s4rduk4r / eegnet_pytorch
EEGNet implementation in PyTorch
☆19Updated 3 years ago
Alternatives and similar repositories for eegnet_pytorch:
Users that are interested in eegnet_pytorch are comparing it to the libraries listed below
- ☆29Updated 8 months ago
- code for LMDA☆70Updated last year
- EEG 脑电 数据集 DEAP SEED☆15Updated 4 months ago
- ☆67Updated 2 months ago
- official implementation of the PR-PL model (arxiv:https://arxiv.org/abs/2202.06509)☆39Updated 6 months ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆74Updated last year
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆62Updated 5 months ago
- ACM MM 2023☆39Updated 3 months ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆60Updated last month
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆121Updated last year
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆95Updated last year
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆27Updated 4 months ago
- This is the pytorch implementation of EmT, a graph-transformer for EEG emotion recognition.☆24Updated 2 months ago
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆35Updated last year
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆30Updated last year
- ☆19Updated 2 months ago
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆93Updated last year
- [ICLR 2024] M/EEG-based image decoding with contrastive learning. i. Propose a contrastive learning framework to align image and eeg. ii.…☆121Updated last month
- ☆14Updated 5 months ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆47Updated 9 months ago
- Pytorch implementation of EEGNet.☆44Updated 2 years ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆66Updated 2 years ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆40Updated 2 months ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆65Updated 2 years ago
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆16Updated 4 months ago
- This repository is the official implementation of “Transfer learning for brain-computer interfaces: A Euclidean space data alignment appr…☆21Updated 3 years ago
- ☆12Updated last year
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆47Updated 3 years ago
- Official implementation of 'Adapting to Inter-Subject Variability in EEG-Based Motor Imagery Classification with Meta-Learning' (ICLR 202…☆13Updated last year
- A list of papers for motor imagery using machine learning/deep learning.☆65Updated 3 years ago