Datasets:

dylanhogg

/

awesome-python

like 0

pandas

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

[]

[]

[]

unionai-oss/pandera

pandera

Python

https://www.union.ai/pandera

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

unionai-oss

2024-01-12

2018-11-01

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

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

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

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

2023-12-15

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

study

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

['awesome']

[]

[]

promptslab/awesome-prompt-engineering

Awesome-Prompt-Engineering

Python

https://discord.gg/m88xfYMbK6

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

promptslab

2024-01-14

2023-02-09

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

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

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

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

2024-01-04

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

ml

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

[]

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

[]

[]

huggingface/autotrain-advanced

autotrain-advanced

Python

https://huggingface.co/autotrain

🤗 AutoTrain Advanced

huggingface

2024-01-13

2020-12-15

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

🤗 AutoTrain Advanced

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

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

2023-12-28

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

util

https://github.com/beeware/briefcase

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

[]

[]

beeware/briefcase

briefcase

Python

https://briefcase.readthedocs.io/

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

beeware

2024-01-12

2015-07-28

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

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

[]

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

2024-01-14

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

jupyter

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

[]

[]

[]

mito-ds/monorepo

mito

Python

https://trymito.io

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

mito-ds

2024-01-12

2022-01-20

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

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

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

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

2024-01-09

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

gamedev

https://github.com/pyglet/pyglet

[]

[]

[]

pyglet/pyglet

pyglet

Python

http://pyglet.org

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

pyglet

2024-01-13

2019-06-09

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

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

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

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

2024-01-13

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

llm

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

['rag']

[]

[]

ray-project/llm-applications

llm-applications

Jupyter Notebook

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

ray-project

2024-01-13

2023-08-16

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

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

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

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

2024-01-08

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

data

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

['duckdb', 'data-engineering']

[]

[]

dlt-hub/dlt

dlt

Python

https://dlthub.com/docs

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

dlt-hub

2024-01-13

2022-01-26

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

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

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

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

2024-01-12

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

pandas

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

[]

[]

[]

eventual-inc/daft

Daft

Rust

https://getdaft.io

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

eventual-inc

2024-01-12

2022-04-25

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

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

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

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

2024-01-13

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

gis

https://github.com/pytroll/satpy

[]

[]

[]

pytroll/satpy

satpy

Python

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

Python package for earth-observing satellite data processing

pytroll

2024-01-12

2016-02-09

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

Python package for earth-observing satellite data processing

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

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

2024-01-10

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

llm

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

['rag', 'retrieval']

[]

[]

akariasai/self-rag

self-rag

Python

https://selfrag.github.io/

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

akariasai

2024-01-13

2023-10-10

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

[]

['rag', 'retrieval']

2023-12-22

[]

nlp

https://github.com/gunthercox/chatterbot

[]

[]

[]

gunthercox/chatterbot

ChatterBot

Python

https://chatterbot.readthedocs.io

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

gunthercox

2024-01-13

2014-09-28

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

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

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

2021-06-01

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

diffusion

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

['diffusion', 'image-generation']

[]

[]

compvis/latent-diffusion

latent-diffusion

Jupyter Notebook

High-Resolution Image Synthesis with Latent Diffusion Models

compvis

2024-01-14

2021-12-20

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

High-Resolution Image Synthesis with Latent Diffusion Models

[]

['diffusion', 'image-generation']

2022-07-26

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

ml-dl

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

[]

[]

[]

keras-team/autokeras

autokeras

Python

http://autokeras.com/

AutoML library for deep learning

keras-team

2024-01-13

2017-11-19

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

AutoML library for deep learning

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

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

2023-10-02

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

web

https://github.com/bottlepy/bottle

[]

[]

[]

bottlepy/bottle

bottle

Python

http://bottlepy.org/

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

bottlepy

2024-01-13

2009-06-30

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

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

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

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

2024-01-03

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

perf

https://github.com/vaexio/vaex

[]

[]

[]

vaexio/vaex

vaex

Python

https://vaex.io

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

vaexio

2024-01-14

2014-09-27

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

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

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

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

2023-07-21

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

web

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

[]

[]

[]

graphql-python/graphene

graphene

Python

http://graphene-python.org/

GraphQL framework for Python

graphql-python

2024-01-14

2015-09-24

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

GraphQL framework for Python

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

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

2023-10-06

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

util

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

[]

[]

