RSS 1 project tagged "GPLv3 or later"

Download Website Updated 17 Feb 2014 SHOGUN

Screenshot
Pop 351.40
Vit 37.63

SHOGUN is a machine learning toolbox whose focus is on large scale kernel methods and especially on Support Vector Machines (SVM). It provides a generic SVM object interfacing to several different SVM implementations, all making use of the same underlying, efficient kernel implementations. Apart from SVMs and regression, SHOGUN also features a number of linear methods like Linear Discriminant Analysis (LDA), Linear Programming Machine (LPM), (Kernel) Perceptrons, and algorithms to train hidden Markov models. SHOGUN can be used from within C++, Matlab, R, Octave, and Python.

Screenshot

Project Spotlight

GNU Wget

A network utility for downloading content from the Web.

Screenshot

Project Spotlight

AutoArchive

A simple backup utility.