Datasets:

dylanhogg

/

awesome-python

like 0

sim

https://github.com/netket/netket

[]

[]

[]

netket/netket

netket

Python

https://www.netket.org

Machine learning algorithms for many-body quantum systems

netket

2024-01-13

2018-04-23

https://avatars.githubusercontent.com/u/38641916?v=4

Machine learning algorithms for many-body quantum systems

['complex-neural-network', 'deep-learning', 'exact-diagonalization', 'hamiltonian', 'jax', 'machine-learning', 'machine-learning-algorithms', 'markov-chain-monte-carlo', 'monte-carlo-methods', 'neural-networks', 'physics-simulation', 'quantum', 'quantum-state-tomography', 'unitaryhack', 'variational-method', 'variational-monte-carlo']

['complex-neural-network', 'deep-learning', 'exact-diagonalization', 'hamiltonian', 'jax', 'machine-learning', 'machine-learning-algorithms', 'markov-chain-monte-carlo', 'monte-carlo-methods', 'neural-networks', 'physics-simulation', 'quantum', 'quantum-state-tomography', 'unitaryhack', 'variational-method', 'variational-monte-carlo']

2024-01-12

[('jackhidary/quantumcomputingbook', 0.626657247543335, 'study', 1), ('quantumlib/cirq', 0.5286350250244141, 'sim', 0), ('qiskit/qiskit', 0.5100851058959961, 'sim', 1)]

ml

https://github.com/deepgraphlearning/ultra

['reasoning', 'knowledge-graph']

[]

[]

deepgraphlearning/ultra

ULTRA

Python

A foundation model for knowledge graph reasoning

deepgraphlearning

2024-01-12

2023-10-23

https://avatars.githubusercontent.com/u/38018154?v=4

A foundation model for knowledge graph reasoning

[]

['knowledge-graph', 'reasoning']

2024-01-13

[('awslabs/dgl-ke', 0.5505498647689819, 'ml', 1), ('dylanhogg/llmgraph', 0.5485401749610901, 'ml', 1), ('accenture/ampligraph', 0.5169753432273865, 'data', 1), ('zjunlp/deepke', 0.5096688270568848, 'ml', 1)]

llm

https://github.com/langchain-ai/langsmith-sdk

[]

[]

[]

langchain-ai/langsmith-sdk

langsmith-sdk

Python

https://smith.langchain.com/

LangSmith Client SDK Implementations

langchain-ai

2024-01-11

2023-05-30

https://avatars.githubusercontent.com/u/126733545?v=4

LangSmith Client SDK Implementations

['evaluation', 'language-model', 'observability']

['evaluation', 'language-model', 'observability']

2024-01-13

[('langchain-ai/langsmith-cookbook', 0.6326169371604919, 'llm', 2), ('anthropics/anthropic-sdk-python', 0.5629613995552063, 'util', 1), ('gkamradt/langchain-tutorials', 0.5348765254020691, 'study', 0), ('langchain-ai/langgraph', 0.5179738998413086, 'llm', 0), ('alphasecio/langchain-examples', 0.5165998935699463, 'llm', 0), ('hwchase17/langchain', 0.5111579298973083, 'llm', 1), ('openai/tiktoken', 0.5109971761703491, 'nlp', 0), ('prefecthq/langchain-prefect', 0.5083007216453552, 'llm', 0)]

study

https://github.com/shangtongzhang/reinforcement-learning-an-introduction

[]

[]

[]

shangtongzhang/reinforcement-learning-an-introduction

reinforcement-learning-an-introduction

Python

Python Implementation of Reinforcement Learning: An Introduction

shangtongzhang

2024-01-13

2016-09-13

Python Implementation of Reinforcement Learning: An Introduction

['artificial-intelligence', 'reinforcement-learning']

['artificial-intelligence', 'reinforcement-learning']

2022-05-10

[('deepmind/acme', 0.6519054770469666, 'ml-rl', 1), ('pytorch/rl', 0.6356885433197021, 'ml-rl', 1), ('openai/gym', 0.6223573088645935, 'ml-rl', 1), ('artemyk/dynpy', 0.583624005317688, 'sim', 0), ('thu-ml/tianshou', 0.5635957717895508, 'ml-rl', 0), ('scikit-learn/scikit-learn', 0.5567522644996643, 'ml', 0), ('humancompatibleai/imitation', 0.5537171363830566, 'ml-rl', 0), ('farama-foundation/gymnasium', 0.5474168062210083, 'ml-rl', 1), ('pymc-devs/pymc3', 0.5400987863540649, 'ml', 0), ('infer-actively/pymdp', 0.5399729013442993, 'ml', 0), ('pettingzoo-team/pettingzoo', 0.5307071805000305, 'ml-rl', 1), ('nvidia-omniverse/omniisaacgymenvs', 0.5251854062080383, 'sim', 0), ('arise-initiative/robosuite', 0.5221055746078491, 'ml-rl', 1), ('facebookresearch/reagent', 0.5210154056549072, 'ml-rl', 0), ('google/dopamine', 0.5188839435577393, 'ml-rl', 0), ('denys88/rl_games', 0.5131837725639343, 'ml-rl', 1), ('probml/pyprobml', 0.5084415078163147, 'ml', 0), ('gbeced/pyalgotrade', 0.5082697868347168, 'finance', 0), ('sympy/sympy', 0.5073643326759338, 'math', 0)]

util

https://github.com/jorgebastida/awslogs

[]

[]

[]

jorgebastida/awslogs

awslogs

Python

AWS CloudWatch logs for Humans™

jorgebastida

2024-01-12

2015-01-21

AWS CloudWatch logs for Humans™

[]

[]

2020-07-10

[('rpgreen/apilogs', 0.5721848607063293, 'util', 0), ('nccgroup/scoutsuite', 0.5164755582809448, 'security', 0)]

profiling

https://github.com/pythonprofilers/memory_profiler

[]

[]

[]

pythonprofilers/memory_profiler

memory_profiler

Python

http://pypi.python.org/pypi/memory_profiler

Monitor Memory usage of Python code

pythonprofilers

2024-01-14

2011-10-14

https://avatars.githubusercontent.com/u/32906038?v=4

Monitor Memory usage of Python code

[]

[]

2023-10-23

[('pympler/pympler', 0.8423640131950378, 'perf', 0), ('pythonspeed/filprofiler', 0.664732813835144, 'profiling', 0), ('pyutils/line_profiler', 0.577487051486969, 'profiling', 0), ('nedbat/coveragepy', 0.5676537156105042, 'testing', 0), ('gaogaotiantian/viztracer', 0.5663729906082153, 'profiling', 0), ('rubik/radon', 0.5579990148544312, 'util', 0), ('dgilland/cacheout', 0.555606484413147, 'perf', 0), ('joblib/joblib', 0.5550679564476013, 'util', 0), ('bloomberg/memray', 0.5463239550590515, 'profiling', 0), ('alexmojaki/heartrate', 0.5310880541801453, 'debug', 0), ('landscapeio/prospector', 0.5307861566543579, 'util', 0), ('benfred/py-spy', 0.5219977498054504, 'profiling', 0), ('jendrikseipp/vulture', 0.5172761678695679, 'util', 0), ('pytables/pytables', 0.5096424221992493, 'data', 0), ('cython/cython', 0.5089790225028992, 'util', 0), ('erotemic/ubelt', 0.5078474879264832, 'util', 0)]

diffusion

https://github.com/salesforce/blip

[]

[]

[]

salesforce/blip

BLIP

Jupyter Notebook

PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

salesforce

2024-01-13

2022-01-25

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

PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

['image-captioning', 'image-text-retrieval', 'vision-and-language-pre-training', 'vision-language', 'vision-language-transformer', 'visual-question-answering', 'visual-reasoning']

['image-captioning', 'image-text-retrieval', 'vision-and-language-pre-training', 'vision-language', 'vision-language-transformer', 'visual-question-answering', 'visual-reasoning']

2022-09-20

[('nvlabs/prismer', 0.6734409928321838, 'diffusion', 1), ('ofa-sys/ofa', 0.6362955570220947, 'llm', 3), ('nvlabs/gcvit', 0.5959486365318298, 'diffusion', 0), ('pytorch/ignite', 0.5812243223190308, 'ml-dl', 0), ('lucidrains/imagen-pytorch', 0.579346776008606, 'ml-dl', 0), ('jerryyli/valhalla-nmt', 0.5753607749938965, 'ml-dl', 0), ('graykode/nlp-tutorial', 0.5725541710853577, 'study', 0), ('allenai/allennlp', 0.5719388127326965, 'nlp', 0), ('openai/finetune-transformer-lm', 0.5705159902572632, 'llm', 0), ('huggingface/transformers', 0.5568798184394836, 'nlp', 0), ('deci-ai/super-gradients', 0.5560441613197327, 'ml-dl', 0), ('alibaba/easynlp', 0.553688108921051, 'nlp', 0), ('openai/clip', 0.5517219305038452, 'ml-dl', 0), ('next-gpt/next-gpt', 0.5469942092895508, 'llm', 0), ('lightly-ai/lightly', 0.5466323494911194, 'ml', 0), ('srush/minichain', 0.5436856746673584, 'llm', 0), ('hysts/pytorch_image_classification', 0.5436573624610901, 'ml-dl', 0), ('lucidrains/dalle2-pytorch', 0.5417680740356445, 'diffusion', 0), ('intel/intel-extension-for-pytorch', 0.5368949770927429, 'perf', 0), ('mrdbourke/pytorch-deep-learning', 0.5360457897186279, 'study', 0), ('thudm/glm-130b', 0.5314812064170837, 'llm', 0), ('openai/image-gpt', 0.5261111855506897, 'llm', 0), ('eleutherai/lm-evaluation-harness', 0.5254507064819336, 'llm', 0), ('microsoft/lora', 0.52529376745224, 'llm', 0), ('skorch-dev/skorch', 0.5246773362159729, 'ml-dl', 0), ('roboflow/notebooks', 0.523171603679657, 'study', 0), ('google-research/electra', 0.5222206115722656, 'ml-dl', 0), ('nvidia/apex', 0.5196071267127991, 'ml-dl', 0), ('rasbt/machine-learning-book', 0.5187211036682129, 'study', 0), ('microsoft/unilm', 0.5181792378425598, 'nlp', 0), ('databrickslabs/dolly', 0.516700029373169, 'llm', 0), ('pytorch-labs/gpt-fast', 0.5148594379425049, 'llm', 0), ('ibm/transition-amr-parser', 0.5134626626968384, 'nlp', 0), ('reasoning-machines/pal', 0.512751042842865, 'llm', 0), ('pytorch/captum', 0.5107000470161438, 'ml-interpretability', 0), ('bigscience-workshop/megatron-deepspeed', 0.5101778507232666, 'llm', 0), ('microsoft/megatron-deepspeed', 0.5101778507232666, 'llm', 0), ('deepset-ai/farm', 0.5072547197341919, 'nlp', 0), ('timdettmers/bitsandbytes', 0.5067077875137329, 'util', 0), ('optimalscale/lmflow', 0.5060290694236755, 'llm', 0), ('lm-sys/fastchat', 0.5055869817733765, 'llm', 0), ('microsoft/semi-supervised-learning', 0.5032647848129272, 'ml', 0), ('huggingface/autotrain-advanced', 0.5011047124862671, 'ml', 0), ('nvidia/deeplearningexamples', 0.5009772181510925, 'ml-dl', 0), ('bytedance/lightseq', 0.5009039044380188, 'nlp', 0), ('lucidrains/vit-pytorch', 0.500484049320221, 'ml-dl', 0), ('rwightman/pytorch-image-models', 0.5003149509429932, 'ml-dl', 0), ('facebookresearch/mmf', 0.5001189112663269, 'ml-dl', 0)]

finance

https://github.com/polakowo/vectorbt

[]

[]

[]

polakowo/vectorbt

vectorbt

Python

https://vectorbt.dev

Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.

polakowo

2024-01-14

2017-11-14

Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.

