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Source: torch-examples
Section: devel
Priority: optional
Maintainer: Barak Pearlmutter <bap@cs.unm.edu>
Build-Depends: debhelper (>> 3.0.0), libtorch-dev
Standards-Version: 3.5.2
Package: torch-examples
Architecture: any
Depends: ${shlibs:Depends}
Description: Machine learning programs using libtorch
Sample programs that use the Torch Machine Learning library. Programs
in this package include: adaboost (the ADAboost algorithm), bag (the
bagging method), gmm (Gaussian mixture model), hmm (hidden markov
model), mixture_softmax (mixture of experts using soft combination of
predictions), mlp (multilayer perceptron), svm (support vector
machine), bayes (naive Bayesian classifier), hmm_speech (an HMM with
the bells and whistles for speech recognition).
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