'template', 0), ('encode/httpx', 0.5153858661651611, 'web', 0), ('clips/pattern', 0.5145288705825806, 'nlp', 0), ('starlite-api/starlite', 0.5109481811523438, 'web', 0), ('holoviz/panel', 0.507599949836731, 'viz', 0), ('python-restx/flask-restx', 0.5075467824935913, 'web', 0), ('alirn76/panther', 0.5073546767234802, 'web', 0), ('pyston/pyston', 0.5057663321495056, 'util', 0), ('dylanhogg/awesome-python', 0.5040434002876282, 'study', 0), ('pytoolz/toolz', 0.5017217993736267, 'util', 0), ('requests/toolbelt', 0.5011575222015381, 'util', 0)]

349

4

null

0.48

8

0

161

4

0

11

8

12

90

1.5

43

928

ml-dl

https://github.com/williamyang1991/vtoonify

[]

null

[]

null

williamyang1991/vtoonify

VToonify

3,408

434

64

Jupyter Notebook

null

[SIGGRAPH Asia 2022] VToonify: Controllable High-Resolution Portrait Video Style Transfer

williamyang1991

2024-01-12

2022-09-09

72

46.96063

null

[SIGGRAPH Asia 2022] VToonify: Controllable High-Resolution Portrait Video Style Transfer

['face', 'siggraph-asia', 'style-transfer', 'stylegan2', 'toonify', 'video-style-transfer']

2023-02-24

[('chenyangqiqi/fatezero', 0.5721680521965027, 'diffusion', 1), ('thudm/cogvideo', 0.5548344850540161, 'ml', 0), ('mchong6/jojogan', 0.515015184879303, 'data', 0)]

4

3

null

0.04

5

1

16

11

0

5

4

90

0.8

43

1,708

util

https://github.com/tartley/colorama

['terminal', 'ansi']

null

[]

null

tartley/colorama

colorama

3,328

239

45

Python

null

Simple cross-platform colored terminal text in Python

tartley

2024-01-12

2014-04-17

510

6.516364

null

Simple cross-platform colored terminal text in Python

[]

['ansi', 'terminal']

2023-12-01

[('willmcgugan/rich', 0.7069451808929443, 'term', 1), ('jquast/blessed', 0.5634984970092773, 'term', 1), ('carpedm20/emoji', 0.5459503531455994, 'util', 0), ('urwid/urwid', 0.5115954279899597, 'term', 0)]

51

5

null

0.06

3

2

119

1

0

2

3

7

90

2.3

43

1,180

nlp

https://github.com/errbotio/errbot

[]

null

[]

null

errbotio/errbot

errbot

3,012

612

74

Python

http://errbot.io

Errbot is a chatbot, a daemon that connects to your favorite chat service and bring your tools and some fun into the conversation.

errbotio

2024-01-12

2012-05-20

610

4.935393

https://avatars.githubusercontent.com/u/15802630?v=4

Errbot is a chatbot, a daemon that connects to your favorite chat service and bring your tools and some fun into the conversation.

['automation', 'chat', 'chatbot', 'chatbots', 'chatops', 'devops', 'hacktoberfest2020']

2024-01-01

[('gunthercox/chatterbot', 0.5522263646125793, 'nlp', 1), ('togethercomputer/openchatkit', 0.5380634665489197, 'nlp', 1), ('deep-diver/llm-as-chatbot', 0.5012304186820984, 'llm', 1)]

214

5

null

0.56

44

38

142

0

1

7

1

44

40

90

0.9

43

968

ml

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

[]

null

[]

1

null

lucidrains/musiclm-pytorch

musiclm-pytorch

2,873

240

96

Python

null

Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch

lucidrains

2024-01-13

2023-01-27

52

54.649457

null

Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch

['artificial-intelligence', 'attention-mechanisms', 'deep-learning', 'music-synthesis', 'transformers']

2023-09-06

[('huggingface/diffusers', 0.54345703125, 'diffusion', 1)]

2

0

null

1.37

3

1

12

4

38

39

38

3

1

90

0.3

43

95

term

https://github.com/urwid/urwid

[]

null

[]

null

urwid/urwid

urwid

2,681

313

61

Python

urwid.org

Console user interface library for Python (official repo)

urwid

2024-01-13

2010-02-25

726

3.689208

https://avatars.githubusercontent.com/u/6749304?v=4

Console user interface library for Python (official repo)