['algorithmic-trading', 'algorithmic-traiding', 'backtesting', 'cryptocurrency', 'data-science', 'data-visualization', 'finance', 'machine-learning', 'portfolio-optimization', 'quantitative-analysis', 'quantitative-finance', 'time-series', 'trading', 'trading-strategies']

['algorithmic-trading', 'algorithmic-traiding', 'backtesting', 'cryptocurrency', 'data-science', 'data-visualization', 'finance', 'machine-learning', 'portfolio-optimization', 'quantitative-analysis', 'quantitative-finance', 'time-series', 'trading', 'trading-strategies']

2023-09-30

[('idanya/algo-trader', 0.6762666702270508, 'finance', 3), ('openbb-finance/openbbterminal', 0.6711627244949341, 'finance', 4), ('quantconnect/lean', 0.6572080254554749, 'finance', 3), ('kernc/backtesting.py', 0.6390688419342041, 'finance', 5), ('ranaroussi/quantstats', 0.6319853663444519, 'finance', 4), ('zvtvz/zvt', 0.6255056858062744, 'finance', 6), ('ai4finance-foundation/finrl', 0.6179881691932678, 'finance', 2), ('freqtrade/freqtrade', 0.606457531452179, 'crypto', 2), ('numerai/example-scripts', 0.5881688594818115, 'finance', 2), ('gbeced/basana', 0.5863175392150879, 'finance', 3), ('cuemacro/finmarketpy', 0.5674868822097778, 'finance', 1), ('polyaxon/datatile', 0.5571960806846619, 'pandas', 2), ('stefmolin/stock-analysis', 0.5499805212020874, 'finance', 0), ('xplainable/xplainable', 0.532191812992096, 'ml-interpretability', 2), ('gbeced/pyalgotrade', 0.5312750935554504, 'finance', 0), ('quantopian/zipline', 0.519047737121582, 'finance', 1), ('google/tf-quant-finance', 0.5182610154151917, 'finance', 2), ('ccxt/ccxt', 0.5177646279335022, 'crypto', 2), ('mementum/backtrader', 0.5124863982200623, 'finance', 2), ('goldmansachs/gs-quant', 0.5025342106819153, 'finance', 1)]

llm

https://github.com/yizhongw/self-instruct

[]

[]

[]

yizhongw/self-instruct

self-instruct

Python

Aligning pretrained language models with instruction data generated by themselves.

yizhongw

2024-01-14

2022-12-20

Aligning pretrained language models with instruction data generated by themselves.

['general-purpose-model', 'instruction-tuning', 'language-model']

['general-purpose-model', 'instruction-tuning', 'language-model']

2023-03-27

[('cg123/mergekit', 0.6453080177307129, 'llm', 0), ('huawei-noah/pretrained-language-model', 0.6405363082885742, 'nlp', 0), ('tatsu-lab/stanford_alpaca', 0.5977901816368103, 'llm', 1), ('tiger-ai-lab/mammoth', 0.5941129922866821, 'llm', 1), ('openai/finetune-transformer-lm', 0.5861937999725342, 'llm', 0), ('ctlllll/llm-toolmaker', 0.5800374150276184, 'llm', 1), ('neulab/prompt2model', 0.5685259699821472, 'llm', 1), ('keirp/automatic_prompt_engineer', 0.5658340454101562, 'llm', 1), ('guidance-ai/guidance', 0.5607982873916626, 'llm', 1), ('juncongmoo/pyllama', 0.5553812384605408, 'llm', 0), ('hannibal046/awesome-llm', 0.5532945394515991, 'study', 1), ('declare-lab/instruct-eval', 0.550851047039032, 'llm', 0), ('freedomintelligence/llmzoo', 0.5435721278190613, 'llm', 1), ('openbmb/toolbench', 0.542241096496582, 'llm', 1), ('thudm/glm-130b', 0.5371110439300537, 'llm', 0), ('hazyresearch/h3', 0.534803569316864, 'llm', 0), ('ai21labs/lm-evaluation', 0.5341971516609192, 'llm', 1), ('srush/minichain', 0.5332199931144714, 'llm', 0), ('hiyouga/llama-factory', 0.5308533310890198, 'llm', 2), ('hiyouga/llama-efficient-tuning', 0.530853271484375, 'llm', 2), ('jonasgeiping/cramming', 0.5202336311340332, 'nlp', 1), ('optimalscale/lmflow', 0.5196613073348999, 'llm', 1), ('lianjiatech/belle', 0.5185281038284302, 'llm', 0), ('eleutherai/lm-evaluation-harness', 0.513164758682251, 'llm', 1), ('infinitylogesh/mutate', 0.5120193362236023, 'nlp', 1), ('luohongyin/sail', 0.5114395022392273, 'llm', 1), ('bigscience-workshop/biomedical', 0.5062916278839111, 'data', 0), ('thudm/codegeex', 0.5008969902992249, 'llm', 0)]

ml-dl

https://github.com/facebookresearch/pytorch-biggraph

[]

[]

[]

facebookresearch/pytorch-biggraph

PyTorch-BigGraph

Python

https://torchbiggraph.readthedocs.io/

Generate embeddings from large-scale graph-structured data.

facebookresearch

2024-01-11

2018-10-01

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

Generate embeddings from large-scale graph-structured data.

[]

[]

2024-01-06

[('h4kor/graph-force', 0.6328504085540771, 'graph', 0), ('awslabs/dgl-ke', 0.6120842099189758, 'ml', 0), ('koaning/embetter', 0.5848337411880493, 'data', 0), ('vhranger/nodevectors', 0.5276350975036621, 'viz', 0), ('huggingface/text-embeddings-inference', 0.5272315144538879, 'llm', 0)]

nlp

https://github.com/life4/textdistance

[]

[]

[]

life4/textdistance

textdistance

Python

📐 Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.

life4

2024-01-12

2017-05-05

https://avatars.githubusercontent.com/u/48201596?v=4

📐 Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.

['algorithm', 'algorithms', 'damerau-levenshtein', 'damerau-levenshtein-distance', 'diff', 'distance', 'distance-calculation', 'hamming-distance', 'jellyfish', 'levenshtein', 'levenshtein-distance', 'textdistance']

['algorithm', 'algorithms', 'damerau-levenshtein', 'damerau-levenshtein-distance', 'diff', 'distance', 'distance-calculation', 'hamming-distance', 'jellyfish', 'levenshtein', 'levenshtein-distance', 'textdistance']

2023-12-29

[('jamesturk/jellyfish', 0.6177361011505127, 'nlp', 1), ('scipy/scipy', 0.5068709850311279, 'math', 1), ('spotify/annoy', 0.5062219500541687, 'ml', 0)]

study

https://github.com/cosmicpython/book

[]

[]

[]

cosmicpython/book

book

Python

https://www.cosmicpython.com

A Book about Pythonic Application Architecture Patterns for Managing Complexity. Cosmos is the Opposite of Chaos you see. O'R. wouldn't actually let us call it "Cosmic Python" tho.

cosmicpython

2024-01-13

2019-02-05

https://avatars.githubusercontent.com/u/47350834?v=4

A Book about Pythonic Application Architecture Patterns for Managing Complexity. Cosmos is the Opposite of Chaos you see. O'R. wouldn't actually let us call it "Cosmic Python" tho.

[]

[]

2023-09-11

[('roban/cosmolopy', 0.5579319000244141, 'sim', 0), ('faif/python-patterns', 0.532017707824707, 'util', 0), ('google/gin-config', 0.5146122574806213, 'util', 0), ('timofurrer/awesome-asyncio', 0.5105115175247192, 'study', 0), ('eleutherai/pyfra', 0.5096278190612793, 'ml', 0), ('python/cpython', 0.5018055438995361, 'util', 0)]

pandas

https://github.com/adamerose/pandasgui

[]

[]

[]

adamerose/pandasgui

PandasGUI

Python

A GUI for Pandas DataFrames

adamerose

2024-01-11

2019-06-12

A GUI for Pandas DataFrames

['dataframe', 'gui', 'pandas', 'viewer']

['dataframe', 'gui', 'pandas', 'viewer']

2023-12-07

[('tkrabel/bamboolib', 0.8184458017349243, 'pandas', 1), ('lux-org/lux', 0.6828799843788147, 'viz', 1), ('kanaries/pygwalker', 0.6812300682067871, 'pandas', 2), ('holoviz/panel', 0.6248031854629517, 'viz', 1), ('man-group/dtale', 0.6185036897659302, 'viz', 1), ('twopirllc/pandas-ta', 0.5920196771621704, 'finance', 2), ('beeware/toga', 0.590601921081543, 'gui', 1), ('mwaskom/seaborn', 0.5795894861221313, 'viz', 1), ('quantopian/qgrid', 0.5642687678337097, 'jupyter', 0), ('rsheftel/pandas_market_calendars', 0.5483811497688293, 'finance', 1), ('jmcarpenter2/swifter', 0.5478309988975525, 'pandas', 1), ('parthjadhav/tkinter-designer', 0.5451450943946838, 'gui', 1), ('pola-rs/polars', 0.5391742587089539, 'pandas', 1), ('blaze/blaze', 0.5380495190620422, 'pandas', 0), ('nalepae/pandarallel', 0.5294705629348755, 'pandas', 1), ('eleutherai/pyfra', 0.5291572213172913, 'ml', 0), ('zsailer/pandas_flavor', 0.5256001949310303, 'pandas', 1), ('federicoceratto/dashing', 0.5236207246780396, 'term', 0), ('scikit-learn-contrib/sklearn-pandas', 0.5230746865272522, 'pandas', 0), ('modin-project/modin', 0.5174034237861633, 'perf', 2), ('geopandas/geopandas', 0.51722252368927, 'gis', 1), ('hazyresearch/meerkat', 0.5161508321762085, 'viz', 1), ('cmudig/autoprofiler', 0.5127207040786743, 'jupyter', 1), ('pandas-dev/pandas', 0.5116315484046936, 'pandas', 2), ('rapidsai/cudf', 0.5097667574882507, 'pandas', 2), ('holoviz/hvplot', 0.5072020888328552, 'pandas', 0), ('bokeh/bokeh', 0.5031503438949585, 'viz', 0), ('holoviz/spatialpandas', 0.5028727054595947, 'pandas', 1), ('mementum/bta-lib', 0.5000632405281067, 'finance', 0)]

data

https://github.com/pyeve/cerberus

[]

[]

[]

pyeve/cerberus

cerberus

Python

http://python-cerberus.org

Lightweight, extensible data validation library for Python

pyeve

2024-01-12

2012-10-10

https://avatars.githubusercontent.com/u/26229868?v=4

Lightweight, extensible data validation library for Python

['data-validation']

['data-validation']

2023-10-23

[('pydantic/pydantic', 0.7001333832740784, 'util', 0), ('wtforms/wtforms', 0.657631516456604, 'web', 0), ('marshmallow-code/marshmallow', 0.6555448174476624, 'util', 0), ('tensorflow/data-validation', 0.6110429167747498, 'ml-ops', 0), ('unionai-oss/pandera', 0.6107540726661682, 'pandas', 1), ('python-odin/odin', 0.6078689098358154, 'util', 0), ('pytoolz/toolz', 0.5941500067710876, 'util', 0), ('pandas-dev/pandas', 0.5807719230651855, 'pandas', 0), ('rasbt/mlxtend', 0.5806938409805298, 'ml', 0), ('pylons/colander', 0.5786774754524231, 'util', 0), ('legrandin/pycryptodome', 0.5516589283943176, 'util', 0), ('andialbrecht/sqlparse', 0.5441608428955078, 'data', 0), ('wolever/parameterized', 0.5334105491638184, 'testing', 0), ('collerek/ormar', 0.5298268795013428, 'data', 0), ('snyk/faker-security', 0.5294828414916992, 'security', 0), ('pycaret/pycaret', 0.5282540321350098, 'ml', 0), ('lk-geimfari/mimesis', 0.5154099464416504, 'data', 0), ('pypy/pypy', 0.5118589997291565, 'util', 0), ('imageio/imageio', 0.5100802183151245, 'util', 0), ('facebook/pyre-check', 0.5100794434547424, 'typing', 0), ('pyston/pyston', 0.5083901882171631, 'util', 0), ('pmorissette/bt', 0.507025420665741, 'finance', 0), ('pytables/pytables', 0.5037830471992493, 'data', 0), ('featurelabs/featuretools', 0.503200888633728, 'ml', 0)]

finance

https://github.com/zvtvz/zvt

[]

[]

[]

zvtvz/zvt

zvt

Python

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

modular quant framework.

zvtvz

2024-01-12

2019-04-04

https://avatars.githubusercontent.com/u/49115722?v=4

modular quant framework.

