Henrywang621 / DL-based-MI-EEG-modelsLinks
This code repository collects the source code of the representative deep learning-based MI-EEG models and runs a leaderboard to fairly compare these models.
☆15Updated 8 months ago
Alternatives and similar repositories for DL-based-MI-EEG-models
Users that are interested in DL-based-MI-EEG-models are comparing it to the libraries listed below
Sorting:
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆83Updated last year
- ☆21Updated 2 years ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆54Updated 4 years ago
- Confronto fra cinque diversi modelli di machine learning per il riconoscimento delle emozioni usando rivelazioni EEG e movimento oculare …☆11Updated 2 years ago
- A list of papers for motor imagery using machine learning/deep learning.☆84Updated 4 years ago
- 运动想象分类模型---ATCNet,源代码融合了关于EEGNet,DeepConvNet,ShallowConvNet等多种典型模型作对比☆28Updated 2 years ago
- code for LMDA☆86Updated 2 years ago
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆31Updated 7 months ago
- Attention temporal convolutional network for EEG-based motor imagery classification☆302Updated last month
- Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-based EEG Signals☆36Updated 8 months ago
- CTNet: A Convolutional Transformer Network for EEG-Based Motor Imagery Classification☆331Updated last week
- A template: for deep learning processing BCI-2A-Data, including loading data, preprocessing, training, testing, saving the best model, vi…☆26Updated last year
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆91Updated 3 years ago
- Implementation of filter bank common spatial pattern (FBCSP) for MI-based BCI in python☆46Updated last year
- A Novel Brain-Computer Interfaces System Design Based on Combining of fNIRS and EEG Signals☆21Updated 4 years ago
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆53Updated 4 years ago
- A Lightweight and High Performance Neural network for MI-EEG decoding☆36Updated 9 months ago
- Preprocesamiento de BCI Competition IV data set 2a☆11Updated 5 years ago
- ☆39Updated last year
- ☆87Updated 4 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆81Updated 2 months ago
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆49Updated 3 years ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆97Updated 2 years ago
- 使用的pytorch编写的eegnet代码,方便现在进行调试☆28Updated 2 years ago
- Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing☆48Updated 2 years ago
- Using CNN-LSTM for emotion recognition based on EEG signals☆12Updated 2 years ago
- [IEEE JBHI 2025] DBConformer: Dual-Branch Convolutional Transformer for EEG Decoding☆33Updated 2 weeks ago
- Pytorch implementation of EEGNet.☆51Updated 3 years ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆39Updated 2 years ago
- [TAFFC-2022] PyTorch implementation of TSception v2☆147Updated 2 years ago