BigChen28

opencv_exercises

opencv python exercises

Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

ailearning

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

Object-Detection-Metrics

Most popular metrics used to evaluate object detection algorithms.

pytorch-groupnorm

Group Normalization in PyTorch

group_normalization

pytorch implementation of group normalization in https://arxiv.org/abs/1803.08494

tf_estimator_barebone

TensorFlow template with high-level API

super-resolution

Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution

SRGAN

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

EDSR-PyTorch

PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

wdsr_ntire2018

Code of our winning entry to NTIRE super-resolution challenge, CVPR 2018

PIRM2018

Workshop and Challenge on Perceptual Image Restoration and Manipulation

Single-Image-Super-Resolution

A collection of high-impact and state-of-the-art SR methods

medical-data

C-SRCNN

Context Aware Medical Image Super-Resolution Using Convolution Neural Networks

Super-Resolution-in-Medical-Imaging-using-SRGAN

This repository contains code for the super resolution of medical images using SRGAN and other comparative models, such as SRCNN, SRResNet, and Sparse Representation.

RDN

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

pytorch-vdsr

VDSR (CVPR2016) pytorch implementation

PytorchNetHub

项目注释+论文复现+算法竞赛+Pytorch实践

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

free-programming-books-zh_CN

:books: 免费的计算机编程类中文书籍，欢迎投稿

Detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.