Alternatives and similar repositories for DANN

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

• yogeshbalaji / Generate_To_Adapt
  Implementation of "Generate To Adapt: Aligning Domains using Generative Adversarial Networks"
  ☆142Updated 6 years ago
• xiangjjj / implicit_alignment
  Code for ICML2020 "Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation"
  ☆91Updated 4 years ago
• RuiShu / dirt-t
  A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)
  ☆176Updated 7 years ago
• mil-tokyo / adr_da
  ☆34Updated 7 years ago
• 11-626 / Deep-INFOMAX
  This is a pytorch implementation of Deep-INFOMAX.
  ☆35Updated 5 years ago
• Alexander-H-Liu / UFDN
  A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation
  ☆140Updated 6 years ago
• Mid-Push / Moving-Semantic-Transfer-Network
  Tensorflow codes for ICML2018, Learning Semantic Representations for Unsupervised Domain Adaptation
  ☆110Updated 7 years ago
• VisionLearningGroup / visda-2019-public
  ☆58Updated last year
• 9310gaurav / virtual-adversarial-training
  Pytorch implementation of Virtual Adversarial Training
  ☆134Updated 6 years ago
• yuyingyeh / Domain-Adaptation-paper-list
  Domain Adaptation paper in various applications
  ☆22Updated 5 years ago
• Britefury / self-ensemble-visual-domain-adapt
  Code repository for the small image experiments our paper 'Self-ensembling for Domain Adaptation'
  ☆194Updated 6 years ago
• benathi / fastswa-semi-sup
  Improving Consistency-Based Semi-Supervised Learning with Weight Averaging
  ☆186Updated 6 years ago
• postBG / DTA.pytorch
  Official implementation of Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation presented at ICCV 2019.
  ☆163Updated last year
• LiJunnan1992 / MLNT
  Meta-Learning based Noise-Tolerant Training
  ☆126Updated 5 years ago
• ChrisAllenMing / Mixup_for_UDA
  Implementation of Adversarial Domain Adaptation with Domain Mixup (AAAI 2020 Oral).
  ☆163Updated 5 years ago
• qinenergy / adanet
  [ICCV 2019 oral] Code for Semi-Supervised Learning by Augmented Distribution Alignment
  ☆62Updated 3 years ago
• thuml / Transferable-Adversarial-Training
  Code release for Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers (ICML2019)
  ☆81Updated 6 years ago
• thuml / PADA
  Code release for "Partial Adversarial Domain Adaptation" (ECCV 2018)
  ☆102Updated 6 years ago
• VisionLearningGroup / DAL
  Domain agnostic learning with disentangled representations
  ☆147Updated 5 years ago
• ricvolpi / generalize-unseen-domains
  Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018
  ☆121Updated 5 years ago
• aws-samples / d-SNE
  Implementation of our proposed algorithm in domain adaptation for image classification
  ☆67Updated 5 years ago
• VisionLearningGroup / taskcv-2017-public
  ☆172Updated 2 years ago
• Newbeeer / L_DMI
  Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"
  ☆119Updated 2 years ago
• kevinlyu / Wasserstein-Adversarial-Domain-Adaptation
  Wasserstein Based Domain Adaptation Model
  ☆46Updated 6 years ago
• Raymond-sci / AND
  Official Pytorch Implementation for ICML'19 paper: Unsupervised Deep Learning by Neighbourhood Discovery
  ☆156Updated 6 years ago
• pmorerio / minimal-entropy-correlation-alignment
  Code for the paper "Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation", ICLR 2018
  ☆63Updated 5 years ago
• SSARCandy / DeepCORAL
  🧠 A PyTorch implementation of 'Deep CORAL: Correlation Alignment for Deep Domain Adaptation.', ECCV 2016
  ☆232Updated 4 years ago
• roysubhankar / dwt-domain-adaptation
  Code for paper "Unsupervised Domain Adaptation using Feature-Whitening and Consensus Loss" (CVPR 2019)
  ☆64Updated 4 years ago
• yogeshbalaji / Meta-Learning-Domain-Generalization
  ☆30Updated 7 years ago
• ricvolpi / adversarial-feature-augmentation
  Code for the paper "Adversarial Feature Augmentation for Unsupervised Domain Adaptation", CVPR 2018
  ☆130Updated 6 years ago