dylanhogg/awesome-python · Datasets at Hugging Face

631

debug

https://github.com/samuelcolvin/python-devtools

['debug', 'print']

null

[]

null

samuelcolvin/python-devtools

python-devtools

907

49

11

Python

https://python-devtools.helpmanual.io/

Dev tools for python

samuelcolvin

2024-01-12

2017-08-20

336

2.697111

null

Dev tools for python

['devtools', 'python-devtools']

['debug', 'devtools', 'print', 'python-devtools']

2023-09-03

[('alexmojaki/snoop', 0.7110832929611206, 'debug', 0), ('inducer/pudb', 0.6053194999694824, 'debug', 1), ('urwid/urwid', 0.5885550379753113, 'term', 0), ('amaargiru/pyroad', 0.5811712741851807, 'study', 0), ('pympler/pympler', 0.5581871271133423, 'perf', 0), ('nedbat/coveragepy', 0.5552131533622742, 'testing', 0), ('gaogaotiantian/viztracer', 0.5530471205711365, 'profiling', 0), ('pypa/hatch', 0.5391005277633667, 'util', 0), ('jquast/blessed', 0.5346581935882568, 'term', 0), ('landscapeio/prospector', 0.5334382057189941, 'util', 0), ('beeware/toga', 0.5332743525505066, 'gui', 0), ('pypa/pipenv', 0.5316519737243652, 'util', 0), ('rubik/radon', 0.5275425314903259, 'util', 0), ('alexmojaki/birdseye', 0.5242282748222351, 'debug', 0), ('p403n1x87/austin', 0.523003876209259, 'profiling', 0), ('kellyjonbrazil/jc', 0.5224640369415283, 'util', 0), ('alexmojaki/heartrate', 0.5222712755203247, 'debug', 0), ('featurelabs/featuretools', 0.5202803015708923, 'ml', 0), ('python/cpython', 0.5196568965911865, 'util', 0), ('cython/cython', 0.5175613164901733, 'util', 0), ('willmcgugan/textual', 0.5147838592529297, 'term', 0), ('google/python-fire', 0.5147319436073303, 'term', 0), ('cool-rr/pysnooper', 0.5116415619850159, 'debug', 1), ('gotcha/ipdb', 0.5089204907417297, 'debug', 0), ('pypy/pypy', 0.5084391236305237, 'util', 0), ('pythagora-io/gpt-pilot', 0.5080005526542664, 'llm', 0), ('dosisod/refurb', 0.5065819621086121, 'util', 0), ('sourcery-ai/sourcery', 0.506219744682312, 'util', 0), ('goldmansachs/gs-quant', 0.5059173107147217, 'finance', 0), ('beeware/briefcase', 0.5053153038024902, 'util', 0), ('mkdocstrings/griffe', 0.5050040483474731, 'util', 0), ('pytoolz/toolz', 0.5032694935798645, 'util', 0)]

12

5

null

0.37

8

1

78

4

3

4

8

13

90

1.6

33

394

web

https://github.com/emmett-framework/emmett

[]

null

[]

null

emmett-framework/emmett

emmett

899

69

30

Python

null

The web framework for inventors

emmett-framework

2024-01-10

2014-10-20

484

1.85689

https://avatars.githubusercontent.com/u/46401492?v=4

The web framework for inventors

['asgi', 'asyncio', 'emmett', 'web-framework']

2023-12-21

[('django/django', 0.6188867688179016, 'web', 0), ('pallets/flask', 0.6101765632629395, 'web', 1), ('pallets/quart', 0.5764337778091431, 'web', 2), ('neoteroi/blacksheep', 0.5676200985908508, 'web', 2), ('klen/muffin', 0.56635981798172, 'web', 2), ('masoniteframework/masonite', 0.5554807186126709, 'web', 0), ('pylons/pyramid', 0.5466519594192505, 'web', 1), ('reflex-dev/reflex', 0.5462912917137146, 'web', 0), ('huge-success/sanic', 0.5460001230239868, 'web', 3), ('encode/starlette', 0.5443409085273743, 'web', 0), ('pallets/werkzeug', 0.5205287337303162, 'web', 0), ('starlite-api/starlite', 0.5148096084594727, 'web', 2), ('encode/uvicorn', 0.514312207698822, 'web', 2), ('timofurrer/awesome-asyncio', 0.5075742602348328, 'study', 1), ('indico/indico', 0.5001763701438904, 'web', 0)]

24

3

null

0.77

4

3

112

1

9

13

9

4

5

90

1.2

33

1,790

web

https://github.com/feincms/feincms

['cms']

null

[]

null

feincms/feincms

feincms

878

230

39

Python

http://www.feincms.org/

A Django-based CMS with a focus on extensibility and concise code

feincms

2024-01-13

2009-01-27

783

1.121328

https://avatars.githubusercontent.com/u/935594?v=4

A Django-based CMS with a focus on extensibility and concise code

[]

['cms']

2023-12-22

[('stephenmcd/mezzanine', 0.8132669925689697, 'web', 1), ('wagtail/wagtail', 0.7559544444084167, 'web', 1), ('django/django', 0.5812693238258362, 'web', 0), ('pylons/pyramid', 0.5519199371337891, 'web', 0), ('pallets/flask', 0.546400785446167, 'web', 0), ('bottlepy/bottle', 0.5126698613166809, 'web', 0), ('fastapi-admin/fastapi-admin', 0.5065550804138184, 'web', 0), ('pycqa/pylint-django', 0.5040256381034851, 'util', 0), ('eleutherai/pyfra', 0.5029860734939575, 'ml', 0), ('python-markdown/markdown', 0.500464141368866, 'util', 0), ('indico/indico', 0.5001288652420044, 'web', 0)]

136

7

null

0.29

4

182

1

0

7

4

2

90

0.5

33

1,736

viz

https://github.com/pydot/pydot

[]

null

[]

null

pydot/pydot

pydot

830

157

26

Python

https://pypi.python.org/pypi/pydot

Python interface to Graphviz's Dot language

pydot

2024-01-12

2015-04-13

459

1.807716

https://avatars.githubusercontent.com/u/11192979?v=4

Python interface to Graphviz's Dot language

['dot-language', 'graphviz']

2023-12-30

[('pygraphviz/pygraphviz', 0.7296152114868164, 'viz', 0), ('vmiklos/ged2dot', 0.5854193568229675, 'data', 0), ('plotly/plotly.py', 0.5558724403381348, 'viz', 0), ('westhealth/pyvis', 0.542072594165802, 'graph', 0), ('graphistry/pygraphistry', 0.5253562331199646, 'data', 0), ('dmlc/dgl', 0.5208896398544312, 'ml-dl', 0), ('neo4j/neo4j-python-driver', 0.5061096549034119, 'data', 0), ('graphql-python/graphene', 0.5014999508857727, 'web', 0)]

26

2

null

0.23

36

20

107

0

2

36

59

90

1.6

33

1,208

ml

https://github.com/lmcinnes/pynndescent

[]

null

[]

null

lmcinnes/pynndescent

pynndescent

822

101

14

Python

null

A Python nearest neighbor descent for approximate nearest neighbors

lmcinnes

2024-01-12

2018-02-07

311

2.635822

null

A Python nearest neighbor descent for approximate nearest neighbors

['approximate-nearest-neighbor-search', 'knn-graphs', 'nearest-neighbor-search']

2024-01-10

[('spotify/voyager', 0.6540524363517761, 'ml', 1), ('nmslib/hnswlib', 0.6369488835334778, 'ml', 0), ('spotify/annoy', 0.6271777749061584, 'ml', 2), ('scikit-learn-contrib/metric-learn', 0.5760319828987122, 'ml', 0), ('qdrant/quaterion', 0.5621644854545593, 'ml', 1), ('criteo/autofaiss', 0.5459467172622681, 'ml', 0), ('scikit-learn-contrib/lightning', 0.5341041684150696, 'ml', 0)]

27

4

null

0.5

8

1

72

0

3

4

3

8

3

90

0.4

33

734

data

https://github.com/koaning/human-learn

[]

null

[]

null

koaning/human-learn

human-learn

763

55

15

Jupyter Notebook

https://koaning.github.io/human-learn/

Natural Intelligence is still a pretty good idea.

koaning

2024-01-11

2020-07-11

185

4.114792

null

Natural Intelligence is still a pretty good idea.

['benchmark', 'machine-learning', 'scikit-learn']

2024-01-02

[('rasbt/machine-learning-book', 0.6072452068328857, 'study', 2), ('koaning/scikit-lego', 0.5959609150886536, 'ml', 2), ('automl/auto-sklearn', 0.5842374563217163, 'ml', 1), ('intel/scikit-learn-intelex', 0.5819746255874634, 'perf', 2), ('aiqc/aiqc', 0.5812904238700867, 'ml-ops', 0), ('tensorflow/tensorflow', 0.5748200416564941, 'ml-dl', 1), ('explosion/thinc', 0.5714577436447144, 'ml-dl', 1), ('skorch-dev/skorch', 0.5661436319351196, 'ml-dl', 2), ('huggingface/datasets', 0.551318883895874, 'nlp', 1), ('mlflow/mlflow', 0.5503108501434326, 'ml-ops', 1), ('intel/intel-extension-for-pytorch', 0.5494535565376282, 'perf', 1), ('keras-team/keras', 0.5424421429634094, 'ml-dl', 1), ('featurelabs/featuretools', 0.5413556694984436, 'ml', 2), ('determined-ai/determined', 0.5347359776496887, 'ml-ops', 1), ('carla-recourse/carla', 0.5305505394935608, 'ml', 2), ('ageron/handson-ml2', 0.5293908715248108, 'ml', 0), ('iryna-kondr/scikit-llm', 0.5255882143974304, 'llm', 2), ('microsoft/flaml', 0.5246617197990417, 'ml', 2), ('onnx/onnx', 0.5241888761520386, 'ml', 2), ('microsoft/onnxruntime', 0.5241006016731262, 'ml', 2), ('tensorflow/tensor2tensor', 0.5240030884742737, 'ml', 1), ('pytorch/ignite', 0.522743284702301, 'ml-dl', 1), ('ddbourgin/numpy-ml', 0.520194947719574, 'ml', 1), ('pycaret/pycaret', 0.5194460153579712, 'ml', 1), ('milvus-io/bootcamp', 0.5165793895721436, 'data', 0), ('microsoft/nni', 0.5157192349433899, 'ml', 1), ('google/trax', 0.514390230178833, 'ml-dl', 1), ('tensorlayer/tensorlayer', 0.5132976770401001, 'ml-rl', 0), ('gradio-app/gradio', 0.5125566124916077, 'viz', 1), ('sktime/sktime', 0.5112270712852478, 'time-series', 2), ('huggingface/transformers', 0.5105912089347839, 'nlp', 1), ('teamhg-memex/eli5', 0.5102199912071228, 'ml', 2), ('karpathy/micrograd', 0.509779691696167, 'study', 0), ('unity-technologies/ml-agents', 0.5095399618148804, 'ml-rl', 1), ('adap/flower', 0.5073186755180359, 'ml-ops', 2), ('qdrant/quaterion', 0.5016433000564575, 'ml', 1), ('allenai/allennlp', 0.501263439655304, 'nlp', 0)]

6

4

null

0.12

7

4

43

0

1

7

4

90

0.6

33

1,720

util

https://github.com/asottile/reorder-python-imports

['code-quality']

null

[]

null

asottile/reorder-python-imports

reorder-python-imports

692

53

10

Python

null

Rewrites source to reorder python imports

asottile

2024-01-13

2015-01-01

473

1.460796

null

Rewrites source to reorder python imports

['linter', 'pre-commit', 'refactoring']

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

2024-01-08

[('pycqa/isort', 0.5951371192932129, 'util', 2), ('python-rope/rope', 0.5853264331817627, 'util', 1), ('facebookincubator/bowler', 0.5548760890960693, 'util', 1), ('tezromach/python-package-template', 0.5504276156425476, 'template', 0), ('dosisod/refurb', 0.5132452249526978, 'util', 0), ('hadialqattan/pycln', 0.5043818354606628, 'util', 0), ('instagram/fixit', 0.5014389753341675, 'util', 1)]

18

5

null

0.73

8

110

0

7

8

3

90

0.4

33

1,862

ml-rl

https://github.com/denys88/rl_games

[]

RL Games: High performance RL library

[]

null

denys88/rl_games

rl_games

626

107

18

Jupyter Notebook

null

RL implementations

denys88

2024-01-14

2019-01-13

263

2.377645

null

RL implementations

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

2023-12-01

[('thu-ml/tianshou', 0.7549825310707092, 'ml-rl', 1), ('pytorch/rl', 0.7474822402000427, 'ml-rl', 2), ('pytorch/ignite', 0.6810092926025391, 'ml-dl', 2), ('tensorlayer/tensorlayer', 0.6643456816673279, 'ml-rl', 2), ('keras-rl/keras-rl', 0.6609601974487305, 'ml-rl', 1), ('salesforce/warp-drive', 0.6500195264816284, 'ml-rl', 3), ('google/trax', 0.6481664776802063, 'ml-dl', 2), ('humancompatibleai/imitation', 0.6343870759010315, 'ml-rl', 0), ('mrdbourke/pytorch-deep-learning', 0.6325936913490295, 'study', 2), ('karpathy/micrograd', 0.6286336779594421, 'study', 0), ('pyg-team/pytorch_geometric', 0.618355929851532, 'ml-dl', 2), ('nvidia/apex', 0.6122349500656128, 'ml-dl', 0), ('tensorflow/tensor2tensor', 0.6038516163825989, 'ml', 2), ('intel/intel-extension-for-pytorch', 0.6032094359397888, 'perf', 2), ('openai/baselines', 0.5995540618896484, 'ml-rl', 0), ('skorch-dev/skorch', 0.5850237011909485, 'ml-dl', 1), ('huggingface/transformers', 0.5799943208694458, 'nlp', 2), ('deepmind/android_env', 0.577807605266571, 'ml-dl', 1), ('google/dopamine', 0.5697341561317444, 'ml-rl', 0), ('lucidrains/palm-rlhf-pytorch', 0.5653679370880127, 'ml-rl', 2), ('rasbt/machine-learning-book', 0.5648091435432434, 'study', 2), ('ai4finance-foundation/finrl', 0.5618516206741333, 'finance', 1), ('pyro-ppl/pyro', 0.558512806892395, 'ml-dl', 2), ('unity-technologies/ml-agents', 0.5579639077186584, 'ml-rl', 2), ('nicolas-chaulet/torch-points3d', 0.5515884757041931, 'ml', 0), ('ashleve/lightning-hydra-template', 0.550940990447998, 'util', 2), ('intellabs/bayesian-torch', 0.5465734004974365, 'ml', 2), ('huggingface/accelerate', 0.5460307002067566, 'ml', 0), ('allenai/allennlp', 0.5432136654853821, 'nlp', 2), ('determined-ai/determined', 0.5401771664619446, 'ml-ops', 2), ('keras-team/keras', 0.5397940278053284, 'ml-dl', 2), ('ray-project/ray', 0.5337716937065125, 'ml-ops', 3), ('explosion/thinc', 0.5336785316467285, 'ml-dl', 2), ('horovod/horovod', 0.5315641164779663, 'ml-ops', 2), ('deepmind/acme', 0.5312319397926331, 'ml-rl', 1), ('kzl/decision-transformer', 0.5308516025543213, 'ml-rl', 0), ('facebookresearch/pytorch3d', 0.5304609537124634, 'ml-dl', 0), ('nvidia/deeplearningexamples', 0.5283133387565613, 'ml-dl', 2), ('rentruewang/koila', 0.5238789916038513, 'ml', 2), ('openai/spinningup', 0.5233257412910461, 'study', 0), ('xl0/lovely-tensors', 0.5228703618049622, 'ml-dl', 2), ('d2l-ai/d2l-en', 0.5216466188430786, 'study', 3), ('apache/incubator-mxnet', 0.5211288332939148, 'ml-dl', 0), ('mosaicml/composer', 0.5201303958892822, 'ml-dl', 2), ('deepmodeling/deepmd-kit', 0.5176900625228882, 'sim', 1), ('lucidrains/imagen-pytorch', 0.5174486041069031, 'ml-dl', 1), ('google-research/torchsde', 0.5168188810348511, 'math', 2), ('microsoft/deepspeed', 0.5148147940635681, 'ml-dl', 2), ('facebookresearch/habitat-lab', 0.5146901607513428, 'sim', 2), ('shangtongzhang/reinforcement-learning-an-introduction', 0.5131837725639343, 'study', 1), ('lucidrains/dalle2-pytorch', 0.5112625956535339, 'diffusion', 1), ('deepmind/dm_control', 0.5099033117294312, 'ml-rl', 2), ('pytorch/data', 0.5077896118164062, 'data', 0), ('arogozhnikov/einops', 0.5077354311943054, 'ml-dl', 2), ('deepmind/dm-haiku', 0.507714569568634, 'ml-dl', 1), ('pytorch/glow', 0.5074953436851501, 'ml', 0), ('blackhc/toma', 0.5061429738998413, 'ml-dl', 1), ('rasbt/deeplearning-models', 0.5041263103485107, 'ml-dl', 0), ('microsoft/onnxruntime', 0.5028592348098755, 'ml', 2), ('sail-sg/envpool', 0.5019115805625916, 'sim', 1), ('openai/gym', 0.5007779598236084, 'ml-rl', 1), ('pytorch/pytorch', 0.5007427930831909, 'ml-dl', 1)]

14

4

null

0.42

18

12

61

1

2

18

24

90

1.3

33

1,594

llm

https://github.com/continuum-llms/chatgpt-memory

[]

null

[]

1

null

continuum-llms/chatgpt-memory

chatgpt-memory

508

65

11

Python

null

Allows to scale the ChatGPT API to multiple simultaneous sessions with infinite contextual and adaptive memory powered by GPT and Redis datastore.

continuum-llms

2024-01-10

2023-03-12

46

10.975309

https://avatars.githubusercontent.com/u/127662766?v=4

Allows to scale the ChatGPT API to multiple simultaneous sessions with infinite contextual and adaptive memory powered by GPT and Redis datastore.

