Beronx86

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

anglepy

DeepLearnToolbox

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 get you started.

deepnet

Implementation of some deep learning algorithms.

DensityPeakCluster

A cluster framework for 'Clustering by fast search and find of density peaks' in science 2014.

depnet

Dependency networks in C++ with Python bindings

dissect

Dshell

Dshell is a network forensic analysis framework.

glove-python

Toy Python implementation of http://www-nlp.stanford.edu/projects/glove/

GroundHog

Library for implementing RNNs with Theano

IPythonTheanoTutorials

is13

RNN and Spoken Language Understanding

LambdaNet

Purely functional artificial neural network library implemented in Haskell.

neuraltalk

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

NIWA_Python_seminars

A series of IPython notebooks on Python for data analysis geared towards environmental sciences

oneshot

oqa

Open Question Answering

Python-ELM

Extreme Learning Machine implementation in Python

rnn-speech-denoising

Recurrent neural network training for noise reduction in robust automatic speech recognition

ruby-warrior

Game written in Ruby for learning Ruby and artificial intelligence.

sigmoidBeliefNet

Torch/Lua Implementation for a Sigmoid Belief Network\

snake-ai

a snake AI written in python

theano-hf

General purpose Hessian-free optimization in Theano

theano_fftconv

Convolution op for Theano based on CuFFT using scikits.cuda

Variational-Autoencoder

Implementation of a variational Auto-encoder