Simple Reinforcement learning tutorials

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

A neural network that transforms a screenshot into a static website

AI斗地主

CUDA miner project, compatible with most nvidia cards

Caffe2 is a cross-platform framework made with expression, speed, and modularity in mind.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

[DEPRECATED] Please move to https://github.com/thuml/transfer-caffe

Evaluation of the CNN design choices performance on ImageNet-2012.

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

Caffe: a fast open framework for deep learning.

Deep Learning Book Chinese Translation

MIT Deep Learning Book in PDF format

MS COCO API - http://mscoco.org/

Deep Residual Learning for Image Recognition

TensorFlow Tutorial and Examples for beginners

⚡ Go web framework benchmark

an imagenet example in torch.

An extension to Torch7's nn package.

Echo State Network mini-library

Fast parallel CTC.

Torch-7 FFI bindings for NVIDIA CuDNN

Torch on steroids

Recurrent Neural Network library for Torch7's nn

Torch implementation of Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks (http://arxiv.org/pdf/1312.6082.pdf)

Fast, asynchronous web framework for Lua/Torch

Packages for ZeroBrane Studio (https://studio.zerobrane.com)

Reimplementation of the clockwork recurrent neural network in Torch7

A Lua client library for the redis key value storage system.

An OCR-system based on torch using the technique of LSTM/GRU-RNN, CTC and referred to the works of rnnlib and clstm.