cht619 / MADA
Implementation of Multi-Adversarial Domain Adaptation (https://arxiv.org/abs/1809.02176) in Pytorch
☆16Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for MADA
- ☆14Updated 2 years ago
- Domain Adaptive Neural Networks with DJP-MMD☆18Updated 3 years ago
- Conditional Contrastive Domain Generalization For Fault Diagnosis☆31Updated last year
- Code for Adversarial Reweighting for Partial Domain Adaptation (NeurIPS 2021)☆32Updated last year
- A PaddlePaddle implementation of 'Deep Subdomain Adaptation Network for Image Classification'☆18Updated 3 years ago
- Paper code for An Iterative Resampling Deep Decoupling Domain Adaptation Method for Class-imbalance Bearing Fault Diagnosis Under Variant…☆15Updated last year
- Pytorch implementation of the paper: "Conditional Adversarial Domain Generalization With a Single Discriminator for Bearing Fault Diagnos…☆29Updated 2 years ago
- Adversarial Network with Multiple Classifiers for Open Set Domain Adaptation☆22Updated 3 years ago
- Code release for Universal Multi-Source Domain Adaptation for Image Classification (Pattern Recognition)☆13Updated 2 years ago
- Empirical evaluation and analysis of state-of-the-art methods for unsupervised domain adaptation on OFFICE-31 dataset, a benchmark datase…☆12Updated last year
- Record my work in transfer learning during my postgraduate period.☆46Updated 6 months ago
- The PyTorch implementation of DANN (Domain-Adversarial Training of Neural Networks).☆9Updated 11 months ago
- This project is the official implementation of ``Self-Supervised Graph Neural Network for Multi-Source Domain Adaptation'' in PyTorch, wh…☆12Updated 2 years ago
- Demo code release for TPTLN: Combining the theoretical bound and deep adversarial network for machinery open-set diagnosis transfer☆31Updated last year
- [AEI 2024] Imbalanced domain generalization via Semantic-Discriminative augmentation for intelligent fault diagnosis☆17Updated 4 months ago
- Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark…☆81Updated 3 years ago
- Unsupervised Multi-source Domain Adaptation Without Access to Source Data (CVPR '21 Oral)☆54Updated 2 years ago
- Repository containing the code for the experiments and examples of my Bachelor Thesis: Cross Domain Fault Detection through Optimal Trans…☆21Updated last year
- Multi-Adversarial Domain Adaptation (https://arxiv.org/abs/1809.02176) implementation in Pytorch-Lightning☆18Updated 3 years ago
- The implementation of Multiplication Convolutional Networks (MCN) in Pytorch.☆17Updated 6 months ago
- The code of Interpretable Convolutional Neural Network with Multilayer Wavelet for Noise-Robust Machinery Fault Diagnosis☆38Updated 2 years ago
- Open set domain adaptation code DAOD☆24Updated 3 years ago
- ☆20Updated 2 weeks ago
- Maximum mean square discrepancy: A new discrepancy representation metric for mechanical fault transfer diagnosis☆25Updated last year
- Code and data for our paper on IEEE-TIE: Integrating Expert Knowledge with Domain Adaptation for Unsupervised Fault Diagnosis☆38Updated 2 years ago
- This is an implementation of single source multiple target domain adaptation for fault diagnosis☆42Updated 2 years ago
- ☆15Updated last year
- Implementation of "Dual Mixup Regularized Learning for Adversarial Domain Adaptation" in Pytorch☆12Updated 3 years ago
- ☆10Updated 7 months ago
- Master Thesis: Intelligent Ball Screw Fault Diagnosis Using Deep Learning Based Domain Adaptation and Transfer Learning☆30Updated last year