['algorithmic-trading', 'backtesting', 'cryptocurrency', 'fintech', 'fundamental-analysis', 'machine-learning', 'ml', 'quant', 'quantitative-finance', 'quantitative-trading', 'stock', 'stock-market', 'technical-analysis', 'trading-bot', 'trading-platform', 'trading-strategies', 'zvt']

['algorithmic-trading', 'backtesting', 'cryptocurrency', 'fintech', 'fundamental-analysis', 'machine-learning', 'ml', 'quant', 'quantitative-finance', 'quantitative-trading', 'stock', 'stock-market', 'technical-analysis', 'trading-bot', 'trading-platform', 'trading-strategies', 'zvt']

2023-11-09

[('ranaroussi/quantstats', 0.6442165970802307, 'finance', 4), ('quantconnect/lean', 0.6376045942306519, 'finance', 3), ('polakowo/vectorbt', 0.6255056858062744, 'finance', 6), ('goldmansachs/gs-quant', 0.6025742888450623, 'finance', 1), ('numerai/example-scripts', 0.5974596738815308, 'finance', 2), ('microsoft/qlib', 0.5502883791923523, 'finance', 6), ('google/tf-quant-finance', 0.5456732511520386, 'finance', 1), ('kernc/backtesting.py', 0.5392759442329407, 'finance', 3), ('idanya/algo-trader', 0.5369071364402771, 'finance', 5), ('ai4finance-foundation/finrl', 0.5343793034553528, 'finance', 2), ('openbb-finance/openbbterminal', 0.5273526310920715, 'finance', 3), ('quantopian/zipline', 0.5200475454330444, 'finance', 2), ('stefmolin/stock-analysis', 0.5058038830757141, 'finance', 2), ('gbeced/basana', 0.5045093297958374, 'finance', 4)]

testing

https://github.com/cobrateam/splinter

[]

[]

[]

cobrateam/splinter

splinter

Python

http://splinter.readthedocs.org/en/stable/index.html

splinter - python test framework for web applications

cobrateam

2024-01-14

2010-09-18

https://avatars.githubusercontent.com/u/403905?v=4

splinter - python test framework for web applications

['automation', 'selenium', 'webdriver']

['automation', 'selenium', 'webdriver']

2024-01-09

[('seleniumbase/seleniumbase', 0.7703961730003357, 'testing', 2), ('microsoft/playwright-python', 0.6916419267654419, 'testing', 1), ('roniemartinez/dude', 0.5549781918525696, 'util', 1), ('masoniteframework/masonite', 0.5544414520263672, 'web', 0), ('wolever/parameterized', 0.5428141355514526, 'testing', 0), ('buildbot/buildbot', 0.5403817296028137, 'util', 0), ('scrapy/scrapy', 0.5401042699813843, 'data', 0), ('alirezamika/autoscraper', 0.5292969346046448, 'data', 1), ('webpy/webpy', 0.5233193635940552, 'web', 0), ('pallets/flask', 0.5134128332138062, 'web', 0), ('nedbat/coveragepy', 0.512545645236969, 'testing', 0), ('r0x0r/pywebview', 0.5121274590492249, 'gui', 0), ('eleutherai/pyfra', 0.5119724273681641, 'ml', 0), ('reflex-dev/reflex', 0.5109301805496216, 'web', 0)]

ml

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

[]

[]

[]

scikit-learn-contrib/hdbscan

hdbscan

Jupyter Notebook

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

A high performance implementation of HDBSCAN clustering.

scikit-learn-contrib

2024-01-12

2015-04-22

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

A high performance implementation of HDBSCAN clustering.

['cluster-analysis', 'clustering', 'clustering-algorithm', 'clustering-evaluation', 'machine-learning', 'machine-learning-algorithms']

['cluster-analysis', 'clustering', 'clustering-algorithm', 'clustering-evaluation', 'machine-learning', 'machine-learning-algorithms']

2023-11-20

[]

perf

https://github.com/tlkh/asitop

[]

[]

[]

tlkh/asitop

asitop

Python

https://tlkh.github.io/asitop/

Perf monitoring CLI tool for Apple Silicon

tlkh

2024-01-14

2021-10-27

Perf monitoring CLI tool for Apple Silicon

['apple-silicon', 'cli', 'cpu', 'gpu', 'm1', 'macos']

['apple-silicon', 'cli', 'cpu', 'gpu', 'm1', 'macos']

2023-01-24

[('ml-explore/mlx', 0.5542373061180115, 'ml', 1), ('tlkh/tf-metal-experiments', 0.540374219417572, 'perf', 2), ('mrdbourke/m1-machine-learning-test', 0.5042293071746826, 'ml', 0)]

ml-interpretability

https://github.com/seldonio/alibi

[]

[]

[]

seldonio/alibi

alibi

Python

https://docs.seldon.io/projects/alibi/en/stable/

Algorithms for explaining machine learning models

seldonio

2024-01-13

2019-02-26

https://avatars.githubusercontent.com/u/10297834?v=4

Algorithms for explaining machine learning models

['counterfactual', 'explanations', 'interpretability', 'machine-learning', 'xai']

['counterfactual', 'explanations', 'interpretability', 'machine-learning', 'xai']

2023-11-13

[('marcotcr/lime', 0.7131057977676392, 'ml-interpretability', 0), ('maif/shapash', 0.6979689002037048, 'ml', 2), ('carla-recourse/carla', 0.6956292986869812, 'ml', 2), ('slundberg/shap', 0.6683449745178223, 'ml-interpretability', 2), ('interpretml/interpret', 0.6674531102180481, 'ml-interpretability', 3), ('pair-code/lit', 0.6469577550888062, 'ml-interpretability', 1), ('teamhg-memex/eli5', 0.6379401683807373, 'ml', 1), ('xplainable/xplainable', 0.6222488880157471, 'ml-interpretability', 2), ('oegedijk/explainerdashboard', 0.6191368699073792, 'ml-interpretability', 1), ('csinva/imodels', 0.6186242699623108, 'ml', 2), ('tensorflow/lucid', 0.5702253580093384, 'ml-interpretability', 2), ('tensorflow/data-validation', 0.5581661462783813, 'ml-ops', 0), ('rafiqhasan/auto-tensorflow', 0.5504202842712402, 'ml-dl', 1), ('huggingface/evaluate', 0.5494807958602905, 'ml', 1), ('ml-for-high-risk-apps-book/machine-learning-for-high-risk-applications-book', 0.545021116733551, 'study', 1), ('patchy631/machine-learning', 0.5448355078697205, 'ml', 0), ('eleutherai/pythia', 0.5343512296676636, 'ml-interpretability', 1), ('eugeneyan/testing-ml', 0.5242266654968262, 'testing', 1), ('selfexplainml/piml-toolbox', 0.5072975158691406, 'ml-interpretability', 0), ('pytorch/captum', 0.5067712664604187, 'ml-interpretability', 1), ('microsoft/robustlearn', 0.5054094791412354, 'time-series', 0), ('google-research/google-research', 0.5054081678390503, 'ml', 1), ('alirezadir/machine-learning-interview-enlightener', 0.5047518014907837, 'study', 1), ('linkedin/fasttreeshap', 0.5031470060348511, 'ml', 2)]

util

https://github.com/dateutil/dateutil

[]

[]

[]

dateutil/dateutil

dateutil

Python

Useful extensions to the standard Python datetime features

dateutil

2024-01-13

2014-11-19

https://avatars.githubusercontent.com/u/9849410?v=4

Useful extensions to the standard Python datetime features

['datetime', 'parsing', 'time', 'timezones']

['datetime', 'parsing', 'time', 'timezones']

2023-11-13

[('sdispater/pendulum', 0.7966391444206238, 'util', 3), ('scrapinghub/dateparser', 0.7123557329177856, 'util', 2), ('arrow-py/arrow', 0.7106708884239197, 'util', 3), ('stub42/pytz', 0.621961236000061, 'util', 0), ('rjt1990/pyflux', 0.5882995128631592, 'time-series', 0), ('google/temporian', 0.5748814344406128, 'time-series', 0), ('alkaline-ml/pmdarima', 0.536246657371521, 'time-series', 0), ('tdameritrade/stumpy', 0.530729353427887, 'time-series', 0), ('rasbt/watermark', 0.5191126465797424, 'util', 0), ('firmai/atspy', 0.5173526406288147, 'time-series', 0), ('pytoolz/toolz', 0.5082383155822754, 'util', 0), ('pastas/pastas', 0.502344012260437, 'time-series', 0)]

web

https://github.com/masoniteframework/masonite

[]

[]

[]

masoniteframework/masonite

masonite

Python

http://docs.masoniteproject.com

The Modern And Developer Centric Python Web Framework. Be sure to read the documentation and join the Discord channel for questions: https://discord.gg/TwKeFahmPZ

masoniteframework

2024-01-13

2017-12-06

https://avatars.githubusercontent.com/u/35498523?v=4

The Modern And Developer Centric Python Web Framework. Be sure to read the documentation and join the Discord channel for questions: https://discord.gg/TwKeFahmPZ

['framework', 'masonite', 'web', 'webframework']

['framework', 'masonite', 'web', 'webframework']

