dylanhogg/awesome-python · Datasets at Hugging Face

1,601

ml-dl

https://github.com/whitead/dmol-book

['molecules']

null

[]

null

whitead/dmol-book

dmol-book

553

108

17

Jupyter Notebook

https://dmol.pub

Deep learning for molecules and materials book

whitead

2024-01-04

2020-08-19

179

3.074662

null

Deep learning for molecules and materials book

['chemistry', 'deep-learning', 'materials-informatics']

['chemistry', 'deep-learning', 'materials-informatics', 'molecules']

2023-07-02

[('deepmodeling/deepmd-kit', 0.702418863773346, 'sim', 1), ('google-deepmind/materials_discovery', 0.5389830470085144, 'sim', 0), ('mrdbourke/pytorch-deep-learning', 0.5192140340805054, 'study', 1), ('udacity/deep-learning-v2-pytorch', 0.5150943994522095, 'study', 1), ('d2l-ai/d2l-en', 0.5019837021827698, 'study', 1)]

19

5

null

0.08

0

41

6

0

90

0

24

894

util

https://github.com/ofek/pypinfo

[]

null

[]

null

ofek/pypinfo

pypinfo

386

38

14

Python

null

Easily view PyPI download statistics via Google's BigQuery.

ofek

2024-01-06

2017-05-13

350

1.101508

null

Easily view PyPI download statistics via Google's BigQuery.

['bigquery', 'statistics']

2023-10-05

[('hugovk/pypistats', 0.7068412899971008, 'util', 1), ('googleapis/python-bigquery', 0.5070151686668396, 'data', 0)]

11

7

null

0.19

0

81

3

0

4

0

90

0

24

1,730

util

https://github.com/grantjenks/blue

['code-quality']

null

[]

null

grantjenks/blue

blue

370

21

9

Python

https://blue.readthedocs.io/

The slightly less uncompromising Python code formatter.

grantjenks

2024-01-12

2020-09-02

177

2.080321

null

The slightly less uncompromising Python code formatter.

['autopep8', 'black', 'code', 'codeformatter', 'formatter', 'gofmt', 'pyfmt', 'yapf']

['autopep8', 'black', 'code', 'code-quality', 'codeformatter', 'formatter', 'gofmt', 'pyfmt', 'yapf']

2022-10-27

[('psf/black', 0.9170903563499451, 'util', 7), ('hhatto/autopep8', 0.7624608278274536, 'util', 2), ('google/yapf', 0.749129056930542, 'util', 2), ('astral-sh/ruff', 0.6735846996307373, 'util', 1), ('pycqa/flake8', 0.6205138564109802, 'util', 1), ('google/pytype', 0.6101509928703308, 'typing', 1), ('rubik/radon', 0.6026664972305298, 'util', 0), ('pygments/pygments', 0.5901092886924744, 'util', 0), ('instagram/monkeytype', 0.5733786225318909, 'typing', 1), ('landscapeio/prospector', 0.5565185546875, 'util', 0), ('nedbat/coveragepy', 0.5528746843338013, 'testing', 0), ('pypy/pypy', 0.5494239926338196, 'util', 0), ('python/mypy', 0.5406695604324341, 'typing', 1), ('pycqa/pylint-django', 0.5386630892753601, 'util', 0), ('agronholm/typeguard', 0.5374644994735718, 'typing', 1), ('willmcgugan/rich', 0.5356051325798035, 'term', 0), ('google/latexify_py', 0.5342947244644165, 'util', 0), ('hoffstadt/dearpygui', 0.5329349040985107, 'gui', 0), ('eugeneyan/python-collab-template', 0.5308860540390015, 'template', 0), ('microsoft/pyright', 0.529589056968689, 'typing', 1), ('nbqa-dev/nbqa', 0.5135296583175659, 'jupyter', 2), ('facebook/pyre-check', 0.5125738382339478, 'typing', 1), ('danielnoord/pydocstringformatter', 0.5090311169624329, 'util', 1), ('pytoolz/toolz', 0.5073704719543457, 'util', 0), ('cython/cython', 0.5051524043083191, 'util', 0), ('hadialqattan/pycln', 0.5049071311950684, 'util', 0), ('fchollet/deep-learning-with-python-notebooks', 0.5027827024459839, 'study', 0), ('microsoft/pycodegpt', 0.5024159550666809, 'llm', 0), ('pycqa/isort', 0.5017447471618652, 'util', 2)]

11

3

null

0

2

0

41

15

0

3

2

90

1

24

1,300

diffusion

https://github.com/albarji/mixture-of-diffusers

[]

null

['2302.02412']

[]

null

albarji/mixture-of-diffusers

mixture-of-diffusers

356

34

7

Python

null

Mixture of Diffusers for scene composition and high resolution image generation

albarji

2024-01-13

2022-08-23

75

4.746667

null

Mixture of Diffusers for scene composition and high resolution image generation

['ai', 'computer-vision', 'diffusion-models', 'stable-diffusion']

2023-05-21

[('compvis/latent-diffusion', 0.6906744837760925, 'diffusion', 0), ('stability-ai/stablediffusion', 0.690674364566803, 'diffusion', 0), ('huggingface/diffusers', 0.6519318222999573, 'diffusion', 1), ('carson-katri/dream-textures', 0.6328878998756409, 'diffusion', 2), ('nateraw/stable-diffusion-videos', 0.5622400045394897, 'diffusion', 1), ('compvis/stable-diffusion', 0.5530049204826355, 'diffusion', 0), ('openai/glide-text2im', 0.5093878507614136, 'diffusion', 0), ('fourthbrain/fastapi-for-machine-learning-live-demo', 0.5000970959663391, 'web', 0)]

3

1

null

0.81

2

1

17

8

6

2

0

90

0

24

210

util

https://github.com/tiangolo/poetry-version-plugin

[]

null

[]

null

tiangolo/poetry-version-plugin

poetry-version-plugin

332

30

4

Python

null

Poetry plugin for dynamically extracting the package version from a __version__ variable or a Git tag.

tiangolo

2024-01-13

2021-05-27

139

2.376278

null

Poetry plugin for dynamically extracting the package version from a __version__ variable or a Git tag.

['packaging', 'packaging-for-pypi', 'python-poetry']

2023-11-04

[('mtkennerly/poetry-dynamic-versioning', 0.6403163075447083, 'util', 0), ('python-poetry/poetry', 0.6390268206596375, 'util', 1), ('mitsuhiko/rye', 0.5633344054222107, 'util', 1), ('python-poetry/install.python-poetry.org', 0.5517739653587341, 'util', 0), ('indygreg/pyoxidizer', 0.5493191480636597, 'util', 1), ('thoth-station/micropipenv', 0.5446652173995972, 'util', 0), ('pdm-project/pdm', 0.54221111536026, 'util', 1), ('pypi/warehouse', 0.537349283695221, 'util', 0), ('tezromach/python-package-template', 0.5260007977485657, 'template', 0), ('pypa/flit', 0.519473671913147, 'util', 1), ('pypa/hatch', 0.5143115520477295, 'util', 1)]

3

1

null

0.15

19

5

32

2

1

19

15

90

0.8

24

452

gis

https://github.com/openaddresses/pyesridump

[]

null

[]

null

openaddresses/pyesridump

pyesridump

294

68

14

Python

null

Scrapes an ESRI MapServer REST endpoint to spit out more generally-usable geodata.

openaddresses

2024-01-11

2013-12-06

529

0.555166

https://avatars.githubusercontent.com/u/6895392?v=4

Scrapes an ESRI MapServer REST endpoint to spit out more generally-usable geodata.

[]

2023-09-26

[('nasdaq/data-link-python', 0.5270365476608276, 'finance', 0)]

14

5

null

0.13

4

1

123

4

1

2

1

4

5

90

1.2

24

465

math

https://github.com/lukaszahradnik/pyneuralogic

[]

null

[]

null

lukaszahradnik/pyneuralogic

PyNeuraLogic

261

19

6

Python

https://pyneuralogic.readthedocs.io/

PyNeuraLogic lets you use Python to create Differentiable Logic Programs

lukaszahradnik

2024-01-06

2020-12-06

164

1.588696

null

PyNeuraLogic lets you use Python to create Differentiable Logic Programs

['deep-learning', 'differentiable-programming', 'geometric-deep-learning', 'graph-neural-networks', 'logic-programming', 'machine-learning', 'pytorch', 'relational-learning']

2024-01-10

[('pypy/pypy', 0.5711145997047424, 'util', 0), ('google/pyglove', 0.5553054809570312, 'util', 1), ('explosion/thinc', 0.5442025065422058, 'ml-dl', 3), ('gradio-app/gradio', 0.5357550978660583, 'viz', 2), ('explosion/spacy', 0.5333031415939331, 'nlp', 2), ('evhub/coconut', 0.5328680872917175, 'util', 0), ('pyro-ppl/pyro', 0.5193347930908203, 'ml-dl', 3), ('ddbourgin/numpy-ml', 0.5184630155563354, 'ml', 1), ('pytorch/rl', 0.5153552889823914, 'ml-rl', 2), ('dylanhogg/awesome-python', 0.5141112804412842, 'study', 2), ('cython/cython', 0.5075069665908813, 'util', 0), ('ml-tooling/opyrator', 0.5073249936103821, 'viz', 1), ('pytoolz/toolz', 0.5010553002357483, 'util', 0)]

3

2

null

0.96

0

38

0

9

14

9

0

90

0

24

1,184

llm

https://github.com/ai21labs/in-context-ralm

['retrieval-augmentation', 'language-model']

In-Context Retrieval-Augmented Language Models

[]

null

ai21labs/in-context-ralm

in-context-ralm

199

19

5

Python

null

ai21labs

2024-01-12

2023-01-26

52

3.775068

https://avatars.githubusercontent.com/u/33798954?v=4

In-Context Retrieval-Augmented Language Models

[]

['language-model', 'retrieval-augmentation']

2023-12-20

[('intellabs/fastrag', 0.6507914066314697, 'nlp', 1), ('srush/minichain', 0.5984602570533752, 'llm', 1), ('luohongyin/sail', 0.5805896520614624, 'llm', 1), ('facebookresearch/dpr-scale', 0.5703505873680115, 'nlp', 0), ('paddlepaddle/rocketqa', 0.5692198872566223, 'nlp', 0), ('freedomintelligence/llmzoo', 0.5410796403884888, 'llm', 1), ('ai21labs/lm-evaluation', 0.5293609499931335, 'llm', 1), ('muennighoff/sgpt', 0.5289058685302734, 'llm', 1), ('openlmlab/moss', 0.5220905542373657, 'llm', 1), ('eleutherai/lm-evaluation-harness', 0.5203155875205994, 'llm', 1), ('ddangelov/top2vec', 0.5187664031982422, 'nlp', 0), ('ukplab/sentence-transformers', 0.5168312788009644, 'nlp', 0), ('sebischair/lbl2vec', 0.5090823173522949, 'nlp', 0), ('openlmlab/leval', 0.5012268424034119, 'llm', 1)]

1

0

null

0.35

5

12

1

0

5

10

90

2

24

399

study

https://github.com/dylanhogg/awesome-python

['awesome']

null

[]

['<hide>']

null

dylanhogg/awesome-python

awesome-python

198

15

7

HTML

https://www.awesomepython.org

🐍 Hand-picked awesome Python libraries and frameworks, with an emphasis on data and machine learning, organised by category

dylanhogg

2024-01-12

2020-06-20

188

1.050796

null

🐍 Hand-picked awesome Python libraries and frameworks, with an emphasis on data and machine learning, organised by category

['awesome', 'awesome-list', 'awesome-python', 'chatgpt', 'data', 'data-science', 'deep-learning', 'jupyter', 'machine-learning', 'natural-language-processing', 'nlp', 'open-source', 'pandas']

2024-01-14

[('krzjoa/awesome-python-data-science', 0.7601116299629211, 'study', 6), ('timofurrer/awesome-asyncio', 0.7224661111831665, 'study', 2), ('gradio-app/gradio', 0.6672014594078064, 'viz', 3), ('christoschristofidis/awesome-deep-learning', 0.6466501355171204, 'study', 4), ('fastai/fastcore', 0.6330905556678772, 'util', 0), ('pandas-dev/pandas', 0.6308945417404175, 'pandas', 2), ('plotly/dash', 0.619914174079895, 'viz', 2), ('merantix-momentum/squirrel-core', 0.6165292263031006, 'ml', 5), ('paddlepaddle/paddlenlp', 0.6097233295440674, 'llm', 1), ('rasbt/mlxtend', 0.6053752899169922, 'ml', 2), ('featurelabs/featuretools', 0.6018655300140381, 'ml', 2), ('polyaxon/datatile', 0.6012967228889465, 'pandas', 2), ('pytoolz/toolz', 0.5974959135055542, 'util', 0), ('trananhkma/fucking-awesome-python', 0.5963839888572693, 'study', 1), ('ta-lib/ta-lib-python', 0.59423828125, 'finance', 0), ('holoviz/panel', 0.5920050144195557, 'viz', 1), ('pycaret/pycaret', 0.5809772610664368, 'ml', 2), ('goldmansachs/gs-quant', 0.5735217928886414, 'finance', 0), ('pypy/pypy', 0.5712080597877502, 'util', 0), ('firmai/industry-machine-learning', 0.5685208439826965, 'study', 2), ('masoniteframework/masonite', 0.5680248141288757, 'web', 0), ('eventual-inc/daft', 0.5679042935371399, 'pandas', 3), ('eleutherai/pyfra', 0.5674682259559631, 'ml', 0), ('dylanhogg/crazy-awesome-crypto', 0.5653820037841797, 'crypto', 3), ('fchollet/deep-learning-with-python-notebooks', 0.5646929144859314, 'study', 0), ('willmcgugan/textual', 0.5644351243972778, 'term', 0), ('huggingface/huggingface_hub', 0.5635517835617065, 'ml', 3), ('1200wd/bitcoinlib', 0.5614901185035706, 'crypto', 0), ('cython/cython', 0.5576968193054199, 'util', 0), ('dagworks-inc/hamilton', 0.5567782521247864, 'ml-ops', 3), ('pallets/flask', 0.5550673604011536, 'web', 0), ('tensorly/tensorly', 0.5549004673957825, 'ml-dl', 1), ('explosion/thinc', 0.5546610951423645, 'ml-dl', 4), ('klen/muffin', 0.5525697469711304, 'web', 0), ('huggingface/datasets', 0.5519663095474243, 'nlp', 5), ('jovianml/opendatasets', 0.5494063496589661, 'data', 2), ('plotly/plotly.py', 0.549170970916748, 'viz', 0), ('clips/pattern', 0.5490561723709106, 'nlp', 2), ('wesm/pydata-book', 0.548250138759613, 'study', 0), ('explosion/spacy', 0.5455989241600037, 'nlp', 5), ('man-group/dtale', 0.5450599193572998, 'viz', 2), ('probml/pyprobml', 0.5428842306137085, 'ml', 1), ('vaexio/vaex', 0.5425941944122314, 'perf', 2), ('huggingface/transformers', 0.5408051609992981, 'nlp', 4), ('evhub/coconut', 0.5391582250595093, 'util', 0), ('rasahq/rasa', 0.536875307559967, 'llm', 3), ('kubeflow-kale/kale', 0.5359322428703308, 'ml-ops', 1), ('hoffstadt/dearpygui', 0.5330666899681091, 'gui', 0), ('ibis-project/ibis', 0.5329792499542236, 'data', 1), ('ml-tooling/opyrator', 0.532485842704773, 'viz', 1), ('reloadware/reloadium', 0.5307287573814392, 'profiling', 2), ('ageron/handson-ml2', 0.5303460955619812, 'ml', 0), ('python/cpython', 0.5265739560127258, 'util', 0), ('ranaroussi/quantstats', 0.5245246887207031, 'finance', 0), ('r0x0r/pywebview', 0.5234578251838684, 'gui', 0), ('falconry/falcon', 0.5216991901397705, 'web', 0), ('kubeflow/fairing', 0.5207975506782532, 'ml-ops', 0), ('unionai-oss/pandera', 0.5203728079795837, 'pandas', 1), ('imageio/imageio', 0.5201471447944641, 'util', 0), ('thealgorithms/python', 0.5201041102409363, 'study', 0), ('pyparsing/pyparsing', 0.5186076164245605, 'util', 0), ('aws/sagemaker-python-sdk', 0.5184698104858398, 'ml', 1), ('bottlepy/bottle', 0.5162600874900818, 'web', 0), ('skops-dev/skops', 0.5161980986595154, 'ml-ops', 1), ('online-ml/river', 0.5161080360412598, 'ml', 2), ('alphasecio/langchain-examples', 0.5161072611808777, 'llm', 0), ('pygamelib/pygamelib', 0.5159634947776794, 'gamedev', 0), ('webpy/webpy', 0.5156476497650146, 'web', 0), ('google/pyglove', 0.5149620175361633, 'util', 1), ('scrapy/scrapy', 0.5145118832588196, 'data', 0), ('google/tf-quant-finance', 0.5142082571983337, 'finance', 0), ('mljar/mljar-supervised', 0.5141728520393372, 'ml', 2), ('lukaszahradnik/pyneuralogic', 0.5141112804412842, 'math', 2), ('scikit-learn/scikit-learn', 0.5138348937034607, 'ml', 2), ('reflex-dev/reflex', 0.5130147337913513, 'web', 1), ('backtick-se/cowait', 0.5124981999397278, 'util', 1), ('sloria/textblob', 0.5117655992507935, 'nlp', 2), ('malloydata/malloy-py', 0.5110769867897034, 'data', 1), ('indico/indico', 0.5107914209365845, 'web', 0), ('adap/flower', 0.510422945022583, 'ml-ops', 2), ('scikit-learn-contrib/imbalanced-learn', 0.5090502500534058, 'ml', 2), ('tensorflow/tensorflow', 0.5077972412109375, 'ml-dl', 2), ('uber/petastorm', 0.5067077875137329, 'data', 2), ('rasbt/machine-learning-book', 0.5065024495124817, 'study', 2), ('mlflow/mlflow', 0.5060958862304688, 'ml-ops', 1), ('openai/openai-python', 0.5051689147949219, 'util', 0), ('nevronai/metisfl', 0.5050832033157349, 'ml', 2), ('tkrabel/bamboolib', 0.5048226118087769, 'pandas', 1), ('pylons/pyramid', 0.5040434002876282, 'web', 0), ('pemistahl/lingua-py', 0.5016226172447205, 'nlp', 2), ('tensorlayer/tensorlayer', 0.5007988810539246, 'ml-rl', 1), ('rapidsai/cudf', 0.5004510283470154, 'pandas', 2), ('stanfordnlp/dspy', 0.5004346966743469, 'llm', 0)]

2

1

null

2.81

1

43

0

3

1

90

1

24

1,574

llm

https://github.com/facebookresearch/shepherd

['language-model', 'critic']

null

[]

null

facebookresearch/shepherd

Shepherd

189

9

5

Jupyter Notebook

null

This is the repo for the paper Shepherd -- A Critic for Language Model Generation

facebookresearch

2024-01-10

2023-07-29

26

7.151351

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

This is the repo for the paper Shepherd -- A Critic for Language Model Generation

[]

['critic', 'language-model']

2023-08-10

[('yueyu1030/attrprompt', 0.572687566280365, 'llm', 0), ('openai/finetune-transformer-lm', 0.5617777705192566, 'llm', 0), ('keirp/automatic_prompt_engineer', 0.5500012636184692, 'llm', 1), ('tatsu-lab/stanford_alpaca', 0.5445735454559326, 'llm', 1), ('huggingface/text-generation-inference', 0.5433861017227173, 'llm', 0), ('ai21labs/lm-evaluation', 0.5377524495124817, 'llm', 1), ('lvwerra/trl', 0.5294312834739685, 'llm', 0), ('hannibal046/awesome-llm', 0.5266714692115784, 'study', 1), ('neulab/prompt2model', 0.52313631772995, 'llm', 1), ('ctlllll/llm-toolmaker', 0.5185016393661499, 'llm', 1), ('guidance-ai/guidance', 0.5177493095397949, 'llm', 1), ('lianjiatech/belle', 0.5161774158477783, 'llm', 0), ('openai/gpt-2', 0.5036864280700684, 'llm', 0), ('juncongmoo/pyllama', 0.5019182562828064, 'llm', 0), ('reasoning-machines/pal', 0.5001876950263977, 'llm', 1)]

4

3

null

0.1

0

6

5

0

90

0

24

1,715

security

https://github.com/aswinnnn/pyscan

['code-quality']

null

[]

null

aswinnnn/pyscan

pyscan

171

4

Rust

null

python dependency vulnerability scanner, written in Rust.

aswinnnn

2024-01-09

2023-05-16

37

4.621622

null

python dependency vulnerability scanner, written in Rust.

