al17056SK000 / EEG-Transformer
i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG, ECG, etc. ii. Common spatial pattern (CSP), an efficient feature enhancement method, realized with Python.
☆18Updated 3 years ago
Alternatives and similar repositories for EEG-Transformer:
Users that are interested in EEG-Transformer are comparing it to the libraries listed below
- code for LMDA☆70Updated last year
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆48Updated 2 years ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆30Updated last year
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆51Updated 3 years ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆62Updated 5 months ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆74Updated last year
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆16Updated 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
- A list of papers for motor imagery using machine learning/deep learning.☆65Updated 3 years ago
- [TAFFC-2022] PyTorch implementation of TSception v2☆98Updated last year
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆66Updated 2 years ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆58Updated last year
- 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☆24Updated last year
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆67Updated 3 years ago
- ☆29Updated 8 months ago
- EEG Motor Imagery Classification Using CNN, Transformer, and MLP☆23Updated 10 months ago
- ☆13Updated 3 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆121Updated last year
- ☆19Updated 2 months ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆89Updated 2 years ago
- ☆31Updated last year
- DL model estimating vigilance levels using multimodal EEG and EOG☆26Updated 2 years ago
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆50Updated 2 years ago
- Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-based EEG Signals☆32Updated 2 years ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆27Updated 4 months ago
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆93Updated last year
- The codes that I implemented during my B.Sc. project.☆22Updated 2 years ago
- Deep Learning pipeline for motor-imagery classification.☆59Updated 3 years ago
- official implementation of the PR-PL model (arxiv：https://arxiv.org/abs/2202.06509)☆39Updated 6 months ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆65Updated 2 years ago