rushter/MLAlgorithms

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.

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

A collection of machine learning examples and tutorials.

🧑‍🏫 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, ... 🧠

A resource for learning about Machine learning & Deep Learning

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

A collection of various deep learning architectures, models, and tips

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"