Alternatives and similar repositories for JDOT:

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

• bbdamodaran / deepJDOT
  Implementation of DeepJDOT in Keras
  ☆61Updated 5 years ago
• AMLab-Amsterdam / DIVA
  Implementation of 'DIVA: Domain Invariant Variational Autoencoders'
  ☆100Updated 5 years ago
• thuml / Deep-Embedded-Validation
  Code release for Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation (ICML 2019)
  ☆63Updated 5 years ago
• ricvolpi / generalize-unseen-domains
  Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018
  ☆121Updated 4 years ago
• VisionLearningGroup / CORAL
  Correlation Alignment for Domain Adaptation
  ☆200Updated 8 years ago
• wzell / mann
  Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)
  ☆60Updated last year
• RuiShu / dirt-t
  A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)
  ☆175Updated 6 years ago
• kevinlyu / Wasserstein-Adversarial-Domain-Adaptation
  Wasserstein Based Domain Adaptation Model
  ☆46Updated 6 years ago
• thuml / MDD
  Code released for ICML 2019 paper "Bridging Theory and Algorithm for Domain Adaptation".
  ☆134Updated 5 years ago
• thuml / Batch-Spectral-Penalization
  Code release for Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation (ICML 2019)
  ☆93Updated 5 years ago
• krumo / swd_pytorch
  An unofficial PyTorch implementation for CVPR 2019 work "Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation"
  ☆42Updated 5 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 4 years ago
• GiulsLu / OT-gradients
  ☆12Updated 6 years ago
• mikigom / large-scale-OT-mapping-TF
  Tensorflow Implementation of "Large-scale Optimal Transport and Mapping Estimation"(ICLR2018/NIPS 2017 OTML)
  ☆19Updated 6 years ago
• LavieLuo / DRMEA
  Pytorch code for “Unsupervised Domain Adaptation via Discriminative Manifold Embedding and Alignment ” (DRMEA) (AAAI 2020).
  ☆30Updated 4 years ago
• hellowangqian / domain-adaptation-capls
  Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling
  ☆58Updated 3 years ago
• richardwth / MMD-GAN
  Improving MMD-GAN training with repulsive loss function
  ☆89Updated 2 years ago
• ghif / mtae
  ☆21Updated 9 years ago
• eifuentes / swae-pytorch
  Implementation of the Sliced Wasserstein Autoencoder using PyTorch
  ☆101Updated 6 years ago
• vodp / py-kmm
  A Python implementation of Kernel Mean Matching data reweighting algorithm
  ☆33Updated 9 years ago
• yogeshbalaji / Meta-Learning-Domain-Generalization
  ☆29Updated 6 years ago
• hanzhaoml / MDAN
  Demo code for the MDAN paper.
  ☆122Updated 5 years ago
• hellojing89 / weightedGANpartialDA
  ☆16Updated 6 years ago
• 1Konny / WAE-pytorch
  ☆68Updated 5 years ago
• domainadaptation / salad
  A toolbox for domain adaptation and semi-supervised learning. Contributions welcome.
  ☆336Updated 3 years ago
• tvayer / SGW
  Code for Sliced Gromov-Wasserstein
  ☆67Updated 5 years ago
• vihari / CSD
  Implementation and datasets for Efficient Domain Generalization via Common-Specific Low-Rank Decomposition (https://arxiv.org/abs/2003.12…
  ☆51Updated 4 years ago
• stanford-futuredata / sinkhorn-label-allocation
  Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…
  ☆53Updated 3 years ago
• thuml / Transferable-Adversarial-Training
  Code release for Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers (ICML2019)
  ☆81Updated 5 years ago
• thuml / PADA
  Code release for "Partial Adversarial Domain Adaptation" (ECCV 2018)
  ☆100Updated 6 years ago