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attention-augmented-conv2d

Implementing Attention Augmented Convolutional Networks using Pytorch

autogluon

AutoGluon: AutoML Toolkit for Deep Learning

bsrgan

Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (PyTorch) - We released the testing code!

centernet

Codes for our paper "CenterNet: Keypoint Triplets for Object Detection" .

cornernet

deeplearning-models

A collection of various deep learning architectures, models, and tips

extremenet

Bottom-up Object Detection by Grouping Extreme and Center Points

faceswap

Deepfakes Software For All

faldetector

Code for the paper: Detecting Photoshopped Faces by Scripting Photoshop

fcos

FCOS: Fully Convolutional One-Stage Object Detection

garbage_classify

This is a game about garbage sorting organized by Huawei Cloud, this repository stores my plan.

gcnet

GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

gluon-cv

Gluon CV Toolkit

huawei2019-with-visualization

华为2019评判器开源(提供可视化接口，方便大家调试自己的判题器)

image_aug_for_detection

To augment image dataset for detection

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

prepare_detection_dataset

convert dataset to coco/voc format

pytorch-opcounter

Count the MACs / FLOPs of your PyTorch model.

rbpn-pytorch

The project is an official implement of our CVPR2019 paper "Recurrent Back-Projection Network for Video Super-Resolution"

seckill

Chrome浏览器 抢购、秒杀插件，秒杀助手，定时自动点击

solo

SOLO: Segmenting Objects by Locations https://arxiv.org/abs/1912.04488

super-resolution.benckmark

Benchmark and resources for single super-resolution algorithms

tensorflow

An Open Source Machine Learning Framework for Everyone

terminal

The new Windows Terminal, and the original Windows console host -- all in the same place!

videosuperresolution

A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.

vsr-duf-reimplement

It is a re-implementation of paper named "Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation" called VSR-DUF model. There are both training codes and test codes about VSR-DUF based tensorflow.

x-force

winning sloution of Digtial Manfacturing Algorithm Competition II of JinNan Tianjin

yolact

A simple, fully convolutional model for real-time instance segmentation.