A collection of AWESOME things about domian adaptation

code for our ICCV 2021 paper 'Generalized Source-free Domain Adaptation'

resource collection for transfer learning!

[MICCAI'21] Source-Free domain adaptive fundus image segmentation with denoised pseudo-labeling

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

[AAAI 2020] Code release for "Domain Conditioned Adaptation Network"

Published in IEEE Transactions on Artificial Intelligence

Source Free Domain Adaptation

Codebase for the paper 'SS SFDA: Self-Supervised Source Free Domain Adaptation for Road Segmentation in Hazardous Environments'

手写实现李航《统计学习方法》书中全部算法

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

Segmentation models with pretrained backbones. PyTorch.

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被全球175所大学采用教学。

李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

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

Build your neural network easy and fast, 莫烦Python中文教学

pytorch tutorial for beginners

fitlog是一款在深度学习训练中用于辅助用户记录日志和管理代码的工具

The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.

Simple examples to introduce PyTorch

Paper and implementation of UNet-related model.

PseudoLabel 2013, VAT, PI model, Tempens, MeanTeacher, ICT, MixMatch, FixMatch

The manuscript has been accepted in TMI.

The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks

Ladder network is a deep learning algorithm that combines supervised and unsupervised learning

Temporal ensembling for semi-supervised learning