['chatgpt', 'chatgpt-api', 'memory', 'redis']

2023-10-22

[('run-llama/rags', 0.5546180605888367, 'llm', 1), ('openai/openai-cookbook', 0.5522615909576416, 'ml', 1), ('xtekky/gpt4free', 0.5107817053794861, 'llm', 2), ('zilliztech/gptcache', 0.5097682476043701, 'llm', 3), ('farizrahman4u/loopgpt', 0.5028600096702576, 'llm', 1)]

2

1

null

2.1

4

10

3

0

4

6

90

1.5

33

253

ml

https://github.com/amzn/pecos

[]

null

[]

null

amzn/pecos

pecos

478

103

20

Python

https://libpecos.org/

PECOS - Prediction for Enormous and Correlated Spaces

amzn

2024-01-08

2020-08-12

180

2.64297

https://avatars.githubusercontent.com/u/8594673?v=4

PECOS - Prediction for Enormous and Correlated Spaces

['approximate-nearest-neighbor-search', 'extreme-multi-label-classification', 'extreme-multi-label-ranking', 'machine-learning-algorithms', 'transformers']

2024-01-06

[('scikit-learn-contrib/lightning', 0.5417201519012451, 'ml', 0)]

26

3

null

0.58

17

13

42

0

5

3

5

17

4

90

0.2

33

1,456

util

https://github.com/conda/conda-pack

['conda']

null

[]

null

conda/conda-pack

conda-pack

459

82

27

Python

https://conda.github.io/conda-pack/

Package conda environments for redistribution

conda

2024-01-12

2017-10-17

328

1.39939

https://avatars.githubusercontent.com/u/6392739?v=4

Package conda environments for redistribution

[]

['conda']

2024-01-08

[('mamba-org/quetz', 0.785363495349884, 'util', 1), ('conda/conda-build', 0.7299324870109558, 'util', 1), ('conda/constructor', 0.7213409543037415, 'util', 1), ('mamba-org/boa', 0.7062498927116394, 'util', 1), ('mamba-org/gator', 0.6601476073265076, 'jupyter', 1), ('mamba-org/mamba', 0.6462101340293884, 'util', 1), ('conda-forge/miniforge', 0.5824256539344788, 'util', 0), ('conda-forge/feedstocks', 0.5661166906356812, 'util', 1), ('conda-forge/conda-smithy', 0.5372809767723083, 'util', 0), ('conda/conda', 0.5275230407714844, 'util', 1), ('indygreg/pyoxidizer', 0.5181369781494141, 'util', 0)]

28

5

null

0.88

27

19

76

0

1

2

1

27

31

90

1.1

33

330

ml

https://github.com/jacopotagliabue/reclist

[]

null

[]

null

jacopotagliabue/reclist

reclist

433

26

10

Python

https://reclist.io

Behavioral "black-box" testing for recommender systems

jacopotagliabue

2024-01-08

2021-11-08

116

3.728167

https://avatars.githubusercontent.com/u/105445087?v=4

Behavioral "black-box" testing for recommender systems

['evaluation', 'machine-learning', 'machine-learning-library', 'qa-automation', 'recommender-system']

2023-08-09

[('nicolashug/surprise', 0.5908733010292053, 'ml', 1), ('microsoft/recommenders', 0.5187485218048096, 'study', 1)]

10

2

null

1.37

1

0

27

5

0

3

1

4

90

4

33

581

gis

https://github.com/pysal/momepy

[]

null

[]

null

pysal/momepy

momepy

420

54

20

Python

https://docs.momepy.org

Urban Morphology Measuring Toolkit

pysal

2024-01-14

2018-03-30

304

1.378987

https://avatars.githubusercontent.com/u/3769919?v=4

Urban Morphology Measuring Toolkit

['morphological-analysis', 'morphology', 'morphometrics', 'urban', 'urban-morphometrics', 'urban-street-networks']

2024-01-12

[('spatialucr/geosnap', 0.5846999287605286, 'gis', 0), ('mcordts/cityscapesscripts', 0.564961314201355, 'gis', 0), ('gboeing/street-network-models', 0.5618022680282593, 'sim', 0), ('udst/urbansim', 0.5606027245521545, 'sim', 0)]

14

4

null

0.87

19

17

70

0

2

3

2

19

36

90

1.9

33

1,796

llm

https://github.com/hazyresearch/manifest

['prompt-engineering']

null

[]

null

hazyresearch/manifest

manifest

420

45

22

Python

null

Prompt programming with FMs.

hazyresearch

2024-01-04

2022-05-21

88

4.749596

https://avatars.githubusercontent.com/u/2165246?v=4

Prompt programming with FMs.

[]

['prompt-engineering']

2024-01-12

[('microsoft/promptbase', 0.629546046257019, 'llm', 1), ('hazyresearch/ama_prompting', 0.5880966782569885, 'llm', 1), ('keirp/automatic_prompt_engineer', 0.5553961396217346, 'llm', 1), ('stanfordnlp/dspy', 0.5367062091827393, 'llm', 0), ('promptslab/promptify', 0.5325891971588135, 'nlp', 1)]

9

3

null

0.83

4

2

20

0

7

6

7

4

1

90

0.2

33

678

util

https://github.com/sciunto-org/python-bibtexparser

[]

null

[]

null

sciunto-org/python-bibtexparser

python-bibtexparser

405

168

21

Python

https://bibtexparser.readthedocs.io

Bibtex parser for Python 3

sciunto-org

2024-01-11

2013-01-05

577

0.701385

https://avatars.githubusercontent.com/u/8595754?v=4

Bibtex parser for Python 3

['bibtex', 'bibtex-files', 'latex']

2024-01-04

[]

51

5

null

0.96

28

22

134

0

4

2

4

28

37

90

1.3

33

1,420

llm

https://github.com/likenneth/honest_llama

['language-model']

null

[]

null

likenneth/honest_llama

honest_llama

308

28

7

Python

null

Inference-Time Intervention: Eliciting Truthful Answers from a Language Model

likenneth

2024-01-11

2023-05-19

36

8.421875

null

Inference-Time Intervention: Eliciting Truthful Answers from a Language Model

[]

['language-model']

2023-12-29

[('keirp/automatic_prompt_engineer', 0.5166599750518799, 'llm', 1), ('reasoning-machines/pal', 0.5100179314613342, 'llm', 1)]

4

0

null

0.29

10

7

8

0

10

39

90

3.9

33

506

data

https://github.com/facebookresearch/mephisto

[]

null

[]

null

facebookresearch/mephisto

Mephisto

288

72

16

Python

https://mephisto.ai/

A suite of tools for managing crowdsourcing tasks from the inception through to data packaging for research use.

facebookresearch

2024-01-09

2019-08-19

232

1.240615

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

A suite of tools for managing crowdsourcing tasks from the inception through to data packaging for research use.

[]

2023-12-27

[]

40

3

null

3.15

31

15

54

1

0

5

31

40

90

1.3

33

1,679

util

https://github.com/hadialqattan/pycln

[]

null

[]

null

hadialqattan/pycln

pycln

282

17

3

Python

https://hadialqattan.github.io/pycln

A formatter for finding and removing unused import statements.

hadialqattan

2024-01-12

2020-08-14

180

1.561709

null

A formatter for finding and removing unused import statements.

['cli-app', 'cross-platform', 'formatters', 'linters', 'pycln', 'quality-assurance', 'unused-imports']

2023-11-14

[('pycqa/isort', 0.6549221277236938, 'util', 0), ('pycqa/autoflake', 0.6299516558647156, 'util', 0), ('landscapeio/prospector', 0.6040316224098206, 'util', 0), ('google/yapf', 0.5293893218040466, 'util', 0), ('dosisod/refurb', 0.5226925611495972, 'util', 0), ('kellyjonbrazil/jc', 0.5115851163864136, 'util', 0), ('psf/black', 0.5089622735977173, 'util', 0), ('pypi/warehouse', 0.5063982605934143, 'util', 0), ('nedbat/coveragepy', 0.5058234930038452, 'testing', 0), ('grantjenks/blue', 0.5049071311950684, 'util', 0), ('asottile/reorder-python-imports', 0.5043818354606628, 'util', 0)]

13

4

null

0.62

10

7

42

2

10

12

10

25

90

2.5

33

1,248

util

https://github.com/steamship-core/python-client

[]

null

[]

null

steamship-core/python-client

python-client

280

52

9

Python

null

steamship-core

2024-01-06

2021-05-11

142

1.971831

https://avatars.githubusercontent.com/u/99272373?v=4

steamship-core/python-client

[]

2024-01-03

[('replicate/replicate-python', 0.6438118815422058, 'ml', 0), ('steamship-core/steamship-langchain', 0.5675639510154724, 'util', 0), ('simple-salesforce/simple-salesforce', 0.5220065116882324, 'data', 0)]

12

4

null

5.48

13

12

33

0

83

79

83

13

1

90

0.1

33

1,311

util

https://github.com/rasahq/rasa-sdk

['sdk', 'nlu']

null

[]

null

rasahq/rasa-sdk

rasa-sdk

274

225

35

Python

https://rasa.com/docs

SDK for the development of custom actions for Rasa

rasahq

2024-01-12

2018-06-18

293

0.934698

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

SDK for the development of custom actions for Rasa

[]

['nlu', 'sdk']

2024-01-09

[]

99

4

null

2.12

35

30

68

0

23

21

23

35

12

90

0.3

33

444

gis

https://github.com/pysal/spopt

[]

null

[]

null

pysal/spopt

spopt

233

40

13

Python

https://pysal.org/spopt/

Spatial Optimization

pysal

2024-01-10

2019-03-01

256

0.908129

https://avatars.githubusercontent.com/u/3769919?v=4

Spatial Optimization

['facility-location', 'location-allocation', 'location-modeling', 'regionalization', 'resource-planning', 'routing', 'spatial-analysis', 'spatial-optimization', 'transportation']

2024-01-02

[]

18

5

null

1.25

38

33

59

0

3

39

63

90

1.6

33

567

gis

https://github.com/developmentseed/geojson-pydantic

[]

null

[]

null

developmentseed/geojson-pydantic

geojson-pydantic

179

33

14

Python

https://developmentseed.org/geojson-pydantic/

Pydantic data models for the GeoJSON spec

developmentseed

2024-01-09

2020-05-21

192

0.928836

https://avatars.githubusercontent.com/u/92384?v=4

Pydantic data models for the GeoJSON spec

['geojson', 'geojson-spec', 'pydantic']

2023-12-20

[('brokenloop/jsontopydantic', 0.7540448904037476, 'util', 0)]

22

7

null

1.54

6

4

44

1

0

6

17

90

2.8

33

809

util

https://github.com/aws-samples/sagemaker-ssh-helper

[]

null

[]

null

aws-samples/sagemaker-ssh-helper

sagemaker-ssh-helper

156

21

10

Python

null

A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH (Secure Shell)

aws-samples

2024-01-05

2022-10-14

67

2.308668

https://avatars.githubusercontent.com/u/8931462?v=4

A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH (Secure Shell)

['amazon-sagemaker', 'aws', 'aws-systems-manager', 'machine-learning', 'pycharm', 'sagemaker', 'sagemaker-studio', 'ssh', 'vscode']

2023-08-28

[('aws/sagemaker-python-sdk', 0.671806812286377, 'ml', 3), ('boto/boto3', 0.5350908637046814, 'util', 1), ('rhinosecuritylabs/pacu', 0.5007947087287903, 'security', 1)]

6

3

null

4.25

7

4

15

5

10

11

10

7

22

90

3.1

33

97

data

https://github.com/vi3k6i5/flashtext

[]

null

[]

null

vi3k6i5/flashtext

flashtext

5,496

610

140

Python

null

Extract Keywords from sentence or Replace keywords in sentences.

vi3k6i5

2024-01-13

2017-08-15

337

16.308605

null

Extract Keywords from sentence or Replace keywords in sentences.

['data-extraction', 'keyword-extraction', 'nlp', 'search-in-text', 'word2vec']

2020-05-03

[('sloria/textblob', 0.5837533473968506, 'nlp', 1), ('nltk/nltk', 0.5405317544937134, 'nlp', 1), ('maartengr/keybert', 0.5377181768417358, 'nlp', 1)]

7

1

null

0

7

1

78

45

0

7

4

90

0.6

32

21

nlp

https://github.com/facebookresearch/drqa

['question-answering']

null

[]

null

facebookresearch/drqa

DrQA

4,431

920

160

Python

null

Reading Wikipedia to Answer Open-Domain Questions

facebookresearch

2024-01-12

2017-07-07

342

12.934529

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

Reading Wikipedia to Answer Open-Domain Questions

[]

['question-answering']

2021-05-18

[('goldsmith/wikipedia', 0.5370073318481445, 'data', 0)]

12

5

null

0

79

32

0

90

0

32

1,016

debug

https://github.com/shobrook/rebound

[]

null

[]

null

shobrook/rebound

rebound

4,047

379

77

Python

null

Command-line tool that instantly fetches Stack Overflow results when an exception is thrown

shobrook

2024-01-12

2018-02-28

308

13.103145

null

Command-line tool that instantly fetches Stack Overflow results when an exception is thrown

['command-line-interface', 'command-line-tool', 'error-messages', 'stackoverflow', 'terminal-app']

2022-02-16

[]

16

2

null

0

72

23

0

1

0

90

0

32

999

finance

https://github.com/cuemacro/finmarketpy

[]

null

[]

null

cuemacro/finmarketpy

finmarketpy

3,274

497

215

Python

http://www.cuemacro.com

Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)

cuemacro

2024-01-13

2015-02-19

466

7.014998

https://avatars.githubusercontent.com/u/20479975?v=4

Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)

['backtesting-trading-strategies', 'trading-strategies']

2024-01-01

[('mementum/backtrader', 0.8932955265045166, 'finance', 0), ('gbeced/pyalgotrade', 0.7125941514968872, 'finance', 0), ('goldmansachs/gs-quant', 0.6932242512702942, 'finance', 1), ('kernc/backtesting.py', 0.6904587149620056, 'finance', 2), ('ta-lib/ta-lib-python', 0.6374157071113586, 'finance', 0), ('robcarver17/pysystemtrade', 0.6369601488113403, 'finance', 0), ('ranaroussi/quantstats', 0.6077700853347778, 'finance', 0), ('domokane/financepy', 0.6049692630767822, 'finance', 0), ('wesm/pydata-book', 0.5989004969596863, 'study', 0), ('mementum/bta-lib', 0.5935547947883606, 'finance', 0), ('quantopian/zipline', 0.5911790132522583, 'finance', 0), ('quantconnect/lean', 0.588824987411499, 'finance', 1), ('gbeced/basana', 0.5816241502761841, 'finance', 0), ('pmorissette/bt', 0.5734877586364746, 'finance', 0), ('firmai/atspy', 0.5688939690589905, 'time-series', 0), ('polakowo/vectorbt', 0.5674868822097778, 'finance', 1), ('quantecon/quantecon.py', 0.5637820959091187, 'sim', 0), ('eleutherai/pyfra', 0.5586219429969788, 'ml', 0), ('pmorissette/ffn', 0.5505915284156799, 'finance', 0), ('quantopian/pyfolio', 0.5475354194641113, 'finance', 0), ('python/cpython', 0.5471070408821106, 'util', 0), ('pytoolz/toolz', 0.5427136421203613, 'util', 0), ('fchollet/deep-learning-with-python-notebooks', 0.541059136390686, 'study', 0), ('hydrosquall/tiingo-python', 0.5366682410240173, 'finance', 0), ('alkaline-ml/pmdarima', 0.5333058834075928, 'time-series', 0), ('probml/pyprobml', 0.5201766490936279, 'ml', 0), ('pypy/pypy', 0.5189687013626099, 'util', 0), ('cuemacro/findatapy', 0.5173200368881226, 'finance', 0), ('mynameisfiber/high_performance_python_2e', 0.513410210609436, 'study', 0), ('nedbat/coveragepy', 0.5129390954971313, 'testing', 0), ('statsmodels/statsmodels', 0.5101310610771179, 'ml', 0), ('wolever/parameterized', 0.5073219537734985, 'testing', 0), ('scikit-mobility/scikit-mobility', 0.5044008493423462, 'gis', 0), ('timofurrer/awesome-asyncio', 0.5032345056533813, 'study', 0), ('bashtage/arch', 0.5008066892623901, 'time-series', 0), ('pandas-dev/pandas', 0.5004711747169495, 'pandas', 0)]

14

1

null

0.08

0

108

0

2

0

90

0

32

1,155

nlp

https://github.com/jsvine/markovify

[]

null

[]

null

jsvine/markovify

markovify

3,244

351

70

Python

null

A simple, extensible Markov chain generator.

jsvine

2024-01-13

2015-01-02

473

6.850075

null

A simple, extensible Markov chain generator.

[]

2023-04-04

[]

62

2

null

0.12

0

110

9

0

4

0

90

0

32

1,129

pandas

https://github.com/scikit-learn-contrib/sklearn-pandas

[]

null

[]

null

scikit-learn-contrib/sklearn-pandas

sklearn-pandas

2,768

420

94

Python

null

Pandas integration with sklearn

scikit-learn-contrib

2024-01-12

2013-04-22

562

4.924015

https://avatars.githubusercontent.com/u/17349883?v=4

Pandas integration with sklearn

[]

2022-07-17

[('blaze/blaze', 0.626749575138092, 'pandas', 0), ('nalepae/pandarallel', 0.5978479981422424, 'pandas', 0), ('ddelange/mapply', 0.5479068756103516, 'pandas', 0), ('tkrabel/bamboolib', 0.5288722515106201, 'pandas', 0), ('lux-org/lux', 0.5287317037582397, 'viz', 0), ('adamerose/pandasgui', 0.5230746865272522, 'pandas', 0), ('skops-dev/skops', 0.5230203866958618, 'ml-ops', 0), ('holoviz/spatialpandas', 0.5225083231925964, 'pandas', 0), ('jmcarpenter2/swifter', 0.5050438046455383, 'pandas', 0), ('jakevdp/pythondatasciencehandbook', 0.5033451914787292, 'study', 0)]

39

4

null

0

1

131

18

0

1

90

1

32

1,481

util

https://github.com/nschloe/tikzplotlib

[]

null

[]

null

nschloe/tikzplotlib

tikzplotlib

2,245

190

44

Python

null

:bar_chart: Save matplotlib figures as TikZ/PGFplots for smooth integration into LaTeX.

nschloe

2024-01-13

2010-01-14

732

3.06395

null

📊 Save matplotlib figures as TikZ/PGFplots for smooth integration into LaTeX.

['latex', 'matplotlib', 'pgfplots', 'tikz']

2022-02-28

[('cuemacro/chartpy', 0.5781739354133606, 'viz', 1), ('matplotlib/matplotlib', 0.5151798725128174, 'viz', 1), ('holoviz/hvplot', 0.5042620897293091, 'pandas', 0)]

61

3

null

0

6

1

170

23

0

6

7

90

1.2

32

476

ml-dl

https://github.com/tensorflow/mesh

[]

null

[]

null

tensorflow/mesh

mesh

1,495

260

50

Python

null

Mesh TensorFlow: Model Parallelism Made Easier

tensorflow

2024-01-12

2018-09-20

279

5.34474

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

Mesh TensorFlow: Model Parallelism Made Easier

[]

2023-11-17

[('eleutherai/gpt-neo', 0.665690541267395, 'llm', 0), ('arogozhnikov/einops', 0.5747230052947998, 'ml-dl', 0), ('huggingface/accelerate', 0.5616391897201538, 'ml', 0), ('zacwellmer/worldmodels', 0.5606265068054199, 'ml-rl', 0), ('xl0/lovely-tensors', 0.5570968389511108, 'ml-dl', 0), ('ggerganov/ggml', 0.5549049973487854, 'ml', 0), ('nicolas-chaulet/torch-points3d', 0.5492365956306458, 'ml', 0), ('rafiqhasan/auto-tensorflow', 0.5327334403991699, 'ml-dl', 0), ('huggingface/exporters', 0.5134114623069763, 'ml', 0), ('horovod/horovod', 0.5112833976745605, 'ml-ops', 0), ('hazyresearch/hgcn', 0.5072011351585388, 'ml', 0), ('pytorch/pytorch', 0.5063491463661194, 'ml-dl', 0), ('divamgupta/stable-diffusion-tensorflow', 0.5049545168876648, 'diffusion', 0)]

50

3

null

0.06

2

65

2

0

1

2

0

90

0

32

1,353

study

https://github.com/atcold/nyu-dlsp21

['nyu', 'deep-learning']

null

[]

null

atcold/nyu-dlsp21

NYU-DLSP21

1,477

271

51

Jupyter Notebook

https://atcold.github.io/NYU-DLSP21/

NYU Deep Learning Spring 2021

atcold

2024-01-12

2021-04-15

145

10.136275

null

NYU Deep Learning Spring 2021

['deep-learning', 'ebm', 'nyu', 'yann-le-cunn']

2023-10-04

[('rasbt/stat453-deep-learning-ss20', 0.6361130475997925, 'study', 0), ('d2l-ai/d2l-en', 0.5323129296302795, 'study', 1), ('udacity/deep-learning-v2-pytorch', 0.5313364267349243, 'study', 1), ('udlbook/udlbook', 0.5171167850494385, 'study', 1)]

22

3

null

0.15

0

33

3

0

90

0

32

109

util

https://github.com/nficano/python-lambda

[]

null

[]

null

nficano/python-lambda

python-lambda

1,463

270

32

Python

null

A toolkit for developing and deploying serverless Python code in AWS Lambda.

nficano

2024-01-12

2016-02-26

413

3.537478

null

A toolkit for developing and deploying serverless Python code in AWS Lambda.

