Learn AI Engineering! Learn it. Build it. Ship it for others.
翻墙-科学上网
The definitive list that answers "I want to do X in Python, which tool should I use?"
:octocat: 分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.
21 Lessons, Get Started Building with Generative AI
Python - 100天从新手到大师
《Hello 算法》:动画图解、一键运行的数据结构与算法教程。支持简中、繁中、English、日本語,提供 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 等代码实现
Building 70 Projects ranging from beginner to advanced so anyone can — learn from, build upon, use as a reference, or even copy directly. Owned by my cybersecurity company 👇
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
量化研究-券商金工研报复现
One has no future if one couldn't teach themself.
Learn how to develop, deploy and iterate on production-grade ML applications.
Iconic font aggregator, collection, & patcher. 3,600+ icons, 50+ patched fonts: Hack, Source Code Pro, more. Glyph collections: Font Awesome, Material Design Icons, Octicons, & more
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
NVIDIA curated collection of educational resources related to general purpose GPU programming.
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
10 Weeks, 20 Lessons, Data Science for All!
Practice your pandas skills!
Open Public Domain Exercise Dataset in JSON format, over 800 exercises with a browsable public searchable frontend
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Informative site with EoL dates of everything
Docker Official Image packaging for Python
mal - Make a Lisp
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG