Pylearn2: a machine learning research library

TL;DR

Pylearn2 is a flexible, extensible machine learning research library designed to support innovative research through a shared API and community collaboration.

Contribution

It introduces a highly adaptable library architecture specifically aimed at facilitating research involving novel or complex machine learning use cases.

Findings

Supports a wide range of machine learning algorithms

Designed for flexibility and extensibility

Fosters a collaborative research community

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.