Pylearn2: a machine learning research library

Ian J. Goodfellow, David Warde-Farley, Pascal Lamblin, Vincent Dumoulin, Mehdi Mirza +4 more
8/20/2013
stat.MLcs.LGcs.MS

Official code: lisa-lab/pylearn2 (2,765 stars, BSD-3-Clause, last commit 2021-08-20).

Abstract

Pylearn2 is a machine learning research library. This does not just mean that it is a collection of machine learning algorithms that share a common API; it means that it has been designed for flexibility and extensibility in order to facilitate research projects that involve new or unusual use cases. In this paper we give a brief history of the library, an overview of its basic philosophy, a summary of the library's architecture, and a description of how the Pylearn2 community functions socially.

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2,7651,079C, C++Nov 22, 20105 years agoBSD-3-Clause

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Cite this paper

@article{goodfellow2013pylearn,
  title  = {Pylearn2: a machine learning research library},
  author = {Ian J. Goodfellow and David Warde-Farley and Pascal Lamblin and Vincent Dumoulin and Mehdi Mirza and Razvan Pascanu and James Bergstra and Frédéric Bastien and Yoshua Bengio},
  year   = {2013},
  eprint = {1308.4214},
  archivePrefix = {arXiv},
  url    = {https://arxiv.org/abs/1308.4214}
}

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