maryjis / eeg_depressionLinks
machine learning models for predicting depression based on EEG data
☆17Updated 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
Sorting:
- ☆29Updated 11 months ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆71Updated 3 years ago
- This repository contains the python scripts developed as a part of the work presented in the paper "STAnet: A Spatiotemporal Attention Ne…☆11Updated 2 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆67Updated last month
- A Graph Convolutional Network Approach for Depression Detection using EEG based Brain Networks☆22Updated 4 years ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆108Updated last year
- Package for bimodal training of deep neural networks on neurological data. Pypi: https://pypi.org/project/BiModNeuroCNN/☆12Updated 3 years ago
- ☆20Updated last year
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆57Updated last year
- code for LMDA☆80Updated last year
- [Sensors 2024] Mental State Recognition by Analyzing Multimodal EEG-fNIRS via CNN☆22Updated 11 months ago
- source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Indu…☆56Updated 2 years ago
- Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Grap…☆173Updated 2 years ago
- ☆12Updated 2 years ago
- EEG 脑电 数据集 DEAP SEED☆30Updated this week
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆66Updated 2 years ago
- ☆12Updated 3 years ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆72Updated 3 years ago
- The codes that I implemented during my B.Sc. project.☆22Updated 3 years ago
- [ACM MM 2023] Multimodal Adaptive Emotion Transformer with Flexible Modality Inputs on A Novel Dataset with Continuous Labels☆48Updated last week
- Using Capsule Network for EEG emotion classification using Digit-Caps model☆11Updated 2 years ago
- 使用的pytorch编写的eegnet代码，方便现在进行调试☆23Updated 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☆26Updated 2 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
- LibEER: A Comprehensive Benchmark and Algorithm Library for EEG-based Emotion Recognition☆76Updated last week
- ☆17Updated 3 months ago
- Pytorch implementation of EEGNet.☆46Updated 2 years ago
- An implementation of Denoising Diffusion Probabilistic Models (DDPM) in PyTorch for EEG-based image reconstruction.☆45Updated 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 …☆18Updated 2 years ago
- Official code repository for the paper 'EEGPT: Pretrained Transformer for Universal and Reliable Representation of EEG Signals' [NIPS 202…☆142Updated 7 months ago