['cve', 'hacking', 'ossf', 'osv', 'rust', 'security', 'security-audit', 'security-automation', 'security-tools', 'vulnerabilities', 'vulnerability', 'vulnerability-scanners']

['code-quality', 'cve', 'hacking', 'ossf', 'osv', 'rust', 'security', 'security-audit', 'security-automation', 'security-tools', 'vulnerabilities', 'vulnerability', 'vulnerability-scanners']

2023-10-29

[('astral-sh/ruff', 0.6466583609580994, 'util', 2), ('rustpython/rustpython', 0.6372954249382019, 'util', 1), ('pyupio/safety', 0.6276425123214722, 'security', 2), ('trailofbits/pip-audit', 0.6042621731758118, 'security', 2), ('pyo3/maturin', 0.552875280380249, 'util', 1), ('facebook/pyre-check', 0.5478062033653259, 'typing', 2), ('pola-rs/polars', 0.5435234308242798, 'pandas', 1), ('aquasecurity/trivy', 0.5372655987739563, 'security', 4), ('pycqa/bandit', 0.5267046093940735, 'security', 3), ('nedbat/coveragepy', 0.525583028793335, 'testing', 0), ('pyca/cryptography', 0.5230307579040527, 'util', 0), ('rubik/radon', 0.5182473659515381, 'util', 0), ('python-odin/odin', 0.5133723616600037, 'util', 0), ('mdmzfzl/neetcode-solutions', 0.5120133757591248, 'study', 1), ('pyo3/rust-numpy', 0.5087146759033203, 'util', 1), ('tiiuae/sbomnix', 0.5072173476219177, 'util', 2), ('ta-lib/ta-lib-python', 0.501020610332489, 'finance', 0), ('google/pytype', 0.5005221366882324, 'typing', 1)]

2

1

null

2.44

1

0

8

3

4

9

4

1

0

90

0

24

601

web

https://github.com/pyscript/pyscript-cli

[]

null

[]

null

pyscript/pyscript-cli

pyscript-cli

156

19

13

Python

null

A CLI for PyScript

pyscript

2024-01-04

2022-05-01

91

1.70892

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

A CLI for PyScript

[]

2023-08-17

[('tiangolo/typer', 0.6438218355178833, 'term', 0), ('google/python-fire', 0.6401512026786804, 'term', 0), ('pyscript/pyscript', 0.606472909450531, 'web', 0), ('python/cpython', 0.5967158079147339, 'util', 0), ('kellyjonbrazil/jc', 0.5959556102752686, 'util', 0), ('pytoolz/toolz', 0.5934836864471436, 'util', 0), ('python-poetry/cleo', 0.5874193906784058, 'term', 0), ('pypy/pypy', 0.5749022364616394, 'util', 0), ('urwid/urwid', 0.5667005181312561, 'term', 0), ('hoffstadt/dearpygui', 0.5643460750579834, 'gui', 0), ('pexpect/pexpect', 0.5519907474517822, 'util', 0), ('renpy/renpy', 0.5380860567092896, 'viz', 0), ('jquast/blessed', 0.5302552580833435, 'term', 0), ('microsoft/playwright-python', 0.5237164497375488, 'testing', 0), ('eleutherai/pyfra', 0.5200616717338562, 'ml', 0), ('willmcgugan/textual', 0.5197693109512329, 'term', 0), ('textualize/trogon', 0.516979992389679, 'term', 0), ('pyston/pyston', 0.5076680183410645, 'util', 0), ('pygamelib/pygamelib', 0.5070560574531555, 'gamedev', 0), ('prompt-toolkit/ptpython', 0.5022722482681274, 'util', 0)]

10

3

null

0.83

2

0

21

5

0

3

2

90

1

24

1,410

math

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

['retrieval-augmentation']

null

[]

null

lean-dojo/reprover

ReProver

134

19

9

Python

https://leandojo.org

Retrieval-Augmented Theorem Provers for Lean

lean-dojo

2024-01-09

2023-03-16

45

2.93125

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

Retrieval-Augmented Theorem Provers for Lean

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

['lean', 'machine-learning', 'retrieval-augmentation', 'theorem-proving']

2023-12-26

[('lean-dojo/leandojo', 0.6379106640815735, 'math', 3)]

6

1

null

1.02

11

9

10

1

0

11

8

90

0.7

24

579

gis

https://github.com/developmentseed/cogeo-mosaic

[]

null

[]

null

developmentseed/cogeo-mosaic

cogeo-mosaic

92

25

8

Python

https://developmentseed.org/cogeo-mosaic/

Create and use COG mosaic based on mosaicJSON

developmentseed

2023-12-12

2019-05-14

246

0.373984

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

Create and use COG mosaic based on mosaicJSON

[]

2023-12-06

[]

11

7

null

0.48

2

57

1

0

10

2

0

90

0

24

1,676

util

https://github.com/lyz-code/autoimport

[]

null

[]

null

lyz-code/autoimport

autoimport

80

25

2

Python

https://lyz-code.github.io/autoimport

Autoimport automatically fixes wrong import statements.

lyz-code

2024-01-12

2020-10-16

171

0.466278

null

Autoimport automatically fixes wrong import statements.

[]

2023-11-23

[]

15

3

null

0.25

5

2

39

2

0

13

5

4

90

0.8

24

1,714

ml

https://github.com/dylanhogg/llmgraph

[]

null

[]

null

dylanhogg/llmgraph

llmgraph

22

2

4

Python

null

Create knowledge graphs with LLMs

dylanhogg

2024-01-14

2023-10-05

16

1.316239

null

Create knowledge graphs with LLMs

['chatgpt', 'gephi', 'knowledge-graph', 'large-language-model', 'llama2', 'llm']

2024-01-04

[('mooler0410/llmspracticalguide', 0.6462394595146179, 'study', 0), ('nomic-ai/gpt4all', 0.6398856043815613, 'llm', 0), ('microsoft/autogen', 0.6262103915214539, 'llm', 1), ('awslabs/dgl-ke', 0.6202223300933838, 'ml', 1), ('hwchase17/langchain', 0.6144862174987793, 'llm', 0), ('spcl/graph-of-thoughts', 0.6043452024459839, 'llm', 1), ('young-geng/easylm', 0.6026452779769897, 'llm', 0), ('run-llama/rags', 0.5997524857521057, 'llm', 2), ('zilliztech/gptcache', 0.5875337719917297, 'llm', 2), ('shishirpatil/gorilla', 0.5875014662742615, 'llm', 2), ('deepset-ai/haystack', 0.5867999792098999, 'llm', 1), ('langchain-ai/langgraph', 0.5856835842132568, 'llm', 0), ('bobazooba/xllm', 0.5852743983268738, 'llm', 3), ('explosion/spacy-llm', 0.5829962491989136, 'llm', 1), ('zjunlp/deepke', 0.5825223922729492, 'ml', 1), ('confident-ai/deepeval', 0.581521213054657, 'testing', 2), ('accenture/ampligraph', 0.5810795426368713, 'data', 1), ('thudm/chatglm2-6b', 0.580618679523468, 'llm', 1), ('lupantech/chameleon-llm', 0.574148416519165, 'llm', 2), ('salesforce/xgen', 0.5694348812103271, 'llm', 1), ('lianjiatech/belle', 0.5655115842819214, 'llm', 0), ('microsoft/generative-ai-for-beginners', 0.5651019811630249, 'study', 1), ('eth-sri/lmql', 0.5644213557243347, 'llm', 1), ('salesforce/codet5', 0.563266396522522, 'nlp', 0), ('intel/intel-extension-for-transformers', 0.5522487163543701, 'perf', 1), ('guidance-ai/guidance', 0.5485440492630005, 'llm', 1), ('deepgraphlearning/ultra', 0.5485401749610901, 'ml', 1), ('embedchain/embedchain', 0.5462237596511841, 'llm', 2), ('hiyouga/llama-factory', 0.5430908203125, 'llm', 1), ('hiyouga/llama-efficient-tuning', 0.5430907607078552, 'llm', 1), ('next-gpt/next-gpt', 0.5404556393623352, 'llm', 2), ('juncongmoo/pyllama', 0.5386449694633484, 'llm', 0), ('paddlepaddle/paddlenlp', 0.5368094444274902, 'llm', 1), ('mlc-ai/web-llm', 0.5363897085189819, 'llm', 2), ('hannibal046/awesome-llm', 0.5356044769287109, 'study', 0), ('hegelai/prompttools', 0.5341759324073792, 'llm', 0), ('eugeneyan/open-llms', 0.5341588258743286, 'study', 1), ('llmware-ai/llmware', 0.5296906232833862, 'llm', 0), ('rcgai/simplyretrieve', 0.5281891226768494, 'llm', 0), ('cg123/mergekit', 0.5279366970062256, 'llm', 1), ('eleutherai/the-pile', 0.5278661847114563, 'data', 1), ('nebuly-ai/nebullvm', 0.527693510055542, 'perf', 1), ('microsoft/jarvis', 0.5276885032653809, 'llm', 0), ('li-plus/chatglm.cpp', 0.524939239025116, 'llm', 0), ('fasteval/fasteval', 0.5239781141281128, 'llm', 1), ('nicolas-hbt/pygraft', 0.5217655897140503, 'ml', 1), ('microsoft/promptcraft-robotics', 0.5207331776618958, 'sim', 2), ('epfllm/meditron', 0.5147185921669006, 'llm', 0), ('argilla-io/argilla', 0.5142863988876343, 'nlp', 1), ('microsoft/torchscale', 0.5129197835922241, 'llm', 0), ('oobabooga/text-generation-webui', 0.5120260715484619, 'llm', 0), ('night-chen/toolqa', 0.5115826725959778, 'llm', 0), ('mindsdb/mindsdb', 0.5112169981002808, 'data', 1), ('lm-sys/fastchat', 0.5098823308944702, 'llm', 0), ('h2oai/h2o-llmstudio', 0.5098133087158203, 'llm', 3), ('xtekky/gpt4free', 0.509717583656311, 'llm', 1), ('ctlllll/llm-toolmaker', 0.5081648826599121, 'llm', 0), ('bigscience-workshop/petals', 0.5068194270133972, 'data', 1), ('neuml/txtai', 0.5045521259307861, 'nlp', 1), ('microsoft/promptflow', 0.5038095712661743, 'llm', 2), ('microsoft/vert-papers', 0.5032587647438049, 'nlp', 0), ('ray-project/ray-llm', 0.5024334192276001, 'llm', 1), ('opengenerativeai/genossgpt', 0.5003108382225037, 'llm', 1)]

2

1

null

1.12

4

3

0

16

4

8

90

2

24

1,314

study

https://github.com/trananhkma/fucking-awesome-python

['awesome', 'python']

null

[]

['<hide>']

null

trananhkma/fucking-awesome-python

fucking-awesome-python

1,941

297

72

null

awesome-python with :octocat: :star: and :fork_and_knife:

trananhkma

2024-01-13

2015-09-19

436

4.447463

null

awesome-python with :octocat: ⭐ and 🍴

[]

['awesome']

2023-07-16

[('dylanhogg/awesome-python', 0.5963839888572693, 'study', 1), ('timofurrer/awesome-asyncio', 0.5646189451217651, 'study', 1), ('carpedm20/emoji', 0.5481189489364624, 'util', 0)]

7

1

null

0.1

0

101

6

0

90

0

23

701

util

https://github.com/brandon-rhodes/python-patterns

[]

null

[]

null

brandon-rhodes/python-patterns

python-patterns

1,203

140

312

Python

null

Source code behind the python-patterns.guide site by Brandon Rhodes

brandon-rhodes

2024-01-13

2018-01-31

312

3.845205

null

Source code behind the python-patterns.guide site by Brandon Rhodes

[]

2023-12-27

[('faif/python-patterns', 0.6763890385627747, 'util', 0), ('gerdm/prml', 0.5963156819343567, 'study', 0), ('python/cpython', 0.5899462103843689, 'util', 0), ('amaargiru/pyroad', 0.5854448676109314, 'study', 0), ('landscapeio/prospector', 0.5751134157180786, 'util', 0), ('fchollet/deep-learning-with-python-notebooks', 0.55435711145401, 'study', 0), ('eleutherai/pyfra', 0.5504909157752991, 'ml', 0), ('pytoolz/toolz', 0.5499976277351379, 'util', 0), ('realpython/python-guide', 0.5476312637329102, 'study', 0), ('mynameisfiber/high_performance_python_2e', 0.5350989699363708, 'study', 0), ('wesm/pydata-book', 0.5279967188835144, 'study', 0), ('ta-lib/ta-lib-python', 0.5266119837760925, 'finance', 0), ('google/latexify_py', 0.5185614824295044, 'util', 0), ('hhatto/autopep8', 0.5134424567222595, 'util', 0), ('sympy/sympy', 0.5133131742477417, 'math', 0), ('sqlalchemy/mako', 0.5129835605621338, 'template', 0), ('probml/pyprobml', 0.5112978219985962, 'ml', 0), ('nedbat/coveragepy', 0.5084773302078247, 'testing', 0), ('xrudelis/pytrait', 0.5037622451782227, 'util', 0)]

4

1

null

0.02

0

72

1

0

90

0

23

638

util

https://github.com/metachris/logzero

[]

null

[]

null

metachris/logzero

logzero

1,031

76

26

Python

https://logzero.readthedocs.io

Robust and effective logging for Python 2 and 3.

metachris

2024-01-04

2017-06-12

346

2.978539

null

Robust and effective logging for Python 2 and 3.

['logfiles', 'logging', 'logzero']

2021-03-17

[('delgan/loguru', 0.7877286672592163, 'util', 1), ('alexmojaki/snoop', 0.601128876209259, 'debug', 1), ('salesforce/logai', 0.5321155786514282, 'util', 0)]

12

5

null

0

80

34

0

2

0

90

0

23

270

crypto

https://github.com/man-c/pycoingecko

[]

null

[]

null

man-c/pycoingecko

pycoingecko

1,008

262

31

Python

null

Python wrapper for the CoinGecko API

man-c

2024-01-12

2018-08-24

283

3.55466

null

Python wrapper for the CoinGecko API

['api', 'api-wrapper', 'coingecko', 'crypto', 'cryptocurrency', 'nft', 'nfts', 'wrapper']

2022-10-26

[('1200wd/bitcoinlib', 0.6038165092468262, 'crypto', 0), ('legrandin/pycryptodome', 0.5711352229118347, 'util', 0), ('pyca/cryptography', 0.5643881559371948, 'util', 0), ('ethereum/web3.py', 0.5624127388000488, 'crypto', 0), ('lukasschwab/arxiv.py', 0.5484018921852112, 'util', 0), ('ta-lib/ta-lib-python', 0.5362427234649658, 'finance', 0), ('pyca/pynacl', 0.5348667502403259, 'util', 0), ('openai/openai-python', 0.5335339307785034, 'util', 0), ('meilisearch/meilisearch-python', 0.5315601229667664, 'data', 1), ('bottlepy/bottle', 0.5294601917266846, 'web', 0), ('primal100/pybitcointools', 0.5288224220275879, 'crypto', 0), ('ccxt/ccxt', 0.5272769927978516, 'crypto', 3), ('cuemacro/findatapy', 0.5231452584266663, 'finance', 0), ('pytoolz/toolz', 0.5226123929023743, 'util', 0), ('masoniteframework/masonite', 0.5191899538040161, 'web', 0), ('simple-salesforce/simple-salesforce', 0.5065068602561951, 'data', 1)]

14

1

null

0

1

0

66

15

0

4

1

0

90

0

23

1,876

sim

https://github.com/hardmaru/estool

[]

null

[]

null

hardmaru/estool

estool

913

162

33

Jupyter Notebook

null

Evolution Strategies Tool

hardmaru

2024-01-04

2017-10-29

326

2.798161

null

Evolution Strategies Tool

[]

2022-01-20

[]

9

2

null

0

1

76

24

0

1

90

1

23

161

nlp

https://github.com/nipunsadvilkar/pysbd

[]

null

[]

null

nipunsadvilkar/pysbd

pySBD

690

76

13

Python

null

🐍💯pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.

nipunsadvilkar

2024-01-13

2017-06-11

346

1.992574

null

🐍💯pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.

['rule-based', 'segmentation', 'sentence', 'sentence-boundary-detection', 'sentence-tokenizer']

2021-02-11

[('pemistahl/lingua-py', 0.5244992971420288, 'nlp', 0)]

7

2

null

0

2

1

80

36

0

2

3

90

1.5

23

745

diffusion

https://github.com/sharonzhou/long_stable_diffusion

[]

null

[]

null

sharonzhou/long_stable_diffusion

long_stable_diffusion

671

55

16

Python

null

Long-form text-to-images generation, using a pipeline of deep generative models (GPT-3 and Stable Diffusion)

sharonzhou

2024-01-12

2022-09-04

73

9.155945

null

Long-form text-to-images generation, using a pipeline of deep generative models (GPT-3 and Stable Diffusion)

[]

2022-10-30

[('compvis/stable-diffusion', 0.6926607489585876, 'diffusion', 0), ('huggingface/diffusers', 0.6350945830345154, 'diffusion', 0), ('openai/glide-text2im', 0.6345992684364319, 'diffusion', 0), ('saharmor/dalle-playground', 0.6195039749145508, 'diffusion', 0), ('thudm/cogvideo', 0.6085971593856812, 'ml', 0), ('huggingface/text-generation-inference', 0.5840281844139099, 'llm', 0), ('compvis/latent-diffusion', 0.5753589272499084, 'diffusion', 0), ('stability-ai/stablediffusion', 0.5753588676452637, 'diffusion', 0), ('lucidrains/dalle2-pytorch', 0.5584306120872498, 'diffusion', 0), ('minimaxir/gpt-2-simple', 0.5567746758460999, 'llm', 0), ('google/sentencepiece', 0.5528421401977539, 'nlp', 0), ('lucidrains/deep-daze', 0.5463470220565796, 'ml', 0), ('yoadtew/zero-shot-image-to-text', 0.5378433465957642, 'nlp', 0), ('ashawkey/stable-dreamfusion', 0.5333707332611084, 'diffusion', 0), ('minimaxir/aitextgen', 0.5227047801017761, 'llm', 0), ('fourthbrain/fastapi-for-machine-learning-live-demo', 0.513484537601471, 'web', 0), ('lucidrains/imagen-pytorch', 0.5128797292709351, 'ml-dl', 0), ('nateraw/stable-diffusion-videos', 0.512672483921051, 'diffusion', 0), ('davidadsp/generative_deep_learning_2nd_edition', 0.5068796277046204, 'study', 0), ('nv-tlabs/get3d', 0.5064239501953125, 'ml', 0), ('google-research/electra', 0.5007908344268799, 'ml-dl', 0)]

2

1

null

0

17

15

0

90

0

23

969

diffusion

https://github.com/tanelp/tiny-diffusion

[]

null

[]

null

tanelp/tiny-diffusion

tiny-diffusion

483

43

8

Jupyter Notebook

null

A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.

tanelp

2024-01-12

2023-01-13

54

8.850785

null

A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.

