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adversarialnoise

A simple example of adversarial noise attack on pre-trained ImageNet ResNet50.

awesome-deep-learning-papers

The most cited deep learning papers

dbpn-pytorch

Deep Back-Projection Networks for Super-Resolution (Winner of NTIRE2018 and PIRM2018)

easy_running_hpc_cambioinfo

Example code and script for using Cam-HPC

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fid

FID score for MR image reconstruction

kitnn

Various neural network models for PyTorch.

medical-data

miassr

An Approach for Medical Image Arbitrary Scale Super-Resolution

msgan

A lesion focused GAN based single image super-resolution method for medical images.

pytorch-opcounter

Count the MACs / FLOPs of your PyTorch model.

rdst

Official implementation of RDST. A residual dense swin transformer for medical image super-resolution

readme

README文件语法解读，即Github Flavored Markdown语法介绍

segsr

Using Segmentation for Super-resolution evaluation

srgan

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

thesis

A LaTeX document class that conforms to the Computer Laboratory's PhD thesis formatting guidelines.

xdog-demo

Automatically exported from code.google.com/p/xdog-demo

zssr-1

"Zero-Shot" Super-Resolution using Deep Internal Learning