J.K.Guo's repositories
Demo
Practice Demo and Article
PyTorch_Tutorial
《Pytorch模型训练实用教程》中配套代码
pytorch-handbook
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
object-detection
Object detection on thermal images(FLIR dataset)
pytorch-OpCounter
Count the FLOPs of your PyTorch model.
torchsummaryX
torchsummaryX: Improved visualization tool of torchsummary
DBPN-Pytorch
Deep Back-Projection Networks for Super-Resolution (Winner of NTIRE2018 and PIRM2018)
PerfectWindows
Make Windows Great Again!
daily-paper-computer-vision
记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文
MSRN-PyTorch
This repository is a PyTorch version of the paper "Multi-scale Residual Network for Image Super-Resolution" (ECCV 2018).
pnn.pytorch.update
This repo houses the new PNN code, along with our responses to the issue raised in the recent Reddit discussion. The code is based on Michael Klachko’s repo with slight modification in model.py and main.py. All changes are marked.
dsrn
Implementation for our CVPR 2018 paper
lab_code
This repository is used to save codes in my research area.
CARN-pytorch
Official implementation of Efficient Cascading Residual Network for SR
caffe
Caffe: a fast open framework for deep learning.
EDSR-PyTorch
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
senet.pytorch
PyTorch implementation of SENet
srgan-1
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
ResidualDenseNetwork-Pytorch
Pytorch implement: Residual Dense Network for Image Super-Resolution
SRGAN_Wasserstein
Apply Waseerstein GAN into SRGAN, a deep learning super resolution model
light_head_rcnn
Light-Head R-CNN
SRGAN
A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"
Single-Image-Super-Resolution
A collection of high-impact and state-of-the-art SR methods
MemNet_PyTorch
An implementation of MemNet: A Persistent Memory Network for Image Restoration, ICCV2017
CycleGAN-tensorflow
Tensorflow implementation for learning an image-to-image translation without input-output pairs. https://arxiv.org/pdf/1703.10593.pdf
CycleGAN-Tensorflow-PyTorch-Simple
CycleGAN Tensorflow PyTorch
spatial-transformer-network
Tensorflow Implementation of Spatial Transformer Networks