[]

2023-02-19

[('divamgupta/stable-diffusion-tensorflow', 0.6014887690544128, 'diffusion', 0), ('huggingface/diffusers', 0.5994593501091003, 'diffusion', 0), ('openai/improved-diffusion', 0.5728610754013062, 'diffusion', 0), ('pytorch/botorch', 0.5327487587928772, 'ml-dl', 0), ('comfyanonymous/comfyui', 0.5260990858078003, 'diffusion', 0), ('openai/point-e', 0.5226495265960693, 'util', 0), ('carson-katri/dream-textures', 0.5146340727806091, 'diffusion', 0), ('bentoml/onediffusion', 0.5116053223609924, 'diffusion', 0)]

1

0

null

0.06

3

0

12

11

0

3

2

90

0.7

23

1,374

llm

https://github.com/amazon-science/alexa-teacher-models

['aws', 'language-model', 'sagemaker']

AlexaTM 20B is a 20B-Parameter sequence-to-sequence transformer model

[]

null

amazon-science/alexa-teacher-models

alexa-teacher-models

362

26

36

Python

null

amazon-science

2024-01-04

2022-08-04

77

4.658088

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

AlexaTM 20B is a 20B-Parameter sequence-to-sequence transformer model

[]

['aws', 'language-model', 'sagemaker']

2023-04-09

[]

5

2

null

0.15

0

18

9

2

1

2

0

90

0

23

862

ml

https://github.com/infer-actively/pymdp

[]

null

[]

null

infer-actively/pymdp

pymdp

347

56

30

Python

null

A Python implementation of active inference for Markov Decision Processes

infer-actively

2024-01-11

2019-11-27

217

1.592787

https://avatars.githubusercontent.com/u/75545318?v=4

A Python implementation of active inference for Markov Decision Processes

[]

2023-08-19

[('pymc-devs/pymc3', 0.5866931080818176, 'ml', 0), ('shangtongzhang/reinforcement-learning-an-introduction', 0.5399729013442993, 'study', 0), ('guyallard/markov_clustering', 0.5361882448196411, 'graph', 0), ('artemyk/dynpy', 0.5208140015602112, 'sim', 0)]

14

2

null

0.33

4

2

50

5

1

4

2

90

0.5

23

1,301

data

https://github.com/mattbierbaum/arxiv-public-datasets

[]

null

[]

null

mattbierbaum/arxiv-public-datasets

arxiv-public-datasets

338

55

15

Python

https://arxiv.org/abs/1905.00075

A set of scripts to grab public datasets from resources related to arXiv

mattbierbaum

2024-01-11

2019-01-29

261

1.295019

null

A set of scripts to grab public datasets from resources related to arXiv

[]

2022-07-15

[('mcordts/cityscapesscripts', 0.5378220677375793, 'gis', 0), ('jovianml/opendatasets', 0.5266126990318298, 'data', 0), ('lukasschwab/arxiv.py', 0.5195563435554504, 'util', 0), ('simonw/datasette', 0.5164351463317871, 'data', 0)]

9

3

null

0

2

60

18

0

1

2

4

90

2

23

991

finance

https://github.com/nasdaq/data-link-python

[]

null

[]

null

nasdaq/data-link-python

data-link-python

333

59

10

Python

null

A Python library for Nasdaq Data Link's RESTful API

nasdaq

2024-01-05

2021-11-02

117

2.846154

https://avatars.githubusercontent.com/u/13860626?v=4

A Python library for Nasdaq Data Link's RESTful API

[]

2022-08-29

[('pynamodb/pynamodb', 0.5948277711868286, 'data', 0), ('hydrosquall/tiingo-python', 0.5673314332962036, 'finance', 0), ('tiangolo/sqlmodel', 0.5559763312339783, 'data', 0), ('falconry/falcon', 0.5472946763038635, 'web', 0), ('simple-salesforce/simple-salesforce', 0.5415635704994202, 'data', 0), ('cuemacro/findatapy', 0.538777232170105, 'finance', 0), ('airbnb/omniduct', 0.5350242853164673, 'data', 0), ('mcfunley/pugsql', 0.5342159867286682, 'data', 0), ('datastax/python-driver', 0.5312590599060059, 'data', 0), ('awslabs/python-deequ', 0.5292037725448608, 'ml', 0), ('openaddresses/pyesridump', 0.5270365476608276, 'gis', 0), ('openai/openai-python', 0.5095574855804443, 'util', 0), ('sqlalchemy/sqlalchemy', 0.5085864067077637, 'data', 0), ('encode/httpx', 0.5050049424171448, 'web', 0), ('ethereum/web3.py', 0.5034674406051636, 'crypto', 0), ('taverntesting/tavern', 0.5025106072425842, 'testing', 0)]

4

1

null

0

3

0

27

17

0

2

3

6

90

2

23

1,461

jupyter

https://github.com/mamba-org/gator

['conda', 'packages']

null

[]

null

mamba-org/gator

gator

252

29

6

TypeScript

null

Conda environment and package management extension from within Jupyter

mamba-org

2024-01-04

2018-08-02

286

0.878924

https://avatars.githubusercontent.com/u/66118895?v=4

Conda environment and package management extension from within Jupyter

['conda', 'jupyter-notebook', 'jupyterlab-extension']

['conda', 'jupyter-notebook', 'jupyterlab-extension', 'packages']

2023-10-26

[('conda/conda-pack', 0.6601476073265076, 'util', 1), ('conda/conda-build', 0.6426661014556885, 'util', 1), ('jupyter-widgets/ipywidgets', 0.6345846056938171, 'jupyter', 1), ('jupyterlab/jupyterlab', 0.6041745543479919, 'jupyter', 0), ('chaoleili/jupyterlab_tensorboard', 0.5936612486839294, 'jupyter', 1), ('jupyter/notebook', 0.5904126763343811, 'jupyter', 1), ('mamba-org/quetz', 0.5806750655174255, 'util', 2), ('conda/constructor', 0.5621293783187866, 'util', 1), ('jupyterlab/jupyterlab-desktop', 0.5549662709236145, 'jupyter', 1), ('pypa/flit', 0.5534806847572327, 'util', 0), ('jupyterlite/jupyterlite', 0.5473883152008057, 'jupyter', 1), ('voila-dashboards/voila', 0.5456347465515137, 'jupyter', 2), ('aws/graph-notebook', 0.5385718941688538, 'jupyter', 1), ('pypa/hatch', 0.5378934741020203, 'util', 0), ('mwouts/jupytext', 0.5371402502059937, 'jupyter', 2), ('indygreg/pyoxidizer', 0.5344242453575134, 'util', 0), ('mitsuhiko/rye', 0.5343549847602844, 'util', 0), ('mamba-org/boa', 0.5324650406837463, 'util', 1), ('jupyter/nbformat', 0.5302620530128479, 'jupyter', 0), ('python-poetry/poetry', 0.5295340418815613, 'util', 0), ('ipython/ipykernel', 0.5081201791763306, 'util', 1), ('mamba-org/mamba', 0.5042513012886047, 'util', 1)]

26

4

null

0.13

12

7

66

3

1

11

1

12

3

90

0.2

23

829

gis

https://github.com/r-barnes/richdem

[]

null

[]

null

r-barnes/richdem

richdem

234

62

14

C++

null

High-performance Terrain and Hydrology Analysis

r-barnes

2024-01-03

2013-01-06

577

0.405345

null

High-performance Terrain and Hydrology Analysis

['big-data', 'digital-elevation-model', 'geosciences', 'geospatial', 'hydrologic-modeling', 'hydrology']

2023-07-06

[('fatiando/verde', 0.5110668540000916, 'gis', 1), ('osgeo/grass', 0.5100005269050598, 'gis', 1)]

4

3

null

0.21

6

0

134

6

0

2

6

15

90

2.5

23

1,338

util

https://github.com/prefecthq/server

[]

null

[]

null

prefecthq/server

server

223

98

16

Python

null

The Prefect API and backend

prefecthq

2024-01-14

2020-07-29

182

1.219531

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

The Prefect API and backend

['automation', 'orchestration', 'prefect', 'workflow', 'workflow-engine']

2023-06-23

[('prefecthq/prefect', 0.7347409129142761, 'ml-ops', 5), ('kestra-io/kestra', 0.6529881954193115, 'ml-ops', 3), ('flyteorg/flyte', 0.6038605570793152, 'ml-ops', 1), ('avaiga/taipy', 0.5884959697723389, 'data', 3), ('apache/airflow', 0.5666928291320801, 'ml-ops', 4), ('tiangolo/full-stack-fastapi-postgresql', 0.5580776333808899, 'template', 0), ('zenml-io/zenml', 0.5477404594421387, 'ml-ops', 1), ('astronomer/astro-sdk', 0.5464804768562317, 'ml-ops', 0), ('dagster-io/dagster', 0.5430384278297424, 'ml-ops', 2), ('vitalik/django-ninja', 0.5366072654724121, 'web', 0), ('piccolo-orm/piccolo_admin', 0.5307790040969849, 'data', 0), ('tiangolo/fastapi', 0.5276178121566772, 'web', 0), ('fastai/ghapi', 0.5246346592903137, 'util', 0), ('mage-ai/mage-ai', 0.5205321311950684, 'ml-ops', 1), ('willmcgugan/textual', 0.5155190229415894, 'term', 0), ('cheshire-cat-ai/core', 0.5153402090072632, 'llm', 0), ('home-assistant/supervisor', 0.5141927599906921, 'util', 0), ('hugapi/hug', 0.5119301676750183, 'util', 0), ('starlite-api/starlite', 0.5044628381729126, 'web', 0), ('numerai/numerai-cli', 0.5039493441581726, 'finance', 0), ('orchest/orchest', 0.5037789344787598, 'ml-ops', 0), ('pythagora-io/gpt-pilot', 0.500454843044281, 'llm', 0), ('ploomber/ploomber', 0.5003852248191833, 'ml-ops', 1)]

48

4

null

0.06

0

42

7

0

14

0

90

0

23

1,609

llm

https://github.com/hazyresearch/legalbench

['benchmark', 'legal']

null

[]

null

hazyresearch/legalbench

legalbench

220

23

40

Python

null

An open science effort to benchmark legal reasoning in foundation models

hazyresearch

2024-01-14

2022-08-19

75

2.911153

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

An open science effort to benchmark legal reasoning in foundation models

[]

['benchmark', 'legal']

2023-12-02

[('coastalcph/lex-glue', 0.5063652992248535, 'nlp', 2)]

4

1

null

1.46

3

1

17

1

0

3

2

90

0.7

23

1,694

util

https://github.com/regebro/pyroma

['quality']

null

[]

null

regebro/pyroma

pyroma

201

24

7

Python

null

Rate your Python packages package friendliness

regebro

2023-12-11

2017-04-15

354

0.56711

null

Rate your Python packages package friendliness

['packaging']

['packaging', 'quality']

2023-10-10

[('pypa/flit', 0.7084984183311462, 'util', 1), ('indygreg/pyoxidizer', 0.7064893245697021, 'util', 1), ('python-poetry/poetry', 0.6802058219909668, 'util', 1), ('mitsuhiko/rye', 0.661931574344635, 'util', 1), ('pypi/warehouse', 0.6017106771469116, 'util', 0), ('tezromach/python-package-template', 0.5707094073295593, 'template', 0), ('pdm-project/pdm', 0.568504810333252, 'util', 1), ('pyodide/micropip', 0.5652766227722168, 'util', 0), ('pypa/hatch', 0.5634012818336487, 'util', 1), ('rubik/radon', 0.5549668669700623, 'util', 0)]

21

6

null

0.15

1

0

82

3

0

7

1

0

90

0

23

1,771

sim

https://github.com/humanoidagents/humanoidagents

['simulation', 'chatgpt', 'agents', 'language-model']

null

[]

null

humanoidagents/humanoidagents

HumanoidAgents

197

20

5

Python

http://www.humanoidagents.com/

Humanoid Agents: Platform for Simulating Human-like Generative Agents

humanoidagents

2024-01-14

2023-10-09

16

12.20354

https://avatars.githubusercontent.com/u/147342724?v=4

Humanoid Agents: Platform for Simulating Human-like Generative Agents

[]

['agents', 'chatgpt', 'language-model', 'simulation']

2023-10-19

[('google-deepmind/concordia', 0.640636682510376, 'sim', 0), ('minedojo/voyager', 0.56615149974823, 'llm', 0), ('prefecthq/marvin', 0.5612106919288635, 'nlp', 1), ('microsoft/autogen', 0.5427013039588928, 'llm', 1), ('aiwaves-cn/agents', 0.5400265455245972, 'nlp', 1), ('projectmesa/mesa', 0.5313592553138733, 'sim', 1), ('facebookresearch/droidlet', 0.5291570425033569, 'sim', 0), ('facebookresearch/habitat-lab', 0.5243606567382812, 'sim', 0), ('krohling/bondai', 0.5202670693397522, 'llm', 1), ('microsoft/chatgpt-robot-manipulation-prompts', 0.5163865685462952, 'llm', 0), ('microsoft/promptcraft-robotics', 0.51203453540802, 'sim', 2), ('mnotgod96/appagent', 0.5099534392356873, 'llm', 1), ('activitysim/populationsim', 0.5014925003051758, 'sim', 0), ('noahshinn/reflexion', 0.5013625621795654, 'llm', 0)]

1

0

null

0.12

2

1

3

0

2

0

90

0

23

768

sim

https://github.com/activitysim/activitysim

[]

null

[]

null

activitysim/activitysim

activitysim

176

92

44

Jupyter Notebook

https://activitysim.github.io

An Open Platform for Activity-Based Travel Modeling

activitysim

2024-01-03

2014-06-18

501

0.350697

https://avatars.githubusercontent.com/u/25851945?v=4

An Open Platform for Activity-Based Travel Modeling

['activitysim', 'bsd-3-clause', 'data-science', 'microsimulation', 'travel-modeling']

2023-05-09

[]

32

4

null

0.23

41

9

117

8

3

2

3

41

22

90

0.5

23

828

typing

https://github.com/jellezijlstra/autotyping

[]

null

[]

null

jellezijlstra/autotyping

autotyping

175

12

5

Python

null

jellezijlstra

2024-01-04

2021-06-25

135

1.290832

null

jellezijlstra/autotyping

[]

2023-03-28

[]

8

6

null

0.08

1

0

31

10

2

1

90

1

23

1,664

util

https://github.com/python-poetry/install.python-poetry.org

[]

null

[]

null

python-poetry/install.python-poetry.org

install.python-poetry.org

157

50

8

Python

https://install.python-poetry.org

The official Poetry installation script

python-poetry

2024-01-09

2021-11-12

115

1.358467

https://avatars.githubusercontent.com/u/48722593?v=4

The official Poetry installation script

['poetry']

2023-09-19

[('snok/install-poetry', 0.6302388310432434, 'util', 0), ('tiangolo/poetry-version-plugin', 0.5517739653587341, 'util', 0), ('mtkennerly/poetry-dynamic-versioning', 0.5113168358802795, 'util', 1)]

17

2

null

0.27

13

6

26

4

0

13

21

90

1.6

23

1,415

llm

https://github.com/yueyu1030/attrprompt

[]

null

[]

null

yueyu1030/attrprompt

AttrPrompt

107

7

3

Python

https://arxiv.org/abs/2306.15895

[NeurIPS 2023] This is the code for the paper `Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias`.

yueyu1030

2024-01-12

2023-05-31

34

3.069672

null

[NeurIPS 2023] This is the code for the paper `Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias`.

['attributed-text', 'data-centric-ai', 'large-language-models', 'natural-language-processing', 'pretrained-language-model', 'text-classification', 'training-data-generation', 'zero-shot-learning']

2023-11-02

[('togethercomputer/redpajama-data', 0.6486657857894897, 'llm', 0), ('baichuan-inc/baichuan-13b', 0.6001567840576172, 'llm', 2), ('eleutherai/the-pile', 0.5999411940574646, 'data', 0), ('huggingface/text-generation-inference', 0.5905746221542358, 'llm', 0), ('facebookresearch/shepherd', 0.572687566280365, 'llm', 0), ('microsoft/unilm', 0.5726070404052734, 'nlp', 0), ('openai/gpt-2', 0.5717838406562805, 'llm', 0), ('princeton-nlp/alce', 0.5694684982299805, 'llm', 0), ('lm-sys/fastchat', 0.5685467720031738, 'llm', 0), ('microsoft/lora', 0.5668091177940369, 'llm', 0), ('hannibal046/awesome-llm', 0.5640091896057129, 'study', 0), ('databrickslabs/dolly', 0.5601263642311096, 'llm', 0), ('lupantech/chameleon-llm', 0.5579221248626709, 'llm', 0), ('infinitylogesh/mutate', 0.5573945045471191, 'nlp', 0), ('lianjiatech/belle', 0.5536043047904968, 'llm', 0), ('google-research/electra', 0.5535896420478821, 'ml-dl', 0), ('openai/finetune-transformer-lm', 0.5512840747833252, 'llm', 0), ('tatsu-lab/stanford_alpaca', 0.5511519312858582, 'llm', 0), ('explosion/spacy-models', 0.5483715534210205, 'nlp', 1), ('minimaxir/textgenrnn', 0.545197069644928, 'nlp', 0), ('openai/clip', 0.5419546961784363, 'ml-dl', 0), ('jonasgeiping/cramming', 0.5370364189147949, 'nlp', 0), ('eleutherai/lm-evaluation-harness', 0.5361191034317017, 'llm', 0), ('alibaba/easynlp', 0.5339798331260681, 'nlp', 1), ('google-research/language', 0.5311223864555359, 'nlp', 1), ('reasoning-machines/pal', 0.5289052128791809, 'llm', 1), ('next-gpt/next-gpt', 0.5283357501029968, 'llm', 1), ('openlm-research/open_llama', 0.5280580520629883, 'llm', 0), ('freedomintelligence/llmzoo', 0.5263165831565857, 'llm', 0), ('bigscience-workshop/biomedical', 0.5249584317207336, 'data', 0), ('nltk/nltk', 0.5240321755409241, 'nlp', 1), ('eureka-research/eureka', 0.522046685218811, 'ml-rl', 0), ('ai21labs/lm-evaluation', 0.5179035067558289, 'llm', 0), ('llmware-ai/llmware', 0.5132665038108826, 'llm', 1), ('ofa-sys/ofa', 0.5103440284729004, 'llm', 0), ('openlmlab/moss', 0.5103434920310974, 'llm', 2), ('thudm/codegeex', 0.510209858417511, 'llm', 0), ('deepset-ai/farm', 0.5037703514099121, 'nlp', 0), ('microsoft/autogen', 0.5033207535743713, 'llm', 0), ('prithivirajdamodaran/styleformer', 0.5027515292167664, 'nlp', 0), ('norskregnesentral/skweak', 0.5007184743881226, 'nlp', 1)]

3

2

null

0.44

4

8

2

0

4

3

90

0.8

23

1,339

ml-ops

https://github.com/prefecthq/prefect-dbt

[]

null

[]

null

prefecthq/prefect-dbt

prefect-dbt

77

8

Python

https://prefecthq.github.io/prefect-dbt/

Collection of Prefect integrations for working with dbt with your Prefect flows.

prefecthq

2024-01-04

2022-05-26

87

0.87785

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

Collection of Prefect integrations for working with dbt with your Prefect flows.