['aws', 'aws-lambda', 'microservices', 'serverless']

2022-06-03

[('aws/chalice', 0.9045315980911255, 'web', 3), ('aws/aws-lambda-python-runtime-interface-client', 0.706771194934845, 'util', 0), ('geeogi/async-python-lambda-template', 0.6575234532356262, 'template', 0), ('jordaneremieff/mangum', 0.6575080752372742, 'web', 3), ('boto/boto3', 0.6395252346992493, 'util', 1), ('rpgreen/apilogs', 0.635263204574585, 'util', 2), ('developmentseed/geolambda', 0.6138771176338196, 'gis', 0), ('localstack/localstack', 0.5929733514785767, 'util', 1), ('falconry/falcon', 0.5897996425628662, 'web', 1), ('pallets/quart', 0.5740982890129089, 'web', 0), ('pynamodb/pynamodb', 0.573145866394043, 'data', 1), ('backtick-se/cowait', 0.5466134548187256, 'util', 0), ('awslabs/python-deequ', 0.542289137840271, 'ml', 1), ('amzn/ion-python', 0.5418636798858643, 'data', 0), ('samuelcolvin/aioaws', 0.5388737916946411, 'data', 1), ('aws/serverless-application-model', 0.5357404947280884, 'util', 2), ('aws/aws-sdk-pandas', 0.5259411334991455, 'pandas', 2), ('pyinfra-dev/pyinfra', 0.5205470323562622, 'util', 0), ('pallets/flask', 0.5108464956283569, 'web', 0), ('alirn76/panther', 0.5092719793319702, 'web', 0), ('masoniteframework/masonite', 0.5054439306259155, 'web', 0), ('python-restx/flask-restx', 0.505323588848114, 'web', 0), ('eventual-inc/daft', 0.5019513964653015, 'pandas', 0)]

48

5

null

0

1

0

96

20

0

7

1

90

1

32

890

ml-ops

https://github.com/hi-primus/optimus

[]

null

[]

null

hi-primus/optimus

optimus

1,415

237

39

Python

https://hi-optimus.com

:truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark

hi-primus

2024-01-13

2017-07-13

341

4.140886

https://avatars.githubusercontent.com/u/86029697?v=4

:truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark

['big-data-cleaning', 'bigdata', 'cudf', 'dask', 'dask-cudf', 'data-analysis', 'data-cleaner', 'data-cleaning', 'data-cleansing', 'data-exploration', 'data-extraction', 'data-preparation', 'data-profiling', 'data-science', 'data-transformation', 'data-wrangling', 'machine-learning', 'pyspark', 'spark']

2023-05-19

[('ydataai/ydata-profiling', 0.6320505142211914, 'pandas', 5), ('rapidsai/cudf', 0.6309337019920349, 'pandas', 4), ('pyjanitor-devs/pyjanitor', 0.6122784614562988, 'pandas', 0), ('great-expectations/great_expectations', 0.6027732491493225, 'ml-ops', 2), ('mage-ai/mage-ai', 0.5950447916984558, 'ml-ops', 3), ('ploomber/ploomber', 0.5924459099769592, 'ml-ops', 2), ('saulpw/visidata', 0.5910075902938843, 'term', 0), ('dagworks-inc/hamilton', 0.5767509341239929, 'ml-ops', 3), ('polyaxon/datatile', 0.5730414986610413, 'pandas', 5), ('astronomer/astro-sdk', 0.5675498843193054, 'ml-ops', 2), ('fugue-project/fugue', 0.5615660548210144, 'pandas', 3), ('linealabs/lineapy', 0.5603882074356079, 'jupyter', 0), ('unionai-oss/pandera', 0.557157576084137, 'pandas', 1), ('orchest/orchest', 0.5557096004486084, 'ml-ops', 2), ('meltano/meltano', 0.5476229190826416, 'ml-ops', 0), ('apache/spark', 0.5423697233200073, 'data', 1), ('airbytehq/airbyte', 0.5406291484832764, 'data', 1), ('kubeflow-kale/kale', 0.5404044389724731, 'ml-ops', 1), ('eventual-inc/daft', 0.5366455316543579, 'pandas', 2), ('aws/aws-sdk-pandas', 0.533242404460907, 'pandas', 1), ('netflix/metaflow', 0.5270899534225464, 'ml-ops', 2), ('modin-project/modin', 0.5256850123405457, 'perf', 1), ('avaiga/taipy', 0.5233602523803711, 'data', 0), ('ibis-project/ibis', 0.5208921432495117, 'data', 2), ('vaexio/vaex', 0.5148595571517944, 'perf', 3), ('backtick-se/cowait', 0.5054327249526978, 'util', 3), ('man-group/dtale', 0.5049717426300049, 'viz', 2), ('pandas-dev/pandas', 0.5029491782188416, 'pandas', 2), ('huggingface/datasets', 0.5028654932975769, 'nlp', 1), ('autoviml/auto_ts', 0.5023893713951111, 'time-series', 0)]

24

5

null

0.06

8

5

79

8

1

22

1

8

5

90

0.6

32

413

nlp

https://github.com/chrismattmann/tika-python

[]

null

[]

null

chrismattmann/tika-python

tika-python

1,373

273

39

Python

null

Tika-Python is a Python binding to the Apache Tika™ REST services allowing Tika to be called natively in the Python community.

chrismattmann

2024-01-12

2014-06-26

500

2.742083

null

Tika-Python is a Python binding to the Apache Tika™ REST services allowing Tika to be called natively in the Python community.

['buffer', 'covid-19', 'detection', 'extraction', 'memex', 'mime', 'nlp', 'nlp-library', 'nlp-machine-learning', 'parse', 'parser-interface', 'recognition', 'text-extraction', 'text-recognition', 'tika-python', 'tika-server', 'tika-server-jar', 'translation-interface', 'usc']

2023-08-11

[('nuitka/nuitka', 0.5718207955360413, 'util', 0)]

68

4

null

0.06

2

116

5

0

2

90

1

32

1,132

ml

https://github.com/scikit-learn-contrib/metric-learn

[]

null

[]

null

scikit-learn-contrib/metric-learn

metric-learn

1,358

278

49

Python

http://contrib.scikit-learn.org/metric-learn/

Metric learning algorithms in Python

scikit-learn-contrib

2024-01-12

2013-11-02

534

2.541032

https://avatars.githubusercontent.com/u/17349883?v=4

Metric learning algorithms in Python

['machine-learning', 'metric-learning', 'scikit-learn']

2023-09-29

[('oml-team/open-metric-learning', 0.6861700415611267, 'ml', 1), ('scikit-learn/scikit-learn', 0.6777765154838562, 'ml', 1), ('scikit-learn-contrib/lightning', 0.6158003807067871, 'ml', 1), ('pycaret/pycaret', 0.6015337109565735, 'ml', 1), ('rasbt/mlxtend', 0.6002252101898193, 'ml', 1), ('kevinmusgrave/pytorch-metric-learning', 0.5882241129875183, 'ml', 2), ('automl/auto-sklearn', 0.576133131980896, 'ml', 1), ('lmcinnes/pynndescent', 0.5760319828987122, 'ml', 0), ('featurelabs/featuretools', 0.5696079730987549, 'ml', 2), ('gradio-app/gradio', 0.5687407851219177, 'viz', 1), ('huggingface/evaluate', 0.556303083896637, 'ml', 1), ('dask/dask-ml', 0.5469420552253723, 'ml', 0), ('scikit-learn-contrib/imbalanced-learn', 0.5348906517028809, 'ml', 1), ('sentinel-hub/eo-learn', 0.5314062237739563, 'gis', 1), ('ageron/handson-ml2', 0.5313714146614075, 'ml', 0), ('goldmansachs/gs-quant', 0.5309397578239441, 'finance', 0), ('nicolashug/surprise', 0.5304577946662903, 'ml', 1), ('rasbt/machine-learning-book', 0.5294020175933838, 'study', 2), ('guyallard/markov_clustering', 0.5289827585220337, 'graph', 0), ('numpy/numpy', 0.5264557003974915, 'math', 0), ('scipy/scipy', 0.5236490368843079, 'math', 0), ('qdrant/quaterion', 0.5228015184402466, 'ml', 2), ('districtdatalabs/yellowbrick', 0.516703188419342, 'ml', 2), ('kubeflow/fairing', 0.5143347382545471, 'ml-ops', 0), ('tensorflow/data-validation', 0.5105538368225098, 'ml-ops', 0), ('pysal/pysal', 0.5091261267662048, 'gis', 0), ('skops-dev/skops', 0.504301130771637, 'ml-ops', 2), ('spotify/voyager', 0.503491997718811, 'ml', 1), ('koaning/scikit-lego', 0.5020371675491333, 'ml', 2), ('roban/cosmolopy', 0.500042200088501, 'sim', 0)]

22

8

null

0.17

1

124

4

1

90

1

32

1,825

util

https://github.com/aws-samples/aws-glue-samples

['aws', 'glue']

null

[]

null

aws-samples/aws-glue-samples

aws-glue-samples

1,349

771

76

Python

null

AWS Glue code samples

aws-samples

2024-01-08

2017-05-21

349

3.862168

https://avatars.githubusercontent.com/u/8931462?v=4

AWS Glue code samples

[]

['aws', 'glue']

2023-10-18

[]

34

2

null

0.62

2

0

81

3

0

2

4

90

2

32

405

perf

https://github.com/pympler/pympler

[]

null

[]

null

pympler/pympler

pympler

1,119

90

10

Python

null

Development tool to measure, monitor and analyze the memory behavior of Python objects in a running Python application.

pympler

2024-01-13

2012-10-04

590

1.894317

https://avatars.githubusercontent.com/u/2490143?v=4

Development tool to measure, monitor and analyze the memory behavior of Python objects in a running Python application.

[]

2022-07-24

[('pythonprofilers/memory_profiler', 0.8423640131950378, 'profiling', 0), ('pythonspeed/filprofiler', 0.7303571105003357, 'profiling', 0), ('joblib/joblib', 0.6179777979850769, 'util', 0), ('eleutherai/pyfra', 0.6173771023750305, 'ml', 0), ('gaogaotiantian/viztracer', 0.6162266731262207, 'profiling', 0), ('landscapeio/prospector', 0.6098625659942627, 'util', 0), ('dgilland/cacheout', 0.6028500199317932, 'perf', 0), ('pyston/pyston', 0.5993977189064026, 'util', 0), ('alexmojaki/snoop', 0.5967013835906982, 'debug', 0), ('nedbat/coveragepy', 0.5953695178031921, 'testing', 0), ('pypy/pypy', 0.5909916758537292, 'util', 0), ('python-cachier/cachier', 0.5893210768699646, 'perf', 0), ('pyutils/line_profiler', 0.5873364806175232, 'profiling', 0), ('open-telemetry/opentelemetry-python-contrib', 0.5808881521224976, 'util', 0), ('benfred/py-spy', 0.5802413821220398, 'profiling', 0), ('pytables/pytables', 0.5767551064491272, 'data', 0), ('erotemic/ubelt', 0.574570894241333, 'util', 0), ('alexmojaki/heartrate', 0.57415771484375, 'debug', 0), ('bloomberg/memray', 0.5725077390670776, 'profiling', 0), ('py4j/py4j', 0.5723164677619934, 'util', 0), ('rubik/radon', 0.568540632724762, 'util', 0), ('p403n1x87/austin', 0.5645143389701843, 'profiling', 0), ('citadel-ai/langcheck', 0.5642958283424377, 'llm', 0), ('willmcgugan/textual', 0.5624990463256836, 'term', 0), ('sumerc/yappi', 0.559504508972168, 'profiling', 0), ('ionelmc/pytest-benchmark', 0.5586925148963928, 'testing', 0), ('samuelcolvin/python-devtools', 0.5581871271133423, 'debug', 0), ('klen/py-frameworks-bench', 0.5578858256340027, 'perf', 0), ('malloydata/malloy-py', 0.5531739592552185, 'data', 0), ('exaloop/codon', 0.5520622730255127, 'perf', 0), ('micropython/micropython', 0.5511940121650696, 'util', 0), ('dosisod/refurb', 0.5501025915145874, 'util', 0), ('python/cpython', 0.5499320030212402, 'util', 0), ('facebook/pyre-check', 0.5445180535316467, 'typing', 0), ('agronholm/apscheduler', 0.5432737469673157, 'util', 0), ('cython/cython', 0.5429266691207886, 'util', 0), ('pytoolz/toolz', 0.5427612066268921, 'util', 0), ('pyglet/pyglet', 0.5425298810005188, 'gamedev', 0), ('hoffstadt/dearpygui', 0.5417070388793945, 'gui', 0), ('pypa/hatch', 0.5399362444877625, 'util', 0), ('jiffyclub/snakeviz', 0.5296313762664795, 'profiling', 0), ('google/gin-config', 0.5286837816238403, 'util', 0), ('requests/toolbelt', 0.5279673337936401, 'util', 0), ('indygreg/pyoxidizer', 0.5277453064918518, 'util', 0), ('reloadware/reloadium', 0.5263128876686096, 'profiling', 0), ('google/pytype', 0.524192750453949, 'typing', 0), ('libtcod/python-tcod', 0.52317214012146, 'gamedev', 0), ('locustio/locust', 0.5212385058403015, 'testing', 0), ('fastai/fastcore', 0.5204732418060303, 'util', 0), ('getsentry/responses', 0.520066499710083, 'testing', 0), ('lcompilers/lpython', 0.5168886184692383, 'util', 0), ('google/jax', 0.516033411026001, 'ml', 0), ('mkdocstrings/griffe', 0.5151218771934509, 'util', 0), ('beeware/toga', 0.5115267634391785, 'gui', 0), ('python-rope/rope', 0.5101566910743713, 'util', 0), ('nickreynke/python-gedcom', 0.5089355111122131, 'data', 0), ('agronholm/typeguard', 0.5068668127059937, 'typing', 0), ('wesm/pydata-book', 0.505323588848114, 'study', 0), ('google/python-fire', 0.5053215622901917, 'term', 0), ('wolever/parameterized', 0.5015774965286255, 'testing', 0), ('xrudelis/pytrait', 0.5008642077445984, 'util', 0), ('connorferster/handcalcs', 0.5004320740699768, 'jupyter', 0)]

29

6

null

0

2

1

137

18

0

2

8

90

4

32

1,485

util

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

['dependency-injection']

null

[]

null

python-injector/injector

injector

1,092

76

14

Python

null

Python dependency injection framework, inspired by Guice

python-injector

2024-01-14

2010-11-25

687

1.587869

https://avatars.githubusercontent.com/u/119698538?v=4

Python dependency injection framework, inspired by Guice

['dependency-injection', 'dependency-injection-framework', 'di', 'injector']

2023-12-13

[('ivankorobkov/python-inject', 0.7356547713279724, 'util', 1), ('allrod5/injectable', 0.6809417605400085, 'util', 1), ('ets-labs/python-dependency-injector', 0.6611223220825195, 'util', 2), ('proofit404/dependencies', 0.554645836353302, 'util', 1), ('mitsuhiko/rye', 0.5345786213874817, 'util', 0), ('indygreg/pyoxidizer', 0.5219050645828247, 'util', 0), ('python-poetry/poetry', 0.5174149870872498, 'util', 0), ('pdm-project/pdm', 0.5129967927932739, 'util', 0)]

29

3

null

0.38

9

6

160

1

0

4

8

10

90

1.2

32

721

gis

https://github.com/geospatialpython/pyshp

[]

null

[]

null

geospatialpython/pyshp

pyshp

1,062

263

66

Python

null

This library reads and writes ESRI Shapefiles in pure Python.

geospatialpython

2024-01-09

2014-03-04

517

2.054159

null

This library reads and writes ESRI Shapefiles in pure Python.

[]

2023-08-18

[('imageio/imageio', 0.5908835530281067, 'util', 0), ('jorisschellekens/borb', 0.5256045460700989, 'util', 0), ('pytoolz/toolz', 0.5238029360771179, 'util', 0), ('julienpalard/pipe', 0.5082536935806274, 'util', 0)]

42

5

null

0.04

1

0

120

5

0

2

1

2

90

2

32

1,728

llm

https://github.com/rlancemartin/auto-evaluator

['evaluation', 'question-answering']

null

[]

null

rlancemartin/auto-evaluator

auto-evaluator

982

90

8

Python

https://autoevaluator.langchain.com/

Evaluation tool for LLM QA chains

rlancemartin

2024-01-12

2023-04-14

41

23.621993

null

Evaluation tool for LLM QA chains

[]

['evaluation', 'question-answering']

2023-05-10

[('night-chen/toolqa', 0.641534149646759, 'llm', 1), ('whitead/paper-qa', 0.5889334678649902, 'llm', 1), ('citadel-ai/langcheck', 0.5368258357048035, 'llm', 1), ('ibm/dromedary', 0.521746814250946, 'llm', 0), ('confident-ai/deepeval', 0.5153782963752747, 'testing', 1)]

8

1

null

0.48

0

9

8

0

90

0

32

1,877

math

https://github.com/cma-es/pycma

['numerical-optimization']

pycma is a Python implementation of CMA-ES and a few related numerical optimization tools.

[]

null

cma-es/pycma

pycma

979

170

17

Python

null

Python implementation of CMA-ES

cma-es

2024-01-09

2016-09-22

383

2.551378

https://avatars.githubusercontent.com/u/9052298?v=4

Python implementation of CMA-ES

[]

['numerical-optimization']

2023-12-12

[('scipy/scipy', 0.5867729187011719, 'math', 0), ('numpy/numpy', 0.5440859198570251, 'math', 0), ('scikit-optimize/scikit-optimize', 0.5281330943107605, 'ml', 0), ('stijnwoestenborghs/gradi-mojo', 0.5154417753219604, 'util', 0), ('pyomo/pyomo', 0.5060227513313293, 'math', 0)]

13

2

null

1.37

30

20

89

1

2

1

30

27

90

0.9

32

1,677

util

https://github.com/pycqa/autoflake

[]

null

[]

null

pycqa/autoflake

autoflake

833

79

14

Python

https://pypi.org/project/autoflake/

Removes unused imports and unused variables as reported by pyflakes

pycqa

2024-01-12

2012-12-27

578

1.439398

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

Removes unused imports and unused variables as reported by pyflakes

['formatter', 'linter', 'pyflakes']

2024-01-12

[('hadialqattan/pycln', 0.6299516558647156, 'util', 0), ('pycqa/eradicate', 0.5524262189865112, 'util', 0)]

38

5

null

1.5

8

134

0

6

5

6

8

0

90

0

32

1,567

llm

https://github.com/cerebras/modelzoo

['training']

null

[]

null

cerebras/modelzoo

modelzoo

776

110

23

Python

null

cerebras

2024-01-13

2022-04-08

94

8.205438

https://avatars.githubusercontent.com/u/19580083?v=4

cerebras/modelzoo

[]

['training']

2023-11-28

[]

4

1

null

0.29

12

8

22

2

0

4

12

1

90

0.1

32

1,479

testing

https://github.com/nose-devs/nose2

[]

null

[]

null

nose-devs/nose2

nose2

768

137

23

Python

https://nose2.io

The successor to nose, based on unittest2

nose-devs

2024-01-10

2011-12-14

632

1.213544

https://avatars.githubusercontent.com/u/1263082?v=4

The successor to nose, based on unittest2

['nose', 'nose2', 'nosetest', 'nosetests', 'testing', 'testing-framework', 'testing-library', 'testing-tool', 'testing-tools', 'unit-test', 'unittest', 'unittesting']

2023-12-25

[]

77

4

null

0.75

13

8

147

1

0

3

13

11

90

0.8

32

623

gis

https://github.com/makepath/xarray-spatial

[]

null

[]

null

makepath/xarray-spatial

xarray-spatial

752

79

23

Python

https://xarray-spatial.org

Raster-based Spatial Analytics for Python

makepath

2024-01-04

2020-02-08

207

3.625344

https://avatars.githubusercontent.com/u/60046102?v=4

Raster-based Spatial Analytics for Python

['datashader', 'numba', 'raster-analysis', 'spatial-analysis', 'xarray']

