maryjis / eeg_depression
machine learning models for predicting depression based on EEG data
☆15Updated 2 years ago
Alternatives and similar repositories for eeg_depression:
Users that are interested in eeg_depression are comparing it to the libraries listed below
- Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Grap…☆170Updated 2 years ago
- Pytorch implementation of EEGNet.☆45Updated 2 years ago
- ☆25Updated 9 months ago
- Attention temporal convolutional network for EEG-based motor imagery classification☆237Updated last week
- ☆77Updated 3 years ago
- Package for bimodal training of deep neural networks on neurological data. Pypi: https://pypi.org/project/BiModNeuroCNN/☆12Updated 3 years ago
- 使用的pytorch编写的eegnet代码，方便现在进行调试☆21Updated last year
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆65Updated 2 years ago
- Source code for the paper: Sun, Biao, et al. "Graph Convolution Neural Network based End-to-end Channel Selection and Classification for …☆17Updated 2 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆65Updated 3 weeks ago
- code for LMDA☆78Updated last year
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆42Updated 4 months ago
- Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing☆40Updated last year
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆69Updated 8 months ago
- ☆160Updated 2 years ago
- Deep Learning pipeline for motor-imagery classification.☆59Updated 3 years ago
- ☆10Updated 3 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆124Updated last year
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆70Updated 2 years ago
- A list of papers for motor imagery using machine learning/deep learning.☆67Updated 4 years ago
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆103Updated last year
- ☆79Updated 4 months ago
- GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, da…☆158Updated 5 years ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆104Updated last year
- Emotion Recogniton LSTM RNN Arousal Valence☆47Updated 2 years ago
- A Novel Brain-Computer Interfaces System Design Based on Combining of fNIRS and EEG Signals☆18Updated 4 years ago
- [Sensors 2024] Mental State Recognition by Analyzing Multimodal EEG-fNIRS via CNN☆19Updated 9 months ago
- EEG-based emotion classification using DEAP dataset☆131Updated 2 years 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…☆16Updated 4 months ago
- A template: for deep learning processing BCI-2A-Data, including loading data, preprocessing, training, testing, saving the best model, vi…☆19Updated 11 months ago