2024-01-01

[('pallets/flask', 0.7340575456619263, 'web', 0), ('klen/muffin', 0.7306077480316162, 'web', 1), ('webpy/webpy', 0.7172554731369019, 'web', 0), ('bottlepy/bottle', 0.6854233741760254, 'web', 0), ('pylons/pyramid', 0.6714824438095093, 'web', 0), ('eleutherai/pyfra', 0.6563796401023865, 'ml', 0), ('pyscript/pyscript', 0.6563617587089539, 'web', 0), ('willmcgugan/textual', 0.6535159349441528, 'term', 1), ('falconry/falcon', 0.6416914463043213, 'web', 2), ('pallets/werkzeug', 0.6412118673324585, 'web', 0), ('r0x0r/pywebview', 0.6317577362060547, 'gui', 0), ('cherrypy/cherrypy', 0.6259151697158813, 'web', 0), ('reflex-dev/reflex', 0.6244274973869324, 'web', 1), ('clips/pattern', 0.6094305515289307, 'nlp', 0), ('pallets/quart', 0.607140302658081, 'web', 0), ('timofurrer/awesome-asyncio', 0.6026535034179688, 'study', 0), ('scrapy/scrapy', 0.6013022065162659, 'data', 1), ('neoteroi/blacksheep', 0.5978954434394836, 'web', 2), ('encode/httpx', 0.5954501628875732, 'web', 0), ('pypy/pypy', 0.5918770432472229, 'util', 0), ('python/cpython', 0.5917008519172668, 'util', 0), ('holoviz/panel', 0.5894260406494141, 'viz', 0), ('requests/toolbelt', 0.5709607005119324, 'util', 0), ('dylanhogg/awesome-python', 0.5680248141288757, 'study', 0), ('ethereum/web3.py', 0.5657337307929993, 'crypto', 0), ('indico/indico', 0.5639700293540955, 'web', 0), ('encode/uvicorn', 0.5623204708099365, 'web', 0), ('roniemartinez/dude', 0.560670018196106, 'util', 1), ('bokeh/bokeh', 0.5602609515190125, 'viz', 0), ('hugapi/hug', 0.5562730431556702, 'util', 0), ('emmett-framework/emmett', 0.5554807186126709, 'web', 0), ('cobrateam/splinter', 0.5544414520263672, 'testing', 0), ('pyodide/pyodide', 0.5539262294769287, 'util', 0), ('seleniumbase/seleniumbase', 0.5500764846801758, 'testing', 0), ('buildbot/buildbot', 0.549967885017395, 'util', 0), ('microsoft/playwright-python', 0.549170970916748, 'testing', 0), ('pytoolz/toolz', 0.5471121668815613, 'util', 0), ('plotly/dash', 0.5463806390762329, 'viz', 0), ('1200wd/bitcoinlib', 0.5462782979011536, 'crypto', 0), ('alirn76/panther', 0.5462374091148376, 'web', 1), ('hoffstadt/dearpygui', 0.5427703261375427, 'gui', 0), ('urwid/urwid', 0.5398597121238708, 'term', 0), ('plotly/plotly.py', 0.5396803021430969, 'viz', 0), ('backtick-se/cowait', 0.5356951951980591, 'util', 0), ('amaargiru/pyroad', 0.5333690643310547, 'study', 0), ('pywebio/pywebio', 0.5325572490692139, 'web', 0), ('flet-dev/flet', 0.5303350687026978, 'web', 1), ('adafruit/circuitpython', 0.5271365642547607, 'util', 0), ('minimaxir/simpleaichat', 0.5257116556167603, 'llm', 0), ('simple-salesforce/simple-salesforce', 0.5242258310317993, 'data', 0), ('primal100/pybitcointools', 0.5237247347831726, 'crypto', 0), ('pyston/pyston', 0.523208498954773, 'util', 0), ('cohere-ai/notebooks', 0.5226303935050964, 'llm', 0), ('tornadoweb/tornado', 0.5226184725761414, 'web', 0), ('voila-dashboards/voila', 0.5220005512237549, 'jupyter', 0), ('man-c/pycoingecko', 0.5191899538040161, 'crypto', 0), ('pyinfra-dev/pyinfra', 0.5186633467674255, 'util', 0), ('python-restx/flask-restx', 0.5184113383293152, 'web', 0), ('eventual-inc/daft', 0.5179644227027893, 'pandas', 0), ('psf/requests', 0.5165953040122986, 'web', 0), ('replicate/replicate-python', 0.5155618190765381, 'ml', 0), ('pysimplegui/pysimplegui', 0.5136278867721558, 'gui', 0), ('ta-lib/ta-lib-python', 0.512328028678894, 'finance', 0), ('fchollet/deep-learning-with-python-notebooks', 0.5106345415115356, 'study', 0), ('websocket-client/websocket-client', 0.5101653933525085, 'web', 0), ('sqlalchemy/mako', 0.5073601603507996, 'template', 0), ('alirezamika/autoscraper', 0.5066377520561218, 'data', 0), ('nficano/python-lambda', 0.5054439306259155, 'util', 0), ('pylons/waitress', 0.5041007399559021, 'web', 0), ('goldmansachs/gs-quant', 0.5026025176048279, 'finance', 0), ('kivy/kivy', 0.5023773312568665, 'util', 0), ('maartenbreddels/ipyvolume', 0.5016263127326965, 'jupyter', 0), ('tkrabel/bamboolib', 0.5014203190803528, 'pandas', 0)]

data

https://github.com/accenture/ampligraph

['knowledge-graph']

[]

[]

accenture/ampligraph

AmpliGraph

Python

Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

accenture

2024-01-13

2019-01-09

https://avatars.githubusercontent.com/u/10454368?v=4

Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

['graph-embeddings', 'graph-representation-learning', 'knowledge-graph', 'knowledge-graph-embeddings', 'machine-learning', 'relational-learning', 'representation-learning']

['graph-embeddings', 'graph-representation-learning', 'knowledge-graph', 'knowledge-graph-embeddings', 'machine-learning', 'relational-learning', 'representation-learning']

2023-07-12

[('awslabs/dgl-ke', 0.7346105575561523, 'ml', 2), ('dmlc/dgl', 0.6121450066566467, 'ml-dl', 0), ('zjunlp/deepke', 0.593433678150177, 'ml', 1), ('dylanhogg/llmgraph', 0.5810795426368713, 'ml', 1), ('pyg-team/pytorch_geometric', 0.58009934425354, 'ml-dl', 0), ('a-r-j/graphein', 0.5756738185882568, 'sim', 0), ('strawberry-graphql/strawberry', 0.5520169734954834, 'web', 0), ('stellargraph/stellargraph', 0.5474543571472168, 'graph', 1), ('chandlerbang/awesome-self-supervised-gnn', 0.5335105061531067, 'study', 1), ('graphistry/pygraphistry', 0.532095193862915, 'data', 0), ('benedekrozemberczki/tigerlily', 0.5214887857437134, 'ml-dl', 2), ('deepgraphlearning/ultra', 0.5169753432273865, 'ml', 1), ('jina-ai/vectordb', 0.5142897367477417, 'data', 0), ('qdrant/fastembed', 0.5070711970329285, 'ml', 0), ('danielegrattarola/spektral', 0.5038337707519531, 'ml-dl', 0)]

ml-interpretability

https://github.com/jalammar/ecco

[]

[]

[]

jalammar/ecco

ecco

Jupyter Notebook

https://ecco.readthedocs.io

Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0).

jalammar

2024-01-12

2020-11-07

Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0).

['explorables', 'language-models', 'natural-language-processing', 'nlp', 'pytorch', 'visualization']

['explorables', 'language-models', 'natural-language-processing', 'nlp', 'pytorch', 'visualization']

2023-08-10

[('allenai/allennlp', 0.5496200323104858, 'nlp', 3), ('alibaba/easynlp', 0.549338698387146, 'nlp', 2), ('koaning/whatlies', 0.5461040735244751, 'nlp', 1), ('brandtbucher/specialist', 0.5420230031013489, 'perf', 0), ('hannibal046/awesome-llm', 0.5404885411262512, 'study', 0), ('lianjiatech/belle', 0.5401182174682617, 'llm', 0), ('guidance-ai/guidance', 0.5360292196273804, 'llm', 0), ('vizzuhq/ipyvizzu', 0.5353596806526184, 'jupyter', 0), ('freedomintelligence/llmzoo', 0.5306503772735596, 'llm', 0), ('jbesomi/texthero', 0.5305410623550415, 'nlp', 1), ('ai21labs/lm-evaluation', 0.5280724167823792, 'llm', 0), ('opengeos/leafmap', 0.5254456996917725, 'gis', 0), ('bigscience-workshop/megatron-deepspeed', 0.5253652930259705, 'llm', 0), ('microsoft/megatron-deepspeed', 0.5253652930259705, 'llm', 0), ('lm-sys/fastchat', 0.5213225483894348, 'llm', 0), ('bokeh/bokeh', 0.5211085081100464, 'viz', 1), ('maartengr/bertopic', 0.5192667841911316, 'nlp', 1), ('explosion/spacy', 0.5182880163192749, 'nlp', 2), ('flairnlp/flair', 0.517105758190155, 'nlp', 3), ('ctlllll/llm-toolmaker', 0.5147423148155212, 'llm', 0), ('explosion/spacy-models', 0.513950765132904, 'nlp', 2), ('conceptofmind/toolformer', 0.5121808648109436, 'llm', 0), ('openlmlab/moss', 0.5079621076583862, 'llm', 1), ('graykode/nlp-tutorial', 0.5071130990982056, 'study', 3), ('killianlucas/open-interpreter', 0.5064843893051147, 'llm', 0), ('holoviz/holoviz', 0.5038740634918213, 'viz', 0), ('plotly/plotly.py', 0.5030951499938965, 'viz', 1)]

util

https://github.com/numba/llvmlite

[]

[]

[]

numba/llvmlite

llvmlite

Python

http://llvmlite.pydata.org/

A lightweight LLVM python binding for writing JIT compilers

numba

2024-01-13

2014-08-07

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

A lightweight LLVM python binding for writing JIT compilers

[]

[]

2023-12-13

[('exaloop/codon', 0.6857039332389832, 'perf', 0), ('rustpython/rustpython', 0.638462483882904, 'util', 0), ('numba/numba', 0.5931792855262756, 'perf', 0), ('oracle/graalpython', 0.586859405040741, 'util', 0), ('cqcl/tket', 0.5800346732139587, 'util', 0), ('pyston/pyston', 0.5717125535011292, 'util', 0), ('citadel-ai/langcheck', 0.5582582950592041, 'llm', 0), ('pypy/pypy', 0.5528749227523804, 'util', 0), ('alpha-vllm/llama2-accessory', 0.539250910282135, 'llm', 0), ('psf/black', 0.5366169810295105, 'util', 0), ('google/jax', 0.534612774848938, 'ml', 0), ('pytoolz/toolz', 0.5343791842460632, 'util', 0), ('nomic-ai/pygpt4all', 0.5271598100662231, 'llm', 0), ('google/gin-config', 0.5255877375602722, 'util', 0), ('cython/cython', 0.5224786996841431, 'util', 0), ('astral-sh/ruff', 0.5217279195785522, 'util', 0), ('lcompilers/lpython', 0.5191760063171387, 'util', 0), ('instagram/monkeytype', 0.5182361602783203, 'typing', 0), ('fchollet/deep-learning-with-python-notebooks', 0.5170167088508606, 'study', 0), ('py4j/py4j', 0.5133116245269775, 'util', 0), ('salesforce/codet5', 0.5081905126571655, 'nlp', 0), ('google/latexify_py', 0.5081674456596375, 'util', 0), ('python/cpython', 0.5075445175170898, 'util', 0), ('nvidia/cuda-python', 0.5029944181442261, 'ml', 0), ('micropython/micropython', 0.5028732419013977, 'util', 0)]

finance

https://github.com/domokane/financepy

[]

[]

[]

domokane/financepy

FinancePy

Jupyter Notebook

https://financepy.com/

A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.

domokane

2024-01-13

2019-10-27

A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.