['dbt', 'prefect']

2023-11-02

[('prefecthq/prefect', 0.5904790759086609, 'ml-ops', 1), ('prefecthq/prefect-aws', 0.512976348400116, 'data', 1)]

14

4

null

0.5

11

4

20

2

4

8

4

11

2

90

0.2

23

1,661

data

https://github.com/mediawiki-client-tools/mediawiki-dump-generator

['wikimedia', 'wikipedia']

null

[]

null

mediawiki-client-tools/mediawiki-dump-generator

mediawiki-dump-generator

68

14

5

HTML

https://github.com/mediawiki-client-tools/mediawiki-scraper

Python 3 tools for downloading and preserving wikis

mediawiki-client-tools

2024-01-12

2021-05-27

139

0.486708

https://avatars.githubusercontent.com/u/122663498?v=4

Python 3 tools for downloading and preserving wikis

[]

['wikimedia', 'wikipedia']

2023-12-18

[('mediawiki-client-tools/wikitools3', 0.8232905268669128, 'data', 2), ('goldsmith/wikipedia', 0.709117591381073, 'data', 0), ('harangju/wikinet', 0.6572245359420776, 'data', 0), ('executablebooks/jupyter-book', 0.535974383354187, 'jupyter', 0), ('erotemic/ubelt', 0.5286123752593994, 'util', 0)]

44

3

null

1.94

33

22

32

1

0

33

19

90

0.6

23

913

util

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

[]

null

[]

null

python-odin/odin

odin

35

9

3

Python

https://odin.readthedocs.org/en/latest/

Data-structure definition/validation/traversal, mapping and serialisation toolkit for Python

python-odin

2023-11-27

2013-08-20

545

0.06422

https://avatars.githubusercontent.com/u/14675500?v=4

Data-structure definition/validation/traversal, mapping and serialisation toolkit for Python

['csv', 'data-mapping', 'data-structures', 'de-serialize', 'json', 'msgpack', 'serialize', 'validation', 'xml', 'yaml']

2024-01-13

[('marshmallow-code/marshmallow', 0.6529213190078735, 'util', 1), ('pydantic/pydantic', 0.6526608467102051, 'util', 1), ('pandas-dev/pandas', 0.6475261449813843, 'pandas', 0), ('dagworks-inc/hamilton', 0.6443514227867126, 'ml-ops', 0), ('pylons/colander', 0.63074791431427, 'util', 1), ('jsonpickle/jsonpickle', 0.6082868576049805, 'data', 1), ('pyeve/cerberus', 0.6078689098358154, 'data', 0), ('keon/algorithms', 0.6064568161964417, 'util', 0), ('omry/omegaconf', 0.5967031121253967, 'util', 1), ('mkdocstrings/griffe', 0.5799145102500916, 'util', 0), ('lk-geimfari/mimesis', 0.5751269459724426, 'data', 1), ('yukinarit/pyserde', 0.5727947354316711, 'util', 3), ('tiangolo/sqlmodel', 0.5694354176521301, 'data', 1), ('instagram/libcst', 0.5643008351325989, 'util', 0), ('pytoolz/toolz', 0.563791811466217, 'util', 0), ('unionai-oss/pandera', 0.5636017322540283, 'pandas', 1), ('jazzband/tablib', 0.5585665106773376, 'data', 0), ('saulpw/visidata', 0.5557106137275696, 'term', 2), ('plotly/dash', 0.5536272525787354, 'viz', 0), ('fabiocaccamo/python-benedict', 0.5445603728294373, 'util', 4), ('eleutherai/pyfra', 0.5400282144546509, 'ml', 0), ('krzjoa/awesome-python-data-science', 0.5375770330429077, 'study', 0), ('falconry/falcon', 0.5320534706115723, 'web', 0), ('wesm/pydata-book', 0.5320025682449341, 'study', 0), ('malloydata/malloy-py', 0.5316958427429199, 'data', 0), ('roniemartinez/dude', 0.5273708701133728, 'util', 0), ('imageio/imageio', 0.5272129774093628, 'util', 0), ('ploomber/ploomber', 0.5260776877403259, 'ml-ops', 0), ('facebook/pyre-check', 0.5255442261695862, 'typing', 0), ('man-group/dtale', 0.5247855186462402, 'viz', 0), ('atsushisakai/pythonrobotics', 0.5244603753089905, 'sim', 0), ('amaargiru/pyroad', 0.5243930220603943, 'study', 0), ('scikit-mobility/scikit-mobility', 0.5235087275505066, 'gis', 0), ('1200wd/bitcoinlib', 0.5217608213424683, 'crypto', 0), ('fastai/fastcore', 0.5195226669311523, 'util', 1), ('kellyjonbrazil/jc', 0.5191496014595032, 'util', 3), ('uqfoundation/dill', 0.5188406705856323, 'data', 0), ('rhettbull/osxphotos', 0.5156180262565613, 'util', 0), ('brokenloop/jsontopydantic', 0.5140889286994934, 'util', 0), ('geopandas/geopandas', 0.5138459801673889, 'gis', 0), ('aswinnnn/pyscan', 0.5133723616600037, 'security', 0), ('fsspec/filesystem_spec', 0.5112189054489136, 'util', 0), ('pyjanitor-devs/pyjanitor', 0.51002436876297, 'pandas', 0), ('crunch-io/lazycsv', 0.5088388323783875, 'perf', 1), ('erotemic/ubelt', 0.5053083896636963, 'util', 0), ('macbre/sql-metadata', 0.5047857761383057, 'data', 0), ('simonw/datasette', 0.5009411573410034, 'data', 2), ('mitmproxy/pdoc', 0.5004577040672302, 'util', 0)]

8

3

null

1.6

6

3

127

0

10

7

10

6

1

90

0.2

23

1,284

data

https://github.com/qdrant/qdrant-haystack

['haystack']

null

[]

null

qdrant/qdrant-haystack

qdrant-haystack

35

9

3

Python

null

An integration of Qdrant ANN vector database backend with Haystack

qdrant

2023-11-28

2023-01-31

52

0.673077

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

An integration of Qdrant ANN vector database backend with Haystack

[]

['haystack']

2023-11-14

[('qdrant/qdrant-client', 0.6654171943664551, 'util', 0), ('qdrant/vector-db-benchmark', 0.5743999481201172, 'perf', 0), ('qdrant/qdrant', 0.5697789788246155, 'data', 0), ('facebookresearch/faiss', 0.518367350101471, 'ml', 0), ('pinecone-io/pinecone-python-client', 0.5180879831314087, 'data', 0), ('jina-ai/vectordb', 0.5077526569366455, 'data', 0)]

6

4

null

1.13

13

4

12

2

15

16

15

13

6

90

0.5

23

1,762

term

https://github.com/tconbeer/textual-textarea

['textual']

null

[]

null

tconbeer/textual-textarea

textual-textarea

10

3

1

Python

null

A text area (multi-line input) with syntax highlighting and autocomplete for Textual

tconbeer

2023-12-25

2023-05-19

36

0.273438

null

A text area (multi-line input) with syntax highlighting and autocomplete for Textual

[]

['textual']

2024-01-12

[]

4

2

null

2.46

67

59

8

0

30

46

30

67

32

90

0.5

23

1,536

study

https://github.com/gerdm/prml

[]

null

[]

null

gerdm/prml

prml

1,635

410

32

Jupyter Notebook

null

Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop

gerdm

2024-01-13

2018-11-23

270

6.042767

null

Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop

['bayesian-statistics', 'machine-learning', 'pattern-recognition', 'prml']

2022-07-25

[('probml/pyprobml', 0.6533145308494568, 'ml', 1), ('brandon-rhodes/python-patterns', 0.5963156819343567, 'util', 0), ('bayesianmodelingandcomputationinpython/bookcode_edition1', 0.5888375639915466, 'study', 0), ('fchollet/deep-learning-with-python-notebooks', 0.5584812760353088, 'study', 0), ('ageron/handson-ml2', 0.5364505648612976, 'ml', 0), ('mynameisfiber/high_performance_python_2e', 0.5304524302482605, 'study', 0), ('rasbt/mlxtend', 0.5303501486778259, 'ml', 1), ('wesm/pydata-book', 0.5239573121070862, 'study', 0), ('pymc-devs/pymc3', 0.5029430985450745, 'ml', 0), ('scikit-learn/scikit-learn', 0.5011841058731079, 'ml', 1)]

3

1

null

0

63

18

0

90

0

22

1,012

finance

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

[]

null

[]

null

quandl/quandl-python

quandl-python

1,343

391

131

Python

null

quandl

2024-01-09

2013-03-24

566

2.371594

https://avatars.githubusercontent.com/u/1659378?v=4

quandl/quandl-python

['api-client', 'data-frame', 'dataset', 'quandl', 'retrieve-data']

2021-12-08

[('cuemacro/findatapy', 0.5631470084190369, 'finance', 1)]

36

2

null

0

132

26

0

2

0

90

0

22

593

data

https://github.com/uber/fiber

[]

null

[]

null

uber/fiber

fiber

1,041

117

21

Python

https://uber.github.io/fiber/

Distributed Computing for AI Made Simple

uber

2024-01-14

2020-01-07

212

4.910377

https://avatars.githubusercontent.com/u/538264?v=4

Distributed Computing for AI Made Simple

['distributed-computing', 'machine-learning', 'multiprocessing', 'sandbox']

2021-03-15

[('paddlepaddle/paddle', 0.69061678647995, 'ml-dl', 1), ('horovod/horovod', 0.6222132444381714, 'ml-ops', 1), ('alpa-projects/alpa', 0.5923050045967102, 'ml-dl', 2), ('ray-project/ray', 0.5900027751922607, 'ml-ops', 1), ('tensorflow/tensorflow', 0.5713419914245605, 'ml-dl', 1), ('hpcaitech/colossalai', 0.5713132619857788, 'llm', 1), ('determined-ai/determined', 0.5588817596435547, 'ml-ops', 1), ('jina-ai/jina', 0.5508025884628296, 'ml', 1), ('merantix-momentum/squirrel-core', 0.5499705672264099, 'ml', 1), ('bentoml/bentoml', 0.5481660962104797, 'ml-ops', 1), ('eventual-inc/daft', 0.5396055579185486, 'pandas', 2), ('mlflow/mlflow', 0.5344669818878174, 'ml-ops', 1), ('optuna/optuna', 0.5304052233695984, 'ml', 1), ('mlc-ai/mlc-llm', 0.522170901298523, 'llm', 0), ('fugue-project/fugue', 0.5197455883026123, 'pandas', 2), ('googlecloudplatform/vertex-ai-samples', 0.5184296369552612, 'ml', 0), ('nevronai/metisfl', 0.5169682502746582, 'ml', 1), ('pytorchlightning/pytorch-lightning', 0.512328028678894, 'ml-dl', 1), ('operand/agency', 0.5117772817611694, 'llm', 1), ('polyaxon/polyaxon', 0.5087381601333618, 'ml-ops', 1), ('backtick-se/cowait', 0.5072715282440186, 'util', 0), ('adap/flower', 0.505595326423645, 'ml-ops', 1), ('ml-tooling/opyrator', 0.5049328804016113, 'viz', 1), ('skypilot-org/skypilot', 0.5006906390190125, 'llm', 1)]

5

3

null

0

49

34

0

90

0

22

1,693

util

https://github.com/getsentry/milksnake

['setuptools']

null

[]

null

getsentry/milksnake

milksnake

784

36

23

Python

null

A setuptools/wheel/cffi extension to embed a binary data in wheels

getsentry

2024-01-12

2017-10-03

330

2.375758

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

A setuptools/wheel/cffi extension to embed a binary data in wheels

['tag-production']

['setuptools', 'tag-production']

2023-04-11

[('pypa/installer', 0.5740995407104492, 'util', 0)]

8

3

null

0.02

0

76

9

0

1

0

90

0

22

299

nlp

https://github.com/openai/grade-school-math

['word-problem', 'math', 'dataset']

GSM8K, a dataset of 8.5K high quality linguistically diverse grade school math word problems

[]

null

openai/grade-school-math

grade-school-math

744

121

11

Python

null

openai

2024-01-14

2021-10-20

118

6.259615

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

GSM8K, a dataset of 8.5K high quality linguistically diverse grade school math word problems

[]

['dataset', 'math', 'word-problem']

2021-11-19

[]

2

1

null

0

10

2

27

26

0

10

2

90

0.2

22

258

crypto

https://github.com/pmaji/crypto-whale-watching-app

[]

null

[]

null

pmaji/crypto-whale-watching-app

crypto-whale-watching-app

590

142

47

Python

null

Python Dash app that tracks whale activity in cryptocurrency markets.

pmaji

2024-01-12

2018-01-23

314

1.878981

null

Python Dash app that tracks whale activity in cryptocurrency markets.

['bitcoin', 'bitcoin-api', 'bitcoin-price', 'cryptocurrency', 'cryptocurrency-exchanges', 'cryptocurrency-price-ticker', 'cryptocurrency-prices', 'dash', 'ethereum', 'ethereum-blockchain', 'ethereum-price', 'gdax', 'gdax-api', 'gdax-python', 'litecoin', 'litecoin-price', 'plotly', 'plotly-dash']

2023-08-09

[('1200wd/bitcoinlib', 0.6108453869819641, 'crypto', 3), ('plotly/dash', 0.5946712493896484, 'viz', 3), ('gbeced/basana', 0.553300142288208, 'finance', 1), ('ethereum/web3.py', 0.5342921614646912, 'crypto', 0), ('ccxt/ccxt', 0.5305103063583374, 'crypto', 3), ('primal100/pybitcointools', 0.5292482972145081, 'crypto', 0), ('hydrosquall/tiingo-python', 0.5264788269996643, 'finance', 0), ('bmoscon/cryptofeed', 0.5131617188453674, 'crypto', 3), ('holoviz/panel', 0.5126122236251831, 'viz', 1)]

8

1

null

0.06

3

1

73

5

0

3

90

1

22

189

math

https://github.com/dit/dit

[]

null

[]

null

dit/dit

dit

474

83

25

Python

http://docs.dit.io

Python package for information theory.

dit

2024-01-09

2013-09-29

539

0.87894

https://avatars.githubusercontent.com/u/3247210?v=4

Python package for information theory.

['information-theory']

2023-08-30

[('goldsmith/wikipedia', 0.525985062122345, 'data', 0), ('pytoolz/toolz', 0.5121693015098572, 'util', 0), ('ta-lib/ta-lib-python', 0.5039918422698975, 'finance', 0), ('quantecon/quantecon.py', 0.5037375688552856, 'sim', 0)]

21

3

null

0.17

2

1

125

5

0

3

2

0

90

0

22

1,555

util

https://github.com/kellyjonbrazil/jello

['jq']

null

[]

null

kellyjonbrazil/jello

jello

442

19

11

Python

null

CLI tool to filter JSON and JSON Lines data with Python syntax. (Similar to jq)

kellyjonbrazil

2024-01-14

2020-03-22

201

2.195884

null

CLI tool to filter JSON and JSON Lines data with Python syntax. (Similar to jq)

['bash', 'bash-scripting', 'cli', 'command-line', 'command-line-interface', 'command-line-tool', 'filter', 'jq', 'json', 'json-lines', 'process', 'query', 'scripting', 'shell-scripting']

2023-04-29

[('kellyjonbrazil/jc', 0.7774760127067566, 'util', 10), ('kellyjonbrazil/jellex', 0.7509535551071167, 'term', 5), ('brokenloop/jsontopydantic', 0.5349708795547485, 'util', 0), ('google/python-fire', 0.5335484743118286, 'term', 1), ('scikit-hep/awkward-1.0', 0.5297543406486511, 'data', 1), ('tiangolo/sqlmodel', 0.5081574320793152, 'data', 1)]

2

1

null

0.33

1

46

9

2

10

2

1

90

1

22

573

jupyter

https://github.com/computationalmodelling/nbval

[]

null

[]

null

computationalmodelling/nbval

nbval

425

51

11

Python

null

A py.test plugin to validate Jupyter notebooks

computationalmodelling

2024-01-05

2015-04-09

459

0.924487

https://avatars.githubusercontent.com/u/11869420?v=4

A py.test plugin to validate Jupyter notebooks

['ipython-notebook', 'jupyter-notebook', 'pytest', 'pytest-plugin', 'testing']

2023-01-11

[('nteract/testbook', 0.764438271522522, 'jupyter', 2), ('jupyter/notebook', 0.671747624874115, 'jupyter', 1), ('teemu/pytest-sugar', 0.6413612365722656, 'testing', 3), ('ipython/ipykernel', 0.6354666948318481, 'util', 1), ('jupyter-widgets/ipywidgets', 0.6210037469863892, 'jupyter', 0), ('ionelmc/pytest-benchmark', 0.6038401126861572, 'testing', 1), ('pytest-dev/pytest-xdist', 0.5855597257614136, 'testing', 2), ('pytest-dev/pytest-asyncio', 0.5843405723571777, 'testing', 2), ('jupyter/nbformat', 0.5732461214065552, 'jupyter', 0), ('jupyterlab/jupyterlab-desktop', 0.5705468654632568, 'jupyter', 1), ('pytest-dev/pytest-cov', 0.5596536993980408, 'testing', 1), ('pytest-dev/pytest-mock', 0.5595971345901489, 'testing', 1), ('mwouts/jupytext', 0.5556824803352356, 'jupyter', 1), ('jupyterlab/jupyterlab', 0.5462405681610107, 'jupyter', 0), ('wolever/parameterized', 0.5427061319351196, 'testing', 0), ('ipython/ipyparallel', 0.5368309617042542, 'perf', 0), ('kiwicom/pytest-recording', 0.535578191280365, 'testing', 2), ('samuelcolvin/dirty-equals', 0.5271663665771484, 'util', 1), ('jupyterlite/jupyterlite', 0.5270730257034302, 'jupyter', 0), ('samuelcolvin/pytest-pretty', 0.5243958234786987, 'testing', 1), ('pypa/virtualenv', 0.523438036441803, 'util', 0), ('taverntesting/tavern', 0.5216328501701355, 'testing', 2), ('voila-dashboards/voila', 0.5194684267044067, 'jupyter', 1), ('jupyter/nbconvert', 0.5174958109855652, 'jupyter', 0), ('maartenbreddels/ipyvolume', 0.5154886841773987, 'jupyter', 1), ('pytest-dev/pytest', 0.5131306648254395, 'testing', 1), ('nbqa-dev/nbqa', 0.5108411312103271, 'jupyter', 1), ('jupyter/nbdime', 0.5095821022987366, 'jupyter', 1), ('fchollet/deep-learning-with-python-notebooks', 0.5067647099494934, 'study', 0)]

33

3

null

0

2

0

107

12

0

2

1

90

0.5

22

1,191

llm

https://github.com/reasoning-machines/pal

[]

null

[]

null

reasoning-machines/pal

pal

405

46

7

Python

https://reasonwithpal.com

PaL: Program-Aided Language Models (ICML 2023)

reasoning-machines

2024-01-11

2022-11-18

62

6.472603

https://avatars.githubusercontent.com/u/118758190?v=4

PaL: Program-Aided Language Models (ICML 2023)

['commonsense-reasoning', 'few-shot-learning', 'language-generation', 'language-model', 'large-language-models', 'reasoning']

2023-06-30

[('lupantech/chameleon-llm', 0.672268271446228, 'llm', 2), ('freedomintelligence/llmzoo', 0.6142875552177429, 'llm', 1), ('jonasgeiping/cramming', 0.6135402917861938, 'nlp', 1), ('juncongmoo/pyllama', 0.6026532053947449, 'llm', 0), ('hannibal046/awesome-llm', 0.5971046090126038, 'study', 1), ('ofa-sys/ofa', 0.5922104120254517, 'llm', 0), ('stanfordnlp/dspy', 0.5881893038749695, 'llm', 1), ('eleutherai/lm-evaluation-harness', 0.5877846479415894, 'llm', 1), ('srush/minichain', 0.5743135809898376, 'llm', 0), ('ctlllll/llm-toolmaker', 0.5670881867408752, 'llm', 1), ('guidance-ai/guidance', 0.5653203129768372, 'llm', 1), ('lianjiatech/belle', 0.5578760504722595, 'llm', 0), ('microsoft/autogen', 0.5551219582557678, 'llm', 0), ('openlmlab/moss', 0.5542696714401245, 'llm', 2), ('lm-sys/fastchat', 0.54938805103302, 'llm', 1), ('infinitylogesh/mutate', 0.5475483536720276, 'nlp', 1), ('ai21labs/lm-evaluation', 0.5380016565322876, 'llm', 1), ('kyegomez/tree-of-thoughts', 0.5376133918762207, 'llm', 0), ('nvlabs/prismer', 0.5364494323730469, 'diffusion', 1), ('next-gpt/next-gpt', 0.532139778137207, 'llm', 1), ('yueyu1030/attrprompt', 0.5289052128791809, 'llm', 1), ('tatsu-lab/stanford_alpaca', 0.5286970734596252, 'llm', 1), ('neulab/prompt2model', 0.5284048318862915, 'llm', 1), ('databrickslabs/dolly', 0.5263434052467346, 'llm', 0), ('llmware-ai/llmware', 0.5255475640296936, 'llm', 1), ('cg123/mergekit', 0.5245123505592346, 'llm', 0), ('young-geng/easylm', 0.5207021832466125, 'llm', 2), ('conceptofmind/toolformer', 0.5196791887283325, 'llm', 1), ('huggingface/text-generation-inference', 0.5183734893798828, 'llm', 0), ('salesforce/blip', 0.512751042842865, 'diffusion', 0), ('paddlepaddle/paddlenlp', 0.5125070214271545, 'llm', 0), ('eth-sri/lmql', 0.5124557018280029, 'llm', 1), ('optimalscale/lmflow', 0.5115619897842407, 'llm', 1), ('likenneth/honest_llama', 0.5100179314613342, 'llm', 1), ('eugeneyan/obsidian-copilot', 0.5085762739181519, 'llm', 1), ('keirp/automatic_prompt_engineer', 0.5067288279533386, 'llm', 1), ('aiwaves-cn/agents', 0.5023298263549805, 'nlp', 1), ('explosion/spacy-models', 0.5003161430358887, 'nlp', 0), ('facebookresearch/shepherd', 0.5001876950263977, 'llm', 1)]

4

1

null

0.08

0

14

7

0

90

0

22

1,044

data

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

[]

null

[]

null

ydataai/ydata-quality

ydata-quality

396

52

8

Jupyter Notebook

null

Data Quality assessment with one line of code

ydataai

2024-01-13

2021-06-24

135

2.917895

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

Data Quality assessment with one line of code

['data', 'machine-learning', 'pandas', 'quality-assessment']

2023-04-05

[('ydataai/ydata-profiling', 0.6654260754585266, 'pandas', 2), ('cleanlab/cleanlab', 0.583878219127655, 'ml', 0), ('koaning/doubtlab', 0.5491899251937866, 'data', 0), ('great-expectations/great_expectations', 0.5358034372329712, 'ml-ops', 0), ('unionai-oss/pandera', 0.5350058078765869, 'pandas', 1), ('rubik/radon', 0.5341893434524536, 'util', 0)]

10

2

null

0.02

12

0

31

9

1

5

1

12

1

90

0.1

22

159

jupyter

https://github.com/nteract/testbook

[]

null

[]

null

nteract/testbook

testbook

374

41

17

Python

https://testbook.readthedocs.io

🧪 📗 Unit test your Jupyter Notebooks the right way

nteract

2024-01-04

2020-02-26

204

1.825662

https://avatars.githubusercontent.com/u/12401040?v=4

🧪 📗 Unit test your Jupyter Notebooks the right way

['jupyter-notebook', 'nteract', 'pytest', 'testbook', 'unit-testing']

2022-11-29

[('computationalmodelling/nbval', 0.764438271522522, 'jupyter', 2), ('jupyter/notebook', 0.6220455765724182, 'jupyter', 1), ('jupyter/nbformat', 0.5974855422973633, 'jupyter', 0), ('samuelcolvin/dirty-equals', 0.5593006014823914, 'util', 2), ('jupyter/nbconvert', 0.5553418397903442, 'jupyter', 0), ('jupyterlab/jupyterlab', 0.5517867207527161, 'jupyter', 0), ('ionelmc/pytest-benchmark', 0.5495516061782837, 'testing', 1), ('ipython/ipykernel', 0.5405094623565674, 'util', 1), ('pytest-dev/pytest-mock', 0.5319708585739136, 'testing', 1), ('jupyterlab/jupyterlab-desktop', 0.5236980319023132, 'jupyter', 1), ('jupyter-widgets/ipywidgets', 0.5169227719306946, 'jupyter', 0)]

15

5

null

0

47

14

0

4

0

90

0

22

738

perf

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

[]

null

[]

null

blosc/python-blosc

python-blosc

337

117

15

Python

https://www.blosc.org/python-blosc/python-blosc.html

A Python wrapper for the extremely fast Blosc compression library

blosc

2024-01-12

2010-09-30

695

0.484394

https://avatars.githubusercontent.com/u/6469856?v=4

A Python wrapper for the extremely fast Blosc compression library

['blosc', 'compression', 'wrapper']

2023-05-01

[('zarr-developers/zarr-python', 0.5569503903388977, 'data', 0), ('ultrajson/ultrajson', 0.5216162204742432, 'perf', 0)]

44

8

null

0.06

1

0

162

9

0

4

1

0

90

0

22

276

data

https://github.com/airbnb/omniduct

[]

null

[]

null

airbnb/omniduct

omniduct

248

53

29

Python

null

A toolkit providing a uniform interface for connecting to and extracting data from a wide variety of (potentially remote) data stores (including HDFS, Hive, Presto, MySQL, etc).

airbnb

2023-11-14

2017-02-22

361

0.685353

https://avatars.githubusercontent.com/u/698437?v=4

A toolkit providing a uniform interface for connecting to and extracting data from a wide variety of (potentially remote) data stores (including HDFS, Hive, Presto, MySQL, etc).