[]

2024-01-12

[('jquast/blessed', 0.7145931720733643, 'term', 0), ('pygamelib/pygamelib', 0.700258731842041, 'gamedev', 0), ('hoffstadt/dearpygui', 0.6700049042701721, 'gui', 0), ('beeware/toga', 0.6368706822395325, 'gui', 0), ('pytoolz/toolz', 0.6324057579040527, 'util', 0), ('r0x0r/pywebview', 0.6302554607391357, 'gui', 0), ('google/python-fire', 0.6262136101722717, 'term', 0), ('pypy/pypy', 0.6176603436470032, 'util', 0), ('python/cpython', 0.613335907459259, 'util', 0), ('willmcgugan/textual', 0.6095877885818481, 'term', 0), ('samuelcolvin/python-devtools', 0.5885550379753113, 'debug', 0), ('landscapeio/prospector', 0.586963951587677, 'util', 0), ('pyglet/pyglet', 0.5836073160171509, 'gamedev', 0), ('openai/openai-python', 0.5712311267852783, 'util', 0), ('tmbo/questionary', 0.5709437727928162, 'term', 0), ('pyscript/pyscript-cli', 0.5667005181312561, 'web', 0), ('rockhopper-technologies/enlighten', 0.5648614764213562, 'term', 0), ('federicoceratto/dashing', 0.5645572543144226, 'term', 0), ('kivy/kivy', 0.5640290975570679, 'util', 0), ('pdm-project/pdm', 0.5620359778404236, 'util', 0), ('dddomodossola/remi', 0.5620279312133789, 'gui', 0), ('alexmojaki/snoop', 0.5546684265136719, 'debug', 0), ('pexpect/pexpect', 0.553383469581604, 'util', 0), ('inducer/pudb', 0.5516170859336853, 'debug', 0), ('hugovk/pypistats', 0.5486549735069275, 'util', 0), ('parthjadhav/tkinter-designer', 0.5480352640151978, 'gui', 0), ('ethereum/web3.py', 0.5449756979942322, 'crypto', 0), ('googleapis/google-api-python-client', 0.54488605260849, 'util', 0), ('ipython/ipython', 0.5444232821464539, 'util', 0), ('prompt-toolkit/ptpython', 0.5443150997161865, 'util', 0), ('tiangolo/typer', 0.5432376861572266, 'term', 0), ('pypa/hatch', 0.5425727963447571, 'util', 0), ('xonsh/xonsh', 0.5422582030296326, 'util', 0), ('eleutherai/pyfra', 0.5409858822822571, 'ml', 0), ('masoniteframework/masonite', 0.5398597121238708, 'web', 0), ('jiffyclub/snakeviz', 0.5396429300308228, 'profiling', 0), ('willmcgugan/rich', 0.538774847984314, 'term', 0), ('pyston/pyston', 0.5381410121917725, 'util', 0), ('paramiko/paramiko', 0.5337045192718506, 'util', 0), ('webpy/webpy', 0.533157467842102, 'web', 0), ('simple-salesforce/simple-salesforce', 0.5318827629089355, 'data', 0), ('pypi/warehouse', 0.5293185710906982, 'util', 0), ('pysimplegui/pysimplegui', 0.5266430974006653, 'gui', 0), ('plotly/plotly.py', 0.5260567665100098, 'viz', 0), ('pallets/click', 0.5238144993782043, 'term', 0), ('reactive-python/reactpy', 0.5233248472213745, 'web', 0), ('irmen/pyminiaudio', 0.51679927110672, 'util', 0), ('pygame/pygame', 0.5163580775260925, 'gamedev', 0), ('pythonarcade/arcade', 0.5146381258964539, 'gamedev', 0), ('tartley/colorama', 0.5115954279899597, 'util', 0), ('kellyjonbrazil/jc', 0.5103952884674072, 'util', 0), ('indygreg/pyoxidizer', 0.5094347596168518, 'util', 0), ('microsoft/playwright-python', 0.5090146660804749, 'testing', 0), ('bottlepy/bottle', 0.5075056552886963, 'web', 0), ('bokeh/bokeh', 0.5072845816612244, 'viz', 0), ('amaargiru/pyroad', 0.5068714618682861, 'study', 0), ('brandtbucher/specialist', 0.5062293410301208, 'perf', 0), ('connorferster/handcalcs', 0.5055436491966248, 'jupyter', 0), ('asacristani/fastapi-rocket-boilerplate', 0.5037996172904968, 'template', 0), ('pypa/pipenv', 0.5031107664108276, 'util', 0), ('plotly/dash', 0.5028428435325623, 'viz', 0), ('pypa/installer', 0.5019884705543518, 'util', 0), ('agronholm/apscheduler', 0.501419186592102, 'util', 0), ('cython/cython', 0.5010424852371216, 'util', 0), ('hugapi/hug', 0.5001529455184937, 'util', 0)]