['asset-allocation', 'bonds', 'credit', 'currency', 'derivatives', 'derivatives-pricing', 'finance', 'fixed-income', 'investment', 'numba', 'pricing', 'risk', 'risk-management', 'students', 'valuation']

['asset-allocation', 'bonds', 'credit', 'currency', 'derivatives', 'derivatives-pricing', 'finance', 'fixed-income', 'investment', 'numba', 'pricing', 'risk', 'risk-management', 'students', 'valuation']

2023-12-10

[('pmorissette/ffn', 0.6907992959022522, 'finance', 0), ('goldmansachs/gs-quant', 0.6860893964767456, 'finance', 2), ('cuemacro/finmarketpy', 0.6049692630767822, 'finance', 0), ('quantopian/pyfolio', 0.6018176078796387, 'finance', 0), ('ta-lib/ta-lib-python', 0.5799912810325623, 'finance', 1), ('quantecon/quantecon.py', 0.5794845819473267, 'sim', 0), ('gbeced/pyalgotrade', 0.5683234333992004, 'finance', 0), ('mementum/backtrader', 0.5463677048683167, 'finance', 0), ('1200wd/bitcoinlib', 0.5450164675712585, 'crypto', 0), ('pytoolz/toolz', 0.5421152114868164, 'util', 0), ('ranaroussi/quantstats', 0.526004433631897, 'finance', 1), ('pandas-dev/pandas', 0.5133991837501526, 'pandas', 0), ('cuemacro/findatapy', 0.5130403637886047, 'finance', 0), ('bashtage/arch', 0.5076860785484314, 'time-series', 2), ('eleutherai/pyfra', 0.5048255920410156, 'ml', 0), ('robcarver17/pysystemtrade', 0.5038099884986877, 'finance', 0), ('krzjoa/awesome-python-data-science', 0.5010226368904114, 'study', 0)]

testing

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

[]

[]

[]

pytest-dev/pytest-mock

pytest-mock

Python

https://pytest-mock.readthedocs.io/en/latest/

Thin-wrapper around the mock package for easier use with pytest

pytest-dev

2024-01-12

2014-07-17

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

Thin-wrapper around the mock package for easier use with pytest

['mock', 'pytest']

['mock', 'pytest']

2023-12-20

[('pytest-dev/pytest', 0.6347528100013733, 'testing', 0), ('pytest-dev/pytest-cov', 0.6337581872940063, 'testing', 1), ('ionelmc/pytest-benchmark', 0.6237248182296753, 'testing', 1), ('pytest-dev/pytest-asyncio', 0.6129404306411743, 'testing', 0), ('samuelcolvin/dirty-equals', 0.6112805008888245, 'util', 1), ('pytest-dev/pytest-xdist', 0.6102861762046814, 'testing', 1), ('lundberg/respx', 0.5953378081321716, 'testing', 2), ('getsentry/responses', 0.5724997520446777, 'testing', 0), ('samuelcolvin/pytest-pretty', 0.5683526992797852, 'testing', 1), ('computationalmodelling/nbval', 0.5595971345901489, 'jupyter', 1), ('teemu/pytest-sugar', 0.5402851700782776, 'testing', 1), ('nteract/testbook', 0.5319708585739136, 'jupyter', 1), ('wolever/parameterized', 0.5089722275733948, 'testing', 0), ('taverntesting/tavern', 0.5072631239891052, 'testing', 1)]

llm

https://github.com/openai/gpt-discord-bot

[]

[]

[]

openai/gpt-discord-bot

gpt-discord-bot

Python

Example Discord bot written in Python that uses the completions API to have conversations with the `text-davinci-003` model, and the moderations API to filter the messages.

openai

2024-01-12

2022-12-21

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

Example Discord bot written in Python that uses the completions API to have conversations with the `text-davinci-003` model, and the moderations API to filter the messages.

[]

[]

2024-01-09

[('nomic-ai/gpt4all', 0.5539908409118652, 'llm', 0), ('minimaxir/simpleaichat', 0.552017331123352, 'llm', 0), ('rasahq/rasa', 0.5486682057380676, 'llm', 0), ('togethercomputer/openchatkit', 0.5345660448074341, 'nlp', 0), ('eternnoir/pytelegrambotapi', 0.5340373516082764, 'util', 0), ('gunthercox/chatterbot', 0.5279523730278015, 'nlp', 0), ('microsoft/autogen', 0.5150191783905029, 'llm', 0), ('embedchain/embedchain', 0.5135484933853149, 'llm', 0), ('run-llama/rags', 0.5125691890716553, 'llm', 0), ('rcgai/simplyretrieve', 0.5008484125137329, 'llm', 0)]

gis

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

[]

[]

[]

jupyter-widgets/ipyleaflet

ipyleaflet

TypeScript

https://ipyleaflet.readthedocs.io

A Jupyter - Leaflet.js bridge

jupyter-widgets

2024-01-12

2014-05-07

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

A Jupyter - Leaflet.js bridge

['jupyter', 'jupyterlab-extension', 'leaflet', 'visualization']

['jupyter', 'jupyterlab-extension', 'leaflet', 'visualization']

2024-01-12

[('giswqs/mapwidget', 0.6565911769866943, 'gis', 2), ('jupyter-widgets/ipywidgets', 0.6435815095901489, 'jupyter', 1), ('python-visualization/folium', 0.6334434151649475, 'gis', 0), ('vizzuhq/ipyvizzu', 0.6106564402580261, 'jupyter', 1), ('voila-dashboards/voila', 0.5810590386390686, 'jupyter', 2), ('jupyterlab/jupyterlab-desktop', 0.5790235996246338, 'jupyter', 1), ('jupyter/notebook', 0.5543774366378784, 'jupyter', 1), ('jupyter-lsp/jupyterlab-lsp', 0.5437476634979248, 'jupyter', 2), ('maartenbreddels/ipyvolume', 0.540547251701355, 'jupyter', 1), ('aws/graph-notebook', 0.5392546653747559, 'jupyter', 1), ('jupyterlite/jupyterlite', 0.539129376411438, 'jupyter', 2), ('opengeos/leafmap', 0.5388780832290649, 'gis', 1), ('jupyterlab/jupyterlab', 0.523621678352356, 'jupyter', 1), ('quantopian/qgrid', 0.5120397806167603, 'jupyter', 0), ('bloomberg/ipydatagrid', 0.5112629532814026, 'jupyter', 1), ('ipython/ipykernel', 0.504456102848053, 'util', 1), ('jakevdp/pythondatasciencehandbook', 0.5016043186187744, 'study', 0), ('jupyter/nbviewer', 0.5015178918838501, 'jupyter', 1)]

sim

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

['gym']

[]

[]

nvidia-omniverse/isaacgymenvs

IsaacGymEnvs

Python

Isaac Gym Reinforcement Learning Environments

nvidia-omniverse

2024-01-14

2021-08-27

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

Isaac Gym Reinforcement Learning Environments

[]

['gym']

2023-10-18

[('nvidia-omniverse/omniisaacgymenvs', 0.8064512610435486, 'sim', 0), ('farama-foundation/gymnasium', 0.6873985528945923, 'ml-rl', 1), ('pettingzoo-team/pettingzoo', 0.6462188959121704, 'ml-rl', 1), ('humancompatibleai/imitation', 0.617064356803894, 'ml-rl', 0), ('kzl/decision-transformer', 0.5959394574165344, 'ml-rl', 1), ('inspirai/timechamber', 0.56003338098526, 'sim', 0), ('thu-ml/tianshou', 0.5374286770820618, 'ml-rl', 0), ('huggingface/deep-rl-class', 0.534843921661377, 'study', 0), ('openai/baselines', 0.5117769837379456, 'ml-rl', 0), ('google/dopamine', 0.5014722943305969, 'ml-rl', 0)]

diffusion

https://github.com/coyote-a/ultimate-upscale-for-automatic1111

[]

[]

[]

coyote-a/ultimate-upscale-for-automatic1111

ultimate-upscale-for-automatic1111

Python

coyote-a

2024-01-14

2023-01-02

coyote-a/ultimate-upscale-for-automatic1111

[]

[]

2023-09-09

[]

gis

https://github.com/scitools/cartopy

[]

[]

[]

scitools/cartopy

cartopy

Python

https://scitools.org.uk/cartopy/docs/latest

Cartopy - a cartographic python library with matplotlib support

scitools

2024-01-12

2012-08-03

https://avatars.githubusercontent.com/u/1391487?v=4

Cartopy - a cartographic python library with matplotlib support

['cartopy', 'geometry', 'maps', 'matplotlib', 'projections', 'spatial']

['cartopy', 'geometry', 'maps', 'matplotlib', 'projections', 'spatial']

2024-01-10

[('pyproj4/pyproj', 0.7539182305335999, 'gis', 0), ('holoviz/geoviews', 0.7182220220565796, 'gis', 1), ('raphaelquast/eomaps', 0.6839972138404846, 'gis', 2), ('residentmario/geoplot', 0.6602010726928711, 'gis', 1), ('dfki-ric/pytransform3d', 0.6194444298744202, 'math', 1), ('matplotlib/basemap', 0.6154806613922119, 'gis', 1), ('altair-viz/altair', 0.6086525917053223, 'viz', 0), ('earthlab/earthpy', 0.6048831343650818, 'gis', 0), ('marceloprates/prettymaps', 0.5919488072395325, 'viz', 2), ('mwaskom/seaborn', 0.5874788761138916, 'viz', 1), ('pysal/pysal', 0.5811754465103149, 'gis', 0), ('has2k1/plotnine', 0.5810568332672119, 'viz', 0), ('cuemacro/chartpy', 0.5699009299278259, 'viz', 1), ('matplotlib/matplotlib', 0.566702663898468, 'viz', 1), ('plotly/plotly.py', 0.5586792826652527, 'viz', 0), ('imageio/imageio', 0.5579615831375122, 'util', 0), ('opengeos/leafmap', 0.5553449988365173, 'gis', 0), ('albahnsen/pycircular', 0.5550414323806763, 'math', 0), ('holoviz/hvplot', 0.5497469305992126, 'pandas', 0), ('csurfer/pyheat', 0.542796790599823, 'profiling', 1), ('artelys/geonetworkx', 0.5421754121780396, 'gis', 0), ('holoviz/holoviz', 0.5334916114807129, 'viz', 0), ('jakevdp/pythondatasciencehandbook', 0.5279793739318848, 'study', 1), ('gregorhd/mapcompare', 0.5211345553398132, 'gis', 0), ('kanaries/pygwalker', 0.5204256772994995, 'pandas', 1), ('man-group/dtale', 0.519442617893219, 'viz', 0), ('python-pillow/pillow', 0.5182700157165527, 'util', 0), ('enthought/mayavi', 0.5173063278198242, 'viz', 0), ('pypa/installer', 0.5148464441299438, 'util', 0), ('pyglet/pyglet', 0.5082891583442688, 'gamedev', 0), ('graphistry/pygraphistry', 0.5080820918083191, 'data', 0), ('geopandas/geopandas', 0.5073442459106445, 'gis', 1), ('vispy/vispy', 0.5065507888793945, 'viz', 0), ('bokeh/bokeh', 0.5045799612998962, 'viz', 0)]

ml

https://github.com/eric-mitchell/direct-preference-optimization

['dpo']

[]

[]

eric-mitchell/direct-preference-optimization

direct-preference-optimization

Python

Reference implementation for DPO (Direct Preference Optimization)

eric-mitchell

2024-01-13

2023-06-22

Reference implementation for DPO (Direct Preference Optimization)

[]

['dpo']

2023-12-14

[]

llm

https://github.com/bigscience-workshop/megatron-deepspeed

[]

[]

[]

bigscience-workshop/megatron-deepspeed

Megatron-DeepSpeed

Python

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

bigscience-workshop

2024-01-13

2021-07-02

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

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

[]

[]

2023-12-08

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

data

https://github.com/intake/intake

[]

[]

[]

intake/intake

intake

Python

https://intake.readthedocs.io/

Intake is a lightweight package for finding, investigating, loading and disseminating data.

intake

2024-01-11

2017-08-14

https://avatars.githubusercontent.com/u/1469464?v=4

Intake is a lightweight package for finding, investigating, loading and disseminating data.

