Torch: a modular machine learning software library
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R. Collobert, S. Bengio, and J. Mariethoz. Torch: a modular machine learning software library. Technical Report IDIAP-RR 02-46, IDIAP, 2002.
Abstract
Many scientific communities have expressed a growing interest in machine learning algorithms recently, mainly due to the generally good results they provide, compared to traditional statistical or AI approaches. However, these machine learning algorithms are often complex to implement and to use properly and efficiently. We thus present in this paper a new machine learning software library in which most state-of-the-art algorithms have already been implemented and are available in a unified framework, in order for scientists to be able to use them, compare them, and even extend them for their own purposes. More interestingly, this library is freely available under a BSD license and can be retrieved from the web by everyone.
BibTeX
@techreport{collobert:2002,
author = {R. Collobert and S. Bengio and J. Mari\'ethoz},
title = {{T}orch: a modular machine learning software library},
institution = {IDIAP},
type = {Technical Report IDIAP-RR},
number = {02-46},
year = 2002
}
Notes
This presented the first version of the Torch machine learning library. Several versions
have been developped since then, culminating with Torch5,
the official last version.
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