Supervised Learning

ML-From-ScratchPython

Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility and transparency.

homemade-machine-learningJupyter Notebook

Python implementations of popular machine learning algorithms from scratch with interactive Jupyter demos and mathematical explanations.

Stanford CS229: Machine Learning

Comprehensive cheatsheets and refreshers covering all key concepts from Stanford's CS 229 Machine Learning course.

MLxtendPython

A Python library providing extensions and utilities for data science and machine learning tasks.

linfaRust

A comprehensive Rust machine learning framework focused on preprocessing and classical algorithms, akin to scikit-learn.

PyTorch Lightning BoltsPython

A collection of models, callbacks, and datasets to extend PyTorch Lightning for applied AI/ML research and production.

MetricsPython

A multi-language library providing implementations of common supervised machine learning evaluation metrics.