Andy12392

MAE-pytorch

Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners

CVPR21-Deep-Lucas-Kanade-Homography

A generic pipeline to align multimodal image pairs from different sensors by extending Lucas-Kanade on feature maps. CVPR2021

SSDA_MME

Semi-supervised Domain Adaptation via Minimax Entropy

pytorch_image_classification

PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet

pytorch-multi-class-focal-loss

An implementation of Focal Loss, as described in the RetinaNet paper, generalized to the multi-class case.

Pytorch-Camp

PyTorch_Tutorial

《Pytorch模型训练实用教程》中配套代码

DANN_py3

python 3 pytorch implementation of DANN

transferlearning

Everything about Transfer Learning and Domain Adaptation--迁移学习

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

Contrastive-Adaptation-Network-for-Unsupervised-Domain-Adaptation

pytorch implementation for Contrastive Adaptation Network

detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

Detectron

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

AdaptSegNet

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

SHOT

code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"

houghnet

[ECCV-20] Official PyTroch implementation of HoughNet, a voting-based object detector.

Pytorch-Project-Template

A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.

FSL-DAPNA

Code for FSL model DAPNA (ICML2020).

unsup3d

(CVPR'20 Oral) Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild

Image_Segmentation

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

prototypical-network-pytorch

A re-implementation of "Prototypical Networks for Few-shot Learning"

unet-denoising-dirty-documents

参考眼底图像血管分割retina-unet实现的文档去噪、去水印

Unet-Segmentation-Pytorch-Nest-of-Unets

Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet

the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

deeplearning-models

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

DeepLearning

深度学习入门教程&&优秀文章&&Deep Learning Tutorial

alexnet-pytorch

Pytorch Implementation of AlexNet

Prototypical-Networks

A novel method for few shot learning

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers