Nadavc220 / Domain-Adversarial-Training-of-Neural-Networks-pytorchLinks
This is a Pytorch implementation of the 2014 paper named Domain Adversarial Training of Neural Networks
☆10Updated 5 years ago
Alternatives and similar repositories for Domain-Adversarial-Training-of-Neural-Networks-pytorch
Users that are interested in Domain-Adversarial-Training-of-Neural-Networks-pytorch are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of DANN (Domain-Adversarial Training of Neural Networks)☆135Updated last year
- Implementation of DANN with pytorch☆51Updated 6 years ago
- Multiple Source Domain Adaptation with Adversarial Learning☆22Updated 5 years ago
- A Benchmark to Study Negative Transfer https://ieeexplore.ieee.org/document/9938381☆17Updated 2 years ago
- A PaddlePaddle implementation of 'Deep Subdomain Adaptation Network for Image Classification'☆18Updated 3 years ago
- Transfer learning for multi source EEG-emotion-classification☆14Updated 4 years ago
- Record my work in transfer learning during my postgraduate period.☆50Updated last year
- Official implementation of SWL-Adapt.☆14Updated 2 years ago
- Domain Adaptive Neural Networks with DJP-MMD☆19Updated 3 years ago
- Pytorch implementation of "Mutual Information-driven Subject-invariant and Class-relevant Deep Representation Learning in BCI"☆22Updated 3 years ago
- Self-supervised ECG Representation Learning - ICASSP 2020 and IEEE T-AFFC☆46Updated last month
- Code for UAI 2019 paper "Domain Generalization via Multidomain Discriminant Analysis"☆14Updated 5 years ago
- Source code for "Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data" (KDD 2020)☆56Updated 4 years ago
- A PyTorch implementation for Unsupervised Domain Adaptation by Backpropagation☆149Updated 4 years ago
- python 3 pytorch implementation of DANN☆543Updated 3 years ago
- TF2 implementation of a domain adversarial neural network☆12Updated 5 years ago
- A pytorch implementation of Maximum Mean Discrepancies(MMD) loss☆210Updated 3 years ago
- An implementation of DANN with pytorch☆213Updated 6 years ago
- ☆37Updated last year
- ☆14Updated last year
- implement Domain-Adversarial Training of Neural Networks☆60Updated 7 years ago
- Contrastive Learning for Domain Adaptation of Time Series☆89Updated last year
- Squeeze and Excitation network implementation.☆18Updated 6 years ago
- Audio MNIST Classification using 1D-CNN, 2D-CNN, GAN+2D-CNN, CVN+RandomForest, and LSTMs.☆14Updated 3 years ago
- Swin-Transformer 1D implements☆55Updated last year
- PyTorch implementations of several SOTA backbone deep neural networks (such as ResNet, ResNeXt, RegNet) on one-dimensional (1D) signal/ti…☆490Updated 3 years ago
- DANN in TensorFlow 2.0☆44Updated 3 years ago
- An implementation of Deep Adaptation Network with pytorch☆112Updated 7 years ago
- Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark…☆91Updated 3 years ago
- pytorch code of multi scale 1d resnet, we hope it will help your research☆221Updated 4 years ago