aimacode/aima-python

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

Minimal and clean examples of machine learning algorithms implementations

All Algorithms implemented in Python

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Code for the book Grokking Algorithms (https://www.amazon.com/dp/1633438538)

Become a cracked AI/ML researcher/engineer with this unconventional textbook covering maths, computing, and ML with intuition.