Pylearn2: a machine learning research library

08/20/2013
by   Ian J. Goodfellow, et al.
0

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.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
02/02/2023

mlpack 4: a fast, header-only C++ machine learning library

For over 15 years, the mlpack machine learning library has served as a "...
research
05/03/2019

TensorNetwork: A Library for Physics and Machine Learning

TensorNetwork is an open source library for implementing tensor network ...
research
10/23/2012

MLPACK: A Scalable C++ Machine Learning Library

MLPACK is a state-of-the-art, scalable, multi-platform C++ machine learn...
research
09/30/2019

CSPLib: Twenty Years On

In 1999, we introduced CSPLib, a benchmark library for the constraints c...
research
11/17/2016

COOLL: Controlled On/Off Loads Library, a Public Dataset of High-Sampled Electrical Signals for Appliance Identification

This paper gives a brief description of the Controlled On/Off Loads Libr...
research
11/15/2017

Hydra: a C++11 framework for data analysis in massively parallel platforms

Hydra is a header-only, templated and C++11-compliant framework designed...

Please sign up or login with your details

Forgot password? Click here to reset