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cv-backbones

CV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.

cyclegan

A clean and readable Pytorch implementation of CycleGAN

data-analysis

Data Science Using Python

datamining

learn in datamining

dbpn-pytorch

The project is an official implement of our CVPR2018 paper "Deep Back-Projection Networks for Super-Resolution" (Winner of NTIRE2018 and PIRM2018)

dcscn-super-resolution

A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image Super-Resolution (SISR) model.

deeplearningbook-chinese

Deep Learning Book Chinese Translation

denserelationalcaptioning

Code of Dense Relational Captioning

deoldify

A Deep Learning based project for colorizing and restoring old images (and video!)

divanet

PyTorch implementation of Single image super-resolution based on directional variance attention network (Pattern Recognition2022)

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

dm-gan

drn

Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution

eccv2020-code

ECCV 2020 论文开源项目合集，同时欢迎各位大佬提交issue，分享ECCV 2020开源项目

elm-pytorch

Extreme Learning Machine implemented in Pytorch

elm-pytorch-1

Pytorch implementation of Extreme Learning Machine

elm-tensorflow

Extreme Learning Machine with TensorFlow

espcn

A PyTorch implementation of ESPCN based on CVPR 2016 paper "Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network"

espcn-1

espcn的简单实现,提供两种类型的神经网络.感觉中和下两种网络的特性可以达到更好的效果.

espcn-tensorflow

An implementation of the Efficient Sub-Pixel Convolutional Neural Network in TensorFlow

esrgan

ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution (Third Region)

esrgan_basicsr

esrgan implementation using the publicly available BasicSR package

esrgan_v1

Basic Super-Resolution codes for development. Includes ESRGAN, SFT-GAN for training and testing.

evison

We provide an easy way for visualizing

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

gha-imagecaptioning

Code for GHA (ACCV2018)

goodnews

Good News Everyone! - CVPR 2019

graph-rcnn.pytorch

Pytorch code for our ECCV 2018 paper "Graph R-CNN for Scene Graph Generation" and other papers

hetconvolution2d_pytorch

HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs simply implement

image-caption-pytorch

This is an implementation of image caption, based on two different papers. The two papers are: 1. Show and Tell: A Neural Image Caption Generator 2. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention