yunlongding,github

awesome-deep-neural-network-compression

Summary, Code for Deep Neural Network Quantization

dwsrx4

DWSR x4 Deep wavelet prediction for image super-resolution

edsr-tensorflow

Tensorflow implementation of Enhanced Deep Residual Networks for Single Image Super-Resolution

hwgq

Caffe implementation of accurate low-precision neural networks

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)

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-playground

Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

pytorch-srresnet

pytorch implementation for Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network arXiv:1609.04802

quantized_distillation

Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"

rdn

Torch code for our CVPR 2018 paper "Residual Dense Network for Image Super-Resolution" (Spotlight)

rdn-tensorflow

A TensorFlow implementation of CVPR 2018 paper "Residual Dense Network for Image Super-Resolution".

resnet-in-tensorflow

Re-implement Kaiming He's deep residual networks in tensorflow. Can be trained with cifar10.

selfexsr

Single Image Super-Resolution from Transformed Self-Exemplars (CVPR 2015)

srcnn-tensorflow

Image Super-Resolution Using Deep Convolutional Networks in Tensorflow https://arxiv.org/abs/1501.00092v3

srresnet4x

Super resolution with srresnet using TnsorFlow

srresnet_tensorflow

the tf code of SRResNet in " Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network",

tensorflow-srgan

Tensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)

tensorflow_practice

tensorflow实战练习，包括强化学习、推荐系统、nlp等

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