Want2Vanish / FBMSNetLinks
This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.
☆39Updated last year
Alternatives and similar repositories for FBMSNet
Users that are interested in FBMSNet are comparing it to the libraries listed below
Sorting:
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆133Updated last year
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆72Updated 3 months ago
- code for LMDA☆82Updated 2 years ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆93Updated 2 years ago
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆25Updated 2 months ago
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆50Updated 4 years ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆46Updated 2 years ago
- ☆38Updated last week
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆76Updated 3 years ago
- ☆37Updated last year
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆93Updated 2 years ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆63Updated last year
- Seeking to recreate the work demonstrated in A Multi-Branch 3D Convolutional Neural Network for EEG-Based Motor Imagery Classification by…☆18Updated 4 years ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆75Updated last year
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆73Updated 3 years ago
- Pytorch implementation of EEGNet.☆46Updated 2 years ago
- IEEE Transactions on Emerging Topics in Computational Intelligence☆66Updated 3 months ago
- Motor execution (ME)/motor imagery (MI) cross-task adaptive transfer learning algorithm for MI EEG decoding☆16Updated last year
- Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing☆45Updated last year
- A Lightweight and High Performance Neural network for MI-EEG decoding☆28Updated 4 months ago
- ☆12Updated 2 years ago
- ☆21Updated 2 years ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆53Updated 4 years ago
- ☆24Updated 3 years ago
- A list of papers for motor imagery using machine learning/deep learning.☆79Updated 4 years ago
- Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-based EEG Signals☆36Updated 3 months ago
- ☆25Updated 8 months ago
- official implementation of the PR-PL model (arxiv:https://arxiv.org/abs/2202.06509)☆40Updated last year
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆40Updated 6 years ago
- GGN model for seizure classification (datasets: TUH EEG seizure TUSZ 1.5.2)☆60Updated last year