Deep domain adaptation networks (DDAN) library for Python with TensorFlow.
☆76Sep 9, 2019Updated 6 years ago
Alternatives and similar repositories for ddan
Users that are interested in ddan are comparing it to the libraries listed below
Sorting:
- Keras implementation of Domain-Adversarial Training of Neural Networks (DANN)☆12Jan 20, 2023Updated 3 years ago
- A simple implementation of domain adversarial training with GAN loss in Keras☆58May 31, 2018Updated 7 years ago
- Tensorflow deep learning based domain adaptation model implementations with experiment of estimate MNIST by SVHN data (SVHN -> MNIST): DA…☆26Apr 14, 2019Updated 6 years ago
- An implementation of Deep Adaptation Network with pytorch☆115Jun 18, 2018Updated 7 years ago
- A collection of implementations of deep domain adaptation algorithms☆956Mar 3, 2022Updated 4 years ago
- A simple implementation of Deep Domain Confusion: Maximizing for Domain Invariance☆162Dec 1, 2018Updated 7 years ago
- An implementation of DANN with pytorch☆216Jan 9, 2019Updated 7 years ago
- A PyTorch implementation for Asymmetric Tri-training for Unsupervised Domain Adaptation☆45Sep 5, 2017Updated 8 years ago
- An implementation of DecorrelatedBN by tensorflow☆13Jun 30, 2022Updated 3 years ago
- Code release for Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers (ICML2019)☆81May 12, 2019Updated 6 years ago
- VGG transfer learning and Class Activation Mapping☆14Apr 6, 2019Updated 6 years ago
- Interspeech Tutorial - Resource Efficient and Cross-Modal Learning Toward Foundation Modeling☆15Oct 9, 2023Updated 2 years ago
- Official implementation of Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation presented at ICCV 2019.☆163Oct 3, 2023Updated 2 years ago
- ☆15Jun 19, 2018Updated 7 years ago
- Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark…☆94Sep 29, 2021Updated 4 years ago
- Adversarial Discriminative Domain Adaptation with MNIST 64x64 in Lasagne-Theano☆33Apr 2, 2017Updated 8 years ago
- Domain Adaptation Representation Learning Algorithm (as published in JMLR 2016)☆141Nov 10, 2017Updated 8 years ago
- Code for "Margin-aware Adversarial Domain Adaptation with Optimal Transport" paper☆16Jan 31, 2022Updated 4 years ago
- Pytorch ImageNet training codes with various tricks, lr schedulers, distributed training, mixed precision training, DALI dataloader etc.☆18Aug 12, 2020Updated 5 years ago
- Official implementation of https://arxiv.org/abs/1911.06256. Bayesian and frequentist deep learning models for remaining useful life (RUL…☆21Nov 15, 2019Updated 6 years ago
- 这是论文Unsupervised Domain Adaptation by Backpropagation的复现tf2代码,并完成了MNIST与MNIST-M数据集之间的迁移训练☆20Aug 1, 2021Updated 4 years ago
- A PyTorch implementation for Adversarial Discriminative Domain Adaptation.☆15Dec 5, 2018Updated 7 years ago
- PyTorch reimplementation of Moving Semantic Transfer Network☆37Feb 15, 2019Updated 7 years ago
- Paper list of Semantic Segmentation in CVPR 2018.☆17May 30, 2018Updated 7 years ago
- Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)☆413Aug 25, 2021Updated 4 years ago
- A toolbox for domain adaptation and semi-supervised learning. Contributions welcome.☆339May 15, 2021Updated 4 years ago
- Domain-Adversarial Neural Network in Tensorflow☆633Dec 5, 2021Updated 4 years ago
- A PaddlePaddle implementation of 'Deep Subdomain Adaptation Network for Image Classification'☆23Oct 23, 2021Updated 4 years ago
- Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation(AAAI-2019)☆84Jan 3, 2020Updated 6 years ago
- TE data diagnosis using pytorch☆20Mar 18, 2019Updated 6 years ago
- Code release for Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering (CVPR2020-Oral).☆82Apr 20, 2022Updated 3 years ago
- self-supervised domain adaptation☆48Dec 17, 2019Updated 6 years ago
- ☆19Aug 15, 2019Updated 6 years ago
- Wasserstein Based Domain Adaptation Model☆46Jan 2, 2019Updated 7 years ago
- This is the repository to reproduce the experiments of the IJCAI 2020 paper "Metric Learning in Optimal Transport for Domain Adaptation"☆23Jun 9, 2020Updated 5 years ago
- Tutorial for Clustering mixed data types☆10Jan 25, 2021Updated 5 years ago
- Gaussian Process Random Fields☆22Oct 28, 2015Updated 10 years ago
- ☆41Nov 27, 2025Updated 3 months ago
- Open set domain adaptation☆88Oct 20, 2019Updated 6 years ago