[]

marshmallow-code/marshmallow

marshmallow

Python

https://marshmallow.readthedocs.io/

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

marshmallow-code

2024-01-13

2013-11-10

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

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

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

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

2024-01-10

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

ml

https://github.com/google/automl

[]

[]

[]

google/automl

automl

Jupyter Notebook

Google Brain AutoML

google

2024-01-13

2020-03-12

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

Google Brain AutoML

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

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

2023-12-14

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

data

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

[]

[]

[]

kaggle/kaggle-api

kaggle-api

Python

Official Kaggle API

kaggle

2024-01-14

2018-01-25

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

Official Kaggle API

[]

[]

2024-01-08

[]

crypto

https://github.com/crytic/slither

[]

[]

[]

crytic/slither

slither

Python

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

Static Analyzer for Solidity and Vyper

crytic

2024-01-13

2018-09-05

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

Static Analyzer for Solidity and Vyper

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

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

2023-10-18

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

testing

https://github.com/getsentry/responses

['mocking', 'requests']

[]

[]

getsentry/responses

responses

Python

A utility for mocking out the Python Requests library.

getsentry

2024-01-13

2013-11-15

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

A utility for mocking out the Python Requests library.

['tag-production']

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

2024-01-10

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

gui

https://github.com/r0x0r/pywebview

[]

[]

[]

r0x0r/pywebview

pywebview

Python

https://pywebview.flowrl.com

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

r0x0r

2024-01-13

2014-11-20

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

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

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

2023-12-10

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

ml

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

[]

[]

[]

skvark/opencv-python

opencv-python

Python

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

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

skvark

2024-01-14

2016-04-08

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

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

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

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

2023-12-31

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

diffusion

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

[]

[]

[]

nateraw/stable-diffusion-videos

stable-diffusion-videos

Python

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

nateraw

2024-01-13

2022-09-06

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

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

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

2023-05-07

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

util

https://github.com/bogdanp/dramatiq

[]

[]

[]

bogdanp/dramatiq

dramatiq

Python

https://dramatiq.io

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

bogdanp

2024-01-13

2017-05-30

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

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

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

2024-01-13

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

llm

https://github.com/ravenscroftj/turbopilot

[]

[]

[]

ravenscroftj/turbopilot

turbopilot

C++

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

ravenscroftj

2024-01-12

2023-04-09

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

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

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

2023-09-30

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

viz

https://github.com/has2k1/plotnine

[]

[]

[]

has2k1/plotnine

plotnine

Python

https://plotnine.org

A Grammar of Graphics for Python

has2k1

2024-01-13

2017-04-24

A Grammar of Graphics for Python

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

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

2024-01-12

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

jupyter

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

[]

[]

[]

executablebooks/jupyter-book

jupyter-book

Python

http://jupyterbook.org

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

executablebooks

2024-01-13

2018-06-14

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

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

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

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

2023-12-05

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

llm

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

['prompt-engineering', 'json']

[]

[]

1rgs/jsonformer

jsonformer

Jupyter Notebook

A Bulletproof Way to Generate Structured JSON from Language Models

1rgs

2024-01-13

2023-04-29

A Bulletproof Way to Generate Structured JSON from Language Models

[]

['json', 'prompt-engineering']

2023-05-30

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

llm

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

['chatbot']

[]

[]

deep-diver/llm-as-chatbot

LLM-As-Chatbot

Python

LLM as a Chatbot Service

deep-diver

2024-01-12

2023-02-27

LLM as a Chatbot Service

[]

['chatbot']

2023-11-20

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

ml

https://github.com/rucaibox/recbole

[]

[]

[]

rucaibox/recbole

RecBole

Python

https://recbole.io/

A unified, comprehensive and efficient recommendation library

rucaibox

2024-01-13

2020-06-11

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

A unified, comprehensive and efficient recommendation library

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

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

2023-11-25

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

study

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

[]

[]

[]

huggingface/diffusion-models-class

diffusion-models-class

Jupyter Notebook

Materials for the Hugging Face Diffusion Models Course

huggingface

2024-01-14

2022-10-13

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

Materials for the Hugging Face Diffusion Models Course

[]

[]

2023-12-18

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

util

https://github.com/pyo3/maturin

['rust']

[]

[]

pyo3/maturin

maturin

Rust

https://maturin.rs

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

pyo3

2024-01-14

2018-07-21

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

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

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

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

2024-01-10

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

llm

https://github.com/microsoft/torchscale

[]

[]

[]

microsoft/torchscale

torchscale

Python

https://aka.ms/GeneralAI

Foundation Architecture for (M)LLMs

microsoft

2024-01-14

2022-11-17

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

Foundation Architecture for (M)LLMs

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

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

2023-12-27

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

ml

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

[]

[]

[]

lightly-ai/lightly

lightly

Python

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

A python library for self-supervised learning on images.

lightly-ai

2024-01-12

2020-10-13

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

A python library for self-supervised learning on images.

