The definitive list that answers "I want to do X in Python, which tool should I use?"
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Curated list of project-based tutorials
🚀 Awesome list of open source applications for macOS. https://t.me/s/opensourcemacosapps
坚持分享 GitHub 上高质量、有趣实用的开源技术教程、开发者工具、编程网站、技术资讯。A list cool, interesting projects of GitHub.
A list of AI autonomous agents
Download your Spotify playlists and songs along with album art and metadata (from YouTube if a match is found).
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Awesome list of open-source startup alternatives to well-known SaaS products 🚀
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
List of Data Science Cheatsheets to rule the world
Web path scanner
Transform your favorite cities into beautiful, minimalist designs. MapToPoster lets you create and export visually striking map posters with code.
AI that sees your screen, listens to your conversations and tells you what to do
Lightweight, dependency-free Python library and CLI for downloading YouTube videos, playlists, and captions.
:star:Github Ranking:star: Github stars and forks ranking list. Github Top100 stars list of different languages. Automatically update daily. | Github仓库排名,每日自动更新
A curated list of awesome Flask resources and plugins
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
Bayesian Modeling and Probabilistic Programming in Python
Deep universal probabilistic programming with Python and PyTorch
A curated list of awesome Python asyncio frameworks, libraries, software and resources
Mimesis is a Python library for generating fake but realistic data in multiple languages and locales.
A curated list of awesome Jupyter projects, libraries and resources
A curated list of awesome responsible machine learning resources.
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.