['data-access', 'data-catalog']

['data-access', 'data-catalog']

2023-10-10

[('hyperqueryhq/whale', 0.5861302614212036, 'data', 1), ('airbnb/omniduct', 0.567048192024231, 'data', 0), ('lean-dojo/leandojo', 0.5443071722984314, 'math', 0), ('simonw/datasette', 0.5237489938735962, 'data', 0), ('linealabs/lineapy', 0.5228672623634338, 'jupyter', 0), ('saulpw/visidata', 0.5221759080886841, 'term', 0), ('airbytehq/airbyte', 0.5141798853874207, 'data', 0), ('google/ml-metadata', 0.506055474281311, 'ml-ops', 0), ('dlt-hub/dlt', 0.5047716498374939, 'data', 0), ('kubeflow-kale/kale', 0.5041489005088806, 'ml-ops', 0), ('jovianml/opendatasets', 0.5019022226333618, 'data', 0)]

gis

https://github.com/pyproj4/pyproj

[]

[]

[]

pyproj4/pyproj

pyproj

Python

https://pyproj4.github.io/pyproj

Python interface to PROJ (cartographic projections and coordinate transformations library)

pyproj4

2024-01-10

2014-12-29

https://avatars.githubusercontent.com/u/48302803?v=4

Python interface to PROJ (cartographic projections and coordinate transformations library)

['cartographic-projection', 'coordinate-systems', 'coordinate-transformation', 'geodesic', 'geospatial']

['cartographic-projection', 'coordinate-systems', 'coordinate-transformation', 'geodesic', 'geospatial']

2023-11-08

[('scitools/cartopy', 0.7539182305335999, 'gis', 0), ('holoviz/geoviews', 0.6277405023574829, 'gis', 0), ('residentmario/geoplot', 0.5774697065353394, 'gis', 0), ('artelys/geonetworkx', 0.5713775753974915, 'gis', 0), ('raphaelquast/eomaps', 0.5670640468597412, 'gis', 1), ('dfki-ric/pytransform3d', 0.5527838468551636, 'math', 0), ('geopandas/geopandas', 0.5460281372070312, 'gis', 1), ('opengeos/leafmap', 0.5364670157432556, 'gis', 1), ('pysal/pysal', 0.5152866244316101, 'gis', 0), ('has2k1/plotnine', 0.5081332921981812, 'viz', 0), ('pytoolz/toolz', 0.5079793334007263, 'util', 0)]

ml-dl

https://github.com/jeshraghian/snntorch

[]

[]

[]

jeshraghian/snntorch

snntorch

Python

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

Deep and online learning with spiking neural networks in Python

jeshraghian

2024-01-12

2020-09-28

Deep and online learning with spiking neural networks in Python

['machine-learning', 'neural-networks', 'neuron-models', 'neuroscience', 'pytorch', 'snn', 'spike', 'spiking', 'spiking-neural-networks']

['machine-learning', 'neural-networks', 'neuron-models', 'neuroscience', 'pytorch', 'snn', 'spike', 'spiking', 'spiking-neural-networks']

2023-12-14

[('online-ml/river', 0.615203320980072, 'ml', 1), ('ageron/handson-ml2', 0.5824640989303589, 'ml', 0), ('pytorch/pytorch', 0.5666177272796631, 'ml-dl', 1), ('ddbourgin/numpy-ml', 0.5650865435600281, 'ml', 2), ('scikit-learn/scikit-learn', 0.5448082089424133, 'ml', 1), ('gradio-app/gradio', 0.5395351648330688, 'viz', 1), ('adafruit/circuitpython', 0.5297858119010925, 'util', 0), ('fchollet/deep-learning-with-python-notebooks', 0.5287100076675415, 'study', 0), ('rasbt/machine-learning-book', 0.5273086428642273, 'study', 3), ('skorch-dev/skorch', 0.5167255401611328, 'ml-dl', 2), ('awslabs/gluonts', 0.5149070620536804, 'time-series', 3), ('intel/intel-extension-for-pytorch', 0.5118179321289062, 'perf', 2), ('pycaret/pycaret', 0.5082858800888062, 'ml', 1), ('lightly-ai/lightly', 0.5078932046890259, 'ml', 2), ('yzhao062/pyod', 0.5056750178337097, 'data', 2), ('pytorch/ignite', 0.5029792189598083, 'ml-dl', 2), ('joblib/joblib', 0.5017874836921692, 'util', 0)]

ml

https://github.com/hazyresearch/safari

[]

[]

[]

hazyresearch/safari

safari

Assembly

Convolutions for Sequence Modeling

hazyresearch

2024-01-12

2023-02-14

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

Convolutions for Sequence Modeling

[]

[]

2023-09-29

[('amazon-science/dq-bart', 0.5790391564369202, 'nlp', 0), ('bytedance/lightseq', 0.5279725790023804, 'nlp', 0)]

util

https://github.com/samuelcolvin/dirty-equals

[]

[]

[]

samuelcolvin/dirty-equals

dirty-equals

Python

https://dirty-equals.helpmanual.io

Doing dirty (but extremely useful) things with equals.

samuelcolvin

2024-01-07

2022-01-26

Doing dirty (but extremely useful) things with equals.

['pytest', 'testing-tools', 'unit-testing']

['pytest', 'testing-tools', 'unit-testing']

2023-11-15

[('pytest-dev/pytest', 0.6580618023872375, 'testing', 1), ('ionelmc/pytest-benchmark', 0.6507035493850708, 'testing', 1), ('pytest-dev/pytest-mock', 0.6112805008888245, 'testing', 1), ('pytest-dev/pytest-cov', 0.5618858933448792, 'testing', 1), ('nteract/testbook', 0.5593006014823914, 'jupyter', 2), ('pytest-dev/pytest-xdist', 0.546781599521637, 'testing', 1), ('nedbat/coveragepy', 0.5362508296966553, 'testing', 0), ('teemu/pytest-sugar', 0.5335487723350525, 'testing', 1), ('computationalmodelling/nbval', 0.5271663665771484, 'jupyter', 1), ('wolever/parameterized', 0.524022102355957, 'testing', 0), ('samuelcolvin/pytest-pretty', 0.5239970088005066, 'testing', 1), ('pmorissette/bt', 0.5151998996734619, 'finance', 0), ('eugeneyan/python-collab-template', 0.514961302280426, 'template', 1)]

util

https://github.com/yukinarit/pyserde

['serialization', 'dataclasses']

[]

[]

yukinarit/pyserde

pyserde

Python

https://yukinarit.github.io/pyserde/guide/en

Yet another serialization library on top of dataclasses, inspired by serde-rs.

yukinarit

2024-01-13

2018-12-05

Yet another serialization library on top of dataclasses, inspired by serde-rs.

['dataclasses', 'json', 'msgpack', 'serde', 'serialization', 'toml', 'typing', 'yaml']

['dataclasses', 'json', 'msgpack', 'serde', 'serialization', 'toml', 'typing', 'yaml']

2024-01-13

[('lidatong/dataclasses-json', 0.686412513256073, 'util', 2), ('pylons/colander', 0.6523554921150208, 'util', 1), ('marshmallow-code/marshmallow', 0.6370522379875183, 'util', 2), ('google/flatbuffers', 0.6145598292350769, 'perf', 1), ('python-odin/odin', 0.5727947354316711, 'util', 3), ('jsonpickle/jsonpickle', 0.5483598113059998, 'data', 2), ('samuelcolvin/rtoml', 0.5448687076568604, 'data', 1), ('fabiocaccamo/python-benedict', 0.5148563981056213, 'util', 3)]

util

https://github.com/ipython/ipykernel

[]

[]

[]

ipython/ipykernel

ipykernel

Python

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

IPython Kernel for Jupyter

ipython

2024-01-12

2015-04-09

https://avatars.githubusercontent.com/u/230453?v=4

IPython Kernel for Jupyter

['ipython', 'ipython-kernel', 'jupyter', 'jupyter-notebook', 'kernel']

['ipython', 'ipython-kernel', 'jupyter', 'jupyter-notebook', 'kernel']

2024-01-13

[('jupyter/notebook', 0.6881211400032043, 'jupyter', 2), ('ipython/ipyparallel', 0.6646348237991333, 'perf', 1), ('jupyterlab/jupyterlab', 0.662561297416687, 'jupyter', 1), ('jupyter/nbformat', 0.6578472852706909, 'jupyter', 0), ('ipython/ipython', 0.6446179747581482, 'util', 2), ('computationalmodelling/nbval', 0.6354666948318481, 'jupyter', 1), ('jupyterlab/jupyterlab-desktop', 0.6094779968261719, 'jupyter', 2), ('jupyter-widgets/ipywidgets', 0.6043174862861633, 'jupyter', 0), ('maartenbreddels/ipyvolume', 0.5854012966156006, 'jupyter', 2), ('jupyter/nbconvert', 0.5823147892951965, 'jupyter', 0), ('jakevdp/pythondatasciencehandbook', 0.5796281099319458, 'study', 1), ('chaoleili/jupyterlab_tensorboard', 0.5732330679893494, 'jupyter', 0), ('aws/graph-notebook', 0.568101167678833, 'jupyter', 2), ('mwouts/jupytext', 0.5664380788803101, 'jupyter', 1), ('ageron/handson-ml2', 0.55137699842453, 'ml', 0), ('cohere-ai/notebooks', 0.5502215623855591, 'llm', 0), ('fchollet/deep-learning-with-python-notebooks', 0.5428215265274048, 'study', 0), ('rasbt/watermark', 0.541002631187439, 'util', 2), ('nteract/testbook', 0.5405094623565674, 'jupyter', 1), ('gotcha/ipdb', 0.5379695892333984, 'debug', 1), ('voila-dashboards/voila', 0.5356465578079224, 'jupyter', 2), ('jupyterlite/jupyterlite', 0.5333779454231262, 'jupyter', 1), ('jupyter-lsp/jupyterlab-lsp', 0.5254985690116882, 'jupyter', 3), ('wesm/pydata-book', 0.5184985995292664, 'study', 0), ('koaning/drawdata', 0.5152633190155029, 'jupyter', 1), ('quantopian/qgrid', 0.514000654220581, 'jupyter', 0), ('faster-cpython/tools', 0.5114536285400391, 'perf', 0), ('mamba-org/gator', 0.5081201791763306, 'jupyter', 1), ('vizzuhq/ipyvizzu', 0.5079095363616943, 'jupyter', 3), ('tkrabel/bamboolib', 0.5052734017372131, 'pandas', 1), ('jupyterlab/jupyter-ai', 0.5044593811035156, 'jupyter', 1), ('jupyter-widgets/ipyleaflet', 0.504456102848053, 'gis', 1), ('python/cpython', 0.5019452571868896, 'util', 0)]

ml

https://github.com/opentensor/bittensor

[]

[]

[]

opentensor/bittensor

bittensor

Python

https://www.bittensor.com/

Internet-scale Neural Networks

opentensor

2024-01-14

2020-07-28

https://avatars.githubusercontent.com/u/61063461?v=4

Internet-scale Neural Networks

['ai', 'blockchain', 'cryptocurrency', 'deep-learning', 'machine-learning', 'neural-networks', 'p2p', 'p2p-network', 'polkadot', 'pytorch', 'substrate', 'torch']

['ai', 'blockchain', 'cryptocurrency', 'deep-learning', 'machine-learning', 'neural-networks', 'p2p', 'p2p-network', 'polkadot', 'pytorch', 'substrate', 'torch']

2024-01-09

[('alpa-projects/alpa', 0.556601345539093, 'ml-dl', 2), ('hpcaitech/colossalai', 0.552403450012207, 'llm', 2), ('ai4finance-foundation/finrl', 0.5417373776435852, 'finance', 0), ('explosion/thinc', 0.5385252833366394, 'ml-dl', 4), ('ddbourgin/numpy-ml', 0.5296874642372131, 'ml', 2), ('mosaicml/composer', 0.5280351042747498, 'ml-dl', 4), ('microsoft/onnxruntime', 0.5280240774154663, 'ml', 4), ('lutzroeder/netron', 0.5261327028274536, 'ml', 5), ('onnx/onnx', 0.5157052874565125, 'ml', 3), ('keras-team/keras', 0.5132687091827393, 'ml-dl', 4), ('adap/flower', 0.5103121399879456, 'ml-ops', 4), ('numerai/example-scripts', 0.5083948969841003, 'finance', 2), ('tensorflow/tensorflow', 0.5074020028114319, 'ml-dl', 2), ('keras-rl/keras-rl', 0.5059829950332642, 'ml-rl', 2), ('automatic1111/stable-diffusion-webui', 0.5035480856895447, 'diffusion', 4), ('freqtrade/freqtrade', 0.5012444853782654, 'crypto', 1)]

data

https://github.com/jina-ai/vectordb

['vectordb']

[]

[]

jina-ai/vectordb

vectordb

Python

A Python vector database you just need - no more, no less.

jina-ai

2024-01-12

2023-05-02

https://avatars.githubusercontent.com/u/60539444?v=4

A Python vector database you just need - no more, no less.

