Open source. Open possibilities.

PyTorch is an open-source machine learning library providing tensor computation with GPU acceleration and a flexible deep neural network framework based on a tape-based autograd system.

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.

ABU Quantitative Trading System is an open-source Python framework for quantitative investment, supporting US stocks, A-shares, HK stocks, futures, options, and Bitcoin. It features backtesting, position management, and machine learning optimization.

einops is a flexible tensor operations library using Einstein-like notation for readable, reliable code across PyTorch, JAX, TensorFlow, NumPy and more.

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