[ddp] libtorch3c2 : State of the art machine learning library - runtime library

[daily-debian-package at enix.org]

Hello,

Today, I'm happy to present you the Debian package libtorch3c2, which
is part of the libs section, and maintained by Cosimo Alfarano
<kalfa at debian.org>. 

This package contains : 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.


Package homepage     :
 http://packages.debian.org/unstable/libs/libtorch3c2

Package bug homepage :
 http://bugs.debian.org/libtorch3c2

Package QA homepage  :
 http://packages.qa.debian.org/libtorch3c2

Have fun with Debian packages !

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