jvanvugt / pytorch-domain-adaptationLinks
A collection of implementations of adversarial domain adaptation algorithms
☆637Updated 4 years ago
Alternatives and similar repositories for pytorch-domain-adaptation
Users that are interested in pytorch-domain-adaptation are comparing it to the libraries listed below
Sorting:
- pytorch implementation of Domain-Adversarial Training of Neural Networks☆925Updated 6 years ago
- A PyTorch implementation for Adversarial Discriminative Domain Adaptation☆491Updated 3 years ago
- Unsupervised Domain Adaptation Papers and Code☆768Updated 4 years ago
- python 3 pytorch implementation of DANN☆568Updated 3 years ago
- An implementation of DANN with pytorch☆215Updated 6 years ago
- Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)☆407Updated 4 years ago
- All about domain generalization☆842Updated 9 months ago
- ☆576Updated 3 years ago
- pytorch implementation for Contrastive Adaptation Network☆342Updated 5 years ago
- A PyTorch implementation for Unsupervised Domain Adaptation by Backpropagation☆151Updated 5 years ago
- A collection of implementations of deep domain adaptation algorithms☆949Updated 3 years ago
- Code release for Universal Domain Adaptation(CVPR 2019)☆281Updated 2 years ago
- Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"☆653Updated 2 years ago
- 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
- Pytorch implementation of Domain Separation Networks☆154Updated 6 years ago
- A toolbox for domain adaptation and semi-supervised learning. Contributions welcome.☆339Updated 4 years ago
- A pytorch implementation of Maximum Mean Discrepancies(MMD) loss☆213Updated 3 years ago
- implement Domain-Adversarial Training of Neural Networks☆60Updated 7 years ago
- Demo code for the MDAN paper.☆126Updated 5 years ago
- Semi-supervised Domain Adaptation via Minimax Entropy☆308Updated 2 years ago
- Virtual Adversarial Training (VAT) implementation for PyTorch☆296Updated 6 years ago
- source code to ICLR'19, 'A Closer Look at Few-shot Classification'☆1,152Updated 3 years ago
- A re-implementation of "Prototypical Networks for Few-shot Learning"☆328Updated 5 years ago
- ☆187Updated 3 months ago
- Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning☆573Updated 5 years ago
- A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"☆569Updated 5 years ago
- Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021☆650Updated 4 years ago
- [NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss☆693Updated 3 years ago
- PseudoLabel 2013, VAT, PI model, Tempens, MeanTeacher, ICT, MixMatch, FixMatch☆452Updated 2 years ago
- Code for reproducing Manifold Mixup results (ICML 2019)☆495Updated last year