Alternatives and similar repositories for Awesome-Domain-Generalization

Users that are interested in Awesome-Domain-Generalization are comparing it to the libraries listed below

• YuejiangLIU / awesome-source-free-test-time-adaptation
  Test-time Adaptation, Test-time Training and Source-free Domain Adaptation
  ☆525Updated last year
• tim-learn / awesome-test-time-adaptation
  Collection of awesome test-time (domain/batch/instance) adaptation methods
  ☆1,133Updated 2 weeks ago
• mariodoebler / test-time-adaptation
  A repository and benchmark for online test-time adaptation.
  ☆252Updated 6 months ago
• RabbitBoss / Awesome-Realistic-Semi-Supervised-Learning
  An awesome paper list of Semi-Supervised Learning under realistic settings.
  ☆124Updated last year
• thuml / A-Roadmap-for-Transfer-Learning
  ☆166Updated 3 years ago
• JosephKJ / Awesome-Novel-Class-Discovery
  A list of papers that studies Novel Class Discovery
  ☆509Updated 3 months ago
• BIT-DA / CIRL
  [CVPR 2022 Oral] Code release for "Causality Inspired Representation Learning for Domain Generalization"
  ☆159Updated 2 years ago
• 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 Ad…
  ☆473Updated last year
• facebookresearch / DomainBed
  DomainBed is a suite to test domain generalization algorithms
  ☆1,569Updated 11 months ago
• yuntaodu / Transfer-learning-materials
  resource collection for transfer learning!
  ☆250Updated 2 years ago
• qinenergy / cotta
  [CVPR 2022] Official CoTTA Code for our paper Continual Test-Time Domain Adaptation
  ☆292Updated last year
• KaiyangZhou / Dassl.pytorch
  A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.
  ☆1,392Updated 2 years ago
• yfzhang114 / Generalization-Causality
  关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记
  ☆1,238Updated last year
• MengyuanChen21 / Awesome-Evidential-Deep-Learning
  A curated publication list on evidential deep learning.
  ☆151Updated 7 months ago
• xiaoachen98 / DALN
  [CVPR2022] Official implementation of DALN.
  ☆91Updated 3 years ago
• DequanWang / tent
  ICLR21 Tent: Fully Test-Time Adaptation by Entropy Minimization
  ☆428Updated 4 years ago
• NaJaeMin92 / pytorch-DANN
  PyTorch implementation of DANN (Domain-Adversarial Training of Neural Networks)
  ☆144Updated 2 years ago
• LAMDA-CL / Awesome-Few-Shot-Class-Incremental-Learning
  Awesome Few-Shot Class-Incremental Learning
  ☆248Updated last year
• LAMDA-CL / CIL_Survey
  Class-Incremental Learning: A Survey (TPAMI 2024)
  ☆268Updated last year
• driptaRC / DECISION
  Unsupervised Multi-source Domain Adaptation Without Access to Source Data (CVPR '21 Oral)
  ☆58Updated 3 years ago
• amber0309 / Domain-generalization
  All about domain generalization
  ☆842Updated 9 months ago
• xxgege / StableNet
  Official repository for CVPR21 paper "Deep Stable Learning for Out-Of-Distribution Generalization".
  ☆197Updated 3 years ago
• Jingkang50 / OODSurvey
  The Official Repository for "Generalized OOD Detection: A Survey"
  ☆456Updated 3 years ago
• mr-eggplant / SAR
  Code for ICLR 2023 paper (Oral) — Towards Stable Test-Time Adaptation in Dynamic Wild World
  ☆198Updated 2 years ago
• Vision-Intelligence-and-Robots-Group / Best-Incremental-Learning
  An Incremental Learning, Continual Learning, and Life-Long Learning Repository
  ☆603Updated last year
• thuml / Domain-Adaptation-Regression
  Code release for Representation Subspace Distance for Domain Adaptation Regression (ICML 2021)
  ☆84Updated 4 years ago
• ismailnejjar / DARE-GRAM
  [CVPR 2023] Code for our paper DARE-GRAM : Unsupervised Domain Adaptation Regression by Aligning Inversed Gram Matrices
  ☆58Updated 2 years ago
• mxl1990 / tsne-pytorch
  Pytorch implementation for t-SNE with cuda to accelerate
  ☆339Updated 2 years ago
• feifeiobama / Awesome-Continual-Learning
  A curated list of Continual Learning papers and BibTeX entries
  ☆198Updated last year
• mala-lab / COCL
  Official implementation for "Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning" (AAAI'24)
  ☆19Updated last year