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autoencoder

This is implementation of autoencoder in C++, OpenCL, CUDA

autoencoder-rbm

autoware

Open-Source To Self-Driving.

binarynet

Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

bosen

SailingLab's Petuum project.

cafe

A powerful test framework for Android

caffe

Caffe: a fast open framework for deep learning. With OpenCL and CUDA support.

caffe-cvprw15

:heart::coffee: Deep Learning of Binary Hash Codes for Fast Image Retrieval (CVPRW15)

caffe-segnet

Implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-Wise Labelling

caffe2

This is currently an experimental refactoring of Caffe.

caffenet-benchmark

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

char-rnn

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

clblast

Tuned OpenCL BLAS

clcudaapi

A portable high-level API with CUDA or OpenCL back-end

cloc

CL Offline Compiler : Compile OpenCL kernels to HSAIL

deep-residual-networks

Deep Residual Learning for Image Recognition

deepdreamvideo

implementing deep dream on video

deeplearning4j

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

dmtk

Microsoft Distributed Machine Learning Tookit

easycl

Easy to run kernels using OpenCL

face-rating

A machine learning model that predicts facial attractiveness from images

fast-rcnn

Fast R-CNN

gpumembench

A GPU benchmark suite for assessing on-chip GPU memory bandwidth

gtavisionexport

Code to export full segmentations from GTA

idlf

Intel® Deep Learning Framework

jbosen

Petuum Bosen Java implementation

models

Models built with TensorFlow

mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, and more

neon

Fast, scalable, easy-to-use Python based Deep Learning Framework by Nervana™

olib

Automatically exported from code.google.com/p/olib