Build a Jekyll blog in minutes, without touching the command line.

A data science IDE for Python

A Haskell kernel for the Jupyter project.

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to …

Code and hyperparameters for the paper "Generative Adversarial Networks"

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

An extension to Torch7's nn package.

http://torch.ch

Constants used in Chinese text processing

My fork of Alex Krizhevsky's cuda-convnet from 2013 where I added dropout, among other features.

Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.

Convolutional neural networks C++ framework with CPU and GPU (CUDA) backends

Implementation of some deep learning algorithms.

Sparse Filtering

The iconic SVG, font, and CSS toolkit

Matlab Code for Restricted/Deep Boltzmann Machines and Autoencoders

Matrix library for CUDA in C++ and Python

Deep learning algorithms: A sparse autoencoder (and someday more algorithms), implemented in Common Lisp.

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