About: Armadillo/C++ implementation of the Indefinite Core Vector Machine Changes:Some tiny errors in the Nystroem demo scripts  should be ok now Initial Announcement on mloss.org.

About: The bufferkdtree package is a Python library that aims at accelerating nearest neighbor computations using both kd trees and modern manycore devices such as graphics processing units (GPUs). Changes:Initial Announcement on mloss.org.

About: The Universal Java Matrix Package (UJMP) is a data processing tool for Java. Unlike JAMA and Colt, it supports multithreading and is therefore much faster on current hardware. It does not only support matrices with double values, but instead handles every type of data as a matrix through a common interface, e.g. CSV files, Excel files, images, WAVE audio files, tables in SQL data bases, and much more. Changes:Updated to version 0.3.0

About: The SHOGUN machine learning toolbox's focus is on large scale learning methods with focus on Support Vector Machines (SVM), providing interfaces to python, octave, matlab, r and the command line. Changes:This release features the work of our 8 GSoC 2014 students [student; mentors]:
It also contains several cleanups and bugfixes: Features
Bugfixes
Cleanup and API Changes

About: The UniverSVM is a SVM implementation written in C/C++. Its functionality comprises large scale transduction via CCCP optimization, sparse solutions via CCCP optimization and datadependent [...] Changes:Minor changes: fix bug on set_alphas_b0 function (thanks to Ferdinand Kaiser  ferdinand.kaiser@tut.fi)

About: The SGD2.0 package contains implementations of the SGD and ASGD algorithms for linear SVMs and linear CRFs. Changes:Version 2.0 features ASGD.

About: Reference implementation of the LASVM online and active SVM algorithms as described in the JMLR paper. The interesting bit is a small C library that implements the LASVM process and reprocess [...] Changes:Minor bug fix

About: LibSGDQN proposes an implementation of SGDQN, a carefully designed quasiNewton stochastic gradient descent solver for linear SVMs. Changes:small bug fix (thx nicolas ;)

About: Aleph is both a multiplatform machine learning framework aimed at simplicity and performance, and a library of selected stateoftheart algorithms. Changes:Initial Announcement on mloss.org.

About: Disco is an opensource implementation of the [MapReduce framework](http://en.wikipedia.org/wiki/MapReduce) for distributed computing. As the original framework, Disco supports parallel [...] Changes:Initial Announcement on mloss.org.

About: The Sleipnir C++ library implements a variety of machine learning and data manipulation algorithms focusing on heterogeneous data integration and efficiency for large biological data collections. Changes:Initial Announcement on mloss.org.

About: For modern biology, precise genome annotations are of prime importance as they allow the accurate definition of genic regions. We employ state of the art machine learning methods to assay and [...] Changes:Initial Announcement on mloss.org.

About: This is a C++ software designed to train largescale SVMs for binary classification. The algorithm is also implemented in parallel (**PGPDT**) for distributed memory, strictly coupled multiprocessor [...] Changes:Initial Announcement on mloss.org.

About: RapidMiner (formerly YALE) is one of the most widely used opensource data mining suites and software solutions due to its leadingedge technologies and its functional range. Applications of [...] Changes:Initial Announcement on mloss.org.
