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arxiv-sanity-preserver

Web interface for browsing, search and filtering recent arxiv submissions

bllip-parser

BLLIP reranking parser (also known as Charniak-Johnson parser, Charniak parser, Brown reranking parser) See http://pypi.python.org/pypi/bllipparser/ for Python module.

bpl

Bayesian Program Learning model for one-shot learning

caffe

Caffe: a fast open framework for deep learning.

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

convnetjs

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

dcgan_code

Deep Convolutional Generative Adversarial Networks

deeplearning4j

Deep Learning for Java, Scala & Clojure on Hadoop, Spark

dl4nlp

Deep Learning for NLP resources

dm-atariai

Implements the Deep Mind Atari bot using Haskell

dnngraph

A DSL for deep neural networks, supporting Caffe and Torch

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano and TensorFlow.

neural-network-papers

neuraltalk

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

neuraltalk2

Efficient Image Captioning code in Torch, runs on GPU

rbm

restricted boltzmann machine

recurrentjs

Deep Recurrent Neural Networks and LSTMs in Javascript. More generally also arbitrary expression graphs with automatic differentiation.

reinforcejs

Reinforcement Learning Agents in Javascript (Dynamic Programming, Temporal Difference, Deep Q-Learning, Stochastic/Deterministic Policy Gradients)

rnn

playing with recurrent neural networks

stat212b

Topics Course on Deep Learning UC Berkeley

svmjs

Support Vector Machine in Javascript (SMO algorithm, supports arbitrary kernels) + GUI demo

tensorflow

Computation using data flow graphs for scalable machine learning

theano

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.

torch7

http://torch.ch

tutorials

A series of machine learning tutorials for Torch7