All Algorithms implemented in Python

Models and examples built with TensorFlow

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

OpenMMLab Detection Toolbox and Benchmark

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

A faster pytorch implementation of faster r-cnn

Implementation of Graph Convolutional Networks in TensorFlow

ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

Deformable Convolutional Networks

A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules

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

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

A PyTorch implementation of the YOLO v3 object detection algorithm

Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

SNIPER / AutoFocus is an efficient multi-scale object detection training / inference algorithm

Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)

Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.

Dual Attention Network for Scene Segmentation (CVPR2019)

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

An MXNet implementation of Mask R-CNN

[NeurIPS‘2021] "TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up", Yifan Jiang, Shiyu Chang, Zhangyang Wang

MobileNet build with Tensorflow

CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).

Deep Feature Flow for Video Recognition

This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'

The solution of team 'grt123' in DSB2017