ICLab4DL / GGN
GGN model for seizure classification (datasets: TUH EEG seizure TUSZ 1.5.2)
☆46Updated last year
Alternatives and similar repositories for GGN:
Users that are interested in GGN are comparing it to the libraries listed below
- code for LMDA☆70Updated last year
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆35Updated last year
- ☆12Updated last year
- ☆16Updated last year
- Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.☆51Updated 3 years ago
- ☆68Updated 3 months ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆41Updated 2 years ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆77Updated last year
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆60Updated 2 months ago
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆47Updated 3 years ago
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆18Updated 5 months ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆29Updated last year
- Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing☆37Updated last year
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆40Updated 2 months ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆49Updated 9 months ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆67Updated 2 years ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆26Updated 4 months ago
- A template: for deep learning processing BCI-2A-Data, including loading data, preprocessing, training, testing, saving the best model, vi…☆14Updated 9 months ago
- Preprocesamiento de BCI Competition IV data set 2a☆11Updated 4 years ago
- official implementation of the PR-PL model (arxiv：https://arxiv.org/abs/2202.06509)☆39Updated 7 months ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆66Updated 2 years ago
- Seeking to recreate the work demonstrated in A Multi-Branch 3D Convolutional Neural Network for EEG-Based Motor Imagery Classification by …☆18Updated 3 years ago
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆95Updated last year
- EEG motor imagery classification using convolutional neural networks☆35Updated last year
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆81Updated 2 years ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆51Updated 3 years ago
- ☆29Updated 8 months ago
- ☆28Updated 6 months ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆98Updated last year