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articles

Workspace for collaborative paper writing.

dbm

A generic implementation of a Deep Boltzmann Machine (without pretraining)

deep_tempering

deepbelief

Code for training and evaluating restricted Boltzmann machines (RBMs) and deep belief networks (DBNs).

deeplearningtutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

erm

gfx.js

A graphics backend for the browser (with a Torch7 client).

graphicsmagick

A simple Lua wrapper to graphicsmagick.

hessianfree

An implementation of the Hessian-free optimization algorithm in Theano

hossrbm

hossrbm_public

hyperopt

Distributed Asynchronous Hyper-parameter Optimization

mfng

Accompanying code for the paper "Metric-Free Natural Gradient for Joint-Training of Boltzmann Machines" (http://arxiv.org/abs/1301.3545)

nn

optim

A numeric optimization package for Torch.

pipelines

Various experimental pipelines to be used in conjunction with pylearn2.

pylearn

A Machine Learning library based on Theano

pylearn2_bio

rmmala_rbm

Work on binary-binary RBMs, employing the Riemann manifold Metropolis adjusted Langevin algorithm for sampling and regularized w/ a CAE type penalty.

smlpt

Stochastic Maximum Likelihood with Adaptive Parallel Tempering

ssrbm

Accompanying code to TPAMI paper on ssRBMs.

theano

Optimizing GPU-meta-programming code generating array oriented optimizing math compiler in Python

torch-datasets

A collection of machine learning datasets for use with Torch7.

torch7