James-Mc1ntyre / DeepLearningProject
Using Deep Learning techniques to classify Motor Imagery Electroencephalography (EEG) signals
☆9Updated 2 years ago
Alternatives and similar repositories for DeepLearningProject:
Users that are interested in DeepLearningProject are comparing it to the libraries listed below
- EEG Artifact Removal Using Deep Learning (source code, IEEE Journal of Biomedical and Health Informatics)☆33Updated 2 years ago
- ☆22Updated 3 months ago
- ☆14Updated last year
- ☆10Updated last year
- paper for “Multiscale space-time-frequency feature-guided multitask learning CNN for motor imagery EEG classification”☆13Updated 4 years ago
- ☆40Updated 4 years ago
- A toolbox for EEG signals processing. Welcome to join and build!☆11Updated 2 years ago
- An Open-Source GUI for CNN-based EEG Decoding and Model Interpretation☆15Updated 2 years ago
- ☆18Updated 4 years ago
- source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Indu…☆53Updated 2 years ago
- [TNNLS-2025] This is the pytorch implementation of EmT, a graph-transformer for EEG emotion recognition.☆33Updated 2 weeks ago
- End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE Transactions on Biomedical Engineering)☆87Updated 2 years ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆42Updated 4 months ago
- Global Adaptive Transformer for Cross-Subject EEG Classification.☆27Updated last year
- Code for processing and managing data for EEG-based emotion recognition of individuals with and without Autism. EEG and other clinical da…☆47Updated 2 months ago
- PyTorch code for "Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative Training"☆14Updated last year
- SOTA methods for performing emotion classification using Transformers.☆21Updated 2 years ago
- This repository contains the code for emotion recognition using wavelet transform and svm classifiers' rbf kernel.☆35Updated 2 years ago
- In this project, we implemented 7 interpretation techniques on two benchmark deep learning models "EEGNet" and "InterpretableCNN" for EEG…☆16Updated 3 years ago
- In AugmentBrain we investigate the performance of different data augmentation methods for the classification of Motor Imagery (MI) data u…☆22Updated 3 years ago
- The decoding of continuous EEG rhythms during action observation (AO), motor imagery (MI), and motor execution (ME) for standing and sitt…☆39Updated 7 months ago
- Construct a model, which contains channel-attention, CNN, LSTM, self-attention, to classify EEG data;☆10Updated 3 years ago
- bruAristimunha / Re-Deep-Convolution-Neural-Network-and-Autoencoders-Based-Unsupervised-Feature-Learning-of-EEG☆21Updated 2 years ago
- Towards Domain Free Transformer for Generalized EEG Pre-training☆26Updated last year
- The codes that I implemented during my B.Sc. project.☆22Updated 3 years ago
- [IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BC…☆65Updated 3 months ago
- The model code for the TS-SEFFNet proposed in the paper "A Temporal-Spectral-based Squeeze-and-Excitation Feature Fusion Network for Moto…☆18Updated 3 years ago
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆48Updated 3 years ago
- Analysis of Transformer attention in EEG signal classification☆43Updated 7 months ago
- Existing work in the field of BCI treats deep learning models as black-box classifiers. In this project, we develop a novel model named "…☆19Updated 3 years ago