Description:

Torch is a machine-learning library, written in C++. Its aim is to
provide the state-of-the-art of the best algorithms. It is, and it
will be, in development forever.

Main features:

* Many gradient-based methods, including multi-layered perceptrons,
radial basis functions, and mixtures of experts. Many small
"modules" (Linear module, Tanh module, SoftMax module, ...) can be
plugged together.

* Support Vector Machine, for classification and regression.

* Distribution package, includes Kmeans, Gaussian Mixture Models,
Hidden Markov Models, and Bayes Classifier, and classes for speech
recognition with embedded training.

* Ensemble models such as Bagging and Adaboost.

* Non-parametric models such as K-nearest-neighbors, Parzen Regression
and Parzen Density Estimator.

This package contains the static library and headers of Torch compiled
with single precision support.