gujunli

Autoencoder

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

Autoencoder-RBM

caffe-cvprw15

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

caffe2

This is currently an experimental refactoring of Caffe.

deep-residual-networks

Deep Residual Learning for Image Recognition

deeplearning4j

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

OpenCL-caffe

OpenCL version of caffe

OpenCL-MLP

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

torch-residual-networks

This is a Torch implementation of ["Deep Residual Learning for Image Recognition",Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun](http://arxiv.org/abs/1512.03385) the winners of the 2015 ILSVRC and COCO challenges.

veles

Distributed machine learning platform

gujunli/caffe2

This is currently an experimental refactoring of Caffe.

gujunli/OpenCL-MLP

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

gujunli/bosen

SailingLab's Petuum project.

gujunli/Cafe

A powerful test framework for Android

gujunli/caffe

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

gujunli/char-rnn

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

gujunli/CLOC

CL Offline Compiler : Compile OpenCL kernels to HSAIL

gujunli/EasyCL

Easy to run kernels using OpenCL

gujunli/face-rating

A machine learning model that predicts facial attractiveness from images

gujunli/idlf

Intel® Deep Learning Framework

gujunli/jbosen

Petuum Bosen Java implementation

gujunli/OpenCL-CAFFE-Research

This is an OpenCL version of CAFFE, research version

gujunli/rcnn

R-CNN: Regions with Convolutional Neural Network Features

gujunli/wfvopencl-benchmarks

OpenCL Benchmarks, mostly from the AMD APP SDK. Some were slightly modified to allow better benchmarking of whole-function vectorization.