138

1

null

3.56

117

104

169

0

7

4

7

117

159

90

1.4

43

198

ml

https://github.com/maif/shapash

[]

null

[]

null

maif/shapash

shapash

2,555

311

39

Jupyter Notebook

https://maif.github.io/shapash/

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

maif

2024-01-14

2020-04-29

195

13.045222

https://avatars.githubusercontent.com/u/33632930?v=4

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

['ethical-artificial-intelligence', 'explainability', 'explainable-ml', 'interpretability', 'lime', 'machine-learning', 'shap', 'transparency']

2023-12-08

[('seldonio/alibi', 0.6979689002037048, 'ml-interpretability', 2), ('slundberg/shap', 0.67304927110672, 'ml-interpretability', 4), ('csinva/imodels', 0.6528401374816895, 'ml', 3), ('interpretml/interpret', 0.6510236859321594, 'ml-interpretability', 5), ('marcotcr/lime', 0.6499969363212585, 'ml-interpretability', 0), ('linkedin/fasttreeshap', 0.6388174295425415, 'ml', 3), ('pair-code/lit', 0.62184739112854, 'ml-interpretability', 1), ('oegedijk/explainerdashboard', 0.5845269560813904, 'ml-interpretability', 1), ('tensorflow/lucid', 0.5549944639205933, 'ml-interpretability', 2), ('xplainable/xplainable', 0.551527738571167, 'ml-interpretability', 3), ('ml-for-high-risk-apps-book/machine-learning-for-high-risk-applications-book', 0.5307745337486267, 'study', 1), ('huggingface/evaluate', 0.5302979946136475, 'ml', 1), ('selfexplainml/piml-toolbox', 0.527449905872345, 'ml-interpretability', 0), ('carla-recourse/carla', 0.5270743370056152, 'ml', 3), ('teamhg-memex/eli5', 0.5209477543830872, 'ml', 1), ('tensorflow/data-validation', 0.5037372708320618, 'ml-ops', 0), ('eleutherai/pythia', 0.5036888122558594, 'ml-interpretability', 1), ('microsoft/robustlearn', 0.5023934841156006, 'time-series', 0)]

35

1

null

2.33

29

17

45

1

10

9

10

29

6

90

0.2

43

792

web

https://github.com/pallets/quart

[]

null

[]

null

pallets/quart

quart

2,431

137

30

Python

https://quart.palletsprojects.com

An async Python micro framework for building web applications.

pallets

2024-01-12

2017-11-10

324

7.489877

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

An async Python micro framework for building web applications.

['asgi', 'asyncio', 'http-server', 'quart']

