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Source: torch
Section: devel
Priority: optional
Maintainer: Barak Pearlmutter <bap@cs.unm.edu>
Build-Depends: debhelper (>> 3.0.0)
Standards-Version: 3.5.2
Package: libtorch-dev
Architecture: any
Depends: libtorch1 (= ${Source-Version}), libc6-dev
Suggests: libtorch-doc (= ${Source-Version})
Description: State of the art machine learning library - development
This package is the Torch development package (header files and
static library.)
.
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.
.
Torch is an open library whose authors encourage everybody to develop
new packages to be included in future versions on the official website.
Package: libtorch1
Architecture: any
Depends: ${shlibs:Depends}
Description: State of the art machine learning library - runtime libs
This package is the Torch 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. 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.
.
Torch is an open library whose authors encourage everybody to develop
new packages to be included in future versions on the official website.
Package: libtorch-doc
Architecture: all
Description: State of the art machine learning library - documentation
This package is the Torch library documentation.
.
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.
.
Torch is an open library whose authors encourage everybody to develop
new packages to be included in future versions on the official website.
|
