yuntaodu

HomOTL-ODDM

Homogeneous Online Transfer Learning with Online Distribution Discrepancy Minimization

BAIT_SFUDA

Unsupervised Domain Adaptation without Source Data by Casting a BAIT

Transfer-Learning-Toolkit

Transfer Learning Toolkit for Primary Researchers

UDA-norm-VAE

APE

[ECCV 2020] Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation

awesome-semi-supervised-learning

:scroll: An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

CDNE

Network Together: Node Classification via Cross-Network Deep Network Embedding

continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, GR, GR+distill, RtF, ER, A-GEM, iCaRL).

Dassl.pytorch

A PyTorch toolbox for domain adaptation and semi-supervised learning.

DDA

Code release for "Dynamic Domain Adaptation for Efficient Inference" (CVPR 2021)

Domain-generalization

All about domain generalization

DomainBed

DomainBed is a suite to test domain generalization algorithms

Dual-Mixup-Regularized-Learning-for-Adversarial-Domain-Adaptation

Implementation of "Dual Mixup Regularized Learning for Adversarial Domain Adaptation" in Pytorch

EPIC-KITCHENS-100_UDA_TA3N

FSSD_OoD_Detection

Feature Space Singularity for Out-of-Distribution Detection. (SafeAI 2021)

IntraDA

Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision (CVPR 2020 Oral)

Learning-Invariant-Representations-and-Risks

mixstyle-release

The code of our ICLR'21 paper, "Domain Generalization with MixStyle".

PCS-FUDA

Official implementation of PCS in essay "Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation"

PMGN

This is the official code repository for MM'20 paper 'Prototype-Matching Graph Network for Heterogeneous Domain Adaptation'

rca

RDA

Robust Domain Adaptation under Noisy Environments

REFILLED

This is the code of CVPR 2020 paper "Distilling Cross-Task Knowledge via Relationship Matching".

SFDA-Domain-Adaptation-without-Source-Data

This is an anonymous GitHub for a double-blind submission

SHOT

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

ssdg-benchmark

Benchmarks for semi-supervised domain generalization.

STRIPE

Code for our NeurIPS 2020 paper "Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity"

TA3N

[ICCV 2019 (Oral)] Temporal Attentive Alignment for Large-Scale Video Domain Adaptation (PyTorch)

transfer

Code and data for the paper "Multi-Source Domain Adaptation with Mixture of Experts" https://arxiv.org/abs/1809.02256

ZSL-ADA

Code accompanying the paper "A Generative Framework for Zero Shot Learning with Adversarial Domain Adaptation"