2024-01-03

[('neoteroi/blacksheep', 0.8334370851516724, 'web', 3), ('encode/uvicorn', 0.8250173926353455, 'web', 3), ('aio-libs/aiohttp', 0.7800691723823547, 'web', 2), ('alirn76/panther', 0.7484593391418457, 'web', 0), ('encode/httpx', 0.748035192489624, 'web', 1), ('pallets/flask', 0.7176867127418518, 'web', 0), ('klen/muffin', 0.7141019701957703, 'web', 2), ('encode/starlette', 0.7032433152198792, 'web', 0), ('huge-success/sanic', 0.7020831108093262, 'web', 2), ('falconry/falcon', 0.6842796206474304, 'web', 1), ('timofurrer/awesome-asyncio', 0.6550799608230591, 'study', 1), ('python-trio/trio', 0.6473005414009094, 'perf', 0), ('starlite-api/starlite', 0.6257473230361938, 'web', 2), ('jordaneremieff/mangum', 0.6127312183380127, 'web', 3), ('masoniteframework/masonite', 0.607140302658081, 'web', 0), ('agronholm/anyio', 0.6049391627311707, 'perf', 1), ('bottlepy/bottle', 0.5997056365013123, 'web', 0), ('magicstack/uvloop', 0.5947157740592957, 'util', 1), ('pylons/pyramid', 0.5922417640686035, 'web', 0), ('sumerc/yappi', 0.5867199897766113, 'profiling', 2), ('samuelcolvin/aioaws', 0.5853649377822876, 'data', 1), ('aws/chalice', 0.5842033624649048, 'web', 0), ('cherrypy/cherrypy', 0.5793529748916626, 'web', 1), ('pylons/waitress', 0.5782569050788879, 'web', 1), ('geeogi/async-python-lambda-template', 0.5774820446968079, 'template', 0), ('tiangolo/asyncer', 0.5767269134521484, 'perf', 1), ('emmett-framework/emmett', 0.5764337778091431, 'web', 2), ('tornadoweb/tornado', 0.5757850408554077, 'web', 0), ('samuelcolvin/arq', 0.5751336216926575, 'data', 1), ('miguelgrinberg/python-socketio', 0.5742831826210022, 'util', 1), ('nficano/python-lambda', 0.5740982890129089, 'util', 0), ('reflex-dev/reflex', 0.5711527466773987, 'web', 0), ('flet-dev/flet', 0.5679628252983093, 'web', 0), ('airtai/faststream', 0.5664022564888, 'perf', 1), ('micropython/micropython', 0.5557764768600464, 'util', 0), ('webpy/webpy', 0.5523453950881958, 'web', 0), ('willmcgugan/textual', 0.5513238906860352, 'term', 0), ('pallets/werkzeug', 0.5403130054473877, 'web', 0), ('python-restx/flask-restx', 0.5398460626602173, 'web', 0), ('pyinfra-dev/pyinfra', 0.5390889048576355, 'util', 0), ('psf/requests', 0.5377407670021057, 'web', 0), ('aio-libs/aiobotocore', 0.5356045961380005, 'util', 1), ('hugapi/hug', 0.533208429813385, 'util', 1), ('ets-labs/python-dependency-injector', 0.5255832672119141, 'util', 1), ('backtick-se/cowait', 0.5232675671577454, 'util', 0), ('ajndkr/lanarky', 0.5203720331192017, 'llm', 0), ('fastai/fastcore', 0.5118736624717712, 'util', 0), ('locustio/locust', 0.5093166828155518, 'testing', 0), ('r0x0r/pywebview', 0.5082329511642456, 'gui', 0), ('requests/toolbelt', 0.5077387094497681, 'util', 0), ('gbeced/basana', 0.5044360160827637, 'finance', 1), ('eleutherai/pyfra', 0.5026024580001831, 'ml', 0)]

99

2

null

1.56

35

19

75

1

0

10

35

21

90

0.6

43

1,535

util

https://github.com/chaostoolkit/chaostoolkit

['devops']

null

[]

null

chaostoolkit/chaostoolkit

chaostoolkit

1,805

184

42

Python

https://chaostoolkit.org

Chaos Engineering Toolkit & Orchestration for Developers

chaostoolkit

2024-01-13

2017-09-24

331

5.448469

https://avatars.githubusercontent.com/u/32068152?v=4

Chaos Engineering Toolkit & Orchestration for Developers

['automation', 'chaos-engineering', 'chaostoolkit', 'devops-tools', 'reliability', 'reliability-engineering', 'resiliency', 'sre']

['automation', 'chaos-engineering', 'chaostoolkit', 'devops', 'devops-tools', 'reliability', 'reliability-engineering', 'resiliency', 'sre']

2024-01-11

[('flyteorg/flyte', 0.5509274005889893, 'ml-ops', 0), ('dagster-io/dagster', 0.5302633047103882, 'ml-ops', 0), ('pydoit/doit', 0.5246021747589111, 'util', 0), ('zenml-io/zenml', 0.5238291621208191, 'ml-ops', 1), ('tiiuae/sbomnix', 0.5200450420379639, 'util', 0), ('avaiga/taipy', 0.5186023712158203, 'data', 1), ('polyaxon/polyaxon', 0.5090064406394958, 'ml-ops', 0), ('aquasecurity/trivy', 0.5057849287986755, 'security', 0), ('pytest-dev/pytest-testinfra', 0.5015678405761719, 'testing', 2)]

