Stars
Build a modern LLM from scratch. Every line commented. Explained like we are five.
Neural Networks: Zero to Hero
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Open-source framework for the research and development of foundation models.
Runnable code for solving Project Euler problems in Java, Python, Mathematica, Haskell.
Implementation of all RL algorithms in a simpler way
It is said that, Ilya Sutskever gave John Carmack this reading list of ~ 30 research papers on deep learning.
A fast Sudoku solver and generator with a benchmark suite for comparing the fastest known solvers.
🔩 Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.
30 Agents Every AI Engineer Must Build, published by Packt
Method for Long Context RLMs using verifiable Lambda Calculus
📚 Freely available programming books
Darwin Gödel Machine: Open-Ended Evolution of Self-Improving Agents
Codev helps humans and agents co-develop both the context and the code of the project.
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
Blazing fast Rust solutions for every Advent of Code puzzle from 2015 to 2025, solving 524 stars in less than 1 second.
A curated collection of AI tools, utilities, and resources for developers and creators