About: RLScore  regularized leastsquares machine learning algorithms package Changes:Initial Announcement on mloss.org.

About: TBEEF, a doubly ensemble framework for recommendation and prediction problems. Changes:Included the final technical report.

About: An opensource Python toolbox to analyze mobile phone metadata. Changes:Initial Announcement on mloss.org.

About: Hype is a proofofconcept deep learning library, where you can perform optimization on compositional machine learning systems of many components, even when such components themselves internally perform optimization. Changes:Initial Announcement on mloss.org.

About: Variational Bayesian inference tools for Python Changes:

About: A Theano framework for building and training neural networks Changes:Initial Announcement on mloss.org.

About: A toolkit for hyperparameter optimization for machine learning algorithms. Changes:Initial Announcement on mloss.org.

About: MALSS is a python module to facilitate machine learning tasks. Changes:Initial Announcement on mloss.org.

About: Java package for calculating Entropy for Machine Learning Applications. It has implemented several methods of handling missing values. So it can be used as a lab for examining missing values. Changes:Discretizing numerical values is added to calculate mode of values and fractional replacement of missing ones. class diagram is on the web http://profs.basu.ac.ir/bathaeian/free_space/jemla.rar

About: CURFIL uses NVIDIA CUDA to accelerate random forest training and prediction for RGB and RGBD images. It focuses on image labelling tasks, such as image segmentation or classification applications. CURFIL allows to search for optimal hyperparameter configurations (e.g. using the hyperopt) package) by massively decreasing training time. Changes:Initial Announcement on mloss.org.

About: GPUaccelerated java deep neural networks Changes:Initial Announcement on mloss.org.

About: DAL is an efficient and flexibible MATLAB toolbox for sparse/lowrank learning/reconstruction based on the dual augmented Lagrangian method. Changes:

About: The Gesture Recognition Toolkit (GRT) is a crossplatform, opensource, c++ machine learning library that has been specifically designed for realtime gesture recognition. It features a large number of machinelearning algorithms for both classification and regression in addition to a wide range of supporting algorithms for preprocessing, feature extraction and dataset management. The GRT has been designed for realtime gesture recognition, but it can also be applied to more general machinelearning tasks. Changes:Added Decision Tree and Random Forests.

About: A descriptive and programming language independent format and API for the simplified configuration, documentation, and design of computer experiments. Changes:Initial Announcement on mloss.org.

About: Support Vectors Machine library in .net with CUDA support. Library includes GPU SVM solver for kernels linear,RBF,ChiSquare and Exp ChiSquare which use NVIDIA CUDA technology. It allows for classification of feature rich sparse datasets through utilization of sparse matrix formats CSR, EllpackR or Sliced EllRT Changes:Initial Announcement on mloss.org.

About: Divvy is a Mac OS X application for performing dimensionality reduction, clustering, and visualization. Changes:Initial Announcement on mloss.org.

About: Python Machine Learning Toolkit Changes:Added LASSO (using coordinate descent optimization). Made SVM classification (learning and applying) much faster: 2.5x speedup on yeast UCI dataset.

About: svmstructmatlab is a MATLAB wrapper of T. Joachims' SVM^struct solver for structured output support vector machines. Changes:Adds support for Xcode 4.0 and Mac OS X 10.7 and greater.

About: PLEASD: A Matlab Toolbox for Structured Learning Changes:Initial Announcement on mloss.org.

About: A C++ Library for Discrete Graphical Models Changes:Initial Announcement on mloss.org.
