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SHARK is a modular C++ library for the design and optimization of adaptive systems. It provides methods for linear and nonlinear optimization, in particular evolutionary and gradient-based [...]
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Machine Learning Py (mlpy) is a high performance Python/NumPy based package for machine learning.
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Multivariate Adaptive Regression Spline Models: Build regression models using the techniques in Friedman's papers "Fast MARS" and "Multivariate Adaptive Regression Splines". (The term "MARS" is [...]
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Locally Weighted Projection Regression (LWPR) is a recent algorithm that achieves nonlinear function approximation in high dimensional spaces with redundant and irrelevant input dimensions. At its [...]
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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.
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A Laboratory for Recursive Partytioning: A computational toolbox for recursive partitioning. The core of the package is ctree(), an implementation of conditional inference trees which embed [...]
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Nieme is a machine learning library for large-scale classification, regression and ranking. It relies on the framework of energy-based models which unifies several learning algorithms ranging from [...]
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Pebl is a python library and command line application for learning the structure of a Bayesian network given prior knowledge and observations.
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R/Weka interface: An R interface to Weka (Version 3.5.7). Weka is a collection of machine learning algorithms for data mining tasks written in Java, containing tools for data pre-processing, [...]
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The library implements Optimized Cutting Plane Algorithm (OCAS) for efficient training of linear SVM classifiers from large-scale data.
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