Showing 9 of 9 projects
A comprehensive .NET framework for machine learning, computer vision, statistics, and scientific computing.
A comprehensive Swift framework providing AI/ML algorithms including neural networks, SVMs, PCA, genetic algorithms, and MDPs with GPU acceleration support.
A comprehensive Swift framework providing AI/ML algorithms including neural networks, SVMs, genetic algorithms, and MDPs with GPU acceleration.
A Python library for structured learning and prediction with max-margin methods and a scikit-learn compatible interface.
A Swift library providing neural networks, machine learning algorithms, and AI data structures for iOS and macOS development.
Simple machine learning library / 簡單易用的機器學習套件
Ruby interface to LIBLINEAR for machine learning classification and regression tasks using SWIG bindings.
A Go port of LIBSVM 3.14, providing support vector machine (SVM) algorithms for classification and regression.
A fast and versatile implementation of support vector machines with integrated hyper-parameter selection and support for multiple learning scenarios.
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