[]

2023-11-01

[('airbytehq/airbyte', 0.6164752244949341, 'data', 0), ('simonw/datasette', 0.6034160256385803, 'data', 0), ('aws/aws-sdk-pandas', 0.5810672044754028, 'pandas', 0), ('intake/intake', 0.567048192024231, 'data', 0), ('meltano/meltano', 0.5620505213737488, 'ml-ops', 0), ('databricks/dbt-databricks', 0.5590947866439819, 'data', 0), ('saulpw/visidata', 0.5526487231254578, 'term', 0), ('nasdaq/data-link-python', 0.5350242853164673, 'finance', 0), ('pytables/pytables', 0.5307878851890564, 'data', 0), ('duckdb/dbt-duckdb', 0.5301816463470459, 'data', 0), ('fugue-project/fugue', 0.5275896787643433, 'pandas', 0), ('pynamodb/pynamodb', 0.5225140452384949, 'data', 0), ('hyperqueryhq/whale', 0.5135779976844788, 'data', 0), ('apache/spark', 0.5120821595191956, 'data', 0), ('databrickslabs/dbx', 0.5089248418807983, 'data', 0)]

12

5

null

0.04

9

1

84

2

1

11

1

9

2

90

0.2

22

1,228

util

https://github.com/jaraco/wolframalpha

[]

null

[]

null

jaraco/wolframalpha

wolframalpha

138

26

8

Python

null

jaraco

2024-01-12

2015-11-25

426

0.323293

null

jaraco/wolframalpha

[]

2023-12-26

[]

22

6

null

0.9

0

99

1

0

3

0

90

0

22

1,857

llm

https://github.com/fasteval/fasteval

['evaluation', 'benchmarks']

null

[]

null

fasteval/fasteval

FastEval

129

16

3

Python

https://fasteval.github.io/FastEval/

Fast & more realistic evaluation of chat language models. Includes leaderboard.

fasteval

2024-01-13

2023-05-07

38

3.369403

https://avatars.githubusercontent.com/u/141508208?v=4

Fast & more realistic evaluation of chat language models. Includes leaderboard.

['benchmark', 'evaluation', 'llm']

['benchmark', 'benchmarks', 'evaluation', 'llm']

2023-11-14

[('lm-sys/fastchat', 0.7203408479690552, 'llm', 1), ('nomic-ai/gpt4all', 0.6797701120376587, 'llm', 0), ('freedomintelligence/llmzoo', 0.6659313440322876, 'llm', 0), ('thudm/chatglm2-6b', 0.6485232710838318, 'llm', 1), ('rcgai/simplyretrieve', 0.6337692141532898, 'llm', 0), ('microsoft/autogen', 0.6213794350624084, 'llm', 0), ('embedchain/embedchain', 0.6101776957511902, 'llm', 1), ('run-llama/rags', 0.6045003533363342, 'llm', 1), ('young-geng/easylm', 0.6013676524162292, 'llm', 0), ('blinkdl/chatrwkv', 0.5970721244812012, 'llm', 0), ('ai21labs/lm-evaluation', 0.5941077470779419, 'llm', 0), ('intel/intel-extension-for-transformers', 0.5938782095909119, 'perf', 0), ('openlmlab/moss', 0.593492329120636, 'llm', 0), ('mlc-ai/web-llm', 0.5912193655967712, 'llm', 1), ('next-gpt/next-gpt', 0.57789546251297, 'llm', 1), ('databrickslabs/dolly', 0.5695880055427551, 'llm', 0), ('rasahq/rasa', 0.5695826411247253, 'llm', 0), ('li-plus/chatglm.cpp', 0.5682762265205383, 'llm', 0), ('chatarena/chatarena', 0.5657923221588135, 'llm', 0), ('gunthercox/chatterbot-corpus', 0.5639832019805908, 'nlp', 0), ('hwchase17/langchain', 0.5635910630226135, 'llm', 0), ('minimaxir/simpleaichat', 0.559170663356781, 'llm', 0), ('deepset-ai/haystack', 0.5561326742172241, 'llm', 0), ('confident-ai/deepeval', 0.5521769523620605, 'testing', 2), ('nvidia/nemo', 0.5468846559524536, 'nlp', 0), ('deeppavlov/deeppavlov', 0.5457442402839661, 'nlp', 0), ('cheshire-cat-ai/core', 0.5404486060142517, 'llm', 1), ('openlmlab/leval', 0.5392605662345886, 'llm', 1), ('hiyouga/llama-factory', 0.5391845107078552, 'llm', 1), ('hiyouga/llama-efficient-tuning', 0.5391843914985657, 'llm', 1), ('guidance-ai/guidance', 0.5377461910247803, 'llm', 0), ('eleutherai/lm-evaluation-harness', 0.5358782410621643, 'llm', 2), ('langchain-ai/chat-langchain', 0.534351110458374, 'llm', 0), ('deep-diver/llm-as-chatbot', 0.5321249961853027, 'llm', 0), ('killianlucas/open-interpreter', 0.5310702919960022, 'llm', 0), ('mit-han-lab/streaming-llm', 0.5244007110595703, 'llm', 0), ('dylanhogg/llmgraph', 0.5239781141281128, 'ml', 1), ('microsoft/lora', 0.5221768021583557, 'llm', 0), ('togethercomputer/openchatkit', 0.519807755947113, 'nlp', 0), ('hannibal046/awesome-llm', 0.5191826820373535, 'study', 0), ('aiwaves-cn/agents', 0.5190715789794922, 'nlp', 1), ('xtekky/gpt4free', 0.5166919827461243, 'llm', 0), ('whu-zqh/chatgpt-vs.-bert', 0.514625608921051, 'llm', 0), ('juncongmoo/pyllama', 0.5125579833984375, 'llm', 0), ('paddlepaddle/paddlenlp', 0.507324755191803, 'llm', 1), ('facebookresearch/parlai', 0.5017014145851135, 'nlp', 0), ('lchen001/llmdrift', 0.5002023577690125, 'llm', 0)]

2

0

null

19.27

6

2

8

2

0

6

3

90

0.5

22

554

gis

https://github.com/darribas/gds_env

[]

null

[]

null

darribas/gds_env

gds_env

118

41

12

Jupyter Notebook

https://darribas.org/gds_env

A containerised platform for Geographic Data Science

darribas

2023-12-16

2016-08-12

389

0.302897

null

A containerised platform for Geographic Data Science

['docker', 'geographic-data-science', 'jupyter-lab', 'latex', 'r']

2023-10-24

[('backtick-se/cowait', 0.6343125104904175, 'util', 1), ('orchest/orchest', 0.5977623462677002, 'ml-ops', 1), ('opengeos/leafmap', 0.563289999961853, 'gis', 0), ('airbytehq/airbyte', 0.5391685962677002, 'data', 0), ('mamba-org/micromamba-docker', 0.5356658697128296, 'util', 1), ('eventual-inc/daft', 0.5175384879112244, 'pandas', 0), ('domlysz/blendergis', 0.5147411823272705, 'gis', 0), ('multi-py/python-gunicorn', 0.5109146237373352, 'util', 1), ('simonw/datasette', 0.5070315599441528, 'data', 1), ('raphaelquast/eomaps', 0.5032002329826355, 'gis', 0), ('osgeo/grass', 0.502344012260437, 'gis', 0), ('aeternalis-ingenium/fastapi-backend-template', 0.5019727349281311, 'web', 1)]

9

5

null

1.19

3

1

90

3

2

3

1

90

0.3

22

1,498

llm

https://github.com/titanml/takeoff

['inference', 'language-model']

A server designed for optimized inference of large language models

[]

null

titanml/takeoff

takeoff-community

107

12

7

HTML

https://docs.titanml.co/

TitanML Takeoff Server is an optimization, compression and deployment platform that makes state of the art machine learning models accessible to everyone.

titanml

2024-01-09

2023-07-31

26

4.092896

https://avatars.githubusercontent.com/u/135022454?v=4

TitanML Takeoff Server is an optimization, compression and deployment platform that makes state of the art machine learning models accessible to everyone.

['deployment', 'llama', 'llm', 'quantization']

['deployment', 'inference', 'language-model', 'llama', 'llm', 'quantization']

2023-11-17

[('ml-tooling/opyrator', 0.6359823942184448, 'viz', 1), ('bigscience-workshop/petals', 0.6349102854728699, 'data', 1), ('vllm-project/vllm', 0.5988606214523315, 'llm', 3), ('young-geng/easylm', 0.5864971876144409, 'llm', 2), ('unionai-oss/unionml', 0.56184321641922, 'ml-ops', 0), ('aws/sagemaker-python-sdk', 0.5581379532814026, 'ml', 0), ('huggingface/transformers', 0.5578950047492981, 'nlp', 1), ('bentoml/openllm', 0.5552429556846619, 'ml-ops', 2), ('microsoft/nni', 0.5543978214263916, 'ml', 0), ('bobazooba/xllm', 0.551180899143219, 'llm', 2), ('aiqc/aiqc', 0.550189733505249, 'ml-ops', 0), ('paddlepaddle/paddlenlp', 0.5484669208526611, 'llm', 2), ('mlc-ai/web-llm', 0.548348069190979, 'llm', 2), ('huggingface/datasets', 0.5470577478408813, 'nlp', 0), ('huawei-noah/pretrained-language-model', 0.5469074249267578, 'nlp', 1), ('mlflow/mlflow', 0.5464853048324585, 'ml-ops', 0), ('determined-ai/determined', 0.5414642691612244, 'ml-ops', 0), ('mlc-ai/mlc-llm', 0.5372212529182434, 'llm', 2), ('lm-sys/fastchat', 0.536109447479248, 'llm', 1), ('ludwig-ai/ludwig', 0.5331388711929321, 'ml-ops', 2), ('polyaxon/polyaxon', 0.5318194031715393, 'ml-ops', 0), ('googlecloudplatform/vertex-ai-samples', 0.531377375125885, 'ml', 0), ('alpa-projects/alpa', 0.5302854776382446, 'ml-dl', 1), ('horovod/horovod', 0.529777467250824, 'ml-ops', 0), ('nebuly-ai/nebullvm', 0.5286065936088562, 'perf', 1), ('ray-project/ray', 0.5229300856590271, 'ml-ops', 1), ('squeezeailab/squeezellm', 0.5222111940383911, 'llm', 3), ('kubeflow/fairing', 0.5214179754257202, 'ml-ops', 0), ('ray-project/ray-llm', 0.5190406441688538, 'llm', 1), ('bentoml/bentoml', 0.5187811851501465, 'ml-ops', 0), ('mlc-ai/web-stable-diffusion', 0.5177373886108398, 'diffusion', 0), ('lianjiatech/belle', 0.517549991607666, 'llm', 1), ('tairov/llama2.mojo', 0.5167184472084045, 'llm', 2), ('intel/intel-extension-for-transformers', 0.5163436532020569, 'perf', 0), ('jzhang38/tinyllama', 0.5162729620933533, 'llm', 2), ('deepmind/dm-haiku', 0.5155620574951172, 'ml-dl', 0), ('nvidia/deeplearningexamples', 0.5151104927062988, 'ml-dl', 0), ('pathwaycom/llm-app', 0.5129966735839844, 'llm', 1), ('zenml-io/zenml', 0.5115346908569336, 'ml-ops', 1), ('microsoft/jarvis', 0.5107346773147583, 'llm', 0), ('ravenscroftj/turbopilot', 0.5088446140289307, 'llm', 1), ('microsoft/onnxruntime', 0.5081208348274231, 'ml', 0), ('tatsu-lab/stanford_alpaca', 0.507792055606842, 'llm', 1), ('selfexplainml/piml-toolbox', 0.5073431134223938, 'ml-interpretability', 0), ('uber/petastorm', 0.5053594708442688, 'data', 0), ('salesforce/xgen', 0.5039275884628296, 'llm', 2), ('databrickslabs/dolly', 0.5038862228393555, 'llm', 0), ('predibase/lorax', 0.50351482629776, 'llm', 2), ('tigerlab-ai/tiger', 0.5030698180198669, 'llm', 1), ('microsoft/lmops', 0.5029642581939697, 'llm', 2), ('argilla-io/argilla', 0.5014408230781555, 'nlp', 1), ('tensorflow/tensorflow', 0.50138258934021, 'ml-dl', 0), ('optimalscale/lmflow', 0.5003492832183838, 'llm', 1)]

5

2

null

0.62

3

6

2

0

3

0

90

0

22

1,425

llm

https://github.com/pan-ml/panml

[]

null

[]

null

pan-ml/panml

panml

104

15

4

Python

null

PanML is a high level generative AI/ML development and analysis library designed for ease of use and fast experimentation.

pan-ml

2024-01-04

2023-05-11

37

2.757576

https://avatars.githubusercontent.com/u/133195194?v=4

PanML is a high level generative AI/ML development and analysis library designed for ease of use and fast experimentation.

['artificial-intelligence', 'machine-learning', 'natural-language-processing', 'open-source', 'prompt-engineering']

2023-07-08

[('selfexplainml/piml-toolbox', 0.5762995481491089, 'ml-interpretability', 0), ('microsoft/nni', 0.532913088798523, 'ml', 1), ('ofa-sys/ofa', 0.5308709740638733, 'llm', 0), ('microsoft/generative-ai-for-beginners', 0.5278686285018921, 'study', 1), ('microsoft/lmops', 0.5039084553718567, 'llm', 0), ('mlflow/mlflow', 0.5007346868515015, 'ml-ops', 1)]

5

2

null

1.33

0

8

6

25

52

25

0

90

0

22

1,597

study

https://github.com/anyscale/ray-summit-2023-training

[]

null

[]

null

anyscale/ray-summit-2023-training

ray-summit-2023-training

81

27

10

Jupyter Notebook

https://raysummit.anyscale.com/trainings

null

anyscale

2024-01-04

2023-08-22

23

3.521739

https://avatars.githubusercontent.com/u/51251046?v=4

anyscale/ray-summit-2023-training

['anyscale', 'genai', 'llm', 'llms', 'ray']

2023-10-02

[]

7

5

null

1.1

0

5

3

0

90

0

22

1,454

util

https://github.com/conda-forge/feedstocks

['feedstocks', 'conda']

null

[]

null

conda-forge/feedstocks

feedstocks

58

41

4

null

All conda-forge feedstocks, in one convenient place

conda-forge

2023-12-17

2016-01-13

419

0.138142

https://avatars.githubusercontent.com/u/11897326?v=4

All conda-forge feedstocks, in one convenient place

[]

['conda', 'feedstocks']

2024-01-14

[('conda-forge/conda-smithy', 0.8073468208312988, 'util', 0), ('mamba-org/quetz', 0.6082790493965149, 'util', 1), ('conda/conda-pack', 0.5661166906356812, 'util', 1), ('conda/conda-build', 0.5539048314094543, 'util', 1), ('conda-forge/miniforge', 0.5309390425682068, 'util', 0), ('mamba-org/boa', 0.5122072696685791, 'util', 1), ('conda/constructor', 0.507718563079834, 'util', 1)]

13

1

null

1,203.9

0

97

0

90

0

22

1,178

gamedev

https://github.com/pygamelib/pygamelib

[]

null

[]

null

pygamelib/pygamelib

pygamelib

56

37

4

Python

https://www.pygamelib.org

A (not so) small python library for console (as in terminal) game development. It is developed as a framework to help learn development and python in an entertaining way.

pygamelib

2024-01-11

2019-03-15

254

0.219978

https://avatars.githubusercontent.com/u/67972986?v=4

A (not so) small python library for console (as in terminal) game development. It is developed as a framework to help learn development and python in an entertaining way.

['game-development', 'gamedev', 'hacktoberfest2023', 'kids-coding', 'roguelike-library', 'terminal-based']

2023-10-21

[('urwid/urwid', 0.700258731842041, 'term', 0), ('pygame/pygame', 0.6512402892112732, 'gamedev', 2), ('jquast/blessed', 0.6294499635696411, 'term', 0), ('lordmauve/pgzero', 0.6199098229408264, 'gamedev', 0), ('pyglet/pyglet', 0.5976749062538147, 'gamedev', 1), ('pythonarcade/arcade', 0.5959578156471252, 'gamedev', 0), ('xonsh/xonsh', 0.5624502301216125, 'util', 0), ('panda3d/panda3d', 0.5582475662231445, 'gamedev', 2), ('kitao/pyxel', 0.5561051964759827, 'gamedev', 2), ('python/cpython', 0.5532333850860596, 'util', 0), ('pytoolz/toolz', 0.5512012839317322, 'util', 0), ('willmcgugan/textual', 0.539828896522522, 'term', 0), ('eleutherai/pyfra', 0.527156412601471, 'ml', 0), ('pypy/pypy', 0.5232526659965515, 'util', 0), ('r0x0r/pywebview', 0.5211628079414368, 'gui', 0), ('1200wd/bitcoinlib', 0.5186594128608704, 'crypto', 0), ('hoffstadt/dearpygui', 0.5179816484451294, 'gui', 0), ('dylanhogg/awesome-python', 0.5159634947776794, 'study', 0), ('webpy/webpy', 0.5152013301849365, 'web', 0), ('pokepetter/ursina', 0.5143521428108215, 'gamedev', 1), ('evhub/coconut', 0.5140511989593506, 'util', 0), ('amaargiru/pyroad', 0.5083182454109192, 'study', 0), ('pyscript/pyscript-cli', 0.5070560574531555, 'web', 0), ('google/python-fire', 0.5067519545555115, 'term', 0), ('willmcgugan/rich', 0.5059705376625061, 'term', 0)]

28

3

null

1.23

21

9

59

3

0

2

21

9

90

0.4

22

1,707

util

https://github.com/stijnwoestenborghs/gradi-mojo

['mojo']

Implementation of a simple gradient descent problem in Python, Numpy, JAX, C++ (binding with Python) and Mojo.

[]

null

stijnwoestenborghs/gradi-mojo

gradi-mojo

29

2

4

C++

null

stijnwoestenborghs

2024-01-04

2023-10-02

17

1.691667

null

Implementation of a simple gradient descent problem in Python, Numpy, JAX, C++ (binding with Python) and Mojo.

