Alternatives and similar repositories for DARE-GRAM

Users that are interested in DARE-GRAM are comparing it to the libraries listed below

• thuml / Domain-Adaptation-Regression
  Code release for Representation Subspace Distance for Domain Adaptation Regression (ICML 2021)
  ☆82Updated 3 years ago
• GRichard513 / ADisc-MSDA
  Code for Unsupervised Multi-Source Domain Adaptation for Regression paper
  ☆18Updated 4 years ago
• XJTU-XGU / Adversarial-Reweighting-for-Partial-Domain-Adaptation
  Code for Adversarial Reweighting for Partial Domain Adaptation (NeurIPS 2021)
  ☆35Updated last year
• changwxx / UniOT-for-UniDA
  Source code for the NeurIPS 2022 Spotlight paper: "Unified Optimal Transport Framework for Universal Domain Adaptation"
  ☆60Updated 2 years ago
• mohamedr002 / MAPU_SFDA_TS
  ☆21Updated last year
• 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
• oezyurty / CLUDA
  Contrastive Learning for Domain Adaptation of Time Series
  ☆89Updated last year
• emadeldeen24 / CoTMix
  [TAI 2023] Contrastive Domain Adaptation for Time-Series via Temporal Mixup
  ☆30Updated last year
• yuweien1120 / CCQNet
  ☆23Updated 6 months ago
• pilsHan / awesome-source-free-domain-adaptation
  ☆25Updated 2 years ago
• ispc-lab / LEAD
  [CVPR 2024] The official repository of our paper "LEAD: Learning Decomposition for Source-free Universal Domain Adaptation"
  ☆33Updated last month
• antoinedemathelin / wann
  Adversarial Weighting for Domain Adaptation in Regression
  ☆23Updated 3 years ago
• DTennant / GPC
  ☆21Updated 7 months ago
• agrija9 / Deep-Unsupervised-Domain-Adaptation
  Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark…
  ☆90Updated 3 years ago
• yulearningg / LRDG
  Domain Generalization by Learning and Removing Domain-specific Features, NeurIPS 2022
  ☆25Updated last year
• CtrlZ1 / Domain-Adaptation-Algorithms
  Record my work in transfer learning during my postgraduate period.
  ☆50Updated last year
• KerryDRX / EvidentialADA
  Official implementation of Evidential Uncertainty Quantification: A Variance-Based Perspective [WACV 2024]
  ☆18Updated last year
• JoonHo-Jang / UADAL
  ☆24Updated 2 years ago
• zqiao11 / TSCIL
  [KDD2024] Class-incremental Learning for Time Series: Benchmark and Evaluation
  ☆54Updated 11 months ago
• danruod / IEDL
  [ICML 2023] Offical implementation of the paper "Uncertainty Estimation by Fisher Information-based Evidential Deep Learning".
  ☆43Updated 2 years ago
• XJTU-XGU / ARPM
  Code for ARPM ("Adversarial Reweighting with α-Power Maximization for Domain Adaptation"), IJCV, 2024.
  ☆13Updated last year
• rookiehb / DisMAE
  [ECCV 2024] Official Implementation of "Disentangling Masked Autoencoders for Unsupervised Domain Generalization"
  ☆13Updated 10 months ago
• zhaorui-tan / GMDG_cvpr2024
  Rethinking Multi-domain Generalization with A General Learning Objective, accepted by cvpr24
  ☆16Updated 6 months ago
• driptaRC / DECISION
  Unsupervised Multi-source Domain Adaptation Without Access to Source Data (CVPR '21 Oral)
  ☆58Updated 2 years ago
• NaJaeMin92 / pytorch-DANN
  PyTorch implementation of DANN (Domain-Adversarial Training of Neural Networks)
  ☆133Updated last year
• CHAOZHAO-1 / SDAGN
  [AEI 2024] Imbalanced domain generalization via Semantic-Discriminative augmentation for intelligent fault diagnosis
  ☆22Updated 10 months ago
• tasfia / DAMC
  Adversarial Network with Multiple Classifiers for Open Set Domain Adaptation
  ☆25Updated 4 years ago
• Luoyadan / SF-PGL
  This work is the official Pytorch implementation of our papers: Source-Free Progressive Graph Learning for Open-Set Domain Adaptation (T…
  ☆25Updated last year
• Claydon-Wang / OFTTA
  ☆17Updated last year
• donghao51 / SimMMDG
  [NeurIPS 2023] SimMMDG: A Simple and Effective Framework for Multi-modal Domain Generalization
  ☆61Updated last week