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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
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
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
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
TranslatedChinese translation of 《Designing Data-Intensive Application》 (DDIA), 1st edition / 2nd edition
Machine Learning Engineering Open Book
Code samples for my book "Neural Networks and Deep Learning"
The Data Engineering Cookbook
Python Implementation of Reinforcement Learning: An Introduction
The OWASP Mobile Application Security Testing Guide (MASTG) is a comprehensive manual for mobile app security testing and reverse engineering. It describes technical processes for verifying the OWASP Mobile Security Weakness Enumeration (MASWE) weaknesses, which are in alignment with the OWASP MASVS.
An open access book on scientific visualization using python and matplotlib
TranslatedHand-written implementations of all the algorithms in Li Hang's book "Statistical Learning Methods" (《统计学习方法》)
Ansible for DevOps examples.
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
code for Data Science From Scratch book
Companion code to my O'Reilly book "Flask Web Development", second edition.
Translated⛽️ "Algorithm Clearance Handbook": A learning tutorial on "algorithms and data structures" starting from zero, with 200 "popular algorithm interview questions" and 1000+ "LeetCode problem analyses", continuously updated!
TranslatedPython for "Deep Learning": mathematical derivations, principle analysis, and source-code-level implementations for the book "深度学习" (Deep Learning, known as the "Flower Book")
TranslatedLinux Kernel Revealed
TranslatedIntroductory tutorial on recommender systems, online reading address: https://datawhalechina.github.io/fun-rec/