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adversarialnetspapers

The classical Papers about adversial nets

ai-toolbox

A C++ framework for MDPs and POMDPs with Python bindings

appearance-flow

A deep learning framework for synthesizing novel views of objects and scenes

cacu

This is a deep learning framework for cnn which using xnor method to accelerate calculating convolution layer on cpu.

cacue

CACU's Evolution version

caffe

Caffe: a fast open framework for deep learning.

deep-residual-networks

Deep Residual Learning for Image Recognition

fast-rcnn

Fast R-CNN

fft_conv

gan

GAN model on CACUE

luhaofang

luhaofang.github.io

mdp

sample toy about markov decision process model

medical-data

mkl-dnn

Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN)

mxnet

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

neural-style

Torch implementation of neural style algorithm

nnpack

Acceleration package for neural networks on multi-core CPUs

py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

pytorch_fine_tuning_tutorial

A short tutorial on performing fine tuning or transfer learning in PyTorch.

tripletloss

tripletloss in caffe

tts

🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production