['embedding-similarity', 'neural-search', 'sentence-embeddings', 'vector-database', 'vector-database-embedding', 'vector-search']

['embedding-similarity', 'neural-search', 'sentence-embeddings', 'vector-database', 'vector-database-embedding', 'vector-search', 'vectordb']

2023-10-23

[('qdrant/fastembed', 0.7195001244544983, 'ml', 2), ('kagisearch/vectordb', 0.6794906258583069, 'data', 1), ('neuml/txtai', 0.6555339097976685, 'nlp', 4), ('chroma-core/chroma', 0.6463486552238464, 'data', 1), ('activeloopai/deeplake', 0.639483630657196, 'ml-ops', 2), ('milvus-io/bootcamp', 0.6278480887413025, 'data', 1), ('lancedb/lancedb', 0.612372100353241, 'data', 2), ('koaning/embetter', 0.5935912728309631, 'data', 0), ('qdrant/qdrant', 0.5856242775917053, 'data', 3), ('plasticityai/magnitude', 0.5780693888664246, 'nlp', 0), ('dgarnitz/vectorflow', 0.5692445039749146, 'data', 0), ('nomic-ai/nomic', 0.5595861077308655, 'nlp', 0), ('featureform/embeddinghub', 0.549279510974884, 'nlp', 1), ('qdrant/qdrant-client', 0.5459500551223755, 'util', 2), ('ddangelov/top2vec', 0.5428557395935059, 'nlp', 0), ('llmware-ai/llmware', 0.5389397740364075, 'llm', 0), ('jina-ai/clip-as-service', 0.5312561988830566, 'nlp', 1), ('ibis-project/ibis', 0.5219907760620117, 'data', 0), ('qdrant/vector-db-benchmark', 0.5212831497192383, 'perf', 2), ('tiangolo/sqlmodel', 0.52092444896698, 'data', 0), ('accenture/ampligraph', 0.5142897367477417, 'data', 0), ('amansrivastava17/embedding-as-service', 0.5125251412391663, 'nlp', 0), ('qdrant/qdrant-haystack', 0.5077526569366455, 'data', 0), ('docarray/docarray', 0.5065739154815674, 'data', 1), ('koaning/whatlies', 0.5039339661598206, 'nlp', 0), ('mcfunley/pugsql', 0.5005654096603394, 'data', 0)]

ml-ops

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

[]

[]

[]

skops-dev/skops

skops

Python

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

skops is a Python library helping you share your scikit-learn based models and put them in production

skops-dev

2024-01-05

2022-05-04

https://avatars.githubusercontent.com/u/104910083?v=4

skops is a Python library helping you share your scikit-learn based models and put them in production

['huggingface', 'machine-learning', 'mlops', 'scikit-learn']

['huggingface', 'machine-learning', 'mlops', 'scikit-learn']

2024-01-05

[('fmind/mlops-python-package', 0.6394261121749878, 'template', 1), ('kubeflow/fairing', 0.6278438568115234, 'ml-ops', 0), ('koaning/scikit-lego', 0.6168782711029053, 'ml', 2), ('automl/auto-sklearn', 0.5991626381874084, 'ml', 1), ('intel/scikit-learn-intelex', 0.5795713067054749, 'perf', 2), ('polyaxon/polyaxon', 0.5779671669006348, 'ml-ops', 2), ('iryna-kondr/scikit-llm', 0.5726227760314941, 'llm', 2), ('featurelabs/featuretools', 0.5711256265640259, 'ml', 2), ('huggingface/huggingface_hub', 0.5664080381393433, 'ml', 1), ('gradio-app/gradio', 0.5616341233253479, 'viz', 1), ('rasbt/machine-learning-book', 0.5548707246780396, 'study', 2), ('csinva/imodels', 0.5491555333137512, 'ml', 2), ('districtdatalabs/yellowbrick', 0.5375784635543823, 'ml', 2), ('kubeflow-kale/kale', 0.5353480577468872, 'ml-ops', 1), ('wandb/client', 0.5322269201278687, 'ml', 2), ('scikit-learn-contrib/sklearn-pandas', 0.5230203866958618, 'pandas', 0), ('ageron/handson-ml2', 0.5202804207801819, 'ml', 0), ('jovianml/opendatasets', 0.5186297297477722, 'data', 1), ('dylanhogg/awesome-python', 0.5161980986595154, 'study', 1), ('fatiando/verde', 0.513488233089447, 'gis', 1), ('selfexplainml/piml-toolbox', 0.5126495957374573, 'ml-interpretability', 0), ('firmai/atspy', 0.5083118081092834, 'time-series', 0), ('pycaret/pycaret', 0.5067681074142456, 'ml', 1), ('scikit-learn-contrib/metric-learn', 0.504301130771637, 'ml', 2), ('microsoft/nni', 0.5024822950363159, 'ml', 2), ('scikit-learn/scikit-learn', 0.5013717412948608, 'ml', 1)]

data

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

['search-engine', 'sdk', 'rust', 'api']

Meilisearch is an open-source search engine

[]

[]

meilisearch/meilisearch-python

meilisearch-python

Python

https://www.meilisearch.com/

Python wrapper for the Meilisearch API

meilisearch

2024-01-16

2019-12-04

https://avatars.githubusercontent.com/u/43250847?v=4

Python wrapper for the Meilisearch API

['client', 'meilisearch', 'sdk']

['api', 'client', 'meilisearch', 'rust', 'sdk', 'search-engine']

2024-01-16

[('typesense/typesense-python', 0.5989935994148254, 'data', 3), ('dmarx/psaw', 0.5636150240898132, 'data', 0), ('googleapis/google-api-python-client', 0.5505169034004211, 'util', 0), ('qdrant/qdrant-client', 0.538914680480957, 'util', 0), ('man-c/pycoingecko', 0.5315601229667664, 'crypto', 1), ('nv7-github/googlesearch', 0.5313740968704224, 'util', 0), ('goldsmith/wikipedia', 0.5276321768760681, 'data', 0), ('snyk-labs/pysnyk', 0.5068243741989136, 'security', 1)]

llm

https://github.com/langchain-ai/langgraph

['langchain', 'multi-actor', 'agents']

LangGraph is a library for building stateful, multi-actor applications with LLMs, built on top of (and intended to be used with) LangChain.

[]

[]

langchain-ai/langgraph

langgraph

Python

langchain-ai

2024-01-14

2023-08-09

https://avatars.githubusercontent.com/u/126733545?v=4

LangGraph is a library for building stateful, multi-actor applications with LLMs, built on top of (and intended to be used with) LangChain.

[]

['agents', 'langchain', 'multi-actor']

2024-01-09

[('alphasecio/langchain-examples', 0.6478251814842224, 'llm', 1), ('gkamradt/langchain-tutorials', 0.6401094794273376, 'study', 0), ('hwchase17/langchain', 0.6307724118232727, 'llm', 1), ('prefecthq/langchain-prefect', 0.6234740018844604, 'llm', 1), ('logspace-ai/langflow', 0.6137604713439941, 'llm', 1), ('microsoft/autogen', 0.6005686521530151, 'llm', 0), ('dylanhogg/llmgraph', 0.5856835842132568, 'ml', 0), ('nat/openplayground', 0.5708506107330322, 'llm', 0), ('zilliztech/gptcache', 0.5597312450408936, 'llm', 1), ('chatarena/chatarena', 0.5562337636947632, 'llm', 0), ('aiwaves-cn/agents', 0.5516238808631897, 'nlp', 0), ('young-geng/easylm', 0.5411015748977661, 'llm', 0), ('jina-ai/thinkgpt', 0.5343421697616577, 'llm', 0), ('nomic-ai/gpt4all', 0.533517599105835, 'llm', 0), ('tigerlab-ai/tiger', 0.5296244025230408, 'llm', 0), ('spcl/graph-of-thoughts', 0.5278857350349426, 'llm', 0), ('langchain-ai/langsmith-cookbook', 0.5267937183380127, 'llm', 0), ('mlc-ai/web-llm', 0.5244644284248352, 'llm', 0), ('lm-sys/fastchat', 0.5237873792648315, 'llm', 0), ('thudm/chatglm2-6b', 0.5230793356895447, 'llm', 0), ('deepset-ai/haystack', 0.5211980938911438, 'llm', 0), ('deep-diver/pingpong', 0.5210304260253906, 'llm', 0), ('langchain-ai/langsmith-sdk', 0.5179738998413086, 'llm', 0), ('hannibal046/awesome-llm', 0.5179132223129272, 'study', 0), ('hiyouga/llama-factory', 0.5161830186843872, 'llm', 0), ('hiyouga/llama-efficient-tuning', 0.5161828994750977, 'llm', 0), ('operand/agency', 0.5159871578216553, 'llm', 1), ('geekan/metagpt', 0.5153509974479675, 'llm', 0), ('embedchain/embedchain', 0.5151159763336182, 'llm', 0), ('run-llama/rags', 0.5150389671325684, 'llm', 0), ('agenta-ai/agenta', 0.5138852000236511, 'llm', 1), ('pathwaycom/llm-app', 0.5122884511947632, 'llm', 0), ('next-gpt/next-gpt', 0.5100759863853455, 'llm', 0), ('oobabooga/text-generation-webui', 0.5098942518234253, 'llm', 0), ('guardrails-ai/guardrails', 0.5052242875099182, 'llm', 0), ('eugeneyan/open-llms', 0.5050806403160095, 'study', 0), ('lianjiatech/belle', 0.5042188763618469, 'llm', 0), ('lupantech/chameleon-llm', 0.5040978193283081, 'llm', 0), ('mnotgod96/appagent', 0.5023365020751953, 'llm', 0), ('eth-sri/lmql', 0.5018105506896973, 'llm', 0), ('bobazooba/xllm', 0.5015073418617249, 'llm', 0), ('ctlllll/llm-toolmaker', 0.501153290271759, 'llm', 0), ('salesforce/xgen', 0.5001147389411926, 'llm', 0)]

util

https://github.com/mkdocstrings/griffe

[]

[]

[]

mkdocstrings/griffe

griffe

Python

https://mkdocstrings.github.io/griffe

Signatures for entire Python programs. Extract the structure, the frame, the skeleton of your project, to generate API documentation or find breaking changes in your API.

mkdocstrings

2024-01-13

2021-09-09

https://avatars.githubusercontent.com/u/75664361?v=4

Signatures for entire Python programs. Extract the structure, the frame, the skeleton of your project, to generate API documentation or find breaking changes in your API.

