- Version: 0.1.0
- Description: MGL is a machine learning library for backpropagation neural networks, boltzmann machines, gaussian processes and more.
- Licence: MIT, see COPYING.
- Author: Gábor Melis
- Mailto: [email protected]
- Homepage: http://quotenil.com
MGL is a Common Lisp machine learning library by Gábor
Melis with some parts originally contributed
by Ravenpack International. It mainly concentrates on various forms
of neural networks (boltzmann machines, feed-forward and recurrent
backprop nets). Most of MGL is built on top of MGL-MAT
so it has
BLAS and CUDA support.
In general, the focus is on power and performance not on ease of use. Perhaps one day there will be a cookie cutter interface with restricted functionality if a reasonable compromise is found between power and utility.
Here is the official repository and the HTML documentation for the latest version.
Documentation for this version is available in markdown format in MGL Manual. HTML documentation is generated for the latest version.