SHOGUN

SHOGUN is an open-source machine learning toolbox focused on large-scale kernel methods, especially Support Vector Machines (SVMs), and supports a variety of algorithms for classification, regression, and more. It features interfaces to Python, R, Octave, and Matlab, and offers a diverse set of kernels, multiple kernel learning, dimension reduction, hidden Markov models, and more. Designed for researchers and developers, SHOGUN is especially strong in scientific, statistical, and bioinformatics applications that require efficient, robust, and extensible ML algorithms.