Florahere

MSDA

CoNMix

Source free Single and Multi target Unsupervised Domain Adaptation

DECISION

Unsupervised Multi-source Domain Adaptation Without Access to Source Data (CVPR '21 Oral)

USFDA

Universal Source-Free Domain Adaptation (CVPR 2020)

FedMeta-FFD

This is the implementation of Federated Meta-Learning for Few shot Fault Diagnosis (FedMeta-FFD).

transfer

Code and data for the paper "Multi-Source Domain Adaptation with Mixture of Experts" (EMNLP 2018)

Dual-Refinement

CatGAN-bearing-faults

Implementation of categorical generative adversarial networks for unsupervised bearing fault diagnostics

Awesome-time-series

A comprehensive survey on the time series domains

TL-Fault-Diagnosis-Library

Fault Diagnosis Employing Transfer Learning Techniques: Domain Adaptation and Domain Generalization

SF-PGL

This work is the official Pytorch implementation of our papers: Source-Free Progressive Graph Learning for Open-Set Domain Adaptation (TPAMI))

DaC

Code for Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning (NeurIPS 2022).

Guiding-Pseudo-labels-with-Uncertainty-Estimation-for-Source-free-Unsupervised-Domain-Adaptation

Code for "Guiding-Pseudo-labels-with-Uncertainty-Estimation-for-Source-free-Unsupervised-Domain-Adaptation" (CVPR 2023)

SHOT-plus

code for our TPAMI 2021 paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"

pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

JDDA-Master

Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation（AAAI-2019）

FRAN

This repo provides source code for cross-domain machine fault diagnosis using an unsupervised domain adaptation approach (Feature Representation Alignment Networks).

MVI

This repo provides source code for MVI paper: Mutual Variational Inference: An Indirect Variational Inference Approach for Unsupervised Domain Adaptation

CVPR2021-SSDA

A pytorch implementation for "Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation", which is accepted by CVPR2021.

Probabilistic-Contrastive-Learning

Probabilistic Contrastive Learning for Domain Adaptation

DPNet

WDASS

ProDA

Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation (CVPR 2021)

ProCA

[ECCV 2022] Prototypical Contrast Adaptation for Domain Adaptive Semantic Segmentation

BCDM

[AAAI 2021] Code release for "Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation" https://arxiv.org/abs/2012.06995

ETD

Enhanced Transport Distance for Unsupervised Domain Adaptation

Batch-Spectral-Penalization

Code release for Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation (ICML 2019)

SRDC-CVPR2020

Code release for Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering (CVPR2020-Oral).

Learning_to_diversify

CLUE

PyTorch code for Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings (ICCV 2021)