[]

['mojo']

2023-12-03

[('msaelices/py2mojo', 0.5529176592826843, 'util', 1), ('google/jax', 0.5190989971160889, 'ml', 0), ('cma-es/pycma', 0.5154417753219604, 'math', 0)]

4

2

null

1.13

2

1

3

1

0

2

5

90

2.5

22

1,042

llm

https://github.com/openai/image-gpt

[]

Archived. Code and models from the paper "Generative Pretraining from Pixels"

[]

null

openai/image-gpt

image-gpt

1,978

383

82

Python

null

openai

2024-01-12

2020-05-07

194

10.158474

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

Archived. Code and models from the paper "Generative Pretraining from Pixels"

[]

2020-12-04

[('davidadsp/generative_deep_learning_2nd_edition', 0.6263450980186462, 'study', 0), ('ist-daslab/gptq', 0.6169224381446838, 'llm', 0), ('openai/finetune-transformer-lm', 0.6050621867179871, 'llm', 0), ('bigcode-project/starcoder', 0.5846189260482788, 'llm', 0), ('salesforce/codegen', 0.5758861303329468, 'nlp', 0), ('thudm/cogvideo', 0.558464765548706, 'ml', 0), ('pollinations/dance-diffusion', 0.5518842935562134, 'diffusion', 0), ('jerryyli/valhalla-nmt', 0.5397126078605652, 'ml-dl', 0), ('open-mmlab/mmediting', 0.5370244383811951, 'ml', 0), ('salesforce/blip', 0.5261111855506897, 'diffusion', 0), ('nv-tlabs/get3d', 0.5187845826148987, 'ml', 0), ('timothybrooks/instruct-pix2pix', 0.512509286403656, 'diffusion', 0), ('karpathy/mingpt', 0.5077084302902222, 'llm', 0), ('promptslab/awesome-prompt-engineering', 0.5061761140823364, 'study', 0), ('borisdayma/dalle-mini', 0.5032017827033997, 'diffusion', 0)]

3

0

null

0

45

38

0

90

0

21

329

nlp

https://github.com/franck-dernoncourt/neuroner

[]

null

[]

null

franck-dernoncourt/neuroner

NeuroNER

1,674

486

81

Python

http://neuroner.com

Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.

franck-dernoncourt

2024-01-13

2017-03-07

360

4.65

null

Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.

['deep-learning', 'machine-learning', 'named-entity-recognition', 'neural-networks', 'nlp', 'tensorflow']

2019-10-02

[('flairnlp/flair', 0.7272414565086365, 'nlp', 3), ('allenai/allennlp', 0.5776329040527344, 'nlp', 2), ('deeppavlov/deeppavlov', 0.5672761797904968, 'nlp', 5), ('keras-team/keras-nlp', 0.5547518134117126, 'nlp', 4), ('huggingface/neuralcoref', 0.5318391919136047, 'nlp', 3), ('nvidia/deeplearningexamples', 0.5285832285881042, 'ml-dl', 3), ('microsoft/vert-papers', 0.5278816223144531, 'nlp', 2), ('explosion/spacy', 0.527627170085907, 'nlp', 5), ('huggingface/transformers', 0.5211098790168762, 'nlp', 4), ('rasahq/rasa', 0.5182371735572815, 'llm', 2), ('paddlepaddle/paddlenlp', 0.5083341598510742, 'llm', 1), ('nvidia/nemo', 0.5075932145118713, 'nlp', 2), ('thilinarajapakse/simpletransformers', 0.5060073733329773, 'nlp', 1), ('deepset-ai/farm', 0.5047802329063416, 'nlp', 2), ('explosion/spacy-llm', 0.5040908455848694, 'llm', 3), ('nltk/nltk', 0.5021610856056213, 'nlp', 2)]

7

2

null

0

83

52

0

90

0

21

666

perf

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

[]

null

[]

null

markshannon/faster-cpython

faster-cpython

933

20

84

null

How to make CPython faster.

markshannon

2024-01-10

2020-10-19

171

5.451586

null

How to make CPython faster.

[]

2020-10-28

[('faster-cpython/tools', 0.8188387751579285, 'perf', 0), ('faster-cpython/ideas', 0.6732155084609985, 'perf', 0), ('brandtbucher/specialist', 0.5744246244430542, 'perf', 0), ('p403n1x87/austin', 0.5521705150604248, 'profiling', 0), ('python/cpython', 0.549221932888031, 'util', 0), ('pypy/pypy', 0.5423987507820129, 'util', 0), ('ipython/ipyparallel', 0.541959285736084, 'perf', 0), ('lcompilers/lpython', 0.5289682149887085, 'util', 0), ('cython/cython', 0.5285276770591736, 'util', 0), ('intel/intel-extension-for-pytorch', 0.5006858706474304, 'perf', 0)]

4

2

null

0

1

39

0

1

0

90

0

21

1,152

util

https://github.com/alex-sherman/unsync

[]

null

[]

null

alex-sherman/unsync

unsync

860

50

21

Python

null

Unsynchronize asyncio

alex-sherman

2024-01-13

2018-02-06

312

2.75641

null

Unsynchronize asyncio

[]

2022-02-06

[('magicstack/uvloop', 0.6438055634498596, 'util', 0), ('erdewit/nest_asyncio', 0.597553551197052, 'util', 0), ('aio-libs/aiohttp', 0.5807369351387024, 'web', 0), ('timofurrer/awesome-asyncio', 0.5594347715377808, 'study', 0), ('agronholm/anyio', 0.5539295673370361, 'perf', 0), ('tiangolo/asyncer', 0.5449034571647644, 'perf', 0), ('pytest-dev/pytest-asyncio', 0.5358930230140686, 'testing', 0), ('samuelcolvin/arq', 0.5158486366271973, 'data', 0), ('aio-libs/aiokafka', 0.5082889199256897, 'data', 0), ('samuelcolvin/aioaws', 0.507796049118042, 'data', 0), ('noxdafox/pebble', 0.5057518482208252, 'perf', 0)]

11

3

null

0

72

24

0

1

0

90

0

21

168

nlp

https://github.com/lexpredict/lexpredict-lexnlp

[]

null

[]

null

lexpredict/lexpredict-lexnlp

lexpredict-lexnlp

659

171

51

Jupyter Notebook

null

LexNLP by LexPredict

lexpredict

2024-01-06

2017-09-30

330

1.99438

https://avatars.githubusercontent.com/u/8458599?v=4

LexNLP by LexPredict

['analytics', 'contracts', 'data', 'law', 'legal', 'legaltech', 'linguistics', 'ml', 'nlp']

2023-03-07

[('nltk/nltk', 0.6562715172767639, 'nlp', 1), ('coastalcph/lex-glue', 0.6552823185920715, 'nlp', 3), ('iclrandd/blackstone', 0.582179069519043, 'nlp', 3), ('explosion/spacy-llm', 0.5600504875183105, 'llm', 1), ('explosion/spacy', 0.5584388971328735, 'nlp', 1), ('sloria/textblob', 0.5583809018135071, 'nlp', 1), ('cgpotts/cs224u', 0.5473800897598267, 'study', 1), ('explosion/spacy-models', 0.5394803285598755, 'nlp', 1), ('paddlepaddle/paddlenlp', 0.5384023189544678, 'llm', 1), ('norskregnesentral/skweak', 0.5267290472984314, 'nlp', 0), ('mooler0410/llmspracticalguide', 0.525945782661438, 'study', 1), ('allenai/allennlp', 0.524100661277771, 'nlp', 1), ('infinitylogesh/mutate', 0.5115991234779358, 'nlp', 0)]

9

1

null

0.04

0

77

10

9

2

9

0

90

0

21

1,734

data

https://github.com/mcfunley/pugsql

['orm', 'hugsql', 'sql']

null

[]

null

mcfunley/pugsql

pugsql

652

20

10

Python

https://pugsql.org

A HugSQL-inspired database library for Python

mcfunley

2024-01-13

2019-05-19

245

2.658125

null

A HugSQL-inspired database library for Python

[]

['hugsql', 'orm', 'sql']

2022-05-27

[('tiangolo/sqlmodel', 0.6844363808631897, 'data', 1), ('sqlalchemy/sqlalchemy', 0.6739656329154968, 'data', 1), ('ibis-project/ibis', 0.6264197826385498, 'data', 1), ('collerek/ormar', 0.6217651963233948, 'data', 1), ('coleifer/peewee', 0.6096048951148987, 'data', 0), ('andialbrecht/sqlparse', 0.5752284526824951, 'data', 0), ('tobymao/sqlglot', 0.5487765073776245, 'data', 1), ('aio-libs/aiomysql', 0.5428056716918945, 'data', 0), ('qdrant/fastembed', 0.5356664657592773, 'ml', 0), ('nasdaq/data-link-python', 0.5342159867286682, 'finance', 0), ('kayak/pypika', 0.5262505412101746, 'data', 1), ('aio-libs/aiopg', 0.5243105888366699, 'data', 0), ('sdispater/orator', 0.5235227346420288, 'data', 1), ('strawberry-graphql/strawberry', 0.5126366019248962, 'web', 0), ('agronholm/sqlacodegen', 0.5109015703201294, 'data', 0), ('pytoolz/toolz', 0.5106123685836792, 'util', 0), ('sqlalchemy/alembic', 0.5098458528518677, 'data', 1), ('sfu-db/connector-x', 0.5034618377685547, 'data', 1), ('jina-ai/vectordb', 0.5005654096603394, 'data', 0)]

12

1

null

0

2

1

57

20

0

4

2

0

90

0

21

274

crypto

https://github.com/ethtx/ethtx

[]

null

[]

null

ethtx/ethtx

ethtx

447

74

16

Python

https://www.ethtx.info

Python package with core transaction decoding functions.

ethtx

2024-01-12

2021-06-28

135

3.307611

https://avatars.githubusercontent.com/u/70520035?v=4

Python package with core transaction decoding functions.

[]

2023-05-17

[('pytoolz/toolz', 0.5787340402603149, 'util', 0), ('ethtx/ethtx_ce', 0.5777018666267395, 'crypto', 0), ('pmorissette/ffn', 0.5535359978675842, 'finance', 0), ('indygreg/pyoxidizer', 0.5071747303009033, 'util', 0), ('pdm-project/pdm', 0.5046972632408142, 'util', 0), ('pyston/pyston', 0.5028896331787109, 'util', 0)]

6

2

null

0.08

1

0

31

8

1

15

1

0

90

0

21

1,071

llm

https://github.com/bigscience-workshop/t-zero

[]

null

[]

null

bigscience-workshop/t-zero

t-zero

436

51

24

Python

null

Reproduce results and replicate training fo T0 (Multitask Prompted Training Enables Zero-Shot Task Generalization)

bigscience-workshop

2024-01-10

2021-12-13

111

3.922879

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

Reproduce results and replicate training fo T0 (Multitask Prompted Training Enables Zero-Shot Task Generalization)

[]

2022-07-29

[('huggingface/setfit', 0.5152558088302612, 'nlp', 0)]

6

4

null

0

25

18

0

90

0

21

833

util

https://github.com/carlospuenteg/file-injector

[]

null

[]

null

carlospuenteg/file-injector

File-Injector

421

24

7

Python

null

File Injector is a script that allows you to store any file in an image using steganography

carlospuenteg

2024-01-12

2022-10-22

66

6.337634

null

File Injector is a script that allows you to store any file in an image using steganography

['extraction', 'file', 'file-injection', 'file-injector', 'files', 'image', 'image-manipulation', 'image-processing', 'injection', 'noise', 'numpy', 'photography', 'steganography', 'storage']

2022-11-18

[]

1

0

null

0

15

14

0

11

0

90

0

21

1,651

nlp

https://github.com/babelscape/rebel

[]

null

[]

null

babelscape/rebel

rebel

382

51

4

Python

null

REBEL is a seq2seq model that simplifies Relation Extraction (EMNLP 2021).

babelscape

2024-01-11

2021-09-06

125

3.052511

https://avatars.githubusercontent.com/u/90899893?v=4

REBEL is a seq2seq model that simplifies Relation Extraction (EMNLP 2021).

['entity-linking', 'natural-language-generation', 'natural-language-processing', 'nlp', 'relation-extraction']

2023-11-09

[('microsoft/vert-papers', 0.5618175864219666, 'nlp', 2), ('zjunlp/deepke', 0.5535876154899597, 'ml', 2)]

4

0

null

0.1

2

1

29

2

0

2

90

1

21

924

llm

https://github.com/lucidrains/medical-chatgpt

[]

null

[]

null

lucidrains/medical-chatgpt

medical-chatgpt

307

30

32

Python

null

Implementation of ChatGPT, but tailored towards primary care medicine, with the reward being able to collect patient histories in a thorough and efficient manner and come up with a reasonable differential diagnosis

lucidrains

2024-01-04

2022-12-10

59

5.165865

null

Implementation of ChatGPT, but tailored towards primary care medicine, with the reward being able to collect patient histories in a thorough and efficient manner and come up with a reasonable differential diagnosis

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

2023-10-14

[('oneil512/insight', 0.6099081635475159, 'ml', 0), ('project-monai/monai', 0.5313103795051575, 'ml', 1), ('epfllm/meditron', 0.5020337104797363, 'llm', 0)]

2

1

null

0.1

0

13

3

0

90

0

21

844

web

https://github.com/conradbez/hstream

[]

null

[]

null

conradbez/hstream

hstream

274

14

7

Python

null

Hyper Stream

conradbez

2024-01-04

2022-11-03

64

4.233996

null

Hyper Stream

[]

2023-11-25

[]

5

1

null

0.4

0

15

2

0

90

0

21

1,810

llm

https://github.com/alphasecio/langchain-examples

[]

null

[]

null

alphasecio/langchain-examples

langchain-examples

257

68

4

Python

null

A collection of apps powered by the LangChain LLM framework.

alphasecio

2024-01-13

2023-05-19

36

7.027344

null

A collection of apps powered by the LangChain LLM framework.

['genai', 'jupyter-notebook', 'langchain', 'llm', 'notebook', 'openai', 'pinecone', 'streamlit', 'vectordb']

2023-09-28

[('langchain-ai/langgraph', 0.6478251814842224, 'llm', 1), ('pathwaycom/llm-app', 0.6350022554397583, 'llm', 1), ('shishirpatil/gorilla', 0.6303489804267883, 'llm', 1), ('microsoft/semantic-kernel', 0.6260648965835571, 'llm', 2), ('nat/openplayground', 0.6207661628723145, 'llm', 0), ('explosion/spacy-streamlit', 0.6193504929542542, 'nlp', 1), ('lancedb/lancedb', 0.601751446723938, 'data', 1), ('tigerlab-ai/tiger', 0.5991637706756592, 'llm', 1), ('activeloopai/deeplake', 0.5867215991020203, 'ml-ops', 2), ('streamlit/streamlit', 0.5835210084915161, 'viz', 1), ('gradio-app/gradio', 0.5749422907829285, 'viz', 0), ('willmcgugan/textual', 0.570219874382019, 'term', 0), ('kivy/kivy', 0.5670594573020935, 'util', 0), ('microsoft/promptflow', 0.5629417896270752, 'llm', 1), ('cohere-ai/notebooks', 0.5620157718658447, 'llm', 0), ('hegelai/prompttools', 0.5608381628990173, 'llm', 0), ('prefecthq/langchain-prefect', 0.5599607229232788, 'llm', 1), ('chainlit/chainlit', 0.5578954815864563, 'llm', 3), ('gkamradt/langchain-tutorials', 0.5529564023017883, 'study', 0), ('tiangolo/full-stack-fastapi-postgresql', 0.5519778728485107, 'template', 0), ('salesforce/xgen', 0.5513124465942383, 'llm', 1), ('run-llama/rags', 0.5506168007850647, 'llm', 3), ('hwchase17/langchain', 0.5499154925346375, 'llm', 1), ('openai/tiktoken', 0.5489485263824463, 'nlp', 0), ('fastai/fastcore', 0.5439481735229492, 'util', 0), ('mlc-ai/web-llm', 0.5424495339393616, 'llm', 1), ('paddlepaddle/paddlenlp', 0.5416777729988098, 'llm', 1), ('bobazooba/xllm', 0.5409016609191895, 'llm', 2), ('berriai/litellm', 0.5404641032218933, 'llm', 3), ('bigscience-workshop/petals', 0.5384784936904907, 'data', 0), ('eugeneyan/open-llms', 0.5366406440734863, 'study', 1), ('hiyouga/llama-efficient-tuning', 0.5362140536308289, 'llm', 1), ('hiyouga/llama-factory', 0.5362140536308289, 'llm', 1), ('aws/graph-notebook', 0.5361274480819702, 'jupyter', 1), ('nebuly-ai/nebullvm', 0.5353783369064331, 'perf', 1), ('embedchain/embedchain', 0.532405436038971, 'llm', 1), ('lianjiatech/belle', 0.5297924876213074, 'llm', 0), ('zilliztech/gptcache', 0.5278271436691284, 'llm', 3), ('nvidia/tensorrt-llm', 0.5265845060348511, 'viz', 0), ('deepset-ai/haystack', 0.5227251648902893, 'llm', 0), ('flet-dev/flet', 0.5201708078384399, 'web', 0), ('google/gin-config', 0.5197805762290955, 'util', 0), ('langchain-ai/langsmith-sdk', 0.5165998935699463, 'llm', 0), ('young-geng/easylm', 0.5165916681289673, 'llm', 0), ('dylanhogg/awesome-python', 0.5161072611808777, 'study', 0), ('alpha-vllm/llama2-accessory', 0.5159311890602112, 'llm', 0), ('agenta-ai/agenta', 0.5152485370635986, 'llm', 2), ('tiangolo/fastapi', 0.5145138502120972, 'web', 0), ('run-llama/llama-hub', 0.5134257674217224, 'data', 1), ('plotly/dash', 0.5120916962623596, 'viz', 0), ('zenodo/zenodo', 0.511971652507782, 'util', 0), ('mito-ds/monorepo', 0.5109399557113647, 'jupyter', 0), ('microsoft/autogen', 0.5106598138809204, 'llm', 0), ('langchain-ai/langsmith-cookbook', 0.5074201822280884, 'llm', 0), ('koaning/calm-notebooks', 0.5073686242103577, 'study', 0), ('cheshire-cat-ai/core', 0.5036561489105225, 'llm', 1), ('vitalik/django-ninja', 0.5026804804801941, 'web', 0), ('facebookresearch/hydra', 0.5024363994598389, 'util', 0), ('holoviz/panel', 0.500730037689209, 'viz', 0), ('h2oai/h2o-llmstudio', 0.5006608366966248, 'llm', 1), ('qdrant/fastembed', 0.5004814267158508, 'ml', 2), ('huggingface/huggingface_hub', 0.5002479553222656, 'ml', 0), ('chroma-core/chroma', 0.5002412796020508, 'data', 1)]

1

0

null

2.44

1

0

8

4

0

1

0

90

0

21

551

ml

https://github.com/nicolas-chaulet/torch-points3d

[]

null

[]

null

nicolas-chaulet/torch-points3d

torch-points3d

176

40

1

null

https://torch-points3d.readthedocs.io/en/latest/

Pytorch framework for doing deep learning on point clouds.

nicolas-chaulet

2024-01-04

2022-01-09

107

1.640479

null

Pytorch framework for doing deep learning on point clouds.

