DanyaXu's Stars
CityU-AIM-Group/FedPD
[ICCV' 23] FedPD: Federated Open Set Recognition with Parameter Disentanglement
PaddlePaddle/PaddleSpatial
PaddleSpatial is an open-source spatial-temporal computing tool based on PaddlePaddle.
MediaBrain-SJTU/FedDG-GA
[CVPR 2023] Federated Domain Generalization with Generalization Adjustment
atuannguyen/FedSR
tim-learn/SHOT
code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"
DashanGao/Federated-Transfer-Learning-for-EEG
This is the code of the paper "Federated Transfer Learning for EEG Signal Classification" published in IEEE EMBS 2020 (42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society in conjunction with the 43rd Annual Conference of the Canadian Medical and Biological Engineering Society July 20-24, 2020 via the EMBS Virtual Academy)
gydpku/OCM
junkangwu/DisenKGAT
[CIKM 2021] Official code of "DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network"
emadeldeen24/AdaTime
[TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data
hectorLop/Conditional-Adversarial-Domain-Generalization-with-Single-Discriminator
Pytorch implementation of the paper: "Conditional Adversarial Domain Generalization With a Single Discriminator for Bearing Fault Diagnosis"
mohamedr002/CCDG
Conditional Contrastive Domain Generalization For Fault Diagnosis
fungtion/DSN
Pytorch implementation of Domain Separation Networks
AmirHussein96/ODIN
Domain Adaptation with Representation Learning and Nonlinear Relation for Time Series
Naresh1318/Adversarial_Autoencoder
A wizard's guide to Adversarial Autoencoders
YuqiCui/MMD_AAE
Code refactoring for paper "Domain Generalization with Adversarial Feature Learning" in VLCS datasets.
hellowangqian/domain-adaptation-capls
Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling
yxgeee/MMT
[ICLR-2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.
Haochen-Wang409/U2PL
[CVPR'22 & IJCV'24] Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels & Using Unreliable Pseudo-Labels for Label-Efficient Semantic Segmentation
microsoft/StemGNN
Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting
corenel/pytorch-adda
A PyTorch implementation for Adversarial Discriminative Domain Adaptation
ZongxianLee/MMD_Loss.Pytorch
A pytorch implementation of Maximum Mean Discrepancies(MMD) loss
vivekn/sentiment
Sentiment analysis using machine learning techniques.
apachecn/ailearning
AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
mit-han-lab/dlg
[NeurIPS 2019] Deep Leakage From Gradients
SoongE/siamese-one-shot-pytorch
Example of one shot learning and few shot learning with omniglot dataset.
Davidham3/STSGCN
AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting
IsuruMaduranga/federated-gcn
This repository contains python scripts related to a research that is intended to run graph convolution neural networks in federated manner on distributed graph databases
Duan-JM/awesome-papers-fewshot
Collection for Few-shot Learning
tata1661/FSL-Mate
FSL-Mate: A collection of resources for few-shot learning (FSL).
wyharveychen/CloserLookFewShot
source code to ICLR'19, 'A Closer Look at Few-shot Classification'