2023-07-10

[('pysal/pysal', 0.6753366589546204, 'gis', 0), ('earthlab/earthpy', 0.6488336324691772, 'gis', 0), ('residentmario/geoplot', 0.59319007396698, 'gis', 1), ('toblerity/rtree', 0.5867227911949158, 'gis', 0), ('contextlab/hypertools', 0.5519405603408813, 'ml', 0), ('geopandas/geopandas', 0.5509017705917358, 'gis', 0), ('pandas-dev/pandas', 0.5457472801208496, 'pandas', 0), ('holoviz/spatialpandas', 0.5339615941047668, 'pandas', 0), ('artelys/geonetworkx', 0.5338029265403748, 'gis', 0), ('holoviz/hvplot', 0.5334243178367615, 'pandas', 1), ('opengeos/leafmap', 0.5318371057510376, 'gis', 0), ('altair-viz/altair', 0.5251989364624023, 'viz', 0), ('scitools/iris', 0.523902952671051, 'gis', 0), ('scikit-mobility/scikit-mobility', 0.5155532956123352, 'gis', 0), ('gregorhd/mapcompare', 0.5138509273529053, 'gis', 0), ('corteva/rioxarray', 0.511622428894043, 'gis', 1), ('holoviz/holoviz', 0.510444700717926, 'viz', 1), ('perrygeo/python-rasterstats', 0.5050948262214661, 'gis', 0), ('pycaret/pycaret', 0.5047616362571716, 'ml', 0), ('pyqtgraph/pyqtgraph', 0.503014862537384, 'viz', 0), ('tdameritrade/stumpy', 0.5024837851524353, 'time-series', 1), ('marcomusy/vedo', 0.5006656646728516, 'viz', 0)]

28

4

null

0.21

99

95

48

6

2

10

2

99

3

90

0

32

1,726

util

https://github.com/urschrei/pyzotero

['zotero']

null

[]

null

urschrei/pyzotero

pyzotero

734

86

17

Python

https://pyzotero.readthedocs.org

Pyzotero: a Python client for the Zotero API

urschrei

2024-01-12

2011-02-28

674

1.08879

null

Pyzotero: a Python client for the Zotero API

['citations', 'digital-humanities', 'zotero']

2023-12-04

[('goldsmith/wikipedia', 0.5380213856697083, 'data', 0), ('eleutherai/pyfra', 0.5244025588035583, 'ml', 0), ('scholarly-python-package/scholarly', 0.5180812478065491, 'data', 1), ('paperswithcode/galai', 0.5094993710517883, 'llm', 1)]

27

8

null

0.69

6

4

157

1

11

6

3

90

0.5

32

679

ml

https://github.com/nvidia/cuda-python

[]

null

[]

null

nvidia/cuda-python

cuda-python

689

90

30

Python

https://nvidia.github.io/cuda-python/

CUDA Python Low-level Bindings

nvidia

2024-01-13

2021-06-28

135

5.098309

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

CUDA Python Low-level Bindings

[]

2023-11-29

[('pybind/pybind11', 0.6058850288391113, 'perf', 0), ('cupy/cupy', 0.5955917835235596, 'math', 0), ('pytorch/data', 0.5482061505317688, 'data', 0), ('numba/numba', 0.5387571454048157, 'perf', 0), ('rapidsai/cudf', 0.5373781323432922, 'pandas', 0), ('pytoolz/toolz', 0.5279120802879333, 'util', 0), ('marella/ctransformers', 0.5207217931747437, 'nlp', 0), ('pachyderm/python-pachyderm', 0.5181779861450195, 'data', 0), ('pyca/pynacl', 0.5136300921440125, 'util', 0), ('google/jax', 0.5065921545028687, 'ml', 0), ('rentruewang/koila', 0.5058760046958923, 'ml', 0), ('arogozhnikov/einops', 0.5039113759994507, 'ml-dl', 0), ('numba/llvmlite', 0.5029944181442261, 'util', 0)]

2

1

null

0.13

7

5

31

2

6

7

9

90

1.3

32

1,568

ml

https://github.com/huggingface/exporters

['coreml']

null

[]

null

huggingface/exporters

exporters

484

29

23

Python

null

Export Hugging Face models to Core ML and TensorFlow Lite

huggingface

2024-01-10

2022-05-23

88

5.491086

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

Export Hugging Face models to Core ML and TensorFlow Lite

['coreml', 'coremltools', 'deep-learning', 'machine-learning', 'model-converter', 'pytorch', 'tensorflow', 'tflite', 'transformer']

2023-11-22

[('apple/coremltools', 0.6746289730072021, 'ml', 6), ('huggingface/huggingface_hub', 0.6611513495445251, 'ml', 3), ('huggingface/transformers', 0.618623673915863, 'nlp', 5), ('aws/sagemaker-python-sdk', 0.5837609171867371, 'ml', 3), ('lutzroeder/netron', 0.5719174742698669, 'ml', 5), ('huggingface/datasets', 0.5662267804145813, 'nlp', 4), ('tensorly/tensorly', 0.5597980618476868, 'ml-dl', 3), ('nielsrogge/transformers-tutorials', 0.5573378205299377, 'study', 1), ('rafiqhasan/auto-tensorflow', 0.556242823600769, 'ml-dl', 2), ('deepfakes/faceswap', 0.5523707270622253, 'ml-dl', 2), ('arogozhnikov/einops', 0.5518941283226013, 'ml-dl', 3), ('ggerganov/ggml', 0.5472779870033264, 'ml', 1), ('kubeflow/fairing', 0.5441210269927979, 'ml-ops', 0), ('neuralmagic/sparseml', 0.5338050127029419, 'ml-dl', 2), ('nvlabs/gcvit', 0.5337070822715759, 'diffusion', 1), ('skorch-dev/skorch', 0.532882034778595, 'ml-dl', 2), ('keras-team/autokeras', 0.5266240239143372, 'ml-dl', 3), ('xl0/lovely-tensors', 0.5227699875831604, 'ml-dl', 2), ('huggingface/optimum', 0.5176335573196411, 'ml', 2), ('horovod/horovod', 0.5157522559165955, 'ml-ops', 4), ('tensorflow/mesh', 0.5134114623069763, 'ml-dl', 0), ('microsoft/nni', 0.5089559555053711, 'ml', 4), ('mosaicml/composer', 0.5061023235321045, 'ml-dl', 3), ('ashawkey/stable-dreamfusion', 0.503178060054779, 'diffusion', 0), ('eleutherai/gpt-neo', 0.5027332901954651, 'llm', 0), ('ashleve/lightning-hydra-template', 0.5000954270362854, 'util', 2)]

6

3

null

0.79

14

8

20

2

0

14

12

90

0.9

32

1,253

llm

https://github.com/hazyresearch/h3

[]

null

[]

null

hazyresearch/h3

H3

472

54

32

Assembly

null

Language Modeling with the H3 State Space Model

hazyresearch

2024-01-05

2022-12-28

56

8.301508

https://avatars.githubusercontent.com/u/2165246?v=4

Language Modeling with the H3 State Space Model

[]

2023-09-29

[('freedomintelligence/llmzoo', 0.5786004066467285, 'llm', 0), ('juncongmoo/pyllama', 0.567010223865509, 'llm', 0), ('ctlllll/llm-toolmaker', 0.5581068992614746, 'llm', 0), ('lvwerra/trl', 0.5428241491317749, 'llm', 0), ('yizhongw/self-instruct', 0.534803569316864, 'llm', 0), ('hannibal046/awesome-llm', 0.5333759784698486, 'study', 0), ('jonasgeiping/cramming', 0.5188775062561035, 'nlp', 0), ('ai21labs/lm-evaluation', 0.5161812901496887, 'llm', 0), ('facebookresearch/codellama', 0.513182520866394, 'llm', 0), ('keirp/automatic_prompt_engineer', 0.5113564729690552, 'llm', 0), ('guidance-ai/guidance', 0.5101184248924255, 'llm', 0), ('openai/gpt-2', 0.5015887022018433, 'llm', 0)]

4

1

null

0.52

1

0

13

4

0

1

4

90

4

32

716

perf

https://github.com/noxdafox/pebble

[]

null

[]

null

noxdafox/pebble

pebble

465

46

10

Python

null

Multi threading and processing eye-candy.

noxdafox

2024-01-13

2013-10-16

536

0.866152

null

Multi threading and processing eye-candy.

['asyncio', 'decorators', 'multiprocessing', 'pool', 'threading']

2023-12-26

[('sumerc/yappi', 0.7094334959983826, 'profiling', 1), ('joblib/joblib', 0.6440830826759338, 'util', 2), ('agronholm/anyio', 0.6101366281509399, 'perf', 1), ('python-greenlet/greenlet', 0.6010660529136658, 'perf', 0), ('python-trio/trio', 0.5942329168319702, 'perf', 0), ('samuelcolvin/arq', 0.5885294675827026, 'data', 1), ('magicstack/uvloop', 0.5719602108001709, 'util', 1), ('joblib/loky', 0.5490549802780151, 'perf', 0), ('tiangolo/asyncer', 0.5147314667701721, 'perf', 1), ('alex-sherman/unsync', 0.5057518482208252, 'util', 0)]

15

5

null

0.42

3

125

1

3

2

3

9

90

3

32

49

util

https://github.com/mozillazg/pypy

[]

null

[]

null

mozillazg/pypy

pypy

442

66

13

Python

https://foss.heptapod.net/pypy/pypy

The unofficial GitHub mirror of PyPy (mirrored via https://github.com/mozillazg/job-mirror-hg-repos)

mozillazg

2024-01-13

2015-08-03

443

0.997421

null

The unofficial GitHub mirror of PyPy (mirrored via https://github.com/mozillazg/job-mirror-hg-repos)

['github-mirror', 'pypy', 'read-only-repository', 'readonly', 'unofficial', 'unofficial-mirror']

2023-12-25

[('pypa/gh-action-pypi-publish', 0.6144118309020996, 'util', 0), ('pypi/warehouse', 0.5795431733131409, 'util', 0), ('fauxpilot/fauxpilot', 0.5119403004646301, 'llm', 0), ('yaml/pyyaml', 0.5088357329368591, 'util', 0)]

374

2

null

4.33

5

1

103

1

0

22

5

2

90

0.4

32

1,205

llm

https://github.com/kbressem/medalpaca

['question-answering']

null

[]

null

kbressem/medalpaca

medAlpaca

378

39

14

Python

null

LLM finetuned for medical question answering

kbressem

2024-01-13

2023-03-28

44

8.590909

null

LLM finetuned for medical question answering

[]

['question-answering']

2023-09-07

[('epfllm/meditron', 0.5290087461471558, 'llm', 0)]

6

4

null

1.46

5

0

10

4

0

5

3

90

0.6

32

519

gis

https://github.com/pygeos/pygeos

[]

null

[]

null

pygeos/pygeos

pygeos

375

42

14

Python

https://pygeos.readthedocs.io

Wraps GEOS geometry functions in numpy ufuncs.

pygeos

2024-01-10

2019-06-10

242

1.548673

https://avatars.githubusercontent.com/u/56478268?v=4

Wraps GEOS geometry functions in numpy ufuncs.

[]

2022-12-14

[]

13

9

null

0

1

56

13

0

4

1

5

90

5

32

589

gis

https://github.com/geopython/owslib

[]

null

[]

null

geopython/owslib

OWSLib

356

271

30

Python

https://owslib.readthedocs.io

OWSLib is a Python package for client programming with Open Geospatial Consortium (OGC) web service (hence OWS) interface standards, and their related content models.

geopython

2024-01-12

2012-01-13

628

0.566364

https://avatars.githubusercontent.com/u/1855122?v=4

OWSLib is a Python package for client programming with Open Geospatial Consortium (OGC) web service (hence OWS) interface standards, and their related content models.

['ogc', 'ogcapi', 'ows']

2023-12-18

[]

146

5

null

0.77

14

9

146

1

6

7

6

14

12

90

0.9

32

336

util

https://github.com/mrabarnett/mrab-regex

[]

null

[]

null

mrabarnett/mrab-regex

mrab-regex

321

37

7

C

null

mrabarnett

2024-01-05

2020-11-02

169

1.897804

null

mrabarnett/mrab-regex

[]

2023-12-24

[]

9

2

null

0.31

15

8

39

1

0

9

15

33

90

2.2

32

1,009

finance

https://github.com/gbeced/basana

[]

null

[]

null

gbeced/basana

basana

292

33

13

Python

null

A Python async and event driven framework for algorithmic trading, with a focus on crypto currencies.

gbeced

2024-01-13

2023-03-04

47

6.156627

null

A Python async and event driven framework for algorithmic trading, with a focus on crypto currencies.

['algorithmic-trading', 'asyncio', 'backtesting', 'binance', 'cryptocurrency', 'trading-bot']

2024-01-07

[('gbeced/pyalgotrade', 0.7055126428604126, 'finance', 0), ('quantopian/zipline', 0.6551344394683838, 'finance', 1), ('robcarver17/pysystemtrade', 0.6477593779563904, 'finance', 0), ('quantconnect/lean', 0.6268382668495178, 'finance', 1), ('freqtrade/freqtrade', 0.6232483983039856, 'crypto', 3), ('ccxt/ccxt', 0.6148871183395386, 'crypto', 1), ('idanya/algo-trader', 0.6138817071914673, 'finance', 3), ('ethereum/web3.py', 0.6058024168014526, 'crypto', 0), ('numerai/example-scripts', 0.6021682024002075, 'finance', 1), ('polakowo/vectorbt', 0.5863175392150879, 'finance', 3), ('primal100/pybitcointools', 0.5842757821083069, 'crypto', 0), ('cuemacro/finmarketpy', 0.5816241502761841, 'finance', 0), ('blankly-finance/blankly', 0.5776981711387634, 'finance', 3), ('mementum/backtrader', 0.5649062991142273, 'finance', 1), ('1200wd/bitcoinlib', 0.5637730360031128, 'crypto', 0), ('pmaji/crypto-whale-watching-app', 0.553300142288208, 'crypto', 1), ('hydrosquall/tiingo-python', 0.5487340688705444, 'finance', 0), ('kernc/backtesting.py', 0.5409364700317383, 'finance', 2), ('ranaroussi/quantstats', 0.5287092328071594, 'finance', 1), ('goldmansachs/gs-quant', 0.5250836610794067, 'finance', 0), ('magicstack/uvloop', 0.5239098072052002, 'util', 1), ('cyberpunkmetalhead/binance-volatility-trading-bot', 0.518947184085846, 'crypto', 0), ('bmoscon/cryptofeed', 0.5091555118560791, 'crypto', 3), ('ethereum/py-evm', 0.5067870616912842, 'crypto', 0), ('zvtvz/zvt', 0.5045093297958374, 'finance', 4), ('pallets/quart', 0.5044360160827637, 'web', 1), ('firmai/atspy', 0.5008696913719177, 'time-series', 0)]

5

0

null

2.46

1

11

0

12

1

90

1

32

489

gis

https://github.com/cogeotiff/rio-cogeo

[]

null

[]

null

cogeotiff/rio-cogeo

rio-cogeo

275

34

44

Python

https://cogeotiff.github.io/rio-cogeo/

Cloud Optimized GeoTIFF creation and validation plugin for rasterio

cogeotiff

2024-01-11

2018-03-09

307

0.894101

https://avatars.githubusercontent.com/u/40065466?v=4

Cloud Optimized GeoTIFF creation and validation plugin for rasterio

['cog', 'cogeotiff', 'geotiff', 'rasterio', 'satellite']

2024-01-08

[('cogeotiff/rio-tiler', 0.6072856783866882, 'gis', 4)]

17

5

null

0.52

2

71

0

11

2

4

90

2

32

1,615

data

https://github.com/github/innovationgraph

['github', 'economy']

null

[]

null

github/innovationgraph

innovationgraph

248

20

88

Python

https://innovationgraph.github.com/

GitHub Innovation Graph

github

2024-01-10

2023-09-14

19

12.57971

https://avatars.githubusercontent.com/u/9919?v=4

GitHub Innovation Graph

['data', 'github', 'open-data']

['data', 'economy', 'github', 'open-data']

2024-01-11

[('fastai/ghapi', 0.5455352067947388, 'util', 1), ('zenodo/zenodo', 0.5064103007316589, 'util', 0)]

3

1

null

0.12

4

3

4

0

2

6

2

4

0

90

0

32

851

jupyter

https://github.com/jupyter/nbformat

[]

null

[]

null

jupyter/nbformat

nbformat

231

154

22

Python

http://nbformat.readthedocs.io/

Reference implementation of the Jupyter Notebook format

jupyter

2024-01-09

2015-04-09

459

0.502486

https://avatars.githubusercontent.com/u/7388996?v=4

Reference implementation of the Jupyter Notebook format

[]

2024-01-02

[('jupyter/nbconvert', 0.810336709022522, 'jupyter', 0), ('jupyter/notebook', 0.7493022680282593, 'jupyter', 0), ('cohere-ai/notebooks', 0.7138713598251343, 'llm', 0), ('jupyter-widgets/ipywidgets', 0.7056740522384644, 'jupyter', 0), ('jakevdp/pythondatasciencehandbook', 0.6972000598907471, 'study', 0), ('mwouts/jupytext', 0.6959807276725769, 'jupyter', 0), ('jupyterlab/jupyterlab-desktop', 0.6620615720748901, 'jupyter', 0), ('ipython/ipykernel', 0.6578472852706909, 'util', 0), ('fchollet/deep-learning-with-python-notebooks', 0.6576974987983704, 'study', 0), ('jupyterlab/jupyterlab', 0.6569828987121582, 'jupyter', 0), ('jupyter/nbgrader', 0.6341890692710876, 'jupyter', 0), ('quantopian/qgrid', 0.6320311427116394, 'jupyter', 0), ('aws/graph-notebook', 0.6213883757591248, 'jupyter', 0), ('nteract/papermill', 0.618989109992981, 'jupyter', 0), ('jupyter/nbdime', 0.6054288148880005, 'jupyter', 0), ('wesm/pydata-book', 0.6051349639892578, 'study', 0), ('nteract/testbook', 0.5974855422973633, 'jupyter', 0), ('voila-dashboards/voila', 0.5947333574295044, 'jupyter', 0), ('ageron/handson-ml2', 0.5934438705444336, 'ml', 0), ('ipython/ipyparallel', 0.5791874527931213, 'perf', 0), ('computationalmodelling/nbval', 0.5732461214065552, 'jupyter', 0), ('vizzuhq/ipyvizzu', 0.5726070404052734, 'jupyter', 0), ('maartenbreddels/ipyvolume', 0.5637709498405457, 'jupyter', 0), ('rasbt/watermark', 0.5627220869064331, 'util', 0), ('bloomberg/ipydatagrid', 0.5524267554283142, 'jupyter', 0), ('nbqa-dev/nbqa', 0.5436616539955139, 'jupyter', 0), ('jupyter-lsp/jupyterlab-lsp', 0.5423336029052734, 'jupyter', 0), ('xiaohk/stickyland', 0.5371445417404175, 'jupyter', 0), ('koaning/drawdata', 0.5362401008605957, 'jupyter', 0), ('tkrabel/bamboolib', 0.5312812328338623, 'pandas', 0), ('mamba-org/gator', 0.5302620530128479, 'jupyter', 0), ('python/cpython', 0.5262817740440369, 'util', 0), ('jupyterlite/jupyterlite', 0.5237820744514465, 'jupyter', 0), ('dask/fastparquet', 0.5203571915626526, 'data', 0), ('chaoleili/jupyterlab_tensorboard', 0.5145013928413391, 'jupyter', 0)]

79

7

null

0.71

15

8

107

0

4

15

13

90

0.9

32

1,886

llm

https://github.com/predibase/llm_distillation_playbook

['llm-distillation']

null

[]

null

predibase/llm_distillation_playbook

llm_distillation_playbook

214

13

5

Jupyter Notebook

null

Practical best practices for distilling large language models.

predibase

2024-01-14

2023-12-06

7

27.236364

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

Practical best practices for distilling large language models.