[]

2021-12-10

[('pytorch/ignite', 0.6167212128639221, 'ml-dl', 0), ('facebookresearch/pytorch3d', 0.6138631701469421, 'ml-dl', 0), ('mrdbourke/pytorch-deep-learning', 0.5965690016746521, 'study', 0), ('nvidia/apex', 0.5915487408638, 'ml-dl', 0), ('pyg-team/pytorch_geometric', 0.580845832824707, 'ml-dl', 0), ('intel/intel-extension-for-pytorch', 0.5780234932899475, 'perf', 0), ('skorch-dev/skorch', 0.5687388777732849, 'ml-dl', 0), ('huggingface/accelerate', 0.5572007894515991, 'ml', 0), ('ashleve/lightning-hydra-template', 0.5534338355064392, 'util', 0), ('denys88/rl_games', 0.5515884757041931, 'ml-rl', 0), ('tensorflow/mesh', 0.5492365956306458, 'ml-dl', 0), ('karpathy/micrograd', 0.5409857034683228, 'study', 0), ('lucidrains/imagen-pytorch', 0.5233572125434875, 'ml-dl', 0), ('openai/point-e', 0.5189539790153503, 'util', 0), ('nvlabs/gcvit', 0.5170150995254517, 'diffusion', 0), ('rasbt/machine-learning-book', 0.5115610957145691, 'study', 0), ('ageron/handson-ml2', 0.5103498101234436, 'ml', 0), ('rentruewang/koila', 0.5067731738090515, 'ml', 0), ('xl0/lovely-tensors', 0.5040701031684875, 'ml-dl', 0), ('dmlc/dgl', 0.501939594745636, 'ml-dl', 0), ('hazyresearch/hgcn', 0.5006260871887207, 'ml', 0)]

29

6

null

0

24

25

0

5

0

90

0

21

1,484

util

https://github.com/allrod5/injectable

['dependency-injection']

null

[]

null

allrod5/injectable

injectable

101

8

5

Python

https://injectable.readthedocs.io

Python Dependency Injection for Humans™

allrod5

2024-01-09

2018-02-04

312

0.323422

null

Python Dependency Injection for Humans™

['autowired', 'autowiring', 'circular-dependencies', 'dependency-injection', 'for-humans', 'injection', 'ioc', 'lazy-evaluation', 'micro-framework']

2023-01-11

[('python-injector/injector', 0.6809417605400085, 'util', 1), ('ets-labs/python-dependency-injector', 0.6628846526145935, 'util', 2), ('ivankorobkov/python-inject', 0.640688955783844, 'util', 1), ('pytoolz/toolz', 0.5491871237754822, 'util', 0), ('eleutherai/pyfra', 0.5288636088371277, 'ml', 0), ('pdm-project/pdm', 0.5183610320091248, 'util', 0), ('python-poetry/poetry', 0.5134292244911194, 'util', 0), ('artemyk/dynpy', 0.5095717906951904, 'sim', 0), ('hoffstadt/dearpygui', 0.508715033531189, 'gui', 0), ('micropython/micropython', 0.5082573294639587, 'util', 0), ('google/pyglove', 0.5078258514404297, 'util', 0), ('grahamdumpleton/wrapt', 0.5006911754608154, 'util', 0), ('reloadware/reloadium', 0.5002021193504333, 'profiling', 0)]

3

null

0

1

0

72

12

0

5

1

3

90

3

21

965

data

https://github.com/vmiklos/ged2dot

[]

null

[]

null

vmiklos/ged2dot

ged2dot

93

19

9

Python

https://vmiklos.hu/ged2dot/

GEDCOM to Graphviz converter

vmiklos

2023-11-17

2013-11-01

534

0.173971

null

GEDCOM to Graphviz converter

['dot', 'gedcom', 'libreoffice']

2024-01-01

[('pydot/pydot', 0.5854193568229675, 'viz', 0), ('pygraphviz/pygraphviz', 0.5002699494361877, 'viz', 0)]

9

2

null

0.54

7

124

0

2

7

2

90

0.3

21

814

pandas

https://github.com/ddelange/mapply

[]

null

[]

null

ddelange/mapply

mapply

63

3

5

Python

null

Sensible multi-core apply function for Pandas

ddelange

2024-01-08

2020-10-26

170

0.370277

null

Sensible multi-core apply function for Pandas

[]

2024-01-13

[('jmcarpenter2/swifter', 0.6554047465324402, 'pandas', 0), ('nalepae/pandarallel', 0.6456267833709717, 'pandas', 0), ('scikit-learn-contrib/sklearn-pandas', 0.5479068756103516, 'pandas', 0), ('blaze/blaze', 0.513414204120636, 'pandas', 0)]

2

0

null

0.4

20

39

0

6

8

6

20

38

90

1.9

21

391

pandas

https://github.com/tkrabel/bamboolib

[]

null

[]

null

tkrabel/bamboolib

bamboolib

921

94

32

Jupyter Notebook

https://bamboolib.com

bamboolib - a GUI for pandas DataFrames

tkrabel

2024-01-04

2019-05-29

243

3.776801

null

bamboolib - a GUI for pandas DataFrames

['jupyter-notebook', 'jupyterlab', 'pandas', 'pandas-dataframes']

2022-09-27

[('adamerose/pandasgui', 0.8184458017349243, 'pandas', 1), ('quantopian/qgrid', 0.7011144161224365, 'jupyter', 0), ('lux-org/lux', 0.6735276579856873, 'viz', 1), ('jakevdp/pythondatasciencehandbook', 0.6585032939910889, 'study', 2), ('bloomberg/ipydatagrid', 0.6406834721565247, 'jupyter', 0), ('kanaries/pygwalker', 0.6401150822639465, 'pandas', 1), ('holoviz/panel', 0.620628833770752, 'viz', 0), ('cmudig/autoprofiler', 0.6205199956893921, 'jupyter', 1), ('man-group/dtale', 0.6187593936920166, 'viz', 2), ('jupyter-widgets/ipywidgets', 0.5929217338562012, 'jupyter', 0), ('twopirllc/pandas-ta', 0.5758503675460815, 'finance', 2), ('vizzuhq/ipyvizzu', 0.5739924311637878, 'jupyter', 1), ('beeware/toga', 0.5691761374473572, 'gui', 0), ('mwaskom/seaborn', 0.5646217465400696, 'viz', 1), ('geopandas/geopandas', 0.5592805743217468, 'gis', 1), ('wesm/pydata-book', 0.557572066783905, 'study', 0), ('jupyterlab/jupyterlab-desktop', 0.5493032336235046, 'jupyter', 2), ('jazzband/tablib', 0.5476372241973877, 'data', 0), ('pandas-dev/pandas', 0.5454512238502502, 'pandas', 1), ('jmcarpenter2/swifter', 0.5419985055923462, 'pandas', 1), ('delta-io/delta-rs', 0.5383087396621704, 'pandas', 1), ('aws/graph-notebook', 0.5372664928436279, 'jupyter', 1), ('eleutherai/pyfra', 0.53708815574646, 'ml', 0), ('voila-dashboards/voila', 0.5368069410324097, 'jupyter', 1), ('nalepae/pandarallel', 0.5356969237327576, 'pandas', 1), ('mwouts/jupytext', 0.5347379446029663, 'jupyter', 2), ('jupyter/nbformat', 0.5312812328338623, 'jupyter', 0), ('scikit-learn-contrib/sklearn-pandas', 0.5288722515106201, 'pandas', 0), ('jupyter/notebook', 0.5267034769058228, 'jupyter', 1), ('jmcnamara/xlsxwriter', 0.5247606039047241, 'data', 1), ('zsailer/pandas_flavor', 0.5217926502227783, 'pandas', 1), ('parthjadhav/tkinter-designer', 0.5206194519996643, 'gui', 0), ('ipython/ipyparallel', 0.5092272162437439, 'perf', 0), ('zoomeranalytics/xlwings', 0.5089218616485596, 'data', 0), ('modin-project/modin', 0.5066853761672974, 'perf', 1), ('hoffstadt/dearpygui', 0.5062575936317444, 'gui', 0), ('rsheftel/pandas_market_calendars', 0.5060363411903381, 'finance', 1), ('ipython/ipykernel', 0.5052734017372131, 'util', 1), ('blaze/blaze', 0.5050551295280457, 'pandas', 0), ('dylanhogg/awesome-python', 0.5048226118087769, 'study', 1), ('mementum/bta-lib', 0.5043449401855469, 'finance', 0), ('plotly/plotly.py', 0.5021097660064697, 'viz', 1), ('masoniteframework/masonite', 0.5014203190803528, 'web', 0), ('rapidsai/cudf', 0.5010843276977539, 'pandas', 1)]

4

2

null

0

56

16

0

90

0

20

392

perf

https://github.com/klen/py-frameworks-bench

[]

null

[]

null

klen/py-frameworks-bench

py-frameworks-bench

699

86

27

Python

https://klen.github.io/py-frameworks-bench/

Another benchmark for some python frameworks

klen

2024-01-03

2015-04-30

456

1.530497

null

Another benchmark for some python frameworks

['benchmark', 'python-frameworks']

2022-03-14

[('ionelmc/pytest-benchmark', 0.6951150298118591, 'testing', 1), ('locustio/locust', 0.6128438115119934, 'testing', 0), ('fastai/fastcore', 0.6014686226844788, 'util', 0), ('neoteroi/blacksheep', 0.5975432395935059, 'web', 0), ('eleutherai/pyfra', 0.5963848829269409, 'ml', 0), ('lcompilers/lpython', 0.587522566318512, 'util', 0), ('wolever/parameterized', 0.5862182974815369, 'testing', 0), ('pypy/pypy', 0.5855749845504761, 'util', 0), ('pyutils/line_profiler', 0.5825835466384888, 'profiling', 0), ('pyston/pyston', 0.5815452933311462, 'util', 0), ('cython/cython', 0.5801135301589966, 'util', 0), ('pytoolz/toolz', 0.5774570107460022, 'util', 0), ('benfred/py-spy', 0.5661771297454834, 'profiling', 0), ('klen/muffin', 0.5657544732093811, 'web', 0), ('alirn76/panther', 0.564853310585022, 'web', 0), ('sumerc/yappi', 0.5642154216766357, 'profiling', 0), ('p403n1x87/austin', 0.5635471343994141, 'profiling', 0), ('mrdbourke/m1-machine-learning-test', 0.5594583749771118, 'ml', 0), ('pympler/pympler', 0.5578858256340027, 'perf', 0), ('carla-recourse/carla', 0.5568965077400208, 'ml', 1), ('pmorissette/bt', 0.5551998615264893, 'finance', 0), ('qdrant/vector-db-benchmark', 0.5516537427902222, 'perf', 1), ('rubik/radon', 0.5515268445014954, 'util', 0), ('google/gin-config', 0.5510473847389221, 'util', 0), ('mynameisfiber/high_performance_python_2e', 0.5484030842781067, 'study', 0), ('exaloop/codon', 0.5465443730354309, 'perf', 0), ('grantjenks/python-diskcache', 0.5420731902122498, 'util', 0), ('joblib/joblib', 0.540972888469696, 'util', 0), ('faster-cpython/tools', 0.5376661419868469, 'perf', 0), ('dgilland/cacheout', 0.5362305641174316, 'perf', 0), ('geeogi/async-python-lambda-template', 0.5316784977912903, 'template', 0), ('nvidia/warp', 0.5304505825042725, 'sim', 0), ('bottlepy/bottle', 0.5283790826797485, 'web', 0), ('intel/intel-extension-for-pytorch', 0.5263614654541016, 'perf', 0), ('reloadware/reloadium', 0.5263360142707825, 'profiling', 0), ('python-trio/trio', 0.5250015258789062, 'perf', 0), ('libtcod/python-tcod', 0.5221824049949646, 'gamedev', 0), ('pyinfra-dev/pyinfra', 0.5210394263267517, 'util', 0), ('sfu-db/connector-x', 0.5208754539489746, 'data', 0), ('hyperopt/hyperopt', 0.5207222700119019, 'ml', 0), ('beeware/toga', 0.5207023024559021, 'gui', 0), ('jmcarpenter2/swifter', 0.519839346408844, 'pandas', 0), ('python-cachier/cachier', 0.5169395208358765, 'perf', 0), ('mementum/backtrader', 0.5150114893913269, 'finance', 0), ('nedbat/coveragepy', 0.514492928981781, 'testing', 0), ('hoffstadt/dearpygui', 0.511713981628418, 'gui', 0), ('astral-sh/ruff', 0.5096173882484436, 'util', 0), ('python-restx/flask-restx', 0.5092925429344177, 'web', 0), ('timofurrer/awesome-asyncio', 0.5063012838363647, 'study', 0), ('magicstack/uvloop', 0.5054547190666199, 'util', 0), ('ipython/ipyparallel', 0.5014100074768066, 'perf', 0), ('plasma-umass/scalene', 0.500389039516449, 'profiling', 0)]

10

4

null

0

106

22

0

2

0

90

0

20

211

time-series

https://github.com/firmai/atspy

[]

null

[]

null

firmai/atspy

atspy

499

89

21

Python

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3580631

AtsPy: Automated Time Series Models in Python (by @firmai)

firmai

2024-01-05

2020-01-28

209

2.38756

null

AtsPy: Automated Time Series Models in Python (by @firmai)

['automated', 'finance', 'forecasting', 'forecasting-models', 'time-series', 'time-series-analysis']

2021-12-18

[('alkaline-ml/pmdarima', 0.7777550220489502, 'time-series', 3), ('awslabs/gluonts', 0.695907711982727, 'time-series', 2), ('winedarksea/autots', 0.6719325184822083, 'time-series', 2), ('statsmodels/statsmodels', 0.6599208116531372, 'ml', 1), ('unit8co/darts', 0.6426480412483215, 'time-series', 2), ('bashtage/arch', 0.6273349523544312, 'time-series', 3), ('scikit-learn/scikit-learn', 0.6164392232894897, 'ml', 0), ('rjt1990/pyflux', 0.6143859624862671, 'time-series', 1), ('tdameritrade/stumpy', 0.6093729138374329, 'time-series', 1), ('goldmansachs/gs-quant', 0.6063892841339111, 'finance', 0), ('google/temporian', 0.6023882031440735, 'time-series', 1), ('sktime/sktime', 0.5919238924980164, 'time-series', 3), ('uber/orbit', 0.5873233675956726, 'time-series', 2), ('ta-lib/ta-lib-python', 0.5853879451751709, 'finance', 1), ('stan-dev/pystan', 0.5848978757858276, 'ml', 0), ('ranaroussi/quantstats', 0.5767538547515869, 'finance', 1), ('nixtla/statsforecast', 0.5731773972511292, 'time-series', 2), ('cuemacro/finmarketpy', 0.5688939690589905, 'finance', 0), ('crflynn/stochastic', 0.5687724351882935, 'sim', 0), ('featurelabs/featuretools', 0.5671241283416748, 'ml', 0), ('pastas/pastas', 0.5670745372772217, 'time-series', 0), ('eleutherai/pyfra', 0.5660873055458069, 'ml', 0), ('gradio-app/gradio', 0.5611603856086731, 'viz', 0), ('ourownstory/neural_prophet', 0.5586233735084534, 'ml', 2), ('gbeced/pyalgotrade', 0.5548366904258728, 'finance', 0), ('salesforce/merlion', 0.5541254281997681, 'time-series', 2), ('automl/auto-sklearn', 0.5523808598518372, 'ml', 0), ('rasbt/mlxtend', 0.5510342121124268, 'ml', 0), ('google/pyglove', 0.5508860349655151, 'util', 0), ('pmorissette/ffn', 0.5481270551681519, 'finance', 0), ('scikit-mobility/scikit-mobility', 0.5477433800697327, 'gis', 0), ('pycaret/pycaret', 0.5466391444206238, 'ml', 1), ('microsoft/flaml', 0.5425217747688293, 'ml', 0), ('online-ml/river', 0.5391773581504822, 'ml', 0), ('nccr-itmo/fedot', 0.5334661602973938, 'ml-ops', 0), ('pytoolz/toolz', 0.5319315791130066, 'util', 0), ('awslabs/autogluon', 0.53136146068573, 'ml', 2), ('robcarver17/pysystemtrade', 0.5296515226364136, 'finance', 0), ('mljar/mljar-supervised', 0.5243828296661377, 'ml', 0), ('plotly/dash', 0.5219200849533081, 'viz', 1), ('pypy/pypy', 0.5205024480819702, 'util', 0), ('wilsonrljr/sysidentpy', 0.5202825665473938, 'time-series', 1), ('pandas-dev/pandas', 0.5182963013648987, 'pandas', 0), ('dateutil/dateutil', 0.5173526406288147, 'util', 0), ('linkedin/greykite', 0.5171492099761963, 'ml', 0), ('salesforce/deeptime', 0.5146031975746155, 'time-series', 2), ('microprediction/microprediction', 0.5109694004058838, 'time-series', 1), ('shankarpandala/lazypredict', 0.5108960866928101, 'ml', 0), ('facebook/prophet', 0.5104213356971741, 'time-series', 2), ('skops-dev/skops', 0.5083118081092834, 'ml-ops', 0), ('artemyk/dynpy', 0.5067782998085022, 'sim', 0), ('agronholm/apscheduler', 0.5056720972061157, 'util', 0), ('quantopian/pyfolio', 0.5053930282592773, 'finance', 0), ('kernc/backtesting.py', 0.5046423673629761, 'finance', 1), ('hydrosquall/tiingo-python', 0.5044682025909424, 'finance', 1), ('polyaxon/datatile', 0.5035507678985596, 'pandas', 0), ('selfexplainml/piml-toolbox', 0.5030118823051453, 'ml-interpretability', 0), ('districtdatalabs/yellowbrick', 0.5014930367469788, 'ml', 0), ('epistasislab/tpot', 0.5008826851844788, 'ml', 0), ('gbeced/basana', 0.5008696913719177, 'finance', 0)]

5

2

null

0

1

0

48

25

0

1

90

1

20

1,757

diffusion

https://github.com/laion-ai/dalle2-laion

['text-to-image', 'diffusion']

null

[]

null

laion-ai/dalle2-laion

dalle2-laion

489

65

23

Python

null

Pretrained Dalle2 from laion

laion-ai

2024-01-12

2022-06-26

83

5.871355

https://avatars.githubusercontent.com/u/92627801?v=4

Pretrained Dalle2 from laion

[]

['diffusion', 'text-to-image']

2022-11-09

[('saharmor/dalle-playground', 0.570446252822876, 'diffusion', 1), ('borisdayma/dalle-mini', 0.5235878229141235, 'diffusion', 0), ('lucidrains/dalle2-pytorch', 0.5131522417068481, 'diffusion', 1), ('huggingface/diffusers', 0.5089276432991028, 'diffusion', 1)]

5

1

null

0

19

14

0

90

0

20

1,804

util

https://github.com/taylorsmarks/playsound

['mp3', 'sound']

null

[]

null

taylorsmarks/playsound

playsound

475

114

13

Python

null

Pure Python, cross platform, single function module with no dependencies for playing sounds.

taylorsmarks

2024-01-09

2016-01-27

417

1.136752

null

Pure Python, cross platform, single function module with no dependencies for playing sounds.

[]

['mp3', 'sound']

2021-08-06

[('bastibe/python-soundfile', 0.6413252949714661, 'util', 0), ('spotify/pedalboard', 0.6269357204437256, 'util', 0), ('irmen/pyminiaudio', 0.6150918006896973, 'util', 0), ('quodlibet/mutagen', 0.6006749868392944, 'util', 1), ('uberi/speech_recognition', 0.5477955341339111, 'ml', 0), ('pytoolz/toolz', 0.5312017798423767, 'util', 0), ('asweigart/pyperclip', 0.5268693566322327, 'util', 0)]

8

1

null

0

5

0

97

30

0

5

15

90

3

20

569

gis

https://github.com/developmentseed/label-maker

[]

null

[]

null

developmentseed/label-maker

label-maker

453

114

52

Python

http://devseed.com/label-maker/

Data Preparation for Satellite Machine Learning

developmentseed

2024-01-04

2018-01-10

315

1.434193

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

Data Preparation for Satellite Machine Learning

['computer-vision', 'data-preparation', 'deep-learning', 'keras', 'remote-sensing', 'satellite-imagery']

2020-11-19

[('azavea/raster-vision', 0.6791407465934753, 'gis', 3), ('microsoft/torchgeo', 0.629837691783905, 'gis', 4), ('plant99/felicette', 0.6269397139549255, 'gis', 1), ('datasystemslab/geotorch', 0.5983750224113464, 'gis', 1), ('remotesensinglab/raster4ml', 0.5611507296562195, 'gis', 1), ('fatiando/verde', 0.5453664660453796, 'gis', 0), ('aleju/imgaug', 0.5313600897789001, 'ml', 1), ('sentinelsat/sentinelsat', 0.5269395112991333, 'gis', 2), ('huggingface/datasets', 0.52162766456604, 'nlp', 2), ('awslabs/autogluon', 0.5088804364204407, 'ml', 2), ('googlecloudplatform/practical-ml-vision-book', 0.505915641784668, 'study', 0), ('sentinel-hub/eo-learn', 0.5026171803474426, 'gis', 0)]

15

6

null

0

73

38

0

3

0

90

0

20

524

nlp

https://github.com/hazyresearch/fonduer

[]

null

[]

null

hazyresearch/fonduer

fonduer

397

77

28

Python

https://fonduer.readthedocs.io/

A knowledge base construction engine for richly formatted data

hazyresearch

2024-01-04

2018-02-02

312

1.27011

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

A knowledge base construction engine for richly formatted data

['knowledge-base-construction', 'machine-learning', 'multimodality']

2021-06-23

[]

15

5

null

0

72

31

0

5

0

90

0

20

1,482

util

https://github.com/proofit404/dependencies

['dependency-injection']

null

[]

null

proofit404/dependencies

dependencies

351

17

8

Python

https://proofit404.github.io/dependencies/

Constructor injection designed with OOP in mind.

proofit404

2024-01-06

2016-01-21

418

0.83828

null

Constructor injection designed with OOP in mind.