20

4

null

0.87

4

2

77

0

7

11

7

4

11

90

2.8

43

1,850

util

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

[]

null

[]

null

python-rope/rope

rope

1,782

210

28

Python

null

a python refactoring library

python-rope

2024-01-12

2013-11-30

530

3.359548

https://avatars.githubusercontent.com/u/6073454?v=4

a python refactoring library

['ast', 'refactoring', 'refactoring-tools']

2024-01-11

[('facebookincubator/bowler', 0.7546546459197998, 'util', 1), ('pytoolz/toolz', 0.649603009223938, 'util', 0), ('asottile/reorder-python-imports', 0.5853264331817627, 'util', 1), ('instagram/libcst', 0.5846632719039917, 'util', 1), ('instagram/fixit', 0.5731984972953796, 'util', 0), ('dosisod/refurb', 0.5674479007720947, 'util', 0), ('landscapeio/prospector', 0.5660980939865112, 'util', 0), ('grahamdumpleton/wrapt', 0.5636062026023865, 'util', 0), ('google/pyglove', 0.5538163781166077, 'util', 0), ('eugeneyan/python-collab-template', 0.5535590648651123, 'template', 0), ('pypy/pypy', 0.5428261160850525, 'util', 0), ('eleutherai/pyfra', 0.5410192608833313, 'ml', 0), ('pyston/pyston', 0.5357602834701538, 'util', 0), ('amaargiru/pyroad', 0.528800904750824, 'study', 0), ('google/latexify_py', 0.5269980430603027, 'util', 0), ('python/cpython', 0.5254427194595337, 'util', 0), ('hhatto/autopep8', 0.5218623876571655, 'util', 0), ('reloadware/reloadium', 0.5215712785720825, 'profiling', 0), ('xrudelis/pytrait', 0.5170307159423828, 'util', 0), ('facebook/pyre-check', 0.5157984495162964, 'typing', 0), ('fastai/fastcore', 0.5134739875793457, 'util', 0), ('google/pytype', 0.5130378603935242, 'typing', 0), ('pandas-dev/pandas', 0.5107076168060303, 'pandas', 0), ('pympler/pympler', 0.5101566910743713, 'perf', 0), ('beeware/toga', 0.5071592330932617, 'gui', 0), ('mkdocstrings/griffe', 0.5066107511520386, 'util', 0), ('psf/black', 0.504595935344696, 'util', 0), ('pdm-project/pdm', 0.5023258328437805, 'util', 0), ('mementum/backtrader', 0.50078284740448, 'finance', 0), ('timofurrer/awesome-asyncio', 0.5005401968955994, 'study', 0)]

81

3

null

2.19

35

23

123

0

5

35

77

90

2.2

43

395

web

https://github.com/neoteroi/blacksheep

[]

null

[]

null

neoteroi/blacksheep

BlackSheep

1,584

68

28

Python

https://www.neoteroi.dev/blacksheep/

Fast ASGI web framework for Python

neoteroi

2024-01-13

2018-11-22

270

5.851187

https://avatars.githubusercontent.com/u/72765587?v=4

Fast ASGI web framework for Python

['asgi', 'asyncio', 'blacksheep', 'framework', 'http', 'http-server', 'server', 'web']

