Bayesian treed Gaussian process models: Bayesian nonstationary, semiparametric nonlinear regression and design by treed Gaussian processes with jumps to the limiting linear model (LLM). Special [...]

Modular toolkit for Data Processing (MDP) is a library of widely used data processing algorithms that can be combined according to a pipeline analogy to build more complex data processing software.

Intended for .NET developers wanting to implement algorithms directly in a common .NET language (recommended: C#). Support for n-dim generic arrays, LAPACK, FFT, cells, logicals, 2D&3D plotting [...]

FLANN is a library for performing fast approximate nearest neighbor searches in high dimensional spaces. It contains a collection of algorithms we found to work best for nearest neighbor search and [...]

Efficient C++ library for analog reservoir computing neural networks (Echo State Networks).

markov thebeast is a Markov Logic interpreter. We also see it as structured prediction framework in which the user can define a loglinear distribution over a complex output space.

A C++ library of machine learning algorithms and tools, and several demos that show how to use it.

PyML is an interactive object oriented framework for machine learning in python with a focus on kernel methods.

Tekkotsu is a high-level framework for robot programming that provides primitives for perception, manipulation, navigation, and control. It supports a variety of robot platforms.

ChemCpp is a C++ toolbox for chemoinformatics focusing on the computation of kernel functions between chemical compounds.