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Package: libtorch3c2 (3.1-2.1)

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State of the art machine learning library - runtime library

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.

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Architecture Package Size Installed Size Files
ia64 326.6 kB1,228.0 kB [list of files]