TranslatedHello Algo (《Hello 算法》): An animated, illustrated data structures and algorithms tutorial with one-click code running. Supports Simplified Chinese, Traditional Chinese, English, and Japanese, and provides code implementations in Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart, and more
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Translated📚 "Building Agents from Scratch" — A tutorial on agent principles and practice, starting from zero
Translated《动手学深度学习》 (Dive into Deep Learning): for Chinese readers, runnable, and open to discussion. The Chinese and English editions are used for teaching at more than 500 universities in more than 70 countries.
TranslatedMain open-source repository of "Understanding AI Agents in Depth: Design Principles and Engineering Practice" (by Li Bojie): the full text of the book, the compiled PDF, and companion code organized by chapter
Python Data Science Handbook: full text in Jupyter Notebooks
A book-in-progress about the Linux kernel and its insides.
Python sample codes and textbook for robotics algorithms.
Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
Python best practices guidebook, written for humans.
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
The fastai book, published as Jupyter Notebooks
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
TranslatedChinese translation of 《Designing Data-Intensive Application》 (DDIA), 1st edition / 2nd edition
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
TranslatedThe pytorch handbook is an open-source book that aims to help friends who want to use PyTorch for deep learning development and research get started quickly. All of the PyTorch tutorials it contains have been tested to ensure they run successfully.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Machine Learning Engineering Open Book
TranslatedCode implementation of 《统计学习方法》 (Statistical Learning Methods)
TranslatedThis project changes the MXNet implementations in the original book 《动手学深度学习》 (Dive into Deep Learning) into PyTorch implementations.