[]

['llm-distillation']

2024-01-08

[('cg123/mergekit', 0.622988224029541, 'llm', 0), ('huawei-noah/pretrained-language-model', 0.5744475722312927, 'nlp', 0), ('artidoro/qlora', 0.5419549345970154, 'llm', 0), ('ctlllll/llm-toolmaker', 0.5375890731811523, 'llm', 0), ('mooler0410/llmspracticalguide', 0.5229454040527344, 'study', 0), ('salesforce/xgen', 0.5224753022193909, 'llm', 0), ('bigscience-workshop/biomedical', 0.5187903642654419, 'data', 0), ('juncongmoo/pyllama', 0.5181902647018433, 'llm', 0), ('hiyouga/llama-factory', 0.5162743330001831, 'llm', 0), ('hiyouga/llama-efficient-tuning', 0.5162742733955383, 'llm', 0), ('amazon-science/dq-bart', 0.5063695311546326, 'nlp', 0), ('young-geng/easylm', 0.5040218234062195, 'llm', 0), ('lianjiatech/belle', 0.500493049621582, 'llm', 0)]

2

0

null

0.71

4

1

0

4

0

90

0

32

560

gis

https://github.com/geopandas/pyogrio

[]

null

[]

null

geopandas/pyogrio

pyogrio

209

14

10

Python

https://pyogrio.readthedocs.io

Vectorized vector I/O using OGR

geopandas

2024-01-04

2020-03-27

200

1.042023

https://avatars.githubusercontent.com/u/8130715?v=4

Vectorized vector I/O using OGR

[]

2024-01-11

[]

12

3

null

1.27

29

17

46

0

6

4

6

29

58

90

2

32

982

sim

https://github.com/espressomd/espresso

[]

null

[]

null

espressomd/espresso

espresso

206

181

22

C++

https://espressomd.org

The ESPResSo package

espressomd

2024-01-04

2011-03-25

670

0.307201

https://avatars.githubusercontent.com/u/689837?v=4

The ESPResSo package

['c-plus-plus', 'lattice-boltzmann', 'molecular-dynamics', 'physics', 'scientific-computing', 'soft-matter']

2024-01-08

[('deepmodeling/deepmd-kit', 0.5804603695869446, 'sim', 1), ('rdkit/rdkit', 0.5796418786048889, 'sim', 1)]

184

4

null

5.9

65

39

156

0

1

4

1

65

56

90

0.9

32

1,272

perf

https://github.com/qdrant/vector-db-benchmark

[]

null

[]

null

qdrant/vector-db-benchmark

vector-db-benchmark

170

42

5

Python

https://qdrant.tech/benchmarks/

Framework for benchmarking vector search engines

qdrant

2024-01-09

2022-07-12

81

2.098765

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

Framework for benchmarking vector search engines

['benchmark', 'vector-database', 'vector-search', 'vector-search-engine']

2024-01-12

[('qdrant/qdrant', 0.582831621170044, 'data', 3), ('qdrant/qdrant-client', 0.5792778134346008, 'util', 3), ('qdrant/qdrant-haystack', 0.5743999481201172, 'data', 0), ('klen/py-frameworks-bench', 0.5516537427902222, 'perf', 1), ('lancedb/lancedb', 0.5436363816261292, 'data', 1), ('facebookresearch/faiss', 0.5264250636100769, 'ml', 1), ('pola-rs/polars', 0.5243891477584839, 'pandas', 0), ('jina-ai/vectordb', 0.5212831497192383, 'data', 2), ('qdrant/fastembed', 0.519282341003418, 'ml', 1), ('weaviate/semantic-search-through-wikipedia-with-weaviate', 0.5176312923431396, 'data', 1), ('pinecone-io/pinecone-python-client', 0.512586772441864, 'data', 1), ('milvus-io/bootcamp', 0.5074758529663086, 'data', 1), ('weaviate/demo-text2vec-openai', 0.5073652267456055, 'util', 1), ('chroma-core/chroma', 0.5014863610267639, 'data', 0)]

9

5

null

2.79

34

25

18

0

1

34

32

90

0.9

32

825

pandas

https://github.com/blaze/blaze

[]

null

[]

null

blaze/blaze

blaze

3,178

393

195

Python

blaze.pydata.org

NumPy and Pandas interface to Big Data

blaze

2024-01-08

2012-10-26

587

5.408704

https://avatars.githubusercontent.com/u/12833921?v=4

NumPy and Pandas interface to Big Data

[]

2019-08-15

[('nalepae/pandarallel', 0.6345915794372559, 'pandas', 0), ('scikit-learn-contrib/sklearn-pandas', 0.626749575138092, 'pandas', 0), ('vaexio/vaex', 0.6084710359573364, 'perf', 0), ('numpy/numpy', 0.6074309349060059, 'math', 0), ('pytables/pytables', 0.5941234230995178, 'data', 0), ('mwaskom/seaborn', 0.5715226531028748, 'viz', 0), ('jmcarpenter2/swifter', 0.5631571412086487, 'pandas', 0), ('pyqtgraph/pyqtgraph', 0.5560141205787659, 'viz', 0), ('scikit-hep/uproot5', 0.5468524098396301, 'data', 0), ('jakevdp/pythondatasciencehandbook', 0.5417280793190002, 'study', 0), ('adamerose/pandasgui', 0.5380495190620422, 'pandas', 0), ('lux-org/lux', 0.5378813743591309, 'viz', 0), ('dask/dask', 0.5343106985092163, 'perf', 0), ('xl0/lovely-numpy', 0.5316489934921265, 'util', 0), ('holoviz/hvplot', 0.5221161246299744, 'pandas', 0), ('geopandas/geopandas', 0.5217344164848328, 'gis', 0), ('holoviz/spatialpandas', 0.5175127387046814, 'pandas', 0), ('ddelange/mapply', 0.513414204120636, 'pandas', 0), ('roban/cosmolopy', 0.5100215673446655, 'sim', 0), ('tkrabel/bamboolib', 0.5050551295280457, 'pandas', 0), ('contextlab/hypertools', 0.5032052397727966, 'ml', 0)]

67

6

null

0

1

137

54

0

4

1

0

90

0

31

1,441

ml

https://github.com/hrnet/hrnet-semantic-segmentation

[]

null

[]

null

hrnet/hrnet-semantic-segmentation

HRNet-Semantic-Segmentation

3,006

681

56

Python

null

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

hrnet

2024-01-11

2019-04-09

251

11.976096

https://avatars.githubusercontent.com/u/49397099?v=4

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

['cityscapes', 'high-resolution', 'high-resolution-net', 'hrnets', 'lip', 'pascal-context', 'segmentation', 'segmentation-transformer', 'semantic-segmentation', 'transformer']

2021-05-04

[('rapidai/rapidocr', 0.5680984258651733, 'data', 0), ('microsoft/swin-transformer', 0.5201693177223206, 'ml', 1), ('jaidedai/easyocr', 0.5142496824264526, 'data', 0), ('madmaze/pytesseract', 0.5132443308830261, 'data', 0)]

8

1

null

0

4

0

58

33

0

4

5

90

1.2

31

993

finance

https://github.com/quantopian/alphalens

[]

null

[]

null

quantopian/alphalens

alphalens

2,946

1,083

167

Jupyter Notebook

http://quantopian.github.io/alphalens

Performance analysis of predictive (alpha) stock factors

quantopian

2024-01-13

2016-06-03

399

7.3729

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

Performance analysis of predictive (alpha) stock factors

['algorithmic-trading', 'finance', 'jupyter', 'numpy', 'pandas']

2020-04-27

[('gbeced/pyalgotrade', 0.5202894806861877, 'finance', 0)]

25

2

null

0

5

2

93

45

0

2

5

3

90

0.6

31

112

ml

https://github.com/teamhg-memex/eli5

[]

null

[]

null

teamhg-memex/eli5

eli5

2,705

332

66

Jupyter Notebook

http://eli5.readthedocs.io

A library for debugging/inspecting machine learning classifiers and explaining their predictions

teamhg-memex

2024-01-09

2016-09-15

384

7.031192

https://avatars.githubusercontent.com/u/9270052?v=4

A library for debugging/inspecting machine learning classifiers and explaining their predictions

['crfsuite', 'data-science', 'explanation', 'inspection', 'lightgbm', 'machine-learning', 'nlp', 'scikit-learn', 'xgboost']

2020-01-22

[('tensorflow/data-validation', 0.6825962066650391, 'ml-ops', 0), ('marcotcr/lime', 0.6452601552009583, 'ml-interpretability', 0), ('seldonio/alibi', 0.6379401683807373, 'ml-interpretability', 1), ('huggingface/evaluate', 0.6364562511444092, 'ml', 1), ('carla-recourse/carla', 0.6284937262535095, 'ml', 1), ('districtdatalabs/yellowbrick', 0.6274762749671936, 'ml', 2), ('csinva/imodels', 0.6143868565559387, 'ml', 3), ('rasbt/machine-learning-book', 0.607665479183197, 'study', 2), ('oegedijk/explainerdashboard', 0.602367103099823, 'ml-interpretability', 0), ('featurelabs/featuretools', 0.5933169722557068, 'ml', 3), ('selfexplainml/piml-toolbox', 0.5864848494529724, 'ml-interpretability', 0), ('wandb/client', 0.5802046656608582, 'ml', 2), ('patchy631/machine-learning', 0.5695274472236633, 'ml', 0), ('pair-code/lit', 0.5625553727149963, 'ml-interpretability', 1), ('tensorflow/lucid', 0.5620574355125427, 'ml-interpretability', 1), ('interpretml/interpret', 0.5581210851669312, 'ml-interpretability', 2), ('pycaret/pycaret', 0.5573887825012207, 'ml', 2), ('rasbt/mlxtend', 0.553990364074707, 'ml', 2), ('polyaxon/datatile', 0.5490293502807617, 'pandas', 1), ('gradio-app/gradio', 0.5446726679801941, 'viz', 2), ('linkedin/fasttreeshap', 0.542718231678009, 'ml', 3), ('firmai/industry-machine-learning', 0.5391788482666016, 'study', 2), ('automl/auto-sklearn', 0.5375847220420837, 'ml', 1), ('microsoft/nni', 0.5334489941596985, 'ml', 2), ('eugeneyan/testing-ml', 0.5324820280075073, 'testing', 1), ('rafiqhasan/auto-tensorflow', 0.5304438471794128, 'ml-dl', 1), ('scikit-learn/scikit-learn', 0.5276551842689514, 'ml', 2), ('ml-for-high-risk-apps-book/machine-learning-for-high-risk-applications-book', 0.5232833623886108, 'study', 1), ('maif/shapash', 0.5209477543830872, 'ml', 1), ('microsoft/flaml', 0.5194395184516907, 'ml', 3), ('koaning/scikit-lego', 0.5188755989074707, 'ml', 2), ('xplainable/xplainable', 0.517871618270874, 'ml-interpretability', 2), ('whylabs/whylogs', 0.511576235294342, 'util', 2), ('reloadware/reloadium', 0.5111801624298096, 'profiling', 0), ('koaning/human-learn', 0.5102199912071228, 'data', 2), ('mckinsey/causalnex', 0.5101348161697388, 'math', 2), ('alexmojaki/snoop', 0.5058972835540771, 'debug', 0), ('catboost/catboost', 0.5058757066726685, 'ml', 2), ('scikit-learn-contrib/imbalanced-learn', 0.5050359964370728, 'ml', 2), ('shankarpandala/lazypredict', 0.5024835467338562, 'ml', 1), ('ionelmc/python-hunter', 0.5018780827522278, 'debug', 0), ('ashleve/lightning-hydra-template', 0.5004812479019165, 'util', 0)]

14

6

null

0

1

89

48

0

4

1

0

90

0

31

175

util

https://github.com/liiight/notifiers

[]

null

[]

null

liiight/notifiers

notifiers

2,564

100

30

Python

http://notifiers.readthedocs.io/

The easy way to send notifications

liiight

2024-01-13

2017-06-01

347

7.37387

null

The easy way to send notifications

['notification-service', 'notifications', 'notifier']

2022-07-14

[('caronc/apprise', 0.6810635924339294, 'util', 3)]

19

2

null

0

4

0

81

18

0

4

1

90

0.2

31

852

jupyter

https://github.com/jupyter/nbviewer

[]

null

[]

null

jupyter/nbviewer

nbviewer

2,146

551

93

Python

https://nbviewer.jupyter.org

nbconvert as a web service: Render Jupyter Notebooks as static web pages

jupyter

2024-01-13

2012-08-05

599

3.58093

https://avatars.githubusercontent.com/u/7388996?v=4

nbconvert as a web service: Render Jupyter Notebooks as static web pages

['jupyter', 'jupyter-notebook', 'nbconvert']

2023-01-27

[('voila-dashboards/voila', 0.6448253989219666, 'jupyter', 2), ('jupyter-widgets/ipywidgets', 0.5482261180877686, 'jupyter', 0), ('jupyter/notebook', 0.547979474067688, 'jupyter', 2), ('jupyterlite/jupyterlite', 0.5257112979888916, 'jupyter', 1), ('vizzuhq/ipyvizzu', 0.5107673406600952, 'jupyter', 2), ('jupyter-widgets/ipyleaflet', 0.5015178918838501, 'gis', 1), ('jupyterlab/jupyterlab-desktop', 0.5004984736442566, 'jupyter', 2)]

96

5

null

0.04

6

1

139

12

0

6

4

90

0.7

31

586

template

https://github.com/buuntu/fastapi-react

[]

null

[]

null

buuntu/fastapi-react

fastapi-react

1,945

315

41

Python

null

🚀 Cookiecutter Template for FastAPI + React Projects. Using PostgreSQL, SQLAlchemy, and Docker

buuntu

2024-01-12

2020-03-21

201

9.656028

null

🚀 Cookiecutter Template for FastAPI + React Projects. Using PostgreSQL, SQLAlchemy, and Docker

['boilerplate', 'cookiecutter', 'docker', 'fastapi', 'full-stack', 'jwt', 'nginx', 'oauth2', 'postgres', 'react', 'react-admin', 'sqlalchemy', 'typescript']

2022-02-18

[('lyz-code/cookiecutter-python-project', 0.6677143573760986, 'template', 1), ('tedivm/robs_awesome_python_template', 0.6574198603630066, 'template', 0), ('ionelmc/cookiecutter-pylibrary', 0.6523356437683105, 'template', 1), ('cookiecutter/cookiecutter', 0.6335521340370178, 'template', 1), ('s3rius/fastapi-template', 0.6214925646781921, 'web', 2), ('giswqs/pypackage', 0.6124856472015381, 'template', 1), ('crmne/cookiecutter-modern-datascience', 0.5824753046035767, 'template', 1), ('tiangolo/full-stack-fastapi-postgresql', 0.5327474474906921, 'template', 4), ('rawheel/fastapi-boilerplate', 0.531681478023529, 'web', 4), ('aeternalis-ingenium/fastapi-backend-template', 0.5084453225135803, 'web', 4)]

13

5

null

0

46

23

0

1

0

90

0

31

987

nlp

https://github.com/thudm/p-tuning-v2

[]

null

[]

null

thudm/p-tuning-v2

P-tuning-v2

1,790

173

30

Python

null

An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks

thudm

2024-01-13

2021-10-14

119

14.952267

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

An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks

['natural-language-processing', 'p-tuning', 'parameter-efficient-learning', 'pretrained-language-model', 'prompt-tuning']

2023-10-20

[('keirp/automatic_prompt_engineer', 0.6158888339996338, 'llm', 0), ('promptslab/awesome-prompt-engineering', 0.5705534815788269, 'study', 1), ('kyegomez/tree-of-thoughts', 0.5489909052848816, 'llm', 1), ('srush/minichain', 0.5268715620040894, 'llm', 0), ('microsoft/unilm', 0.5134304761886597, 'nlp', 0), ('ofa-sys/ofa', 0.5087725520133972, 'llm', 1)]

3

1

null

0.04

7

0

27

3

0

7

1

90

0.1

31

608

testing

https://github.com/teemu/pytest-sugar

[]

null

[]

null

teemu/pytest-sugar

pytest-sugar

1,189

70

18

Python

null

a plugin for py.test that changes the default look and feel of py.test (e.g. progressbar, show tests that fail instantly)

teemu

2024-01-13

2013-06-25

553

2.15009

null

a plugin for py.test that changes the default look and feel of py.test (e.g. progressbar, show tests that fail instantly)

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

2023-08-08

[('pytest-dev/pytest-xdist', 0.6500891447067261, 'testing', 2), ('computationalmodelling/nbval', 0.6413612365722656, 'jupyter', 3), ('ionelmc/pytest-benchmark', 0.6360356211662292, 'testing', 1), ('samuelcolvin/pytest-pretty', 0.5765059590339661, 'testing', 1), ('pytest-dev/pytest-cov', 0.5729233622550964, 'testing', 1), ('pytest-dev/pytest-asyncio', 0.5544842481613159, 'testing', 2), ('pytest-dev/pytest', 0.5432929992675781, 'testing', 1), ('pytest-dev/pytest-mock', 0.5402851700782776, 'testing', 1), ('samuelcolvin/dirty-equals', 0.5335487723350525, 'util', 1), ('kiwicom/pytest-recording', 0.5215980410575867, 'testing', 2), ('pytest-dev/pytest-bdd', 0.5115352869033813, 'testing', 0), ('rockhopper-technologies/enlighten', 0.5103371739387512, 'term', 0), ('taverntesting/tavern', 0.5043500661849976, 'testing', 2)]

50

7

null

0.27

1

0

128

5

1

90

1

31

883

ml-dl

https://github.com/xl0/lovely-tensors

[]

null

[]

null

xl0/lovely-tensors

lovely-tensors

1,017

14

11

Jupyter Notebook

https://xl0.github.io/lovely-tensors

Tensors, ready for human consumption

xl0

2024-01-13

2022-10-07

68

14.83125

null

Tensors, ready for human consumption

['deep-learning', 'pytorch', 'statistics', 'visualization']

