IoBT-VISTEC / Pre-trained-EEG-for-Deep-LearningLinks
Universal Joint Feature Extraction for P300 EEG Classification Using Multi-Task Autoencoder (IEEE Access)
☆45Updated 6 years ago
Alternatives and similar repositories for Pre-trained-EEG-for-Deep-Learning
Users that are interested in Pre-trained-EEG-for-Deep-Learning are comparing it to the libraries listed below
Sorting:
- End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE Transactions on Biomedical Engineering)☆98Updated 6 months ago
- Meta-Learning for EEG, Sleep Staging, Transfer Learning, Pre-trained EEG, PSG datasets (IEEE Journal of Biomedical and Health Informatic…☆43Updated 4 years ago
- ☆108Updated 6 years ago
- This repository provides a comprehensive pipeline for analyzing motor imagery EEG data using MNE-Python and PyTorch.☆37Updated 5 months ago
- EEG Sleep stage classification using CNN with Keras☆179Updated last year
- A library with tools for EEG analysis☆68Updated last month
- Deep Learning EEG Playground☆76Updated last year
- SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach☆261Updated 4 years ago
- Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting (CHIL 2022)☆116Updated 2 years ago
- A python package for extracting EEG features. See article "Unsupervised EEG Artifact Detection and Correction" in Frontiers in Digital He…☆72Updated last week
- EEG Features to be extract from raw data.☆28Updated 8 years ago
- EEG Artifact Removal Using Deep Learning (source code, IEEE Journal of Biomedical and Health Informatics)☆40Updated 3 years ago
- source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Indu…☆64Updated 3 years ago
- PyTorch implementation of TSception☆84Updated 2 years ago
- Motor Imagery EEG Signal Classification Using Random Subspace Ensemble Network☆41Updated 2 years ago
- EEG Data Classification with CNN, LSTM/GRU, and Mixed LSTM Models☆40Updated 6 years ago
- Python + EEG/MEG = PyEEG☆258Updated last year
- Hands-on tutorial on deep learning for EEG classification.☆86Updated last year
- Supplementary material for systematic literature review on deep learning and EEG.☆158Updated 5 years ago
- Seizure prediction from EEG data using machine learning. 3rd place solution for Kaggle/Uni Melbourne seizure prediction competition.☆109Updated 5 years ago
- This repo is for the submission for my Final Year Project on creating Synthetic EEG Data using General Adverserial Neural Networks (GANs)…☆53Updated 5 years ago
- CNN classifier to classify MI-EEG signals☆50Updated 5 years ago
- Generate statistical features from Electroencephalographic data☆95Updated 3 years ago
- In this project, we propose a CNN model to classify single-channel EEG for driver drowsiness detection. We use the Class Activation Map (…☆28Updated 3 years ago
- ☆33Updated 8 months ago
- TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG by Akara Supratak and Yike Guo fro…☆162Updated 2 years ago
- modify self-attention model for EEG signal as input and image embedding layer as output☆102Updated 6 years ago
- This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) applications.☆90Updated 4 years ago
- 1D Convolutional Neural Networks for P300 detection from EEG signals☆90Updated 2 years ago
- A general matlab framework for EEG data classification☆50Updated 8 years ago