Baizhige / EEGResearchHubLinks
A trusted repository for groundbreaking EEG research code. Some peer-reviewed algorithms (such as EEG data augmentation techniques, EEG classification models) to push the boundaries of neuroscience.
☆26Updated last year
Alternatives and similar repositories for EEGResearchHub
Users that are interested in EEGResearchHub are comparing it to the libraries listed below
Sorting:
- [TAFFC-2022] PyTorch implementation of TSception v2☆123Updated last year
- code for LMDA☆81Updated 2 years ago
- ☆21Updated 2 years ago
- A template: for deep learning processing BCI-2A-Data, including loading data, preprocessing, training, testing, saving the best model, vi…☆21Updated last year
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆67Updated 2 years ago
- LibEER: A Comprehensive Benchmark and Algorithm Library for EEG-based Emotion Recognition☆82Updated last week
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆111Updated last year
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆47Updated 2 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☆27Updated 2 years ago
- Attention temporal convolutional network for EEG-based motor imagery classification☆268Updated 3 months ago
- This is the PyTorch implementation of the FBSTCNet-M architecture for EEG-based emotion classification.☆19Updated 7 months ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆53Updated 4 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆131Updated last year
- Pytorch implementation of EEGNet.☆46Updated 2 years ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆73Updated 3 years ago
- Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-based EEG Signals☆35Updated 2 months ago
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆38Updated last year
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆75Updated 3 years ago
- Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementat…☆57Updated 2 years ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆34Updated last year
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆93Updated 2 years ago
- ☆14Updated 4 years ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆74Updated 11 months ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆92Updated 2 years ago
- MMCNN: A Multi-branch Multi-scale Convolutional Neural Network for Motor Imagery Classification☆21Updated 5 years ago
- ☆84Updated 3 years ago
- A list of papers for motor imagery using machine learning/deep learning.☆79Updated 4 years ago
- Code for extracting DE (differential entropy) and PSD (power spectral density) feature of signals.☆81Updated 5 years ago
- ☆23Updated last year
- GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, da…☆164Updated 5 years ago