IoBT-VISTEC / EEGANetLinks
EEG Artifact Removal Using Deep Learning (source code, IEEE Journal of Biomedical and Health Informatics)
☆37Updated 2 years ago
Alternatives and similar repositories for EEGANet
Users that are interested in EEGANet are comparing it to the libraries listed below
Sorting:
- Deep learning model for EEG artifact removal☆76Updated 3 years ago
- This project describes the necessary code to implement an EEG-based emotion recognition using SincNet [Ravanelli & Bengio 2018] including…☆74Updated last month
- ☆18Updated 4 years ago
- Meta-Learning for EEG, Sleep Staging, Transfer Learning, Pre-trained EEG, PSG datasets (IEEE Journal of Biomedical and Health Informatic…☆41Updated 4 years ago
- source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Indu…☆57Updated 2 years ago
- A python package for extracting EEG features. See article "Unsupervised EEG Artifact Detection and Correction" in Frontiers in Digital He…☆70Updated last year
- In this project, we propose a CNN model to classify single-channel EEG for driver drowsiness detection. We use the Class Activation Map (…☆27Updated 3 years ago
- code for NeurIPS_competition☆28Updated 3 years ago
- End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE Transactions on Biomedical Engineering)☆92Updated 2 months ago
- ☆31Updated 4 months ago
- selfEEG: a Python library for Self-Supervised Learning on Electroencephalography (EEG) data☆59Updated last month
- ☆19Updated 4 months ago
- Official implementation of our MICCAI 2022 paper "mulEEG: A Multi-View Representation Learning on EEG Signals"☆35Updated 2 years ago
- [IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BC…☆81Updated last month
- ☆26Updated last month
- About Open source code of paper: Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX☆63Updated last year
- Hands-on tutorial on deep learning for EEG classification.☆81Updated last year
- Analysis of Transformer attention in EEG signal classification☆44Updated 11 months ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆44Updated 8 months ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆46Updated 2 years ago
- Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting (CHIL 2022)☆106Updated 2 years ago
- modify self-attention model for EEG signal as input and image embedding layer as output☆103Updated 6 years ago
- Transfer learning for sleep stage detection☆32Updated 3 years ago
- Code for processing and managing data for EEG-based emotion recognition of individuals with and without Autism. EEG and other clinical da…☆51Updated last month
- ☆38Updated 4 years ago
- ☆13Updated last year
- Deep Learning pipeline for motor-imagery classification.☆60Updated 3 years ago
- TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG☆30Updated 4 years ago
- ☆15Updated last year
- This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) applications.☆89Updated 4 years ago