Aleph is both a multi-platform machine learning framework aimed at simplicity and performance, and a library of selected state-of-the-art algorithms. Aleph 0.6 is faster, more stable and better [...]

The DL-Learner framework contains several algorithms for supervised concept learning in Description Logics (DLs) and OWL. It extends Inductive Logic Programming to Description Logics and the [...]

The library implements Optimized Cutting Plane Algorithm (OCAS) for efficient training of linear SVM classifiers from large-scale data.

This software contains several matlab scripts for computing the RDE (relevant dimensionality estimate). The RDE measures the number of leading PCA components in feature space which contain the [...]

We introduce mlpy, a high-performance Python package for predictive modeling. It makes extensive use of NumPy to provide fast N-dimensional array manipulation and easy integration of C code. Mlpy [...]

LaRank is an online solver for multiclass Support Vector Machines.

The Easysvm package provides a set of tools based on the Shogun toolbox allowing to train and test SVMs in a simple way.

We provide some preliminary code for multiclass multiple kernel learning in Matlab using CPLEX as a base solver.