Want2Vanish / FBMSNetLinks
This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.
☆41Updated 2 years ago
Alternatives and similar repositories for FBMSNet
Users that are interested in FBMSNet are comparing it to the libraries listed below
Sorting:
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆82Updated 3 weeks ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆145Updated 2 years ago
- code for LMDA☆87Updated 2 years ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆100Updated 3 years ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆49Updated 3 years ago
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆31Updated 8 months ago
- Pytorch implementation of EEGNet.☆52Updated 3 years ago
- Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing☆48Updated 2 years ago
- IEEE Transactions on Emerging Topics in Computational Intelligence☆72Updated 9 months ago
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆54Updated 4 years ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆100Updated 2 years ago
- DDGCNN for ssvep☆15Updated 2 years ago
- A list of papers for motor imagery using machine learning/deep learning.☆84Updated 4 years ago
- ☆41Updated last year
- ☆92Updated 4 years ago
- 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
- ☆21Updated 2 years ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆55Updated 4 years ago
- ☆29Updated last year
- Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-based EEG Signals☆36Updated 9 months ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆83Updated 3 years ago
- ☆48Updated 4 months ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆127Updated 2 years ago
- ☆24Updated 4 years ago
- GGN model for seizure classification (datasets: TUH EEG seizure TUSZ 1.5.2)☆66Updated 2 years ago
- ☆11Updated 3 years ago
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆92Updated 3 years ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆75Updated last year
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆51Updated last year
- ☆15Updated 4 years ago