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pytorch-infogan

PyTorch implementation InfoGAN

pytorch-mnist

PyTorch is an item library for MNIST dataset competition

pytorch-ncsn

This is the best GAN method to generate cifar-10

pytorch-pggan

PyTorch implementation PGGAN

pytorch-pix2pixhd

PyTorch implements high resolution image generation

pytorch-project

Some pytorch projects self-fork

pytorch-stackgan

PyTorch implements StackGAN

pytorch-stylegan

PyTorch implements StyleGAN

pytorch-tutorial

fork Yunjey Choi/ [@yunjey](https://github.com/yunjey)

pytorch-tutorials

There are tutorials for PyTorch beginners

pytorch-vae

PyTorch simple implements VAE

pytorch-vgg19-cifar100

Pytorch implements the VGG19 model to classify cifar100

pytorch-wassersteingans

pytorch-wgangp

PyTorch implements WGAN_GP

rcan-pytorch

PyTorch implements `Image Super-Resolution Using Very Deep Residual Channel Attention Networks` paper.

rcgan-pytorch

PyTorch implements Image Super-Resolution Using Very Deep Residual Channel Attention Networks

rdn-pytorch

PyTorch implements `Residual Dense Network for Image Super-Resolution` paper.

real_esrgan-pytorch

PyTorch implements `Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data` paper.

realsr-pytorch

PyTorch implements `Toward Real-World Single Image Super-Resolution: A New Benchmark and A New Model` paper.

repvgg-pytorch

PyTorch implements `RepVGG: Making VGG-style ConvNets Great Again` paper.

resnet-pytorch

PyTorch implements `Deep Residual Learning for Image Recognition` paper.

resnet-pytorch-backup

Fully reproduce the pairs of ImageNet and CIFAR in the paper

resnetxt-pytorch

PyTorch implements `Aggregated Residual Transformations for Deep Neural Networks` paper.

rfb_esrgan-pytorch

Simple realization of papers in oppo Research Institute super score competition.

scn-pytorch

PyTorch implements `Scale-wise Convolution for Image Restoration` paper.

scripts

All Scripts in here

sftmd-pytorch

PyTorch implements `Blind Super-Resolution With Iterative Kernel Correction` paper.

shufflenetv1-pytorch

PyTorch implements `ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices` paper.

shufflenetv2-pytorch

PyTorch implements `ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design` paper.

smash-pytorch

PyTorch implements `SMASH: One-Shot Model Architecture Search through HyperNetworks` paper.