2023-04-27

[('xl0/lovely-numpy', 0.7344928979873657, 'util', 3), ('ggerganov/ggml', 0.6742641925811768, 'ml', 0), ('pytorch/ignite', 0.6465728282928467, 'ml-dl', 2), ('keras-team/keras', 0.6338521242141724, 'ml-dl', 2), ('arogozhnikov/einops', 0.6286166310310364, 'ml-dl', 2), ('tensorly/tensorly', 0.61644446849823, 'ml-dl', 1), ('mrdbourke/pytorch-deep-learning', 0.613914966583252, 'study', 2), ('pytorch/pytorch', 0.6134235858917236, 'ml-dl', 1), ('skorch-dev/skorch', 0.612391471862793, 'ml-dl', 1), ('intel/intel-extension-for-pytorch', 0.610737144947052, 'perf', 2), ('google/tf-quant-finance', 0.5893839597702026, 'finance', 0), ('huggingface/datasets', 0.5892137289047241, 'nlp', 2), ('ageron/handson-ml2', 0.583730936050415, 'ml', 0), ('cvxgrp/pymde', 0.5830146074295044, 'ml', 2), ('facebookresearch/pytorch3d', 0.5774106383323669, 'ml-dl', 0), ('tensorflow/tensorflow', 0.5675086975097656, 'ml-dl', 1), ('pyg-team/pytorch_geometric', 0.5648797154426575, 'ml-dl', 2), ('nyandwi/modernconvnets', 0.5606785416603088, 'ml-dl', 0), ('d2l-ai/d2l-en', 0.5590056777000427, 'study', 2), ('blackhc/toma', 0.5582937002182007, 'ml-dl', 1), ('huggingface/accelerate', 0.557181715965271, 'ml', 0), ('tensorflow/mesh', 0.5570968389511108, 'ml-dl', 0), ('tlkh/tf-metal-experiments', 0.5548020005226135, 'perf', 1), ('keras-rl/keras-rl', 0.5526697635650635, 'ml-rl', 0), ('pytorch/captum', 0.5507166385650635, 'ml-interpretability', 0), ('rasbt/deeplearning-models', 0.5497564673423767, 'ml-dl', 0), ('lutzroeder/netron', 0.549081027507782, 'ml', 2), ('tensorlayer/tensorlayer', 0.5486395359039307, 'ml-rl', 1), ('lightly-ai/lightly', 0.5458189845085144, 'ml', 2), ('huggingface/transformers', 0.5455830097198486, 'nlp', 2), ('tensorflow/addons', 0.5444281697273254, 'ml', 1), ('activeloopai/deeplake', 0.5410858392715454, 'ml-ops', 2), ('ashleve/lightning-hydra-template', 0.539811372756958, 'util', 2), ('rasbt/stat453-deep-learning-ss20', 0.5372262597084045, 'study', 0), ('rafiqhasan/auto-tensorflow', 0.5368985533714294, 'ml-dl', 0), ('karpathy/micrograd', 0.5362251400947571, 'study', 0), ('ddbourgin/numpy-ml', 0.5339087843894958, 'ml', 0), ('mosaicml/composer', 0.5325333476066589, 'ml-dl', 2), ('rasbt/machine-learning-book', 0.5321751236915588, 'study', 2), ('nvidia/deeplearningexamples', 0.5299148559570312, 'ml-dl', 2), ('geomstats/geomstats', 0.5296072959899902, 'math', 2), ('explosion/thinc', 0.5290781855583191, 'ml-dl', 2), ('nvidia/apex', 0.5290429592132568, 'ml-dl', 0), ('denys88/rl_games', 0.5228703618049622, 'ml-rl', 2), ('huggingface/exporters', 0.5227699875831604, 'ml', 2), ('nvidia/tensorrt-llm', 0.5217703580856323, 'viz', 0), ('horovod/horovod', 0.5179717540740967, 'ml-ops', 2), ('pytorch/torchrec', 0.5139912366867065, 'ml-dl', 2), ('pytorch/rl', 0.5124273896217346, 'ml-rl', 1), ('tensorflow/similarity', 0.5119929313659668, 'ml-dl', 1), ('microsoft/onnxruntime', 0.5118368864059448, 'ml', 2), ('pytorch/data', 0.5113422274589539, 'data', 0), ('tensorflow/tensor2tensor', 0.5108433961868286, 'ml', 1), ('roboflow/supervision', 0.5090969800949097, 'ml', 2), ('huggingface/huggingface_hub', 0.5074052214622498, 'ml', 2), ('koaning/embetter', 0.5069031119346619, 'data', 0), ('danielegrattarola/spektral', 0.5056509375572205, 'ml-dl', 1), ('nicolas-chaulet/torch-points3d', 0.5040701031684875, 'ml', 0), ('tensorflow/lucid', 0.5038846731185913, 'ml-interpretability', 1), ('lucidrains/imagen-pytorch', 0.5031198263168335, 'ml-dl', 1), ('allenai/allennlp', 0.5030158162117004, 'nlp', 2), ('patrick-kidger/torchtyping', 0.5010529160499573, 'typing', 1), ('gradio-app/gradio', 0.5005459785461426, 'viz', 1)]

1

null

0.1

0

15

9

0

14

0

90

0

31

340

term

https://github.com/jquast/blessed

[]

null

[]

null

jquast/blessed

blessed

999

69

26

Python

http://pypi.python.org/pypi/blessed

Blessed is an easy, practical library for making python terminal apps

jquast

2024-01-11

2014-03-01

517

1.930701

null

Blessed is an easy, practical library for making python terminal apps

['cli', 'curses', 'terminal']

2023-12-17

[('urwid/urwid', 0.7145931720733643, 'term', 0), ('pygamelib/pygamelib', 0.6294499635696411, 'gamedev', 0), ('willmcgugan/rich', 0.6152134537696838, 'term', 1), ('tmbo/questionary', 0.6140781044960022, 'term', 1), ('hoffstadt/dearpygui', 0.6031554937362671, 'gui', 0), ('pypy/pypy', 0.6016967296600342, 'util', 0), ('google/python-fire', 0.5881098508834839, 'term', 1), ('tiangolo/typer', 0.5800941586494446, 'term', 2), ('willmcgugan/textual', 0.5734678506851196, 'term', 2), ('xonsh/xonsh', 0.569438099861145, 'util', 2), ('tartley/colorama', 0.5634984970092773, 'util', 1), ('pexpect/pexpect', 0.5613400340080261, 'util', 0), ('pallets/click', 0.5604668855667114, 'term', 2), ('beeware/toga', 0.5573833584785461, 'gui', 0), ('r0x0r/pywebview', 0.5557140707969666, 'gui', 0), ('pytoolz/toolz', 0.5486643314361572, 'util', 0), ('textualize/trogon', 0.5472238063812256, 'term', 2), ('pyglet/pyglet', 0.5451313853263855, 'gamedev', 0), ('federicoceratto/dashing', 0.5442036986351013, 'term', 1), ('pypa/virtualenv', 0.5412343144416809, 'util', 0), ('rockhopper-technologies/enlighten', 0.5384596586227417, 'term', 0), ('samuelcolvin/python-devtools', 0.5346581935882568, 'debug', 0), ('python/cpython', 0.5344061255455017, 'util', 0), ('pyscript/pyscript-cli', 0.5302552580833435, 'web', 0), ('parthjadhav/tkinter-designer', 0.5266092419624329, 'gui', 0), ('erotemic/ubelt', 0.5253154635429382, 'util', 0), ('hugovk/pypistats', 0.5230196118354797, 'util', 1), ('carpedm20/emoji', 0.5172060132026672, 'util', 0), ('kellyjonbrazil/jc', 0.5097572207450867, 'util', 1), ('webpy/webpy', 0.5048279166221619, 'web', 0), ('pygame/pygame', 0.504092812538147, 'gamedev', 0), ('inducer/pudb', 0.5037537217140198, 'debug', 0), ('pypa/hatch', 0.5016807913780212, 'util', 1), ('pypa/installer', 0.5001348853111267, 'util', 0)]

26

3

null

0.42

9

6

120

1

5

1

9

10

90

1.1

31

1,667

util

https://github.com/requests/toolbelt

[]

null

[]

null

requests/toolbelt

toolbelt

966

184

21

Python

https://toolbelt.readthedocs.org

A toolbelt of useful classes and functions to be used with python-requests

requests

2024-01-12

2013-12-29

526

1.835505

https://avatars.githubusercontent.com/u/2805331?v=4

A toolbelt of useful classes and functions to be used with python-requests

['http', 'python-requests', 'toolbox']

2023-10-12

[('psf/requests', 0.7315183281898499, 'web', 2), ('getsentry/responses', 0.7001904249191284, 'testing', 0), ('encode/httpx', 0.6686779856681824, 'web', 1), ('falconry/falcon', 0.6299983263015747, 'web', 1), ('simple-salesforce/simple-salesforce', 0.610306441783905, 'data', 0), ('eleutherai/pyfra', 0.6041449308395386, 'ml', 0), ('roniemartinez/dude', 0.6033374071121216, 'util', 0), ('scrapy/scrapy', 0.5953943133354187, 'data', 0), ('cherrypy/cherrypy', 0.5835244059562683, 'web', 1), ('alirezamika/autoscraper', 0.5791863799095154, 'data', 0), ('encode/uvicorn', 0.5721771717071533, 'web', 1), ('masoniteframework/masonite', 0.5709607005119324, 'web', 0), ('hugapi/hug', 0.5709561705589294, 'util', 1), ('pytoolz/toolz', 0.5654045939445496, 'util', 0), ('pallets/werkzeug', 0.5638414025306702, 'web', 1), ('webpy/webpy', 0.563819169998169, 'web', 0), ('clips/pattern', 0.5543271899223328, 'nlp', 0), ('landscapeio/prospector', 0.5488244891166687, 'util', 0), ('taverntesting/tavern', 0.545853853225708, 'testing', 1), ('pylons/webob', 0.5443535447120667, 'web', 0), ('bottlepy/bottle', 0.5425326228141785, 'web', 0), ('secdev/scapy', 0.5415241122245789, 'util', 0), ('ethereum/web3.py', 0.5374890565872192, 'crypto', 0), ('googleapis/google-api-python-client', 0.5348877906799316, 'util', 0), ('locustio/locust', 0.5336475968360901, 'testing', 1), ('neoteroi/blacksheep', 0.5285502672195435, 'web', 1), ('pympler/pympler', 0.5279673337936401, 'perf', 0), ('pallets/flask', 0.5181925296783447, 'web', 0), ('nedbat/coveragepy', 0.5164726376533508, 'testing', 0), ('amaargiru/pyroad', 0.5161598324775696, 'study', 0), ('agronholm/apscheduler', 0.5136269330978394, 'util', 0), ('wolever/parameterized', 0.5131222009658813, 'testing', 0), ('nv7-github/googlesearch', 0.5127140879631042, 'util', 0), ('pyston/pyston', 0.5103037357330322, 'util', 0), ('aio-libs/aiohttp', 0.5097265839576721, 'web', 1), ('pallets/quart', 0.5077387094497681, 'web', 0), ('lukasschwab/arxiv.py', 0.5077224969863892, 'util', 0), ('pylons/waitress', 0.5072819590568542, 'web', 0), ('mitmproxy/pdoc', 0.5041638016700745, 'util', 0), ('hoffstadt/dearpygui', 0.5012592077255249, 'gui', 0), ('pylons/pyramid', 0.5011575222015381, 'web', 0)]

69

6

null

0.15

6

2

122

3

0

2

6

3

90

0.5

31

1,406

llm

https://github.com/ctlllll/llm-toolmaker

['language-model']

Large Language Models as Tool Makers

[]

null

ctlllll/llm-toolmaker

LLM-ToolMaker

961

94

16

Jupyter Notebook

null

ctlllll

2024-01-12

2023-05-25

35

26.908

null

Large Language Models as Tool Makers

[]

['language-model']

2023-05-29

[('conceptofmind/toolformer', 0.7394540309906006, 'llm', 1), ('hannibal046/awesome-llm', 0.708982527256012, 'study', 1), ('keirp/automatic_prompt_engineer', 0.699556291103363, 'llm', 1), ('ai21labs/lm-evaluation', 0.6955636143684387, 'llm', 1), ('lianjiatech/belle', 0.6910099983215332, 'llm', 0), ('guidance-ai/guidance', 0.6901283860206604, 'llm', 1), ('freedomintelligence/llmzoo', 0.6779150366783142, 'llm', 1), ('juncongmoo/pyllama', 0.6501331925392151, 'llm', 0), ('cg123/mergekit', 0.6498943567276001, 'llm', 0), ('lm-sys/fastchat', 0.6395042538642883, 'llm', 1), ('lucidrains/toolformer-pytorch', 0.6329768300056458, 'llm', 1), ('openbmb/toolbench', 0.6306527853012085, 'llm', 0), ('prefecthq/langchain-prefect', 0.6256077885627747, 'llm', 0), ('neulab/prompt2model', 0.623613178730011, 'llm', 1), ('young-geng/easylm', 0.6142538785934448, 'llm', 1), ('next-gpt/next-gpt', 0.5953162908554077, 'llm', 0), ('oobabooga/text-generation-webui', 0.5950998663902283, 'llm', 1), ('bigscience-workshop/biomedical', 0.5948196053504944, 'data', 0), ('jonasgeiping/cramming', 0.593092143535614, 'nlp', 1), ('microsoft/autogen', 0.5929686427116394, 'llm', 0), ('baichuan-inc/baichuan-13b', 0.5928089022636414, 'llm', 0), ('infinitylogesh/mutate', 0.5922251343727112, 'nlp', 1), ('guardrails-ai/guardrails', 0.5916648507118225, 'llm', 0), ('yizhongw/self-instruct', 0.5800374150276184, 'llm', 1), ('salesforce/xgen', 0.5751272439956665, 'llm', 1), ('togethercomputer/redpajama-data', 0.5702430605888367, 'llm', 0), ('thudm/codegeex', 0.5676085948944092, 'llm', 0), ('reasoning-machines/pal', 0.5670881867408752, 'llm', 1), ('databrickslabs/dolly', 0.5645289421081543, 'llm', 0), ('optimalscale/lmflow', 0.5597103238105774, 'llm', 1), ('lupantech/chameleon-llm', 0.5588576197624207, 'llm', 1), ('hazyresearch/h3', 0.5581068992614746, 'llm', 0), ('huggingface/text-generation-inference', 0.5557337403297424, 'llm', 0), ('hwchase17/langchain', 0.5530260801315308, 'llm', 1), ('eleutherai/lm-evaluation-harness', 0.5522134304046631, 'llm', 1), ('night-chen/toolqa', 0.5460361242294312, 'llm', 0), ('1rgs/jsonformer', 0.5433797240257263, 'llm', 0), ('predibase/llm_distillation_playbook', 0.5375890731811523, 'llm', 0), ('srush/minichain', 0.5372619032859802, 'llm', 0), ('openlmlab/moss', 0.5362043976783752, 'llm', 1), ('thudm/chatglm-6b', 0.536123514175415, 'llm', 1), ('tatsu-lab/stanford_alpaca', 0.5329034924507141, 'llm', 1), ('sjtu-ipads/powerinfer', 0.5325697660446167, 'llm', 0), ('thudm/chatglm2-6b', 0.5311850309371948, 'llm', 0), ('huawei-noah/pretrained-language-model', 0.5290946364402771, 'nlp', 0), ('eleutherai/the-pile', 0.5270031690597534, 'data', 0), ('aiwaves-cn/agents', 0.5234825611114502, 'nlp', 1), ('openlmlab/leval', 0.5215489864349365, 'llm', 1), ('llmware-ai/llmware', 0.5208345055580139, 'llm', 0), ('explosion/spacy-llm', 0.520075261592865, 'llm', 0), ('mlc-ai/web-llm', 0.5185114145278931, 'llm', 1), ('facebookresearch/shepherd', 0.5185016393661499, 'llm', 1), ('jalammar/ecco', 0.5147423148155212, 'ml-interpretability', 0), ('minedojo/voyager', 0.5137326121330261, 'llm', 0), ('eugeneyan/obsidian-copilot', 0.5133623480796814, 'llm', 0), ('nat/openplayground', 0.5115349292755127, 'llm', 1), ('paperswithcode/galai', 0.5114402174949646, 'llm', 1), ('spcl/graph-of-thoughts', 0.5085147023200989, 'llm', 0), ('dylanhogg/llmgraph', 0.5081648826599121, 'ml', 0), ('hazyresearch/ama_prompting', 0.5080617666244507, 'llm', 0), ('bigscience-workshop/megatron-deepspeed', 0.5077611804008484, 'llm', 0), ('microsoft/megatron-deepspeed', 0.5077611804008484, 'llm', 0), ('hiyouga/llama-factory', 0.5054224133491516, 'llm', 1), ('hiyouga/llama-efficient-tuning', 0.5054222941398621, 'llm', 1), ('langchain-ai/langgraph', 0.501153290271759, 'llm', 0), ('epfllm/meditron', 0.5010691285133362, 'llm', 1), ('lvwerra/trl', 0.5007656812667847, 'llm', 0)]

1

null

0.06

2

0

8

0

2

0

90

0

31

488

viz

https://github.com/luispedro/mahotas

[]

null

[]

null

luispedro/mahotas

mahotas

816

155

50

Python

https://mahotas.rtfd.io

Computer Vision in Python

luispedro

2024-01-12

2010-01-31

730

1.117371

null

Computer Vision in Python

['c-plus-plus', 'computer-vision', 'numpy']

2024-01-08

[('scikit-image/scikit-image', 0.6524010300636292, 'util', 1), ('xl0/lovely-numpy', 0.5749441981315613, 'util', 1), ('google/jax', 0.5661518573760986, 'ml', 1), ('mdbloice/augmentor', 0.5612508654594421, 'ml', 0), ('numpy/numpy', 0.5569568872451782, 'math', 1), ('roboflow/supervision', 0.5504482388496399, 'ml', 1), ('python-pillow/pillow', 0.5384292602539062, 'util', 0), ('open-mmlab/mmcv', 0.5330637693405151, 'ml', 1), ('lightly-ai/lightly', 0.5195291638374329, 'ml', 1), ('dfki-ric/pytransform3d', 0.5193596482276917, 'math', 0), ('cupy/cupy', 0.5168439745903015, 'math', 1)]

34

5

null

0.15

1

0

170

0

4

1

90

1

31

18

nlp

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

[]

null

[]

null

explosion/spacy-streamlit

spacy-streamlit

734

113

20

Python

https://share.streamlit.io/ines/spacy-streamlit-demo/master/app.py

👑 spaCy building blocks and visualizers for Streamlit apps

explosion

2024-01-10

2020-06-23

188

3.904255

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

👑 spaCy building blocks and visualizers for Streamlit apps

['dependency-parsing', 'machine-learning', 'named-entity-recognition', 'natural-language-processing', 'ner', 'nlp', 'part-of-speech-tagging', 'spacy', 'streamlit', 'text-classification', 'tokenization', 'visualizer', 'visualizers', 'word-vectors']

2023-08-02

[('streamlit/streamlit', 0.6851550340652466, 'viz', 2), ('explosion/spacy-models', 0.6529020071029663, 'nlp', 4), ('alphasecio/langchain-examples', 0.6193504929542542, 'llm', 1), ('explosion/spacy-transformers', 0.5857328772544861, 'llm', 4), ('sloria/textblob', 0.5445199012756348, 'nlp', 2), ('explosion/spacy-stanza', 0.5425686240196228, 'nlp', 4), ('huggingface/neuralcoref', 0.5396462082862854, 'nlp', 3), ('jbesomi/texthero', 0.5377371907234192, 'nlp', 2), ('nltk/nltk', 0.5315085053443909, 'nlp', 3), ('neuralmagic/sparseml', 0.5314697623252869, 'ml-dl', 1), ('gradio-app/gradio', 0.5299880504608154, 'viz', 1), ('flairnlp/flair', 0.5156773328781128, 'nlp', 4), ('lucidrains/toolformer-pytorch', 0.5099772214889526, 'llm', 0), ('openai/tiktoken', 0.5080421566963196, 'nlp', 0), ('run-llama/rags', 0.5017317533493042, 'llm', 1)]

14

5

null

0.1

1

0

43

6

2

4

2

1

90

1

31

1,408

llm

https://github.com/salesforce/xgen

[]

null

[]

null

salesforce/xgen

xgen

695

35

12

Python

null

Salesforce open-source LLMs with 8k sequence length.

salesforce

2024-01-12

2023-06-23

31

22.013575

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

Salesforce open-source LLMs with 8k sequence length.

