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adp_lua

A simple implementation of algebraic dynamic programming in lua.

auto-sklearn

caffe

Caffe: a Fast framework for neural networks. For the most recent version, check out branch dev. For a more stable version, check out branch master.

cluster_lspi

An implementation of LSPI together with kmeans clustering for value function approximation.

compyte

A common set of compute primitives for PyCUDA and PyOpenCL

dl_lab_2016

Deep Learning Lab Course

dotfiles

emacs.d

gaussian_mixture

An implementation of gaussian mixture models using the Eigen library. Optionally depends on the ros.org infrastructure.

gym

A toolkit for developing and comparing reinforcement learning algorithms.

hpolibconfigspace

lns

A hackish implementation of the Logarithmic Number System for floating point arithmetics in c.

mocha.jl

Deep Learning framework for Julia

nixpkgs

Nix Packages collection

nn_simple

A simple c++ neural network implementation based on eigen that is useful for teaching and as a basis for more complex experiments

pysmac

simple python interface to SMAC.

rbm

A simple, and a bit outdated ;) rbm implementation I wrote in c++ using the Eigen library.

rnn

Recurrent Neural Network library for Torch7's nn

robo

RoBO: a Robust Bayesian Optimization framework

sacred

Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

sgmcmc

Stochastic Gradient MCMC algorithms implemented in theano (and autograd)

sparsesolvereigen

A Sparse solver for linear systems using the FISTA algorithm as well as a solver for group sparse problems using an OSCAR like implementation

torch

void-packages

The XBPS source packages collection