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awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-deep-vision

A curated list of deep learning resources for computer vision

caffe-ocr

OCR with caffe deep learning framework

caffe-theano-conversion

citeseerx

CiteSeerX public repository

codalab

CodaLab Project

convnet

A GPU implementation of Convolutional Neural Nets in C++

crown

The Community-enRiched Open WordNet (CROWN)

dataserver

Zotero Data Server

deep-pink

Deep Pink is a chess AI that learns to play chess using deep learning.

deepmind-atari-deep-q-learner

The original code from the DeepMind article + my tweaks

eyescream

natural image generation using ConvNets

frontend-nanodegree-resume

gfx.js

A graphics backend for the browser (with a Torch7 client).

gitignore

A collection of useful .gitignore templates

ibis

Productivity-centric Python big data analysis framework for high performance at Hadoop-scale, with first-class integration with Impala. Co-founded by the creator of pandas

minerva

Minerva: a fast and flexible tool for deep learning on multi-GPU. It provides ndarray programming interface, just like Numpy. Python bindings and C++ bindings are both available. The resulting code can be run on CPU or GPU. Multi-GPU support is very easy.

neuraltalk

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

oa-stm-corpus

Corpus of Open Access articles from multiple fields in Science, Technology, and Medicine.

replicating-deepmind

Reproducing the results of "Playing Atari with Deep Reinforcement Learning" by DeepMind

rnnlib

A. Grave's RNNLIB made more readable

spearmint

Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012

wiki2vec

Generating Vectors for DBpedia Entities via Word2Vec and Wikipedia Dumps