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Torch9 Core Library.

Torch9 provides a Matlab-like environment for state-of-the-art machine learning algorithms. It is easy to use and provides a very efficient implementation, thanks to an easy and fast scripting language (Luajit) and few C code lines for critical inner loops.

This package provides the core of the Torch9 distribution.

Note: Torch9 is still beta.

Installation

Requirements

Getting the last version from the git:

# first get the argcheck dependency
luarocks build https://raw.github.com/andresy/argcheck/master/rocks/argcheck-scm-1.rockspec

# now get torch
luarocks build https://raw.github.com/andresy/torch9/master/rocks/torch-9.scm-1.rockspec

Running

$ luajit -ltorch
Torch 9.0 -- Copyright (C) 2001-2013 Idiap, NEC Labs, NYU. http://www.torch.ch/
LuaJIT 2.0.0 -- Copyright (C) 2005-2012 Mike Pall. http://luajit.org/
JIT: ON CMOV SSE2 SSE3 SSE4.1 fold cse dce fwd dse narrow loop abc sink fuse
> 

Documentation

Coming soon.

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The ultimate Torch library.

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