hancan16 / SST-DPN
A Lightweight and High Performance Neural network for MI-EEG decoding
☆20Updated 2 weeks ago
Alternatives and similar repositories for SST-DPN:
Users that are interested in SST-DPN are comparing it to the libraries listed below
- Motor execution (ME)/motor imagery (MI) cross-task adaptive transfer learning algorithm for MI EEG decoding☆14Updated last year
- ☆17Updated last year
- The official code implementation for "DMMR: Cross-Subject Domain Generalization for EEG-Based Emotion Recognition via Denoising Mixed Mut…☆40Updated 10 months ago
- ☆21Updated last year
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆37Updated last year
- ☆32Updated 10 months ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆65Updated 2 weeks ago
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆48Updated 3 years ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆42Updated 2 years ago
- code for LMDA☆78Updated last year
- META-EEG: Meta-learning-based Class-relevant EEG Representation Learning for Zero-calibration Brain-computer Interfaces☆16Updated 8 months ago
- ☆35Updated last month
- ☆13Updated 2 years ago
- official implementation of the PR-PL model (arxiv:https://arxiv.org/abs/2202.06509)☆39Updated 9 months ago
- ☆22Updated 3 months ago
- ☆13Updated last year
- Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-based EEG Signals☆33Updated 2 years ago
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆23Updated 6 months ago
- ☆11Updated last year
- ☆30Updated last year
- Deep Learning pipeline for motor-imagery classification.☆59Updated 3 years ago
- The codes that I implemented during my B.Sc. project.☆22Updated 3 years ago
- [TAFFC-2022] PyTorch implementation of TSception v2☆112Updated last year
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆69Updated 8 months ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆55Updated 11 months ago
- ☆23Updated last year
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆70Updated 2 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction