gdesjardins/ssrbm
Accompanying code to TPAMI paper on ssRBMs.
Developer Profile
gdesjardins
Discovered public repositories for gdesjardins in the GitHub catalog.
gdesjardins/hossrbm_public
Public repository.
gdesjardins/optim
A numeric optimization package for Torch.
gdesjardins/graphicsmagick
A simple Lua wrapper to graphicsmagick.
gdesjardins/gfx.js
A graphics backend for the browser (with a Torch7 client).
gdesjardins/nn
Public repository.
gdesjardins/torch-datasets
A collection of machine learning datasets for use with Torch7.
gdesjardins/smlpt
Stochastic Maximum Likelihood with Adaptive Parallel Tempering
gdesjardins/pylearn2_bio
Public repository.
gdesjardins/deepbelief
Code for training and evaluating restricted Boltzmann machines (RBMs) and deep belief networks (DBNs).
gdesjardins/deep_tempering
Public repository.
gdesjardins/MFNG
Accompanying code for the paper "Metric-Free Natural Gradient for Joint-Training of Boltzmann Machines" (http://arxiv.org/abs/1301.3545)
gdesjardins/rmmala_rbm
Work on binary-binary RBMs, employing the Riemann manifold Metropolis adjusted Langevin algorithm for sampling and regularized w/ a CAE type penalty.
gdesjardins/hossrbm
Public repository.
gdesjardins/Theano
Optimizing GPU-meta-programming code generating array oriented optimizing math compiler in Python
gdesjardins/erm
Public repository.
gdesjardins/hyperopt
Distributed Asynchronous Hyper-parameter Optimization
gdesjardins/pipelines
Various experimental pipelines to be used in conjunction with pylearn2.
gdesjardins/pylearn
A Machine Learning library based on Theano
gdesjardins/DBM
A generic implementation of a Deep Boltzmann Machine (without pretraining)
gdesjardins/DeepLearningTutorials
Deep Learning Tutorial notes and code. See the wiki for more info.
gdesjardins/HessianFree
An implementation of the Hessian-free optimization algorithm in Theano
gdesjardins/articles
Workspace for collaborative paper writing.