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TranslatedIllustrated computer networks, operating systems, computer organization, and databases, with 1,000 diagrams + 500,000 characters, breaking down obscure and hard-to-understand computer fundamentals, so that no "bagu wen" (standard interview question essays) is hard to understand in the world! 🚀 Read online: https://xiaolincoding.com
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
Code samples for my book "Neural Networks and Deep Learning"
Translated"Lee Hung-yi's Deep Learning Tutorial" (recommended by Professor Hung-yi Lee 👍, the Apple Book 🍎), PDF download address: https://github.com/datawhalechina/leedl-tutorial/releases
Companion webpage to the book "Mathematics For Machine Learning"
The Data Engineering Cookbook
Python Implementation of Reinforcement Learning: An Introduction
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
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.
TranslatedOpen source Deep Learning book, based on TensorFlow 2.0 framework.
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》)
The "Python Machine Learning (1st edition)" book code repository and info resource
《Python Cookbook》 3rd Edition Translation
PRML algorithms implemented in Python
Bartosz Milewski's 'Category Theory for Programmers' unofficial PDF and LaTeX source
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》)
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Ansible for DevOps examples.
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Implementation of Peter Shirley's Ray Tracing In One Weekend book using Vulkan and NVIDIA's RTX extension.
Introduction to Semiconductor Manufacturing
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