2024-01-12

[('encode/uvicorn', 0.8586666584014893, 'web', 4), ('pallets/quart', 0.8334370851516724, 'web', 3), ('klen/muffin', 0.7668511271476746, 'web', 2), ('huge-success/sanic', 0.7380421161651611, 'web', 4), ('aio-libs/aiohttp', 0.7317296862602234, 'web', 3), ('encode/httpx', 0.7281930446624756, 'web', 2), ('alirn76/panther', 0.7121951580047607, 'web', 1), ('falconry/falcon', 0.6875892877578735, 'web', 4), ('encode/starlette', 0.6760811805725098, 'web', 1), ('starlite-api/starlite', 0.6740537881851196, 'web', 2), ('pallets/flask', 0.6553666591644287, 'web', 0), ('jordaneremieff/mangum', 0.6414300203323364, 'web', 2), ('cherrypy/cherrypy', 0.6155569553375244, 'web', 2), ('timofurrer/awesome-asyncio', 0.6109622716903687, 'study', 1), ('pallets/werkzeug', 0.5996673703193665, 'web', 1), ('masoniteframework/masonite', 0.5978954434394836, 'web', 2), ('klen/py-frameworks-bench', 0.5975432395935059, 'perf', 0), ('pylons/pyramid', 0.5955870151519775, 'web', 0), ('bottlepy/bottle', 0.5855295062065125, 'web', 0), ('magicstack/uvloop', 0.5796182155609131, 'util', 1), ('sumerc/yappi', 0.577142596244812, 'profiling', 2), ('geeogi/async-python-lambda-template', 0.5758123397827148, 'template', 0), ('locustio/locust', 0.5740907192230225, 'testing', 1), ('pylons/waitress', 0.5685455799102783, 'web', 1), ('emmett-framework/emmett', 0.5676200985908508, 'web', 2), ('webpy/webpy', 0.5648735761642456, 'web', 0), ('fastai/fastcore', 0.5601794719696045, 'util', 0), ('psf/requests', 0.551236629486084, 'web', 1), ('miguelgrinberg/python-socketio', 0.5502622127532959, 'util', 1), ('python-trio/trio', 0.5497913956642151, 'perf', 0), ('benoitc/gunicorn', 0.542283296585083, 'web', 2), ('reflex-dev/reflex', 0.5400927066802979, 'web', 1), ('samuelcolvin/arq', 0.5355557799339294, 'data', 1), ('ets-labs/python-dependency-injector', 0.5310226678848267, 'util', 1), ('scrapy/scrapy', 0.53035569190979, 'data', 1), ('requests/toolbelt', 0.5285502672195435, 'util', 1), ('agronholm/anyio', 0.5259332656860352, 'perf', 1), ('airtai/faststream', 0.5211659073829651, 'perf', 1), ('tornadoweb/tornado', 0.5203468203544617, 'web', 0), ('python-restx/flask-restx', 0.519770085811615, 'web', 0), ('tiangolo/fastapi', 0.5194063782691956, 'web', 3), ('pypy/pypy', 0.5189310908317566, 'util', 0), ('aminalaee/sqladmin', 0.5168036818504333, 'data', 3), ('aws/chalice', 0.5133174657821655, 'web', 0), ('flet-dev/flet', 0.5072730183601379, 'web', 1), ('pyinfra-dev/pyinfra', 0.5058210492134094, 'util', 0), ('grantjenks/python-diskcache', 0.5029258728027344, 'util', 0)]

16

2

null

0.96

49

46

63

0

29

12

29

49

80

90

1.6

43

1,366

ml

https://github.com/microsoft/i-code

[]

The ambition of the i-Code project is to build integrative and composable multimodal AI. The "i" stands for integrative multimodal learning.

[]

null

microsoft/i-code

i-Code

1,551

159

39

Jupyter Notebook

null

microsoft

2024-01-12

2022-12-07

59

25.911695

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

The ambition of the i-Code project is to build integrative and composable multimodal AI. The "i" stands for integrative multimodal learning.

[]

2023-11-30

[('facebookresearch/mmf', 0.5485939383506775, 'ml-dl', 0), ('invoke-ai/invokeai', 0.5126618146896362, 'diffusion', 0)]

13

2

null

3.71

11

4

13

1

0

11

6

90

0.5

43

1,593

data

https://github.com/milvus-io/bootcamp

['vector-database', 'question-answering', 'embeddings']

null

[]

1

null

milvus-io/bootcamp

bootcamp

1,510

519

30

HTML

https://milvus.io

Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.

milvus-io

2024-01-13

2019-08-09

233

6.464832

https://avatars.githubusercontent.com/u/51735404?v=4

Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.

['audio-search', 'benchmark-testing', 'deep-learning', 'image-classification', 'image-recognition', 'image-search', 'milvus', 'nlp', 'question-answering', 'unstructured-data']

['audio-search', 'benchmark-testing', 'deep-learning', 'embeddings', 'image-classification', 'image-recognition', 'image-search', 'milvus', 'nlp', 'question-answering', 'unstructured-data', 'vector-database']

