Open source. Open possibilities.

High-performance geospatial imagery I/O library supporting NITF, GeoTIFF, JPEG 2000, DTED. Rust core with Python bindings, cloud-native tile access via Zarr, and simple APIs for reading/writing imagery.

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

Gestune is a touch-free system volume controller that uses hand gestures to adjust audio levels without a keyboard or mouse.

Open-source audio matching and mastering tool that matches a target track to a reference track's RMS, frequency response, peak amplitude, and stereo width. Available as Docker web app, Python library, and ComfyUI node.

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.

Step-by-step 30-day Python programming challenge covering fundamentals through web scraping, pandas, MongoDB, and APIs, with hands-on exercises and translations in multiple languages.

Gesture Ninja is a computer vision-based application that enables users to play Fruit Ninja using real-time finger tracking via a webcam.

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.

This repository hosts the Chinese translation of "Python for Data Analysis, 2nd Edition" by Wes McKinney, covering Python 3.6, NumPy, pandas, StatsModels, and scikit-learn, with online reading and code guidance.

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

Codon is a high-performance Python implementation that compiles to native machine code, offering speeds comparable to C/C++ and supporting native multithreading and GPU acceleration.

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.