About: MyMediaLite is a lightweight, multi-purpose library of recommender system algorithms.

Important changes:

• new rating predictor GSVD++ (contributed by Marcelo Manzato)
• new recommenders ExternalRatingPredictor and ExternalItemRecommender to evaluate external tools with the MyMediaLite evaluation framework
• incremental update support for item recommendation UserKNN and ItemKNN (based on a pull request by João Vinagre)
• --cross-validation support for the rating_based_ranking tool (as requested by Pieter-Jan Verbrugen)
• removed the group recommendation code
• cleaner item recommendation evaluation, with a bug fix in the cross-validation code and a complete rewrite of online evaluation
• removed unused matrix and vector math, faster and simplified matrix code

About: This package is an implementation of a linear svm solver with a wide class of regularizations on the svm weight vector (l1, l2, mixed norm l1-lq, adaptive lasso). We provide solvers for the classical single task svm problem and for multi-task with joint feature selection or similarity promoting term.

Initial Announcement on mloss.org.

About: LaRank is an online solver for multiclass Support Vector Machines.

Initial Announcement on mloss.org.

About: Monte (python) is a small machine learning library written in pure Python. The focus is on gradient based learning, in particular on the construction of complex models from many smaller components.

Initial Announcement on mloss.org.

About: This is a C++ software designed to train large-scale SVMs for binary classification. The algorithm is also implemented in parallel (**PGPDT**) for distributed memory, strictly coupled multiprocessor [...]

Initial Announcement on mloss.org.

About: PLearn is a large C++ machine-learning library with a set of Python tools and Python bindings. It is mostly a research platform for developing novel algorithms, and is being used extensively at [...]

Initial Announcement on mloss.org.