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caffe

Caffe: a fast open framework for deep learning.

caffe-quantization

Added quantization layer into caffe (support a coarse level fixed point simulation)

channel-pruning

Channel Pruning for Accelerating Very Deep Neural Networks

dnn-pruning

A pyCaffe implementaion of the 2017 ICLR's "Pruning Filters for Efficient ConvNets" publication

drht

Image Correction via Deep Reciprocating HDR Transformation

feedforwardnet

Bottom up designed feed forward network functions for CNN applications

hdr-expandnet

hello-world

make a try

model-compression

model compression based on pytorch (1、quantization: 16/8/4/2 bits(dorefa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、ternary/binary value(twn/bnn/xnor-net)；2、 pruning: normal、regular and group convolutional channel pruning；3、 group convolution structure；4、batch-normalization folding for quantization)

nn_playground

Experimental keras implementation of novel neural network structures

nnieqat-pytorch

A nnie quantization aware training tool on pytorch.

pytorch-quantization-demo

A simple network quantization demo using pytorch from scratch.

pytorchtocaffe

Pytorch model to caffe model, supported pytorch 0.3, 0.3.1, 0.4, 0.4.1 ,1.0 , 1.0.1 , 1.2 ,1.3 .notice that only pytorch 1.1 have some bugs

transferlearning

Everything about Transfer Learning and Domain Adaptation--迁移学习