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adaptsegnet

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

alexnet-pytorch

Pytorch Implementation of AlexNet

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

cdan

Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)

contrastive-adaptation-network-for-unsupervised-domain-adaptation

pytorch implementation for Contrastive Adaptation Network

cvpr21-deep-lucas-kanade-homography

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

d2l-pytorch

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

dann_py3

python 3 pytorch implementation of DANN

deeplearning

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

deeplearning-models

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

detectron

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

detectron2

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

focal-tversky-unet

This repo contains the code for our paper "A novel focal Tversky loss function and improved Attention U-Net for lesion segmentation" accepted at IEEE ISBI 2019.

fsl-dapna

Code for FSL model DAPNA (ICML2020).

goggles

Automatic Training Data Generation with Affinity Coding

houghnet

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

image_classification_pytorch

image classification using pytorch-project-template, train a model of classification easily by modifying a json configuration

image_segmentation

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

mae-pytorch

Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners

moving-semantic-transfer-network

Tensorflow codes for ICML2018, Learning Semantic Representations for Unsupervised Domain Adaptation

prototypical-network-pytorch

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

prototypical-networks

A novel method for few shot learning

pytorch-camp

pytorch-multi-class-focal-loss

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

pytorch-project-template

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

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

pytorch_dann

An implementation of DANN with pytorch

pytorch_image_classification

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

pytorch_tutorial

《Pytorch模型训练实用教程》中配套代码

scca

sparse Canonical Correlation Analysis