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Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
A book-in-progress about the Linux kernel and its insides.
ML algorithms implemented and derived from first-principles in Jupyter Notebooks and NumPy
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
Industry leading face manipulation platform
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
Deep learning for dummies. All the practical details and useful utilities that go into working with real models.
Curated list of references for development of DOS applications.
A fully-modern text-based browser, rendering to TTY and browsers
Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)
Metasploitable3 is a VM that is built from the ground up with a large amount of security vulnerabilities.
Python best practices guidebook, written for humans.
Source code for the book "Game Boy Assembly Programming for the Modern Game Developer"
Test suite to help you write your own C compiler
A book teaching assembly language programming on the ARM 64 bit ISA. Along the way, good programming practices and insights into code development are offered which apply directly to higher level la…
Creative Coding: Generative Art, Data visualization, Interaction Design, Resources.
A guide to learn and become active in the demoscene within a couple of weeks
Master the command line, in one page
Book in preparation: introduction to theoretical computer science
📚 A curated list of papers for Software Engineers
A versatile (cross-)toolchain generator.
Bootlin embedded Linux and kernel training materials
Book of Bad Arguments & Mr. Rabbit's Guide to Sneaky Rhetoric
Public repo for DeepLearning.AI MLEP Specialization
interactive visualization of 5 popular gradient descent methods with step-by-step illustration and hyperparameter tuning UI