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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✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% | LeetCode solutions
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
Learn Go with test-driven development
Mastering Ethereum: 2nd Edition, by Andreas M. Antonopoulos, Gavin Wood, Carlo Parisi, Alessandro Mazza, Niccolò Pozzolini
TranslatedHow programmers can elegantly earn pocket money, version 2.0, upgraded into a small book. Most of this not work outside China , so no English translate
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Bootstrap yourself to write an OS from scratch. A book for self-learner.
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)
Code repository of all OpenGL chapters from the book and its accompanying website https://learnopengl.com
TranslatedKubernetes Architecture and Ecosystem: A Guide to Building Infrastructure from Cloud Native to AI Native
Thoughts on Go performance optimization
These are the sample Bounded Contexts from the book "Implementing Domain-Driven Design" by Vaughn Vernon: http://vaughnvernon.co/?page_id=168
Introduction to Autonomous Robots
A practical guide to building enterprise AI agents across their full lifecycle.
Selection of projects accompanying the iOS8-Day-by-Day blog series
These are the sample Bounded Contexts for C#.NET from the book "Implementing Domain-Driven Design" by Vaughn Vernon: http://vaughnvernon.co/?page_id=168
Harness Engineering 101 — building AI agents from first principles. The LLM is the brain; the harness is the body.
Mostly experiments based on "Advances in financial machine learning" book
Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis
Code and data used to create the examples in "Evidence-based Software Engineering based on the publicly available data"
You know Simon Wardley's medium posts on his Wardley Mapping technique? This is an AsciiDoc of them.