lemonzhoumeng Goto Github PK

3ddfa

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

ailearning

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

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

ce-net

The manuscript has been accepted in TMI.

d2l-zh

《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。

dcan

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

fitlog

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

g-sfda

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

labelme

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

ladder

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

leeml-notes

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

pseudo_label-pytorch

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

pytorch-beginner

pytorch tutorial for beginners

pytorch-examples

Simple examples to introduce PyTorch

pytorch-tutorial

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

sc-net

segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

sfda-dpl

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

sfda-sourcefreeda

Published in IEEE Transactions on Artificial Intelligence

shot

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

srda_miccai

Source Free Domain Adaptation

ss-sfda-self-supervised-source-free-domain-adaptation-for-road-segmentation-in-hazardous-environme

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

ssl4mis

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

statistical-learning-method_code

手写实现李航《统计学习方法》书中全部算法

tempens

Temporal ensembling for semi-supervised learning

tensorboardx

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

transfer-learning-materials

resource collection for transfer learning!

tricks-of-semi-superviseddeepleanring-pytorch

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

uda-medical-image-segmentation-sfs

unet-family

Paper and implementation of UNet-related model.