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Source: torch3
Section: libs
Priority: optional
Maintainer: Cosimo Alfarano <kalfa@debian.org>
Build-Depends: debhelper (>= 10)
Standards-Version: 3.8.0
Package: libtorch3c2
Section: libs
Architecture: any
Depends: ${shlibs:Depends} ${misc:Depends}
Provides: libtorch
Conflicts: libtorch3
Description: 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: libtorch3-dev
Section: devel
Architecture: any
Depends: libtorch3c2 (= ${binary:Version})
Provides: libtorch-dev
Conflicts: libtorch1-dev, libtorch-dev
Description: State of the art machine learning library - development files
Torch is a machine-learning library, written in C++. Its aim is to
provide the state-of-the-art of the best algorithms.
.
* 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 development package (header files and
static library.)
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