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An open source framework developed by the Google Brain team. Features include automatic differentiation, robust support for deep learning models, and deployment on various platforms.

A collection of algorithms for image processing in Python. Features include image manipulation, morphology, segmentation, and feature detection.

A Python Imaging Library (PIL) fork that adds image processing capabilities to your Python interpreter. Common uses include opening, manipulating, and saving image files.

An open source machine learning library based on the Torch library. Known for dynamic computation graph, ease of use, and strong GPU acceleration.

An open source framework for building computer vision applications. It provides access to several high-level functions for building computer vision applications with ease.

Open source computer vision and machine learning software library. Common uses include real-time image processing, feature detection, and object recognition.

A modern C++ toolkit that contains machine learning algorithms and tools for creating complex software to solve real-world problems. Common uses include facial feature detection and recognition.