A simple implementation of Deep Domain Confusion: Maximizing for Domain Invariance
☆162Dec 1, 2018Updated 7 years ago
Alternatives and similar repositories for DDC-transfer-learning
Users that are interested in DDC-transfer-learning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A collection of implementations of deep domain adaptation algorithms☆960Mar 3, 2022Updated 4 years ago
- Domain Adaptive Neural Networks with DJP-MMD☆20Sep 22, 2021Updated 4 years ago
- Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark…☆95Sep 29, 2021Updated 4 years ago
- "Unified Deep Supervised Domain Adaptation and Generalization" (ICCV 2017)☆106Feb 24, 2020Updated 6 years ago
- Deep domain adaptation networks (DDAN) library for Python with TensorFlow.☆77Sep 9, 2019Updated 6 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- An implementation of Deep Adaptation Network with pytorch☆115Jun 18, 2018Updated 7 years ago
- The re-implement of NIPS 2018 paper: Conditional Adversarial Domain Adaptation☆22Oct 25, 2018Updated 7 years ago
- Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation（AAAI-2019）☆83Jan 3, 2020Updated 6 years ago
- Open set domain adaptation☆87Oct 20, 2019Updated 6 years ago
- Code release for "Partial Adversarial Domain Adaptation" (ECCV 2018)☆102Oct 29, 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 7 years ago
- ☆577Oct 7, 2022Updated 3 years ago
- A PyTorch implementation for Adversarial Discriminative Domain Adaptation☆497Apr 12, 2022Updated 4 years ago
- 🧠 A PyTorch implementation of 'Deep CORAL: Correlation Alignment for Deep Domain Adaptation.', ECCV 2016☆238Apr 22, 2021Updated 5 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Unfinished Work: Implementation of Multi-Adversarial Domain Adaptation (https://arxiv.org/abs/1809.02176) in Pytorch☆16Dec 6, 2019Updated 6 years ago
- Implementation of Adversarial Domain Adaptation with Domain Mixup (AAAI 2020 Oral).☆164Jun 9, 2020Updated 5 years ago
- A PyTorch implementation for Asymmetric Tri-training for Unsupervised Domain Adaptation☆45Sep 5, 2017Updated 8 years ago
- Transfer Learning Library☆463Apr 9, 2021Updated 5 years ago
- Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)☆415Aug 25, 2021Updated 4 years ago
- The official project for CVPR19 paper: Domain-Symmetric Networks for Adversarial Domain Adaptation☆84Mar 29, 2021Updated 5 years ago
- This is a github repository for Adversarial transfer learning with constrastive coding for time series regression problem.☆53Jan 13, 2022Updated 4 years ago
- 用Tensorflow实现深度学习模型和迁移学习模型☆16Feb 21, 2020Updated 6 years ago
- PyTorch reimplementation of Moving Semantic Transfer Network☆37Feb 15, 2019Updated 7 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Code for <Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training> in ECCV18☆190Nov 12, 2019Updated 6 years ago
- pytorch implementation of Domain-Adversarial Training of Neural Networks☆945Jul 26, 2019Updated 6 years ago
- ☆49Apr 12, 2021Updated 5 years ago
- Cycle-consistent Conditional Adversarial Transfer Networks, ACM MM 2019☆33Sep 18, 2019Updated 6 years ago
- Code refactoring for paper "Domain Generalization with Adversarial Feature Learning" in VLCS datasets.☆57Dec 24, 2019Updated 6 years ago
- Code release for "Partial Transfer Learning with Selective Adversarial Networks" (CVPR 2018)☆69Jul 18, 2018Updated 7 years ago
- ☆23Jul 16, 2018Updated 7 years ago
- ☆10Jan 8, 2020Updated 6 years ago
- Domain Adaptation via Transfer Component Analysis☆16Nov 7, 2025Updated 6 months ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Self-Supervised Domain Adaptation with Consistency Training☆20Oct 28, 2020Updated 5 years ago
- Domain-Adversarial Neural Network in Tensorflow☆37Nov 28, 2018Updated 7 years ago
- Implemenation of Asymmetric-TriTraining by Tensorflow☆26Apr 24, 2018Updated 8 years ago
- PyTorch implementation of https://arxiv.org/abs/1711.02536☆12Jan 11, 2018Updated 8 years ago
- Unsupervised domain adaptation with unified joint distribution alignment☆18Jul 1, 2025Updated 10 months ago
- Code release for Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation (ICML 2019)☆92Jul 23, 2019Updated 6 years ago
- Code release for Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation (ICML 2019)☆64May 14, 2019Updated 7 years ago