sabinechen / SPD-CNN-Using-Meta-Transfer-Learing-EEG-Cross-Subject-learningLinks
SPD-CNN: A Plain CNN-Based Model Using the Symmetric Positive Definite Matrices for Cross-Subject EEG Classification with Meta-Transfer-Learning
☆23Updated 3 years ago
Alternatives and similar repositories for SPD-CNN-Using-Meta-Transfer-Learing-EEG-Cross-Subject-learning
Users that are interested in SPD-CNN-Using-Meta-Transfer-Learing-EEG-Cross-Subject-learning are comparing it to the libraries listed below
Sorting:
- High-East / Attention-based-spatio-temporal-spectral-feature-learning-for-subject-specific-EEG-classificationOfficial code for "Attention-Based Spatio-Temporal-Spectral Feature Learning for Subject-Specific EEG Classification" paper☆37Updated 4 years ago
- META-EEG: Meta-learning-based Class-relevant EEG Representation Learning for Zero-calibration Brain-computer Interfaces☆24Updated last year
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆49Updated 3 years ago
- ☆69Updated 2 years ago
- Using GAN to create synthetic and partially synthetic EEG data to augment training sets for motor imagery interaction tasks☆13Updated 6 years ago
- Towards Domain Free Transformer for Generalized EEG Pre-training☆28Updated 8 months ago
- ☆17Updated last year
- This repository is the official implementation of “Different Set Domain Adaptation for Brain Computer Interfaces: A Label Alignment Appro…☆21Updated 4 years ago
- ☆43Updated 2 months ago
- IEEE Transactions on Emerging Topics in Computational Intelligence☆71Updated 8 months ago
- Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification☆44Updated 2 years ago
- ☆10Updated 4 years ago
- ☆29Updated last year
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆81Updated 2 months ago
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆41Updated 2 years ago
- The official implementation of our paper "MEET: A Multi-band EEG Transformer for Brain States Decoding"☆18Updated 3 years ago
- CNN-Former model with EEG-ME for SSVEP classification (TNSRE)☆14Updated last year
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆30Updated 5 years ago
- Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG …☆44Updated 5 months ago
- ☆22Updated 6 years ago
- code for LMDA☆86Updated 2 years ago
- ☆39Updated last year
- Support paper for Cross-Subject EEG Emotion Classification based on Few-Label Adversarial Domain Adaption☆28Updated 4 years ago
- Offical repository of the paper "EEG-DG:A Multi-Source Domain Generalization Framework for Motor Imagery EEG Classification" .☆28Updated 7 months ago
- A Lightweight and High Performance Neural network for MI-EEG decoding☆36Updated 9 months ago
- Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces (MEKT)☆47Updated 4 years ago
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆52Updated 4 years ago
- Temporal information enhanced EEGNet☆13Updated 2 years ago
- SOTA methods for performing emotion classification using Transformers.☆21Updated 3 years ago
- This is a community implementation of EEG-ConvTransformer☆17Updated 2 years ago