['language-model', 'large-language-models', 'llm', 'nlp']

2023-10-16

[('eugeneyan/open-llms', 0.6812090873718262, 'study', 2), ('young-geng/easylm', 0.6715541481971741, 'llm', 2), ('mooler0410/llmspracticalguide', 0.6607375741004944, 'study', 2), ('eleutherai/the-pile', 0.6535871624946594, 'data', 1), ('explosion/spacy-llm', 0.6350138187408447, 'llm', 3), ('cg123/mergekit', 0.6309936046600342, 'llm', 1), ('infinitylogesh/mutate', 0.621751070022583, 'nlp', 1), ('lianjiatech/belle', 0.6193069219589233, 'llm', 0), ('bigscience-workshop/petals', 0.6189985871315002, 'data', 2), ('thudm/chatglm2-6b', 0.6184314489364624, 'llm', 2), ('salesforce/codet5', 0.6172817945480347, 'nlp', 2), ('juncongmoo/pyllama', 0.6149995923042297, 'llm', 0), ('ray-project/ray-llm', 0.6136285662651062, 'llm', 2), ('artidoro/qlora', 0.6102448105812073, 'llm', 1), ('bobazooba/xllm', 0.607836902141571, 'llm', 2), ('hannibal046/awesome-llm', 0.6004391312599182, 'study', 1), ('alpha-vllm/llama2-accessory', 0.5997952222824097, 'llm', 0), ('tigerlab-ai/tiger', 0.5921275615692139, 'llm', 2), ('nomic-ai/gpt4all', 0.590821385383606, 'llm', 1), ('vllm-project/vllm', 0.58912593126297, 'llm', 1), ('hiyouga/llama-factory', 0.5888428688049316, 'llm', 3), ('hiyouga/llama-efficient-tuning', 0.5888428092002869, 'llm', 3), ('sjtu-ipads/powerinfer', 0.5852330327033997, 'llm', 2), ('microsoft/torchscale', 0.5822688937187195, 'llm', 0), ('intel/intel-extension-for-transformers', 0.5792416334152222, 'perf', 0), ('jzhang38/tinyllama', 0.57785564661026, 'llm', 1), ('ai21labs/lm-evaluation', 0.5776482224464417, 'llm', 1), ('paddlepaddle/paddlenlp', 0.5755364894866943, 'llm', 2), ('ctlllll/llm-toolmaker', 0.5751272439956665, 'llm', 1), ('li-plus/chatglm.cpp', 0.5746297240257263, 'llm', 2), ('dylanhogg/llmgraph', 0.5694348812103271, 'ml', 1), ('night-chen/toolqa', 0.5676834583282471, 'llm', 1), ('next-gpt/next-gpt', 0.5664035081863403, 'llm', 2), ('agenta-ai/agenta', 0.5658103227615356, 'llm', 2), ('freedomintelligence/llmzoo', 0.5646532773971558, 'llm', 1), ('bytedance/lightseq', 0.5642438530921936, 'nlp', 0), ('microsoft/autogen', 0.5639118552207947, 'llm', 0), ('hwchase17/langchain', 0.5602133274078369, 'llm', 1), ('nat/openplayground', 0.5570892095565796, 'llm', 1), ('epfllm/meditron', 0.5559400320053101, 'llm', 1), ('huggingface/text-generation-inference', 0.5519874691963196, 'llm', 1), ('alphasecio/langchain-examples', 0.5513124465942383, 'llm', 1), ('mlc-ai/web-llm', 0.5496227741241455, 'llm', 2), ('bentoml/openllm', 0.5479778051376343, 'ml-ops', 1), ('llmware-ai/llmware', 0.5470395684242249, 'llm', 2), ('lm-sys/fastchat', 0.546430230140686, 'llm', 1), ('argilla-io/argilla', 0.544439971446991, 'nlp', 2), ('hegelai/prompttools', 0.5444273352622986, 'llm', 1), ('run-llama/llama-hub', 0.542940616607666, 'data', 1), ('confident-ai/deepeval', 0.5417569875717163, 'testing', 2), ('nebuly-ai/nebullvm', 0.5392612814903259, 'perf', 2), ('togethercomputer/redpajama-data', 0.5379053950309753, 'llm', 0), ('prefecthq/langchain-prefect', 0.5343795418739319, 'llm', 1), ('aiwaves-cn/agents', 0.5333874225616455, 'nlp', 2), ('lightning-ai/lit-llama', 0.5283926129341125, 'llm', 1), ('opengvlab/omniquant', 0.5267922878265381, 'llm', 2), ('squeezeailab/squeezellm', 0.5263859629631042, 'llm', 2), ('deepset-ai/haystack', 0.525870144367218, 'llm', 3), ('tatsu-lab/stanford_alpaca', 0.52476966381073, 'llm', 1), ('ibm/dromedary', 0.5233420729637146, 'llm', 1), ('predibase/llm_distillation_playbook', 0.5224753022193909, 'llm', 0), ('citadel-ai/langcheck', 0.5217398405075073, 'llm', 1), ('zilliztech/gptcache', 0.5199717283248901, 'llm', 1), ('predibase/lorax', 0.5184742212295532, 'llm', 1), ('conceptofmind/toolformer', 0.5180943608283997, 'llm', 1), ('shishirpatil/gorilla', 0.5161482691764832, 'llm', 1), ('pathwaycom/llm-app', 0.5143515467643738, 'llm', 1), ('neuml/txtai', 0.5134238600730896, 'nlp', 4), ('baichuan-inc/baichuan-13b', 0.5127484798431396, 'llm', 1), ('microsoft/llama-2-onnx', 0.5118889212608337, 'llm', 1), ('cstankonrad/long_llama', 0.5117976665496826, 'llm', 1), ('microsoft/jarvis', 0.5117494463920593, 'llm', 0), ('princeton-nlp/alce', 0.5106900930404663, 'llm', 0), ('oobabooga/text-generation-webui', 0.5097959041595459, 'llm', 1), ('bigscience-workshop/biomedical', 0.5077841877937317, 'data', 0), ('ludwig-ai/ludwig', 0.5066179037094116, 'ml-ops', 1), ('iryna-kondr/scikit-llm', 0.5054061412811279, 'llm', 1), ('titanml/takeoff', 0.5039275884628296, 'llm', 2), ('thudm/codegeex', 0.5032574534416199, 'llm', 0), ('openlmlab/leval', 0.5019434690475464, 'llm', 1), ('langchain-ai/langgraph', 0.5001147389411926, 'llm', 0)]

2

0

null

0.67

2

1

7

3

0

2

1

90

0.5

31

875

time-series

https://github.com/autoviml/auto_ts

[]

null

[]

null

autoviml/auto_ts

Auto_TS

655

106

17

Jupyter Notebook

null

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.

autoviml

2024-01-13

2020-02-15

206

3.17301

null

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.

['arima', 'auto-arima', 'auto-sklearn', 'auto-timeseries', 'autokeras', 'automl', 'autosklearn', 'prophet', 'sklearn', 'time-series', 'time-series-analysis', 'tpot']

2023-12-03

[('dask/dask-ml', 0.5662448406219482, 'ml', 0), ('nixtla/statsforecast', 0.5572653412818909, 'time-series', 4), ('winedarksea/autots', 0.5450201034545898, 'time-series', 2), ('microsoft/flaml', 0.5320088863372803, 'ml', 1), ('alkaline-ml/pmdarima', 0.5241935849189758, 'time-series', 2), ('dask/distributed', 0.5237195491790771, 'perf', 0), ('pytroll/satpy', 0.5144683718681335, 'gis', 0), ('prefecthq/prefect-dask', 0.5042782425880432, 'util', 0), ('hi-primus/optimus', 0.5023893713951111, 'ml-ops', 0)]

11

3

null

0.31

5

48

1

0

1

5

6

90

1.2

31

1,151

util

https://github.com/erdewit/nest_asyncio

[]

null

[]

null

erdewit/nest_asyncio

nest_asyncio

599

54

17

Python

null

Patch asyncio to allow nested event loops

erdewit

2024-01-13

2018-09-07

281

2.127347

null

Patch asyncio to allow nested event loops

['asyncio', 'event-loop', 'nested', 'recursive']

2023-11-27

[('magicstack/uvloop', 0.6544142365455627, 'util', 2), ('alex-sherman/unsync', 0.597553551197052, 'util', 0), ('pytest-dev/pytest-asyncio', 0.5122057199478149, 'testing', 1)]

12

4

null

0.19

3

65

2

1

2

1

3

7

90

2.3

31

667

perf

https://github.com/brandtbucher/specialist

['cpython']

null

[]

null

brandtbucher/specialist

specialist

596

10

9

Python

null

Visualize CPython 3.11's specializing, adaptive interpreter. :fire:

brandtbucher

2024-01-14

2022-06-01

86

6.861842

null

Visualize CPython 3.11's specializing, adaptive interpreter. 🔥

[]

['cpython']

2023-08-06

[('python/cpython', 0.7123744487762451, 'util', 1), ('faster-cpython/ideas', 0.6769110560417175, 'perf', 1), ('faster-cpython/tools', 0.6422561407089233, 'perf', 1), ('p403n1x87/austin', 0.5802419185638428, 'profiling', 0), ('markshannon/faster-cpython', 0.5744246244430542, 'perf', 0), ('ipython/ipyparallel', 0.5722348093986511, 'perf', 0), ('pyston/pyston', 0.5647898316383362, 'util', 0), ('alexmojaki/heartrate', 0.56365966796875, 'debug', 0), ('facebookincubator/cinder', 0.5538285374641418, 'perf', 1), ('altair-viz/altair', 0.5505017042160034, 'viz', 0), ('pypy/pypy', 0.5478411912918091, 'util', 1), ('vizzuhq/ipyvizzu', 0.5436729192733765, 'jupyter', 0), ('jalammar/ecco', 0.5420230031013489, 'ml-interpretability', 0), ('cohere-ai/notebooks', 0.5358579158782959, 'llm', 0), ('bokeh/bokeh', 0.5352582931518555, 'viz', 0), ('rustpython/rustpython', 0.5334833860397339, 'util', 0), ('has2k1/plotnine', 0.5308057069778442, 'viz', 0), ('maartenbreddels/ipyvolume', 0.5239526033401489, 'jupyter', 0), ('holoviz/holoviz', 0.5191949605941772, 'viz', 0), ('adafruit/circuitpython', 0.5155614018440247, 'util', 1), ('plotly/plotly.py', 0.5150900483131409, 'viz', 0), ('gotcha/ipdb', 0.5149388313293457, 'debug', 0), ('urwid/urwid', 0.5062293410301208, 'term', 0), ('pygments/pygments', 0.5001950263977051, 'util', 0)]

3

2

null

0.29

1

20

5

3

8

3

1

90

1

31

477

gis

https://github.com/holoviz/geoviews

[]

null

[]

null

holoviz/geoviews

geoviews

546

73

25

Python

http://geoviews.org

Simple, concise geographical visualization in Python

holoviz

2024-01-11

2016-04-19

406

1.344828

https://avatars.githubusercontent.com/u/51678735?v=4

Simple, concise geographical visualization in Python

['cartopy', 'geographic-visualizations', 'geoviews', 'holoviews', 'holoviz', 'plotting']

2023-12-22

[('holoviz/holoviz', 0.7218708992004395, 'viz', 3), ('scitools/cartopy', 0.7182220220565796, 'gis', 1), ('residentmario/geoplot', 0.6962321400642395, 'gis', 0), ('raphaelquast/eomaps', 0.6664366126060486, 'gis', 2), ('artelys/geonetworkx', 0.663130521774292, 'gis', 0), ('holoviz/holoviews', 0.6530880331993103, 'viz', 3), ('altair-viz/altair', 0.6453191041946411, 'viz', 0), ('pyproj4/pyproj', 0.6277405023574829, 'gis', 0), ('matplotlib/matplotlib', 0.6272979974746704, 'viz', 1), ('gregorhd/mapcompare', 0.624692440032959, 'gis', 0), ('opengeos/leafmap', 0.6069517135620117, 'gis', 0), ('has2k1/plotnine', 0.6033970713615417, 'viz', 1), ('holoviz/hvplot', 0.6014821529388428, 'pandas', 3), ('bokeh/bokeh', 0.5875713229179382, 'viz', 1), ('mwaskom/seaborn', 0.5874853134155273, 'viz', 0), ('enthought/mayavi', 0.5856287479400635, 'viz', 0), ('dfki-ric/pytransform3d', 0.5822384357452393, 'math', 0), ('giswqs/geemap', 0.5793654918670654, 'gis', 0), ('geopandas/geopandas', 0.5721185803413391, 'gis', 0), ('vispy/vispy', 0.571336567401886, 'viz', 0), ('scitools/iris', 0.5698901414871216, 'gis', 0), ('plotly/plotly.py', 0.5691211223602295, 'viz', 0), ('marceloprates/prettymaps', 0.5674756765365601, 'viz', 0), ('contextlab/hypertools', 0.5654189586639404, 'ml', 0), ('kanaries/pygwalker', 0.5505314469337463, 'pandas', 0), ('cuemacro/chartpy', 0.5426660180091858, 'viz', 1), ('maartenbreddels/ipyvolume', 0.5372338891029358, 'jupyter', 1), ('pysal/pysal', 0.535015881061554, 'gis', 0), ('geopandas/contextily', 0.5272794961929321, 'gis', 0), ('alexmojaki/heartrate', 0.5235070586204529, 'debug', 0), ('man-group/dtale', 0.5216120481491089, 'viz', 0), ('holoviz/panel', 0.521112859249115, 'viz', 2), ('earthlab/earthpy', 0.5206630229949951, 'gis', 0), ('vizzuhq/ipyvizzu', 0.5115540623664856, 'jupyter', 1), ('pyglet/pyglet', 0.5069261789321899, 'gamedev', 0), ('federicoceratto/dashing', 0.5021084547042847, 'term', 0)]

30

3

null

1.31

35

29

94

1

4

11

4

35

13

90

0.4

31

906

ml

https://github.com/cvxgrp/pymde

[]

null

[]

null

cvxgrp/pymde

pymde

501

27

9

Python

https://pymde.org

Minimum-distortion embedding with PyTorch

cvxgrp

2024-01-09

2020-11-29

165

3.031115

https://avatars.githubusercontent.com/u/2957335?v=4

Minimum-distortion embedding with PyTorch

['cuda', 'dimensionality-reduction', 'embedding', 'feature-vectors', 'gpu', 'graph-embedding', 'machine-learning', 'pytorch', 'visualization']

2023-07-01

[('pyg-team/pytorch_geometric', 0.6165646910667419, 'ml-dl', 1), ('koaning/embetter', 0.6085571646690369, 'data', 0), ('blackhc/toma', 0.588315486907959, 'ml-dl', 3), ('graphistry/pygraphistry', 0.5851930379867554, 'data', 2), ('xl0/lovely-tensors', 0.5830146074295044, 'ml-dl', 2), ('pytorch/torchrec', 0.5692107677459717, 'ml-dl', 3), ('rentruewang/koila', 0.5673205852508545, 'ml', 2), ('pytorch/ignite', 0.5655942559242249, 'ml-dl', 2), ('cupy/cupy', 0.5531930327415466, 'math', 2), ('qdrant/fastembed', 0.5445080995559692, 'ml', 0), ('neuralmagic/sparseml', 0.5381171107292175, 'ml-dl', 1), ('skorch-dev/skorch', 0.5335275530815125, 'ml-dl', 2), ('facebookresearch/pytorch3d', 0.5327015519142151, 'ml-dl', 0), ('lightly-ai/lightly', 0.5311744809150696, 'ml', 2), ('danielegrattarola/spektral', 0.520326554775238, 'ml-dl', 0), ('huggingface/accelerate', 0.5172093510627747, 'ml', 0), ('lutzroeder/netron', 0.5167331695556641, 'ml', 2), ('intel/intel-extension-for-pytorch', 0.5150303244590759, 'perf', 2), ('ddbourgin/numpy-ml', 0.51487797498703, 'ml', 1), ('timdettmers/bitsandbytes', 0.509398341178894, 'util', 1), ('oml-team/open-metric-learning', 0.5077699422836304, 'ml', 1), ('rasbt/machine-learning-book', 0.5070154070854187, 'study', 2), ('neuralmagic/deepsparse', 0.5062499642372131, 'nlp', 0), ('pytorch/pytorch', 0.5061772465705872, 'ml-dl', 2), ('isl-org/open3d', 0.5052924156188965, 'sim', 5), ('koaning/whatlies', 0.5038027167320251, 'nlp', 0), ('mrdbourke/pytorch-deep-learning', 0.5034160017967224, 'study', 2), ('pytorch/captum', 0.5022547245025635, 'ml-interpretability', 0)]

10

7

null

0.04

1

0

38

7

0

6

1

90

1

31

937

web

https://github.com/aeternalis-ingenium/fastapi-backend-template

[]

null

[]

null

aeternalis-ingenium/fastapi-backend-template

FastAPI-Backend-Template

486

76

10

Python

null

A backend project template with FastAPI, PostgreSQL with asynchronous SQLAlchemy 2.0, Alembic for asynchronous database migration, and Docker.

aeternalis-ingenium

2024-01-12

2022-12-05

60

8.08076

null

A backend project template with FastAPI, PostgreSQL with asynchronous SQLAlchemy 2.0, Alembic for asynchronous database migration, and Docker.

['alembic', 'asynchronous', 'asyncpg', 'codecov', 'coverage', 'docker', 'docker-compose', 'fastapi', 'githubactions', 'jwt', 'postgresql', 'pre-commit', 'pytest', 'sqlalchemy']

2023-12-13

[('rawheel/fastapi-boilerplate', 0.7447752356529236, 'web', 6), ('tiangolo/full-stack-fastapi-postgresql', 0.6168069839477539, 'template', 4), ('aminalaee/sqladmin', 0.6071468591690063, 'data', 2), ('s3rius/fastapi-template', 0.5711674690246582, 'web', 3), ('sqlalchemy/alembic', 0.5487288236618042, 'data', 1), ('collerek/ormar', 0.5430356860160828, 'data', 3), ('tiangolo/sqlmodel', 0.5365174412727356, 'data', 2), ('backtick-se/cowait', 0.5334479212760925, 'util', 1), ('sqlalchemy/sqlalchemy', 0.5284538269042969, 'data', 1), ('starlite-api/starlite', 0.5256733298301697, 'web', 0), ('buuntu/fastapi-react', 0.5084453225135803, 'template', 4), ('darribas/gds_env', 0.5019727349281311, 'gis', 1)]

7

3

null

0.27

11

5

14

1

0

11

1

90

0.1

31

1,389

util

https://github.com/pycqa/docformatter

['pep257']

null

[]

null

pycqa/docformatter

docformatter

478

57

9

Python

https://pypi.python.org/pypi/docformatter

Formats docstrings to follow PEP 257

pycqa

2024-01-07

2012-05-26

609

0.784341

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

Formats docstrings to follow PEP 257

['autoformat', 'docstring', 'formatter']

['autoformat', 'docstring', 'formatter', 'pep257']

2023-10-15

[('danielnoord/pydocstringformatter', 0.8163774013519287, 'util', 2), ('hhatto/autopep8', 0.591210126876831, 'util', 1), ('mkdocstrings/mkdocstrings', 0.5333818793296814, 'util', 0), ('mkdocstrings/python', 0.503516674041748, 'util', 0)]

30

4

null

1.31

12

3

142

3

12

5

12

19

90

1.6

31

1,772

jupyter

https://github.com/bloomberg/ipydatagrid

[]

null

[]

null

bloomberg/ipydatagrid

ipydatagrid

467

47

16

TypeScript

null

Fast Datagrid widget for the Jupyter Notebook and JupyterLab

bloomberg

2024-01-12

2019-07-19

236

1.974034

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

Fast Datagrid widget for the Jupyter Notebook and JupyterLab

['datagrid', 'datatable', 'grid', 'jupyter-notebooks', 'jupyterlab-extension']

2023-12-09

[('jupyter-widgets/ipywidgets', 0.6741766929626465, 'jupyter', 2), ('quantopian/qgrid', 0.6440353989601135, 'jupyter', 0), ('tkrabel/bamboolib', 0.6406834721565247, 'pandas', 0), ('aws/graph-notebook', 0.5870513916015625, 'jupyter', 0), ('jupyterlab/jupyterlab-desktop', 0.5657516717910767, 'jupyter', 0), ('jupyter/notebook', 0.5550519824028015, 'jupyter', 0), ('jupyter/nbformat', 0.5524267554283142, 'jupyter', 0), ('koaning/drawdata', 0.551867663860321, 'jupyter', 0), ('holoviz/panel', 0.5404045581817627, 'viz', 0), ('voila-dashboards/voila', 0.5380343794822693, 'jupyter', 1), ('ipython/ipyparallel', 0.5364363193511963, 'perf', 0), ('jakevdp/pythondatasciencehandbook', 0.5277616381645203, 'study', 0), ('vizzuhq/ipyvizzu', 0.522794783115387, 'jupyter', 0), ('jupyterlab/jupyterlab', 0.518395185470581, 'jupyter', 0), ('xiaohk/stickyland', 0.5169107913970947, 'jupyter', 1), ('pyqtgraph/pyqtgraph', 0.5133781433105469, 'viz', 0), ('jazzband/tablib', 0.5118611454963684, 'data', 0), ('jupyter-widgets/ipyleaflet', 0.5112629532814026, 'gis', 1), ('mwouts/jupytext', 0.5105863809585571, 'jupyter', 1), ('maartenbreddels/ipyvolume', 0.5007188320159912, 'jupyter', 0)]

19

4

null

1.12

17

7

55

3

4

9

4

17

12

90

0.7

31

740

study

https://github.com/bayesianmodelingandcomputationinpython/bookcode_edition1

[]

null

[]

null

bayesianmodelingandcomputationinpython/bookcode_edition1

BookCode_Edition1

456

120

18

Jupyter Notebook

https://www.bayesiancomputationbook.com

null

bayesianmodelingandcomputationinpython

2024-01-13

2021-08-17

128

3.5625

https://avatars.githubusercontent.com/u/84690770?v=4

bayesianmodelingandcomputationinpython/BookCode_Edition1

[]

2023-12-28

[('pymc-devs/pymc3', 0.6229053735733032, 'ml', 0), ('gerdm/prml', 0.5888375639915466, 'study', 0), ('pytorch/botorch', 0.5796522498130798, 'ml-dl', 0), ('probml/pyprobml', 0.5301855802536011, 'ml', 0), ('pyro-ppl/pyro', 0.5214691162109375, 'ml-dl', 0), ('scikit-optimize/scikit-optimize', 0.5192668437957764, 'ml', 0)]

10

4

null

0.19

9

6

29

1

0

9

12

90

1.3

31

1,629

data

https://github.com/databrickslabs/dbx

[]

null

[]

null

databrickslabs/dbx

dbx

411

114

21

Python

https://dbx.readthedocs.io

🧱 Databricks CLI eXtensions - aka dbx is a CLI tool for development and advanced Databricks workflows management.

databrickslabs

2024-01-04

2020-03-03

204

2.014706

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

🧱 Databricks CLI eXtensions - aka dbx is a CLI tool for development and advanced Databricks workflows management.