['api', 'breaking-changes', 'docs', 'mkdocstrings-collector', 'parser', 'signature']

['api', 'breaking-changes', 'docs', 'mkdocstrings-collector', 'parser', 'signature']

2023-12-06

[('mitmproxy/pdoc', 0.6451767683029175, 'util', 2), ('landscapeio/prospector', 0.5961143970489502, 'util', 0), ('omry/omegaconf', 0.5919175744056702, 'util', 0), ('pdoc3/pdoc', 0.5867151618003845, 'util', 1), ('python-odin/odin', 0.5799145102500916, 'util', 0), ('eugeneyan/python-collab-template', 0.5616798400878906, 'template', 0), ('amaargiru/pyroad', 0.5457209944725037, 'study', 0), ('mkdocstrings/python', 0.5423215627670288, 'util', 0), ('mgedmin/check-manifest', 0.537682056427002, 'util', 0), ('pypi/warehouse', 0.5345215797424316, 'util', 0), ('pytoolz/toolz', 0.5321711301803589, 'util', 0), ('erotemic/ubelt', 0.5309567451477051, 'util', 0), ('jazzband/pip-tools', 0.5269049406051636, 'util', 0), ('pypa/hatch', 0.5250239968299866, 'util', 0), ('pydantic/pydantic', 0.5223087072372437, 'util', 0), ('pympler/pympler', 0.5151218771934509, 'perf', 0), ('legrandin/pycryptodome', 0.5096718668937683, 'util', 0), ('dosisod/refurb', 0.5076294541358948, 'util', 0), ('python-rope/rope', 0.5066107511520386, 'util', 0), ('uqfoundation/dill', 0.506209135055542, 'data', 0), ('pypy/pypy', 0.5051857829093933, 'util', 0), ('samuelcolvin/python-devtools', 0.5050040483474731, 'debug', 0), ('pyca/cryptography', 0.5040481090545654, 'util', 0), ('getsentry/responses', 0.5013567209243774, 'testing', 0), ('instagram/libcst', 0.5002207159996033, 'util', 0)]

data

https://github.com/airbnb/knowledge-repo

[]

[]

[]

airbnb/knowledge-repo

knowledge-repo

Python

A next-generation curated knowledge sharing platform for data scientists and other technical professions.

airbnb

2024-01-12

2016-08-17

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

A next-generation curated knowledge sharing platform for data scientists and other technical professions.

['data', 'data-analysis', 'data-science', 'knowledge']

['data', 'data-analysis', 'data-science', 'knowledge']

2023-04-17

[('krzjoa/awesome-python-data-science', 0.5916482210159302, 'study', 2), ('drivendata/cookiecutter-data-science', 0.5590470433235168, 'template', 1), ('zenodo/zenodo', 0.5470719933509827, 'util', 0), ('saulpw/visidata', 0.5398018956184387, 'term', 0), ('airbytehq/airbyte', 0.5395446419715881, 'data', 2), ('merantix-momentum/squirrel-core', 0.537761390209198, 'ml', 1), ('firmai/industry-machine-learning', 0.5338939428329468, 'study', 1), ('google/ml-metadata', 0.5292649865150452, 'ml-ops', 0), ('hyperqueryhq/whale', 0.520332932472229, 'data', 0), ('netflix/metaflow', 0.5116251707077026, 'ml-ops', 1), ('simonw/datasette', 0.5094085335731506, 'data', 0), ('brettkromkamp/contextualise', 0.5030013918876648, 'data', 0)]

finance

https://github.com/quantopian/pyfolio

[]

[]

[]

quantopian/pyfolio

pyfolio

Jupyter Notebook

https://quantopian.github.io/pyfolio

Portfolio and risk analytics in Python

quantopian

2024-01-13

2015-06-01

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

Portfolio and risk analytics in Python

[]

[]

2020-07-15

[('ranaroussi/quantstats', 0.6542462706565857, 'finance', 0), ('goldmansachs/gs-quant', 0.6110407114028931, 'finance', 0), ('quantopian/empyrical', 0.6045350432395935, 'finance', 0), ('domokane/financepy', 0.6018176078796387, 'finance', 0), ('eleutherai/pyfra', 0.5698432922363281, 'ml', 0), ('gbeced/pyalgotrade', 0.5584282875061035, 'finance', 0), ('scikit-learn/scikit-learn', 0.5517749786376953, 'ml', 0), ('robcarver17/pysystemtrade', 0.5509036779403687, 'finance', 0), ('cuemacro/finmarketpy', 0.5475354194641113, 'finance', 0), ('pymc-devs/pymc3', 0.5452370047569275, 'ml', 0), ('pmorissette/ffn', 0.5423455834388733, 'finance', 0), ('quantecon/quantecon.py', 0.5116593837738037, 'sim', 0), ('firmai/atspy', 0.5053930282592773, 'time-series', 0)]

nlp

https://github.com/makcedward/nlpaug

[]

[]

[]

makcedward/nlpaug

nlpaug

Jupyter Notebook

https://makcedward.github.io/

Data augmentation for NLP

makcedward

2024-01-13

2019-03-21

Data augmentation for NLP

['adversarial-attacks', 'adversarial-example', 'ai', 'artificial-intelligence', 'augmentation', 'data-science', 'machine-learning', 'ml', 'natural-language-processing', 'nlp']

['adversarial-attacks', 'adversarial-example', 'ai', 'artificial-intelligence', 'augmentation', 'data-science', 'machine-learning', 'ml', 'natural-language-processing', 'nlp']

2022-07-07

[('explosion/spacy', 0.5835755467414856, 'nlp', 6), ('nltk/nltk', 0.5745749473571777, 'nlp', 3), ('aleju/imgaug', 0.5599479079246521, 'ml', 2), ('infinitylogesh/mutate', 0.5548282265663147, 'nlp', 0), ('explosion/spacy-llm', 0.5450884103775024, 'llm', 3), ('alibaba/easynlp', 0.5402962565422058, 'nlp', 2), ('explosion/thinc', 0.5350939631462097, 'ml-dl', 5), ('thilinarajapakse/simpletransformers', 0.5320999026298523, 'nlp', 0), ('explosion/spacy-models', 0.5314129590988159, 'nlp', 3), ('huggingface/autotrain-advanced', 0.5261876583099365, 'ml', 2), ('rasahq/rasa', 0.5259739756584167, 'llm', 3), ('allenai/allennlp', 0.5257618427276611, 'nlp', 3), ('keras-team/keras-nlp', 0.5205011367797852, 'nlp', 3), ('norskregnesentral/skweak', 0.5184004902839661, 'nlp', 2), ('sdv-dev/sdv', 0.517977237701416, 'data', 1), ('jbesomi/texthero', 0.5141093134880066, 'nlp', 2), ('huggingface/datasets', 0.5126201510429382, 'nlp', 3), ('intellabs/fastrag', 0.5120058655738831, 'nlp', 1), ('interpretml/interpret', 0.5114248394966125, 'ml-interpretability', 3), ('bentoml/bentoml', 0.5093832612037659, 'ml-ops', 2), ('cleanlab/cleanlab', 0.505994439125061, 'ml', 1), ('llmware-ai/llmware', 0.5014007091522217, 'llm', 3)]

ml

https://github.com/districtdatalabs/yellowbrick

[]

[]

[]

districtdatalabs/yellowbrick

yellowbrick

Python

http://www.scikit-yb.org/

Visual analysis and diagnostic tools to facilitate machine learning model selection.

districtdatalabs

2024-01-12

2016-05-18

https://avatars.githubusercontent.com/u/7107115?v=4

Visual analysis and diagnostic tools to facilitate machine learning model selection.

['anaconda', 'estimator', 'machine-learning', 'matplotlib', 'model-selection', 'scikit-learn', 'visual-analysis', 'visualization', 'visualizer']

['anaconda', 'estimator', 'machine-learning', 'matplotlib', 'model-selection', 'scikit-learn', 'visual-analysis', 'visualization', 'visualizer']

2023-07-05

[('automl/auto-sklearn', 0.6410435438156128, 'ml', 1), ('huggingface/evaluate', 0.6335552334785461, 'ml', 1), ('teamhg-memex/eli5', 0.6274762749671936, 'ml', 2), ('tensorflow/data-validation', 0.6272578239440918, 'ml-ops', 0), ('huggingface/datasets', 0.621246874332428, 'nlp', 1), ('wandb/client', 0.6167464256286621, 'ml', 1), ('nccr-itmo/fedot', 0.6075289249420166, 'ml-ops', 1), ('selfexplainml/piml-toolbox', 0.6020028591156006, 'ml-interpretability', 0), ('scikit-learn/scikit-learn', 0.5833300948143005, 'ml', 1), ('microsoft/nni', 0.5821363925933838, 'ml', 1), ('pyvista/pyvista', 0.578895092010498, 'viz', 1), ('polyaxon/datatile', 0.5754048228263855, 'pandas', 1), ('featurelabs/featuretools', 0.5721520185470581, 'ml', 2), ('lutzroeder/netron', 0.570451557636261, 'ml', 2), ('gradio-app/gradio', 0.5597376227378845, 'viz', 1), ('rasbt/mlxtend', 0.5595728754997253, 'ml', 1), ('epistasislab/tpot', 0.5539801120758057, 'ml', 3), ('apple/coremltools', 0.5530053377151489, 'ml', 1), ('pair-code/lit', 0.5486710071563721, 'ml-interpretability', 2), ('firmai/industry-machine-learning', 0.5426095128059387, 'study', 1), ('csinva/imodels', 0.5383384227752686, 'ml', 2), ('skops-dev/skops', 0.5375784635543823, 'ml-ops', 2), ('scikit-optimize/scikit-optimize', 0.5361714959144592, 'ml', 3), ('evidentlyai/evidently', 0.531039834022522, 'ml-ops', 1), ('hazyresearch/meerkat', 0.5290077924728394, 'viz', 1), ('ddbourgin/numpy-ml', 0.5262637138366699, 'ml', 1), ('polyaxon/polyaxon', 0.5260629653930664, 'ml-ops', 1), ('oegedijk/explainerdashboard', 0.5237336158752441, 'ml-interpretability', 0), ('patchy631/machine-learning', 0.5236752033233643, 'ml', 0), ('pyqtgraph/pyqtgraph', 0.5196901559829712, 'viz', 1), ('eugeneyan/testing-ml', 0.5194308757781982, 'testing', 1), ('man-group/dtale', 0.5179511308670044, 'viz', 1), ('microsoft/flaml', 0.5168565511703491, 'ml', 2), ('scikit-learn-contrib/metric-learn', 0.516703188419342, 'ml', 2), ('mlflow/mlflow', 0.5155874490737915, 'ml-ops', 1), ('lux-org/lux', 0.5121427178382874, 'viz', 1), ('doccano/doccano', 0.5116096138954163, 'nlp', 1), ('sktime/sktime', 0.5111024975776672, 'time-series', 2), ('determined-ai/determined', 0.5109866857528687, 'ml-ops', 1), ('mosaicml/composer', 0.5096165537834167, 'ml-dl', 1), ('intel/scikit-learn-intelex', 0.5062663555145264, 'perf', 2), ('koaning/scikit-lego', 0.5034389495849609, 'ml', 2), ('firmai/atspy', 0.5014930367469788, 'time-series', 0), ('roboflow/supervision', 0.5006172060966492, 'ml', 1), ('tensorflow/lucid', 0.5002766251564026, 'ml-interpretability', 2)]

data

https://github.com/andialbrecht/sqlparse

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andialbrecht/sqlparse

sqlparse

Python

A non-validating SQL parser module for Python

andialbrecht

2024-01-14

2012-04-18

A non-validating SQL parser module for Python

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2023-10-12

[('tiangolo/sqlmodel', 0.6739121079444885, 'data', 0), ('sqlalchemy/sqlalchemy', 0.6582309007644653, 'data', 0), ('tobymao/sqlglot', 0.6332684755325317, 'data', 0), ('ibis-project/ibis', 0.6058615446090698, 'data', 0), ('macbre/sql-metadata', 0.5947306156158447, 'data', 0), ('collerek/ormar', 0.5768142938613892, 'data', 0), ('mcfunley/pugsql', 0.5752284526824951, 'data', 0), ('kayak/pypika', 0.5649843811988831, 'data', 0), ('machow/siuba', 0.5550650358200073, 'pandas', 0), ('pyparsing/pyparsing', 0.5442314147949219, 'util', 0), ('pyeve/cerberus', 0.5441608428955078, 'data', 0), ('pydantic/pydantic', 0.534013569355011, 'util', 0), ('instagram/libcst', 0.5294908285140991, 'util', 0), ('simonw/sqlite-utils', 0.5041010975837708, 'data', 0)]

llm

https://github.com/minimaxir/gpt-2-simple

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minimaxir/gpt-2-simple

gpt-2-simple