2024-01-09

[('docarray/docarray', 0.677416205406189, 'data', 1), ('jina-ai/vectordb', 0.6278480887413025, 'data', 1), ('activeloopai/deeplake', 0.6203997731208801, 'ml-ops', 2), ('neuml/txtai', 0.6126426458358765, 'nlp', 3), ('nomic-ai/nomic', 0.6042595505714417, 'nlp', 0), ('koaning/embetter', 0.6010968089103699, 'data', 0), ('qdrant/qdrant', 0.5713267922401428, 'data', 2), ('marqo-ai/marqo', 0.5712332725524902, 'ml', 1), ('lancedb/lancedb', 0.566419780254364, 'data', 2), ('chroma-core/chroma', 0.5605462789535522, 'data', 1), ('awslabs/autogluon', 0.5507424473762512, 'ml', 2), ('huggingface/datasets', 0.545052170753479, 'nlp', 2), ('sloria/textblob', 0.5331091284751892, 'nlp', 1), ('microsoft/semi-supervised-learning', 0.5314620733261108, 'ml', 1), ('ddbourgin/numpy-ml', 0.5297070741653442, 'ml', 0), ('paddlepaddle/paddlenlp', 0.528664767742157, 'llm', 2), ('featureform/embeddinghub', 0.5258285403251648, 'nlp', 2), ('explosion/thinc', 0.5245603919029236, 'ml-dl', 2), ('feast-dev/feast', 0.5231591463088989, 'ml-ops', 0), ('thilinarajapakse/simpletransformers', 0.5199248790740967, 'nlp', 1), ('qdrant/fastembed', 0.5193023681640625, 'ml', 1), ('llmware-ai/llmware', 0.518172025680542, 'llm', 4), ('koaning/human-learn', 0.5165793895721436, 'data', 0), ('fatiando/verde', 0.5155651569366455, 'gis', 0), ('koaning/whatlies', 0.5146546363830566, 'nlp', 2), ('amanchadha/coursera-deep-learning-specialization', 0.5138573050498962, 'study', 1), ('jina-ai/clip-as-service', 0.5121859312057495, 'nlp', 1), ('rare-technologies/gensim', 0.5120472311973572, 'nlp', 1), ('onnx/onnx', 0.5098041892051697, 'ml', 1), ('qdrant/vector-db-benchmark', 0.5074758529663086, 'perf', 1), ('alibaba/easynlp', 0.5068036317825317, 'nlp', 2), ('superduperdb/superduperdb', 0.5059596300125122, 'data', 0), ('firmai/industry-machine-learning', 0.5041669011116028, 'study', 0), ('mosaicml/composer', 0.5024623870849609, 'ml-dl', 1), ('tensorflow/tensorflow', 0.5004434585571289, 'ml-dl', 1)]

80

3

null

2.42

79

73

54

0

1

3

1

79

85

90

1.1

43

653

ml-dl

https://github.com/tensorly/tensorly

[]

null

[]

null

tensorly/tensorly

tensorly

1,466

324

45

Python

http://tensorly.org

TensorLy: Tensor Learning in Python.

tensorly

2024-01-12

2016-10-21

379

3.862251

https://avatars.githubusercontent.com/u/22989719?v=4

TensorLy: Tensor Learning in Python.

['cupy', 'decomposition', 'jax', 'machine-learning', 'mxnet', 'numpy', 'pytorch', 'regression', 'tensor', 'tensor-algebra', 'tensor-decomposition', 'tensor-factorization', 'tensor-learning', 'tensor-methods', 'tensor-regression', 'tensorflow', 'tensorly']