['ci', 'cicd', 'databricks', 'databricks-api', 'databricks-cli', 'mlops']

2023-09-19

[('databricks/dbt-databricks', 0.6466124057769775, 'data', 1), ('hyperqueryhq/whale', 0.5740757584571838, 'data', 0), ('dagster-io/dagster', 0.5274744033813477, 'ml-ops', 1), ('airbytehq/airbyte', 0.5199562907218933, 'data', 0), ('mage-ai/mage-ai', 0.5128315091133118, 'ml-ops', 0), ('airbnb/omniduct', 0.5089248418807983, 'data', 0)]

32

2

null

0.62

21

4

47

4

11

17

11

21

90

1

31

1,072

data

https://github.com/bigscience-workshop/biomedical

[]

null

[]

null

bigscience-workshop/biomedical

biomedical

399

106

28

Python

null

Tools for curating biomedical training data for large-scale language modeling

bigscience-workshop

2024-01-09

2021-09-16

123

3.225173

https://avatars.githubusercontent.com/u/82455566?v=4

Tools for curating biomedical training data for large-scale language modeling

[]

2023-12-06

[('qanastek/drbert', 0.6520806550979614, 'llm', 0), ('ai21labs/lm-evaluation', 0.6412531137466431, 'llm', 0), ('togethercomputer/redpajama-data', 0.6301681995391846, 'llm', 0), ('cg123/mergekit', 0.6185329556465149, 'llm', 0), ('freedomintelligence/llmzoo', 0.6107045412063599, 'llm', 0), ('hannibal046/awesome-llm', 0.6027185916900635, 'study', 0), ('ctlllll/llm-toolmaker', 0.5948196053504944, 'llm', 0), ('lm-sys/fastchat', 0.589521050453186, 'llm', 0), ('epfllm/meditron', 0.5808714032173157, 'llm', 0), ('openbmb/toolbench', 0.5767196416854858, 'llm', 0), ('infinitylogesh/mutate', 0.5588589310646057, 'nlp', 0), ('jonasgeiping/cramming', 0.5536470413208008, 'nlp', 0), ('eleutherai/lm-evaluation-harness', 0.5494688153266907, 'llm', 0), ('juncongmoo/pyllama', 0.5467652678489685, 'llm', 0), ('eleutherai/the-pile', 0.5412442684173584, 'data', 0), ('guidance-ai/guidance', 0.5397950410842896, 'llm', 0), ('huawei-noah/pretrained-language-model', 0.5387159585952759, 'nlp', 0), ('huggingface/text-generation-inference', 0.5347291231155396, 'llm', 0), ('yueyu1030/attrprompt', 0.5249584317207336, 'llm', 0), ('bigscience-workshop/megatron-deepspeed', 0.5243796706199646, 'llm', 0), ('microsoft/megatron-deepspeed', 0.5243796706199646, 'llm', 0), ('lianjiatech/belle', 0.5243057012557983, 'llm', 0), ('huggingface/evaluate', 0.5192505121231079, 'ml', 0), ('predibase/llm_distillation_playbook', 0.5187903642654419, 'llm', 0), ('anthropics/evals', 0.5112786889076233, 'llm', 0), ('mooler0410/llmspracticalguide', 0.5104791522026062, 'study', 0), ('explosion/spacy-llm', 0.510345458984375, 'llm', 0), ('srush/minichain', 0.5102963447570801, 'llm', 0), ('koaning/embetter', 0.5097063183784485, 'data', 0), ('bytedance/lightseq', 0.5078558325767517, 'nlp', 0), ('salesforce/xgen', 0.5077841877937317, 'llm', 0), ('maartengr/bertopic', 0.5077448487281799, 'nlp', 0), ('yizhongw/self-instruct', 0.5062916278839111, 'llm', 0), ('microsoft/unilm', 0.5054998397827148, 'nlp', 0), ('openai/finetune-transformer-lm', 0.5047228336334229, 'llm', 0), ('databrickslabs/dolly', 0.5042515397071838, 'llm', 0)]

56

6

null

0.71

10

8

28

1

0

10

1

90

0.1

31

1,091

ml-interpretability

https://github.com/alignmentresearch/tuned-lens

[]

null

[]

null

alignmentresearch/tuned-lens

tuned-lens

318

32

6

Python

https://tuned-lens.readthedocs.io/en/latest/

Tools for understanding how transformer predictions are built layer-by-layer

alignmentresearch

2024-01-11

2022-10-03

69

4.599174

https://avatars.githubusercontent.com/u/108596820?v=4

Tools for understanding how transformer predictions are built layer-by-layer

['machine-learning', 'pytorch', 'transformers']

2023-09-11

[('eleutherai/knowledge-neurons', 0.6871256828308105, 'ml-interpretability', 1), ('huggingface/transformers', 0.6621186137199402, 'nlp', 2), ('opengeos/earthformer', 0.6345276832580566, 'gis', 0), ('cdpierse/transformers-interpret', 0.6314489245414734, 'ml-interpretability', 2), ('nvidia/megatron-lm', 0.6293410658836365, 'llm', 0), ('huggingface/optimum', 0.5732378363609314, 'ml', 2), ('marella/ctransformers', 0.5659533143043518, 'nlp', 1), ('nielsrogge/transformers-tutorials', 0.5491597652435303, 'study', 2), ('karpathy/mingpt', 0.5471770763397217, 'llm', 0), ('ist-daslab/gptq', 0.5439256429672241, 'llm', 0), ('apple/ml-ane-transformers', 0.5322527289390564, 'ml', 0), ('bigscience-workshop/megatron-deepspeed', 0.515650749206543, 'llm', 0), ('microsoft/megatron-deepspeed', 0.515650749206543, 'llm', 0), ('thilinarajapakse/simpletransformers', 0.5096346735954285, 'nlp', 1), ('aistream-peelout/flow-forecast', 0.5054931640625, 'time-series', 1)]

5

3

null

2.69

3

1

16

4

5

3

2

90

0.7

31

997

finance

https://github.com/lballabio/quantlib-swig

[]

null

[]

null

lballabio/quantlib-swig

QuantLib-SWIG

311

273

38

SWIG

null

QuantLib wrappers to other languages

lballabio

2024-01-11

2015-12-17

423

0.733985

null

QuantLib wrappers to other languages

['quantitative-finance']

2024-01-12

[('enthought/pyql', 0.5862199664115906, 'finance', 0), ('goldmansachs/gs-quant', 0.5069200396537781, 'finance', 0), ('ta-lib/ta-lib-python', 0.505255401134491, 'finance', 1)]

82

2

null

2.44

18

16

98

0

5

18

13

90

0.7

31

893

gis

https://github.com/amazon-science/earth-forecasting-transformer

[]

null

[]

null

amazon-science/earth-forecasting-transformer

earth-forecasting-transformer

310

53

12

Jupyter Notebook

null

Official implementation of Earthformer

amazon-science

2024-01-10

2022-09-12

72

4.29703

https://avatars.githubusercontent.com/u/70298811?v=4

Official implementation of Earthformer

[]

2023-07-16

[('opengeos/earthformer', 0.5462614893913269, 'gis', 0)]

7

4

null

0.1

7

2

16

6

0

7

24

90

3.4

31

1,400

finance

https://github.com/chancefocus/pixiu

['language-model', 'llm']

null

[]

null

chancefocus/pixiu

PIXIU

300

26

6

Python

null

This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).

chancefocus

2024-01-14

2023-06-02

34

8.677686

https://avatars.githubusercontent.com/u/26429143?v=4

This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).

['aifinance', 'chatgpt', 'fintech', 'gpt-4', 'large-language-models', 'llama', 'machine-learning', 'named-entity-recognition', 'natural-language-processing', 'nlp', 'pixiu', 'question-answering', 'sentiment-analysis', 'stock-price-prediction', 'text-classification']

['aifinance', 'chatgpt', 'fintech', 'gpt-4', 'language-model', 'large-language-models', 'llama', 'llm', 'machine-learning', 'named-entity-recognition', 'natural-language-processing', 'nlp', 'pixiu', 'question-answering', 'sentiment-analysis', 'stock-price-prediction', 'text-classification']

2023-12-03

[('ai4finance-foundation/fingpt', 0.7477177381515503, 'finance', 8), ('ai4finance-foundation/finrl', 0.5721709132194519, 'finance', 1), ('mindsdb/mindsdb', 0.5329363346099854, 'data', 2), ('microsoft/qlib', 0.5296194553375244, 'finance', 2), ('argilla-io/argilla', 0.5267559289932251, 'nlp', 5), ('llmware-ai/llmware', 0.5248722434043884, 'llm', 4), ('numerai/example-scripts', 0.5142377018928528, 'finance', 1), ('nebuly-ai/nebullvm', 0.5107274651527405, 'perf', 2)]

7

1

null

2.69

11

8

1

0

11

3

90

0.3

31

651

template

https://github.com/sqlalchemy/mako

[]

null

[]

null

sqlalchemy/mako

mako

293

55

12

Python

https://www.makotemplates.org

Mako Templates for Python

sqlalchemy

2024-01-04

2018-11-26

270

1.084611

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

Mako Templates for Python

[]

2023-11-08

[('pyscaffold/pyscaffold', 0.5707492828369141, 'template', 0), ('martinheinz/python-project-blueprint', 0.5644561648368835, 'template', 0), ('pallets/flask', 0.5588720440864563, 'web', 0), ('eugeneyan/python-collab-template', 0.5552263855934143, 'template', 0), ('klen/muffin', 0.5490294694900513, 'web', 0), ('pallets/jinja', 0.54783034324646, 'util', 0), ('pypy/pypy', 0.5476346015930176, 'util', 0), ('eleutherai/pyfra', 0.5347551107406616, 'ml', 0), ('pytoolz/toolz', 0.530997097492218, 'util', 0), ('pylons/pyramid', 0.5201253890991211, 'web', 0), ('hoffstadt/dearpygui', 0.5178695917129517, 'gui', 0), ('python/cpython', 0.5141631960868835, 'util', 0), ('brandon-rhodes/python-patterns', 0.5129835605621338, 'util', 0), ('bottlepy/bottle', 0.5123538970947266, 'web', 0), ('google/latexify_py', 0.5123310685157776, 'util', 0), ('ta-lib/ta-lib-python', 0.511563241481781, 'finance', 0), ('kubeflow/fairing', 0.5085417628288269, 'ml-ops', 0), ('connorferster/handcalcs', 0.5080623626708984, 'jupyter', 0), ('masoniteframework/masonite', 0.5073601603507996, 'web', 0), ('hhatto/autopep8', 0.5068827867507935, 'util', 0), ('xrudelis/pytrait', 0.505092203617096, 'util', 0), ('pdm-project/pdm', 0.5048580765724182, 'util', 0), ('pypa/hatch', 0.5044662356376648, 'util', 0)]

59

7

null

0.08

3

2

62

2

1

13

1

3

9

90

3

31

1,355

time-series

https://github.com/wilsonrljr/sysidentpy

['dynamical-systems']

null

[]

null

wilsonrljr/sysidentpy

sysidentpy

282

55

12

Python

https://sysidentpy.org

A Python Package For System Identification Using NARMAX Models

wilsonrljr

2024-01-05

2019-03-13

254

1.106502

null

A Python Package For System Identification Using NARMAX Models

['data-science', 'dynamical-systems', 'machine-learning', 'narmax', 'narx', 'system-identification', 'time-series']

2023-11-22

[('dynamicslab/pysindy/', 0.6205930113792419, 'math', 3), ('alkaline-ml/pmdarima', 0.5545415878295898, 'time-series', 2), ('artemyk/dynpy', 0.5530008673667908, 'sim', 0), ('unit8co/darts', 0.5214325785636902, 'time-series', 3), ('firmai/atspy', 0.5202825665473938, 'time-series', 1), ('ta-lib/ta-lib-python', 0.5129168033599854, 'finance', 0), ('pycaret/pycaret', 0.5120651125907898, 'ml', 3)]

12

7

null

2.19

13

9

59

2

4

3

4

13

12

90

0.9

31

856

ml-ops

https://github.com/astronomer/airflow-chart

[]

null

[]

null

astronomer/airflow-chart

airflow-chart

261

93

47

Python

null

A Helm chart to install Apache Airflow on Kubernetes

astronomer

2024-01-13

2020-01-22

209

1.243703

https://avatars.githubusercontent.com/u/12449437?v=4

A Helm chart to install Apache Airflow on Kubernetes

['airflow', 'apache-airflow', 'helm-chart', 'kubernetes']

2023-12-14

[('astronomer/astronomer', 0.8572540283203125, 'ml-ops', 2)]

49

3

null

1.42

16

15

48

1

22

28

22

16

9

90

0.6

31

1,471

data

https://github.com/piccolo-orm/piccolo_admin

[]

null

[]

null

piccolo-orm/piccolo_admin

piccolo_admin

256

32

7

Python

https://piccolo-orm.com/ecosystem/

A powerful web admin for your database.

piccolo-orm

2024-01-13

2019-06-25

240

1.066667

https://avatars.githubusercontent.com/u/45742130?v=4

A powerful web admin for your database.

['admin', 'asgi', 'asyncio', 'cms', 'content-management-system', 'dashboard', 'database', 'fastapi', 'piccolo', 'postgresql', 'sqlite', 'starlette', 'vuejs']

2023-11-18

[('tiangolo/full-stack-fastapi-postgresql', 0.6423637866973877, 'template', 2), ('aminalaee/sqladmin', 0.6254207491874695, 'data', 5), ('fastapi-admin/fastapi-admin', 0.6113201975822449, 'web', 3), ('zenodo/zenodo', 0.5565163493156433, 'util', 1), ('coleifer/peewee', 0.5553250908851624, 'data', 1), ('prefecthq/server', 0.5307790040969849, 'util', 0), ('tiangolo/sqlmodel', 0.5287275910377502, 'data', 1), ('django/django', 0.5213547348976135, 'web', 0), ('simonw/datasette', 0.5212988257408142, 'data', 2), ('airbytehq/airbyte', 0.5102675557136536, 'data', 1), ('wagtail/wagtail', 0.5042932033538818, 'web', 1)]

17

5

null

1.38

30

26

55

2

24

28

24

30

17

90

0.6

31

1,549

llm

https://github.com/rcgai/simplyretrieve

[]

null

[]

null

rcgai/simplyretrieve

SimplyRetrieve

175

15

6

Python

null

Lightweight chat AI platform featuring custom knowledge, open-source LLMs, prompt-engineering, retrieval analysis. Highly customizable. For Retrieval-Centric & Retrieval-Augmented Generation.

rcgai

2024-01-12

2023-07-24

27

6.447368

null

Lightweight chat AI platform featuring custom knowledge, open-source LLMs, prompt-engineering, retrieval analysis. Highly customizable. For Retrieval-Centric & Retrieval-Augmented Generation.

['artificial-intelligence', 'chat-ai', 'generative-ai', 'huggingface', 'large-language-models', 'machine-learning', 'natural-language-processing', 'nlp', 'prompt-engineering', 'retrieval-augmented-generation', 'retrieval-centric-generation']

2023-12-22

[('embedchain/embedchain', 0.6877291202545166, 'llm', 0), ('deepset-ai/haystack', 0.67171311378479, 'llm', 4), ('larsbaunwall/bricky', 0.6707216501235962, 'llm', 0), ('deeppavlov/deeppavlov', 0.6620361804962158, 'nlp', 3), ('rasahq/rasa', 0.660693347454071, 'llm', 3), ('nomic-ai/gpt4all', 0.6575261950492859, 'llm', 0), ('weaviate/verba', 0.6520878076553345, 'llm', 0), ('cheshire-cat-ai/core', 0.6481109261512756, 'llm', 0), ('togethercomputer/openchatkit', 0.6417977213859558, 'nlp', 0), ('openlmlab/moss', 0.6414903998374939, 'llm', 2), ('lm-sys/fastchat', 0.6361554265022278, 'llm', 0), ('chatarena/chatarena', 0.6356537342071533, 'llm', 3), ('fasteval/fasteval', 0.6337692141532898, 'llm', 0), ('krohling/bondai', 0.6295303702354431, 'llm', 0), ('minimaxir/simpleaichat', 0.6199681162834167, 'llm', 0), ('run-llama/rags', 0.6102337837219238, 'llm', 0), ('nvidia/nemo', 0.6101846098899841, 'nlp', 1), ('gunthercox/chatterbot', 0.5998932123184204, 'nlp', 1), ('llmware-ai/llmware', 0.5904434323310852, 'llm', 5), ('pathwaycom/llm-app', 0.5839216113090515, 'llm', 2), ('prefecthq/marvin', 0.5794979929924011, 'nlp', 0), ('microsoft/generative-ai-for-beginners', 0.5786988139152527, 'study', 2), ('intel/intel-extension-for-transformers', 0.5712392330169678, 'perf', 0), ('intellabs/fastrag', 0.5627588629722595, 'nlp', 2), ('deep-diver/llm-as-chatbot', 0.5600287914276123, 'llm', 0), ('facebookresearch/parlai', 0.5574244856834412, 'nlp', 0), ('langchain-ai/chat-langchain', 0.5566864013671875, 'llm', 0), ('hwchase17/langchain', 0.5519610643386841, 'llm', 0), ('microsoft/autogen', 0.5516322255134583, 'llm', 0), ('paddlepaddle/paddlenlp', 0.5365450978279114, 'llm', 1), ('argilla-io/argilla', 0.5302114486694336, 'nlp', 3), ('dylanhogg/llmgraph', 0.5281891226768494, 'ml', 0), ('bigscience-workshop/promptsource', 0.5266952514648438, 'nlp', 3), ('microsoft/chatgpt-robot-manipulation-prompts', 0.5226764678955078, 'llm', 0), ('marqo-ai/marqo', 0.5212767124176025, 'ml', 3), ('microsoft/lmops', 0.5208574533462524, 'llm', 1), ('databrickslabs/dolly', 0.5198461413383484, 'llm', 0), ('openai/chatgpt-retrieval-plugin', 0.5177233815193176, 'llm', 0), ('thilinarajapakse/simpletransformers', 0.5177233815193176, 'nlp', 0), ('eugeneyan/obsidian-copilot', 0.5125769972801208, 'llm', 3), ('blinkdl/chatrwkv', 0.5114522576332092, 'llm', 0), ('gunthercox/chatterbot-corpus', 0.5069754123687744, 'nlp', 0), ('nebuly-ai/nebullvm', 0.5062447786331177, 'perf', 2), ('killianlucas/open-interpreter', 0.5058812499046326, 'llm', 0), ('mindsdb/mindsdb', 0.5031827688217163, 'data', 3), ('openai/gpt-discord-bot', 0.5008484125137329, 'llm', 0), ('aiwaves-cn/agents', 0.5003217458724976, 'nlp', 0)]

2

0

null

2.38

2

0

6

1

4

8

4

2

6

90

3

31