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

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

2024-01-11

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

ml

https://github.com/zjunlp/deepke

['knowledge-graph']

[]

[]

zjunlp/deepke

DeepKE

Python

http://deepke.zjukg.cn/

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

zjunlp

2024-01-14

2018-08-01

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

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

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

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

2024-01-10

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

util

https://github.com/pantsbuild/pex

['executable', 'venv']

[]

[]

pantsbuild/pex

pex

Python

https://pex.readthedocs.io

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

pantsbuild

2024-01-13

2014-07-21

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

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

[]

['executable', 'venv']

2024-01-14

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

diffusion

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

[]

[]

[]

stability-ai/stability-sdk

stability-sdk

Jupyter Notebook

https://platform.stability.ai/

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

stability-ai

2024-01-12

2022-08-22

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

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

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

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

2023-11-20

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

ml-rl

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

[]

[]

[]

pettingzoo-team/pettingzoo

PettingZoo

Python

https://pettingzoo.farama.org

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

pettingzoo-team

2024-01-12

2020-01-20

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

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

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

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

2024-01-11

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

sim

https://github.com/projectmesa/mesa

[]

[]

[]

projectmesa/mesa

mesa

Python

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

projectmesa

2024-01-14

2014-09-19

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

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

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

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

2024-01-13

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

sim

https://github.com/google/brax

[]

[]

[]

google/brax

brax

Jupyter Notebook

Massively parallel rigidbody physics simulation on accelerator hardware.

google

2024-01-13

2021-06-02

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

Massively parallel rigidbody physics simulation on accelerator hardware.

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

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

2024-01-03

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

viz

https://github.com/marcomusy/vedo

[]

[]

[]

marcomusy/vedo

vedo

Python

https://vedo.embl.es

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

marcomusy

2024-01-12

2017-11-10

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

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

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

2024-01-13

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

util

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

[]

[]

[]

open-telemetry/opentelemetry-python

opentelemetry-python

Python

https://opentelemetry.io

OpenTelemetry Python API and SDK

open-telemetry

2024-01-13

2019-05-07

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

OpenTelemetry Python API and SDK

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

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

2024-01-05

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

llm

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

[]

[]

[]

explosion/spacy-llm

spacy-llm

Python

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

🦙 Integrating LLMs into structured NLP pipelines

explosion

2024-01-13

2023-03-16

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

🦙 Integrating LLMs into structured NLP pipelines

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

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

2023-12-28

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

util

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

['config', 'llm']

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

[]

[]

lastmile-ai/aiconfig

aiconfig

Python

https://aiconfig.lastmileai.dev

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

lastmile-ai

2024-01-12

2023-09-01

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

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

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

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

2024-01-14

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

study

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

['awesome']

[]

[]

christoschristofidis/awesome-deep-learning

awesome-deep-learning

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

christoschristofidis

2024-01-13

2015-01-02

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

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

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

2022-11-14

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

ml

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

[]

[]

[]

deepmind/deepmind-research

deepmind-research

Jupyter Notebook

This repository contains implementations and illustrative code to accompany DeepMind publications

deepmind

2024-01-13

2019-01-15

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

This repository contains implementations and illustrative code to accompany DeepMind publications

[]

[]

2023-06-02

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

sim

https://github.com/bulletphysics/bullet3

[]

[]

[]

bulletphysics/bullet3

bullet3

C++

http://bulletphysics.org

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

bulletphysics

2024-01-14

2011-04-12

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

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

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

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

2023-11-28

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

util

https://github.com/magicstack/uvloop

[]

[]

[]

magicstack/uvloop

uvloop

Cython

Ultra fast asyncio event loop.

magicstack

2024-01-13

2015-11-08

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

Ultra fast asyncio event loop.

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

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

2023-10-22

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

llm

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

[]

[]

[]

thudm/glm-130b

GLM-130B

Python

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

thudm

2024-01-13

2022-08-03

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

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

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2023-07-25

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

nlp

https://github.com/deeppavlov/deeppavlov

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deeppavlov/deeppavlov

DeepPavlov

Python

https://deeppavlov.ai