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.
Cite
@article{arxiv.1308.4214,
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},
journal= {arXiv preprint arXiv:1308.4214},
year = {2013}
}