2024-01-08

[('arogozhnikov/einops', 0.7486700415611267, 'ml-dl', 6), ('ggerganov/ggml', 0.7053402066230774, 'ml', 2), ('google/tf-quant-finance', 0.636419951915741, 'finance', 1), ('pytorch/pytorch', 0.6296373605728149, 'ml-dl', 3), ('huggingface/transformers', 0.6177733540534973, 'nlp', 4), ('xl0/lovely-tensors', 0.61644446849823, 'ml-dl', 1), ('rafiqhasan/auto-tensorflow', 0.6096346974372864, 'ml-dl', 2), ('tensorflow/similarity', 0.6049955487251282, 'ml-dl', 2), ('ddbourgin/numpy-ml', 0.6033033728599548, 'ml', 1), ('horovod/horovod', 0.5948300361633301, 'ml-ops', 4), ('patrick-kidger/torchtyping', 0.5934515595436096, 'typing', 1), ('explosion/thinc', 0.5860464572906494, 'ml-dl', 5), ('keras-team/keras', 0.5832876563072205, 'ml-dl', 4), ('huggingface/exporters', 0.5597980618476868, 'ml', 3), ('tensorflow/addons', 0.5590072274208069, 'ml', 2), ('nvidia/tensorrt-llm', 0.5586928129196167, 'viz', 0), ('ageron/handson-ml2', 0.5573654770851135, 'ml', 0), ('dylanhogg/awesome-python', 0.5549004673957825, 'study', 1), ('online-ml/river', 0.5535548329353333, 'ml', 1), ('intel/intel-extension-for-pytorch', 0.5494438409805298, 'perf', 2), ('tensorflow/tensorflow', 0.5459080934524536, 'ml-dl', 2), ('huggingface/huggingface_hub', 0.5400019884109497, 'ml', 2), ('pytorch/ignite', 0.5390286445617676, 'ml-dl', 2), ('gradio-app/gradio', 0.5336702466011047, 'viz', 1), ('mrdbourke/tensorflow-deep-learning', 0.5285704731941223, 'study', 1), ('onnx/onnx', 0.5244054198265076, 'ml', 4), ('skorch-dev/skorch', 0.5220605134963989, 'ml-dl', 2), ('d2l-ai/d2l-en', 0.5216432213783264, 'study', 5), ('google/gin-config', 0.5206177830696106, 'util', 1), ('probml/pyprobml', 0.5191105604171753, 'ml', 4), ('explosion/spacy', 0.5184281468391418, 'nlp', 1), ('nyandwi/modernconvnets', 0.5165544748306274, 'ml-dl', 1), ('mosaicml/composer', 0.5158124566078186, 'ml-dl', 2), ('neuralmagic/sparseml', 0.5156332850456238, 'ml-dl', 2), ('adap/flower', 0.5153002142906189, 'ml-ops', 3), ('ta-lib/ta-lib-python', 0.5138649344444275, 'finance', 0), ('fchollet/deep-learning-with-python-notebooks', 0.5126520395278931, 'study', 0), ('tensorflow/lucid', 0.5121048092842102, 'ml-interpretability', 2), ('nvidia/deeplearningexamples', 0.5106650590896606, 'ml-dl', 3), ('cupy/cupy', 0.5093604922294617, 'math', 3), ('rasbt/mlxtend', 0.5090686082839966, 'ml', 1), ('tensorlayer/tensorlayer', 0.508705198764801, 'ml-rl', 1), ('huggingface/datasets', 0.50432950258255, 'nlp', 4), ('danielegrattarola/spektral', 0.5032951831817627, 'ml-dl', 1), ('merantix-momentum/squirrel-core', 0.5030725002288818, 'ml', 4), ('lutzroeder/netron', 0.5027545094490051, 'ml', 4), ('activeloopai/deeplake', 0.5025835037231445, 'ml-ops', 3), ('keras-team/keras-nlp', 0.5025812387466431, 'nlp', 2), ('nccr-itmo/fedot', 0.5016763806343079, 'ml-ops', 1), ('ai4finance-foundation/finrl', 0.5015732645988464, 'finance', 0), ('goldmansachs/gs-quant', 0.5013471841812134, 'finance', 0), ('graykode/nlp-tutorial', 0.5011732578277588, 'study', 2)]

66

6

null

1.58

18

11

88

0

1

3

1

18

48

90

2.7

43

920

util

https://github.com/p0dalirius/coercer

[]

null

[]

null

p0dalirius/coercer

Coercer

1,465

169

21

Python

https://podalirius.net/

A python script to automatically coerce a Windows server to authenticate on an arbitrary machine through 12 methods.

p0dalirius

2024-01-12

2022-06-30

82

17.711572

null

A python script to automatically coerce a Windows server to authenticate on an arbitrary machine through 12 methods.

['authentication', 'automatic', 'call', 'coerce', 'fuzzing', 'ntlm', 'privilege-escalation', 'rpc']

2023-12-24

[]

7

3

null

0.52

9

6

19

1

2

7

2

9

90

1

43

1,904

math

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

['geometry', 'theorem-prover']

Solving Olympiad Geometry without Human Demonstrations

[]

null

google-deepmind/alphageometry

alphageometry

1,134

96

16

Python

null

google-deepmind

2024-01-18

2023-10-09

16

70.247788

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

Solving Olympiad Geometry without Human Demonstrations

[]

['geometry', 'theorem-prover']

2024-01-12

[('shapely/shapely', 0.5421801805496216, 'gis', 1)]

2

0

null

0.08

11

3

0

11

5

90

0.5

43