Alternatives and similar repositories for SSAN

Users that are interested in SSAN are comparing it to the libraries listed below

• daoyuan98 / MDDA
  Implementation of paper multi-source distilling domain adaptation
  ☆56Updated 5 years ago
• hanzhaoml / MDAN
  Demo code for the MDAN paper.
  ☆124Updated 5 years ago
• thuml / Separate_to_Adapt
  Code release for Separate to Adapt: Open Set Domain Adaptation via Progressive Separation (CVPR 2019)
  ☆60Updated 5 years ago
• tim-learn / ATDOC
  code released for our CVPR 2021 paper "Domain Adaptation with Auxiliary Target Domain-Oriented Classifier"
  ☆58Updated 2 years ago
• driptaRC / DECISION
  Unsupervised Multi-source Domain Adaptation Without Access to Source Data (CVPR '21 Oral)
  ☆58Updated 3 years ago
• dingkmC / MSDA
  Multiple Source Domain Adaptation with Adversarial Learning
  ☆22Updated 5 years ago
• CuthbertCai / pytorch_DAN
  An implementation of Deep Adaptation Network with pytorch
  ☆113Updated 7 years ago
• tsxce / Moment-Matching-for-Multi-Source-Domain-Adaptation-M3SDA
  This code was finished before source code hasn't been released.
  ☆27Updated 5 years ago
• yimzhai3 / ETD
  Enhanced Transport Distance for Unsupervised Domain Adaptation
  ☆12Updated 5 years ago
• daoyuan98 / MSDA
  Experiments on Multi-Source Domain Adaptation
  ☆25Updated 6 years ago
• XJTU-XGU / Adversarial-Reweighting-for-Partial-Domain-Adaptation
  Code for Adversarial Reweighting for Partial Domain Adaptation (NeurIPS 2021)
  ☆35Updated last year
• BIT-DA / JADA
  [ACM MM 2019] Code release for "Joint Adversarial Domain Adaptation" https://dl.acm.org/doi/10.1145/3343031.3351070
  ☆19Updated 4 years ago
• lijin118 / ATM
  Maximum Density Divergence for Domain Adaptation, TPAMI 2020, Code release, Cross-domain Adversarial Tight Match
  ☆45Updated 5 years ago
• gzqhappy / FGDA
  ☆19Updated 3 years ago
• Hv0nnus / MLOT
  This is the repository to reproduce the experiments of the IJCAI 2020 paper "Metric Learning in Optimal Transport for Domain Adaptation"
  ☆22Updated 5 years ago
• YuqiCui / MMD_AAE
  Code refactoring for paper "Domain Generalization with Adversarial Feature Learning" in VLCS datasets.
  ☆56Updated 5 years ago
• LeoXinhaoLee / Imbalanced-Source-free-Domain-Adaptation
  Code released for our ACM MM 2021 paper "Imbalanced Source-free Domain Adaptation".
  ☆21Updated 3 years ago
• fang-zhen / Open-set-domain-adaptation
  Open set domain adaptation code DAOD
  ☆28Updated 3 years ago
• BIT-DA / BCDM
  [AAAI 2021] Code release for "Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation" https://arxiv.org/abs/2012.0699…
  ☆36Updated 4 years ago
• youngryan1993 / SFDA-SourceFreeDA
  Published in IEEE Transactions on Artificial Intelligence
  ☆56Updated 3 years ago
• sofiendhouib / MADAOT
  Code for "Margin-aware Adversarial Domain Adaptation with Optimal Transport" paper
  ☆16Updated 3 years ago
• yuntaodu / Transfer-learning-materials
  resource collection for transfer learning!
  ☆249Updated last year
• amber0309 / Multidomain-Discriminant-Analysis
  Code for UAI 2019 paper "Domain Generalization via Multidomain Discriminant Analysis"
  ☆14Updated 5 years ago
• YooJiHyeong / CCSA_PyTorch
  PyTorch implementation of CCSA("Unified Deep Supervised Domain Adaptation and Generalization")
  ☆45Updated 6 years ago
• krumo / swd_pytorch
  An unofficial PyTorch implementation for CVPR 2019 work "Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation"
  ☆44Updated 5 years ago
• Solacex / Domain-Consensus-Clustering
  [CVPR2021] Domain Consensus Clustering for Universal Domain Adaptation
  ☆110Updated 3 years ago
• yfzhang114 / Environment-Label-Smoothing
  This is an official PyTorch implementation of the ICLR 2023 paper 《Free Lunch for Domain Adversarial Training: Environment Label Smoothin…
  ☆59Updated 2 years ago
• thuml / MDD
  Code released for ICML 2019 paper "Bridging Theory and Algorithm for Domain Adaptation".
  ☆138Updated 6 years ago
• NiXiao-cqu / TransferLearning-dwl-cvpr2021
  ☆19Updated 3 years ago
• BIT-DA / EADA
  [AAAI 2022] Official Implementation of Active Learning for Domain Adaptation: An Energy-based Approach https://arxiv.org/abs/2112.01406
  ☆88Updated last year