[]

['dependency-injection']

2022-11-01

[('python-injector/injector', 0.554645836353302, 'util', 1), ('ivankorobkov/python-inject', 0.547492265701294, 'util', 1)]

11

4

null

0

97

15

0

7

0

90

0

20

248

sim

https://github.com/bilhim/trafficsimulator

[]

null

[]

null

bilhim/trafficsimulator

trafficSimulator

303

118

17

Python

null

A microscopic traffic simulation in Python

bilhim

2024-01-12

2021-09-05

125

2.418472

null

A microscopic traffic simulation in Python

[]

2023-06-26

[('crowddynamics/crowddynamics', 0.5411049723625183, 'sim', 0)]

3

1

null

0.27

1

0

29

7

0

1

90

1

20

1,233

llm

https://github.com/conceptofmind/toolformer

['toolformer', 'language-model']

Open-source implementation of Toolformer: Language Models Can Teach Themselves to Use Tools

[]

null

conceptofmind/toolformer

toolformer

296

33

12

Python

null

conceptofmind

2024-01-12

2023-02-17

49

5.971182

null

Open-source implementation of Toolformer: Language Models Can Teach Themselves to Use Tools

[]

['language-model', 'toolformer']

2023-03-04

[('lucidrains/toolformer-pytorch', 0.7667592167854309, 'llm', 2), ('ctlllll/llm-toolmaker', 0.7394540309906006, 'llm', 1), ('openbmb/toolbench', 0.6644108891487122, 'llm', 0), ('lm-sys/fastchat', 0.5984368920326233, 'llm', 1), ('young-geng/easylm', 0.5841966867446899, 'llm', 1), ('salesforce/codet5', 0.5832077264785767, 'nlp', 1), ('guidance-ai/guidance', 0.5727112293243408, 'llm', 1), ('night-chen/toolqa', 0.5704953670501709, 'llm', 0), ('neulab/prompt2model', 0.5687054395675659, 'llm', 1), ('hannibal046/awesome-llm', 0.5643236041069031, 'study', 1), ('openlmlab/moss', 0.5642003417015076, 'llm', 1), ('oobabooga/text-generation-webui', 0.5621170997619629, 'llm', 1), ('hegelai/prompttools', 0.5603080987930298, 'llm', 0), ('thudm/codegeex', 0.5580187439918518, 'llm', 0), ('ai21labs/lm-evaluation', 0.5530425310134888, 'llm', 1), ('lianjiatech/belle', 0.5519489049911499, 'llm', 0), ('alpha-vllm/llama2-accessory', 0.5475521087646484, 'llm', 0), ('aiwaves-cn/agents', 0.5445042252540588, 'nlp', 1), ('argilla-io/argilla', 0.5423489809036255, 'nlp', 0), ('agenta-ai/agenta', 0.5377708673477173, 'llm', 0), ('bigscience-workshop/promptsource', 0.5377352237701416, 'nlp', 0), ('tigerlab-ai/tiger', 0.5376387238502502, 'llm', 0), ('juncongmoo/pyllama', 0.5372142195701599, 'llm', 0), ('prefecthq/langchain-prefect', 0.536091685295105, 'llm', 0), ('salesforce/codegen', 0.5336177945137024, 'nlp', 0), ('cg123/mergekit', 0.5336092710494995, 'llm', 0), ('kubeflow/examples', 0.5328210592269897, 'ml-ops', 0), ('nat/openplayground', 0.5319477915763855, 'llm', 1), ('infinitylogesh/mutate', 0.5267210602760315, 'nlp', 1), ('keirp/automatic_prompt_engineer', 0.5263444185256958, 'llm', 1), ('reasoning-machines/pal', 0.5196791887283325, 'llm', 1), ('freedomintelligence/llmzoo', 0.5184057950973511, 'llm', 1), ('hwchase17/langchain', 0.5181885361671448, 'llm', 1), ('salesforce/xgen', 0.5180943608283997, 'llm', 1), ('lupantech/chameleon-llm', 0.5162728428840637, 'llm', 1), ('nomic-ai/gpt4all', 0.5125241875648499, 'llm', 1), ('jalammar/ecco', 0.5121808648109436, 'ml-interpretability', 0), ('tatsu-lab/stanford_alpaca', 0.5121525526046753, 'llm', 1), ('next-gpt/next-gpt', 0.5089335441589355, 'llm', 0), ('eleutherai/lm-evaluation-harness', 0.5054224729537964, 'llm', 1), ('eleutherai/the-pile', 0.5042285919189453, 'data', 0), ('selfexplainml/piml-toolbox', 0.5030021071434021, 'ml-interpretability', 0), ('hiyouga/llama-factory', 0.5014780759811401, 'llm', 1), ('hiyouga/llama-efficient-tuning', 0.5014779567718506, 'llm', 1), ('ravenscroftj/turbopilot', 0.5007780194282532, 'llm', 1)]

3

1

null

0.56

0

11

0

90

0

20

939

nlp

https://github.com/ibm/transition-amr-parser

[]

null

[]

null

ibm/transition-amr-parser

transition-amr-parser

218

47

13

Python

null

SoTA Abstract Meaning Representation (AMR) parsing with word-node alignments in Pytorch. Includes checkpoints and other tools such as statistical significance Smatch.

ibm

2024-01-10

2019-10-08

225

0.968889

https://avatars.githubusercontent.com/u/1459110?v=4

SoTA Abstract Meaning Representation (AMR) parsing with word-node alignments in Pytorch. Includes checkpoints and other tools such as statistical significance Smatch.

['abstract-meaning-representation', 'amr', 'amr-graphs', 'amr-parser', 'amr-parsing', 'machine-learning', 'nlp', 'semantic-parsing']

2023-05-09

[('allenai/allennlp', 0.5920513272285461, 'nlp', 1), ('instagram/libcst', 0.5405070781707764, 'util', 0), ('pytorch/captum', 0.5239638090133667, 'ml-interpretability', 0), ('flairnlp/flair', 0.5182547569274902, 'nlp', 2), ('salesforce/blip', 0.5134626626968384, 'diffusion', 0), ('explosion/spacy', 0.5131350159645081, 'nlp', 2), ('explosion/spacy-llm', 0.5116180777549744, 'llm', 2)]

17

2

null

1.92

1

0

52

8

0

4

1

0

90

0

20

936

web

https://github.com/rawheel/fastapi-boilerplate

[]

null

[]

null

rawheel/fastapi-boilerplate

fastapi-boilerplate

190

20

3

Python

null

Dockerized FastAPI boiler plate similar to Django code structure with views, serializers(pydantic) and model( Sqlalchemy ORM) with dockerized database(PostgresSQL) and PgAdmin. 🚀

rawheel

2023-12-27

2022-12-28

56

3.341709

null

Dockerized FastAPI boiler plate similar to Django code structure with views, serializers(pydantic) and model( Sqlalchemy ORM) with dockerized database(PostgresSQL) and PgAdmin. 🚀

['alembic', 'boilerplate', 'docker', 'docker-compose', 'fastapi', 'fastapi-boilerplate', 'fastapi-sqlalchemy', 'orm', 'poetry-python', 'postgresql', 'pydantic', 'sqlalchemy', 'sqlalchemy-orm']

2023-08-29

[('aeternalis-ingenium/fastapi-backend-template', 0.7447752356529236, 'web', 6), ('s3rius/fastapi-template', 0.6903481483459473, 'web', 4), ('asacristani/fastapi-rocket-boilerplate', 0.6740272045135498, 'template', 2), ('tiangolo/full-stack-fastapi-postgresql', 0.6298112869262695, 'template', 3), ('fastai/fastcore', 0.6172206997871399, 'util', 0), ('vitalik/django-ninja', 0.6011227369308472, 'web', 1), ('fastapi-admin/fastapi-admin', 0.5968390107154846, 'web', 1), ('tiangolo/fastapi', 0.5945311188697815, 'web', 2), ('aminalaee/sqladmin', 0.5917928218841553, 'data', 2), ('collerek/ormar', 0.5596618056297302, 'data', 5), ('tiangolo/sqlmodel', 0.5594669580459595, 'data', 3), ('martinheinz/python-project-blueprint', 0.5532102584838867, 'template', 2), ('backtick-se/cowait', 0.5353572964668274, 'util', 1), ('starlite-api/starlite', 0.533804178237915, 'web', 1), ('buuntu/fastapi-react', 0.531681478023529, 'template', 4), ('multi-py/python-gunicorn', 0.5125967264175415, 'util', 1), ('python-restx/flask-restx', 0.5100096464157104, 'web', 0), ('multi-py/python-gunicorn-uvicorn', 0.5090985894203186, 'util', 1), ('ibis-project/ibis', 0.502396821975708, 'data', 2), ('bottlepy/bottle', 0.5016167759895325, 'web', 0), ('willmcgugan/textual', 0.5006387233734131, 'term', 0)]

3

2

null

0.08

1

0

13

5

1

2

1

0

90

0

20

1,418

llm

https://github.com/night-chen/toolqa

[]

null

[]

null

night-chen/toolqa

ToolQA

178

5

Jupyter Notebook

https://arxiv.org/pdf/2306.13304.pdf

ToolQA, a new dataset to evaluate the capabilities of LLMs in answering challenging questions with external tools. It offers two levels (easy/hard) across eight real-life scenarios.

night-chen

2024-01-08

2023-06-06

34

5.235294

null

ToolQA, a new dataset to evaluate the capabilities of LLMs in answering challenging questions with external tools. It offers two levels (easy/hard) across eight real-life scenarios.

['large-language-models', 'natural-language-understanding', 'natural-lauguage-processing', 'question-answering', 'tools']

2023-08-19

[('rlancemartin/auto-evaluator', 0.641534149646759, 'llm', 1), ('deepset-ai/haystack', 0.6367813944816589, 'llm', 2), ('llmware-ai/llmware', 0.6234237551689148, 'llm', 2), ('young-geng/easylm', 0.6132665276527405, 'llm', 1), ('openbmb/toolbench', 0.6098852753639221, 'llm', 0), ('argilla-io/argilla', 0.6075721979141235, 'nlp', 0), ('mooler0410/llmspracticalguide', 0.6017274260520935, 'study', 1), ('hegelai/prompttools', 0.5785123109817505, 'llm', 1), ('nebuly-ai/nebullvm', 0.5734456181526184, 'perf', 1), ('ibm/dromedary', 0.5732406377792358, 'llm', 0), ('conceptofmind/toolformer', 0.5704953670501709, 'llm', 0), ('salesforce/xgen', 0.5676834583282471, 'llm', 1), ('paddlepaddle/paddlenlp', 0.5650957822799683, 'llm', 1), ('explosion/spacy-llm', 0.5622978806495667, 'llm', 1), ('lm-sys/fastchat', 0.5598968267440796, 'llm', 0), ('nomic-ai/gpt4all', 0.5544880032539368, 'llm', 0), ('eleutherai/the-pile', 0.5525684952735901, 'data', 0), ('openlmlab/moss', 0.549114465713501, 'llm', 1), ('whitead/paper-qa', 0.54909348487854, 'llm', 1), ('ctlllll/llm-toolmaker', 0.5460361242294312, 'llm', 0), ('tigerlab-ai/tiger', 0.5423557758331299, 'llm', 1), ('alpha-vllm/llama2-accessory', 0.542137086391449, 'llm', 0), ('agenta-ai/agenta', 0.539746880531311, 'llm', 1), ('defog-ai/sqlcoder', 0.5368439555168152, 'llm', 0), ('confident-ai/deepeval', 0.529060959815979, 'testing', 0), ('salesforce/codet5', 0.525848388671875, 'nlp', 1), ('iryna-kondr/scikit-llm', 0.522339940071106, 'llm', 0), ('bobazooba/xllm', 0.5220770835876465, 'llm', 1), ('pathwaycom/llm-app', 0.5218302607536316, 'llm', 0), ('srush/minichain', 0.5163832306861877, 'llm', 1), ('thudm/chatglm2-6b', 0.5134639143943787, 'llm', 1), ('microsoft/jarvis', 0.5131213068962097, 'llm', 0), ('dylanhogg/llmgraph', 0.5115826725959778, 'ml', 0), ('vllm-project/vllm', 0.5108919143676758, 'llm', 0), ('citadel-ai/langcheck', 0.5104190111160278, 'llm', 0), ('paddlepaddle/rocketqa', 0.5089247226715088, 'nlp', 1), ('deepset-ai/farm', 0.508597195148468, 'nlp', 1), ('aiwaves-cn/agents', 0.5083682537078857, 'nlp', 0), ('ai21labs/lm-evaluation', 0.5064146518707275, 'llm', 0), ('ofa-sys/ofa', 0.5051456093788147, 'llm', 0), ('lucidrains/toolformer-pytorch', 0.5044512152671814, 'llm', 0), ('bigscience-workshop/petals', 0.5019873976707458, 'data', 1), ('cg123/mergekit', 0.5008574724197388, 'llm', 0), ('databrickslabs/dolly', 0.5000602006912231, 'llm', 0)]

2

1

null

0.44

1

0

7

5

0

1

0

90

0

20

529

gis

https://github.com/gdaosu/lod2buildingmodel

[]

null

[]

null

gdaosu/lod2buildingmodel

LOD2BuildingModel

139

28

11

Python

null

SAT2LoD2: Automated LoD-2 Model Reconstruction from Satellite-derived DSM and Orthophoto

gdaosu

2024-01-04

2021-08-30

126

1.101925

https://avatars.githubusercontent.com/u/84828009?v=4

SAT2LoD2: Automated LoD-2 Model Reconstruction from Satellite-derived DSM and Orthophoto

[]

2023-10-10

[]

2

null

0.02

1

0

29

3

0

1

2

90

2

20

1,905

util

https://github.com/pomponchik/instld

[]

null

[]

null

pomponchik/instld

instld

44

0

2

Python

null

The simplest package management

pomponchik

2024-01-18

2023-04-02

43

1.016502

null

The simplest package management

['context-manager', 'package-manager', 'pip', 'venv']

2024-01-17

[('mitsuhiko/rye', 0.748336672782898, 'util', 1), ('indygreg/pyoxidizer', 0.7080777883529663, 'util', 1), ('pypa/hatch', 0.6995571255683899, 'util', 1), ('pdm-project/pdm', 0.6940727829933167, 'util', 1), ('python-poetry/poetry', 0.6835312843322754, 'util', 1), ('mamba-org/mamba', 0.6645695567131042, 'util', 1), ('conda/conda', 0.6547331809997559, 'util', 1), ('pypa/pipenv', 0.6500003933906555, 'util', 2), ('pypa/flit', 0.6446828842163086, 'util', 1), ('spack/spack', 0.6380254030227661, 'util', 1), ('pyenv/pyenv', 0.6027212738990784, 'util', 2), ('pypi/warehouse', 0.5979329347610474, 'util', 0), ('thoth-station/micropipenv', 0.5940703749656677, 'util', 1), ('conda/conda-build', 0.5880274772644043, 'util', 0), ('omry/omegaconf', 0.5507912039756775, 'util', 0), ('jazzband/pip-tools', 0.5494071245193481, 'util', 1), ('ofek/pyapp', 0.5397077202796936, 'util', 0), ('google/gin-config', 0.5354675650596619, 'util', 0), ('pypa/setuptools_scm', 0.5312846302986145, 'util', 0), ('pypa/pipx', 0.5103548765182495, 'util', 2), ('pyodide/micropip', 0.5101442337036133, 'util', 0), ('mamba-org/boa', 0.5095345377922058, 'util', 0), ('citadel-ai/langcheck', 0.5082795023918152, 'llm', 0), ('bndr/pipreqs', 0.5049751996994019, 'util', 0), ('shishirpatil/gorilla', 0.5003833174705505, 'llm', 0)]

2

0

null

6.29

6

10

0

2

4

2

6

4

90

0.7

20

1,411

ml-interpretability

https://github.com/xplainable/xplainable

[]

null

[]

null

xplainable/xplainable

xplainable

39

4

3

Python

https://www.xplainable.io

Real-time explainable machine learning for business optimisation

xplainable

2024-01-08

2022-09-22

70

0.551515

https://avatars.githubusercontent.com/u/98626943?v=4

Real-time explainable machine learning for business optimisation

['auto-ml', 'data-analytics', 'data-science', 'explainable-ai', 'explainable-ml', 'machine-learning', 'machine-learning-algorithms', 'prediction', 'predictions', 'shap', 'statistics', 'xai', 'xplainable']

2023-12-10

[('interpretml/interpret', 0.6733729839324951, 'ml-interpretability', 4), ('winedarksea/autots', 0.6385115385055542, 'time-series', 1), ('oegedijk/explainerdashboard', 0.627983570098877, 'ml-interpretability', 2), ('seldonio/alibi', 0.6222488880157471, 'ml-interpretability', 2), ('csinva/imodels', 0.6195234656333923, 'ml', 5), ('microsoft/nni', 0.6121291518211365, 'ml', 3), ('mosaicml/composer', 0.5985530614852905, 'ml-dl', 1), ('nccr-itmo/fedot', 0.5892693996429443, 'ml-ops', 1), ('slundberg/shap', 0.5842406153678894, 'ml-interpretability', 2), ('online-ml/river', 0.584074079990387, 'ml', 2), ('bentoml/bentoml', 0.583275318145752, 'ml-ops', 1), ('feast-dev/feast', 0.5823587775230408, 'ml-ops', 2), ('mindsdb/mindsdb', 0.5784251093864441, 'data', 1), ('alirezadir/machine-learning-interview-enlightener', 0.5782299637794495, 'study', 2), ('polyaxon/datatile', 0.5760681629180908, 'pandas', 3), ('google-research/google-research', 0.5756439566612244, 'ml', 1), ('automl/auto-sklearn', 0.5678261518478394, 'ml', 0), ('sktime/sktime', 0.5621213912963867, 'time-series', 2), ('firmai/industry-machine-learning', 0.5596107840538025, 'study', 2), ('mlflow/mlflow', 0.55943363904953, 'ml-ops', 1), ('maif/shapash', 0.551527738571167, 'ml', 3), ('awslabs/autogluon', 0.5499810576438904, 'ml', 2), ('netflix/metaflow', 0.5485888123512268, 'ml-ops', 2), ('polyaxon/polyaxon', 0.5472549796104431, 'ml-ops', 2), ('huggingface/datasets', 0.5465106964111328, 'nlp', 1), ('ml-tooling/opyrator', 0.5456689596176147, 'viz', 1), ('onnx/onnx', 0.5391144156455994, 'ml', 1), ('googlecloudplatform/vertex-ai-samples', 0.53435218334198, 'ml', 1), ('pair-code/lit', 0.5334827303886414, 'ml-interpretability', 1), ('scikit-learn/scikit-learn', 0.5327098965644836, 'ml', 3), ('microsoft/flaml', 0.5324146747589111, 'ml', 2), ('polakowo/vectorbt', 0.532191812992096, 'finance', 2), ('eugeneyan/testing-ml', 0.5317504405975342, 'testing', 1), ('rafiqhasan/auto-tensorflow', 0.5286867618560791, 'ml-dl', 1), ('huggingface/autotrain-advanced', 0.5284545421600342, 'ml', 1), ('shankarpandala/lazypredict', 0.5252819061279297, 'ml', 1), ('hpcaitech/colossalai', 0.5240747928619385, 'llm', 0), ('salesforce/merlion', 0.5224214196205139, 'time-series', 1), ('tensorflow/tensor2tensor', 0.5187652707099915, 'ml', 1), ('microsoft/qlib', 0.5183536410331726, 'finance', 1), ('keras-team/autokeras', 0.5181999802589417, 'ml-dl', 1), ('teamhg-memex/eli5', 0.517871618270874, 'ml', 2), ('ourownstory/neural_prophet', 0.5147477984428406, 'ml', 2), ('ai4finance-foundation/finrl', 0.5115347504615784, 'finance', 0), ('explosion/thinc', 0.5094534754753113, 'ml-dl', 1), ('activeloopai/deeplake', 0.5084322094917297, 'ml-ops', 2), ('marcotcr/lime', 0.5037121176719666, 'ml-interpretability', 0), ('alpa-projects/alpa', 0.5035876035690308, 'ml-dl', 1), ('kubeflow/pipelines', 0.5017673969268799, 'ml-ops', 2), ('google/trax', 0.5001837015151978, 'ml-dl', 1)]

3

1

null

5.62

32

25

16

1

5

6

5

32

2

90

0.1

20

333

util

https://github.com/clarete/forbiddenfruit

[]

null

[]

null

clarete/forbiddenfruit

forbiddenfruit

794

52

29

Python

https://clarete.li/forbiddenfruit/

Patch built-in python objects

clarete

2024-01-13

2013-04-03

564

1.405665

null

Patch built-in python objects

['monkey-patching']

2022-03-12

[('grahamdumpleton/wrapt', 0.6830537915229797, 'util', 0)]

15

5

null

0

131

27

0

90

0

19