Baizhige / EEGResearchHub
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.
☆25Updated 10 months ago
Alternatives and similar repositories for EEGResearchHub
Users that are interested in EEGResearchHub are comparing it to the libraries listed below
Sorting:
- A template: for deep learning processing BCI-2A-Data, including loading data, preprocessing, training, testing, saving the best model, vi…☆20Updated last year
- code for LMDA☆79Updated last year
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆66Updated 2 years ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆55Updated 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☆26Updated 2 years ago
- [TAFFC-2022] PyTorch implementation of TSception v2☆118Updated 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
- LibEER: A Comprehensive Benchmark and Algorithm Library for EEG-based Emotion Recognition☆70Updated 5 months ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆32Updated last year
- ☆24Updated 2 years ago
- ☆20Updated last year
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆106Updated last year
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆69Updated 2 years ago
- Pytorch implementation of EEGNet.☆45Updated 2 years ago
- Preprocesamiento de BCI Competition IV data set 2a☆11Updated 4 years ago
- ☆22Updated last year
- This is the PyTorch implementation of the FBSTCNet-M architecture for EEG-based emotion classification.☆18Updated 4 months ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆129Updated last year
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆72Updated 3 years ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆71Updated 9 months ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆57Updated last year
- A Novel Brain-Computer Interfaces System Design Based on Combining of fNIRS and EEG Signals☆18Updated 4 years ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆92Updated last year
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆66Updated 2 weeks ago
- This is just a simple code of how to process EEG data when I learn motor imagination, just for reference.At the same time, it also contai…☆15Updated 6 months ago
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆38Updated last year
- Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing☆43Updated last year
- A list of papers for motor imagery using machine learning/deep learning.☆77Updated 4 years ago
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆106Updated 2 years ago
- Motor execution (ME)/motor imagery (MI) cross-task adaptive transfer learning algorithm for MI EEG decoding☆15Updated last year