Torch is a machine-learning library, written in c++. its aim is to provide the state-of-the-art of the best algorithms for machine-learning.

* 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 is the torch runtime library.