Open source. Open possibilities.

An educational repository teaching supervised machine learning from first principles using Python, covering mathematical foundations and practical implementations.

Strata is a native machine learning and linear algebra library written in Mojo, offering scikit-learn-compatible estimators, dense/sparse matrix containers, zero-copy serialization, and composable pipelines with SIMD and LAPACK acceleration.

ONNX Runtime is a cross-platform accelerator for machine learning inference and training, supporting models from PyTorch, TensorFlow, and scikit-learn.

AUB-HTP is a Python toolkit for analyzing Alpha Stable (Levy-Stable) distributions, offering PDF generation, random sampling for univariate and multivariate cases, and support for various parametrizations and spectral measures.

Microsoft's free 12-week, 26-lesson curriculum for learning classic machine learning with Scikit-learn. Includes quizzes, hands-on projects, assignments, Python and R lessons, and multi-language translations.

An educational machine learning project that classifies online payment transactions as legitimate or fraudulent. It preprocesses a transaction dataset, encodes and scales features, then trains and evaluates Logistic Regression, Decision Tree, and Random Forest models with Python, pandas, NumPy, and scikit-learn.

PyCaret 4.0 is an open-source, self-hosted AutoML platform for Python: a sklearn-native engine plus a FastAPI control plane and React UI, runnable locally with a single docker compose command.

Dask is a flexible parallel computing library designed for analytics and task scheduling.