berdakh / eeg-pytorch-bciLinks
This repository provides a comprehensive pipeline for analyzing motor imagery EEG data using MNE-Python and PyTorch.
☆37Updated 7 months ago
Alternatives and similar repositories for eeg-pytorch-bci
Users that are interested in eeg-pytorch-bci are comparing it to the libraries listed below
Sorting:
- ☆108Updated 6 years ago
- EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow☆238Updated last year
- Hands-on tutorial on deep learning for EEG classification.☆86Updated last year
- Generate statistical features from Electroencephalographic data☆95Updated 3 years ago
- Deep Learning with Tensor Flow for EEG MNE Epoch Objects☆280Updated 3 years ago
- CNN classifier to classify MI-EEG signals☆50Updated 6 years ago
- EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.☆161Updated 2 years ago
- This repository provides a collection of example codes and tutorials for EEG data analysis using MNE-Python. The scripts are designed to …☆27Updated 7 months ago
- PyTorch EEG emotion analysis using DEAP dataset☆93Updated 8 years ago
- [Old version] PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces - https://arxiv.o…☆356Updated 6 years ago
- PyTorch implementation of TSception☆83Updated 2 years ago
- EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comp…☆228Updated 2 years ago
- Supplementary material for systematic literature review on deep learning and EEG.☆158Updated 5 years ago
- This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) applications.☆92Updated 5 years ago
- modify self-attention model for EEG signal as input and image embedding layer as output☆102Updated 6 years ago
- ☆133Updated 3 years ago
- 1D Convolutional Neural Networks for P300 detection from EEG signals☆90Updated 2 years ago
- EEG Sleep stage classification using CNN with Keras☆182Updated last year
- End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE Transactions on Biomedical Engineering)☆101Updated 7 months ago
- ☆45Updated 6 years ago
- Resources for Book: Deep Learning for EEG-based Brain-Computer Interface: Representations, Algorithms and Applications☆272Updated 2 years ago
- source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Indu…☆65Updated 3 years ago
- This project was a joint effort with the neurology labs at UNL and UCD Anschutz to use deep learning to classify EEG data.☆222Updated 8 years ago
- Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting (CHIL 2022)☆118Updated 2 years ago
- EEG motor imagery classification using convolutional neural networks☆43Updated 2 years ago
- Feature Extraction of Mental Load EEG signals☆60Updated 9 years ago
- Motor Imagery EEG Signal Classification Using Random Subspace Ensemble Network☆42Updated 2 years ago
- EEG data processing and it's convolution using AutoEncoder + CNN + RNN☆95Updated 7 years ago
- EEG Artifact Removal Using Deep Learning (source code, IEEE Journal of Biomedical and Health Informatics)☆44Updated 3 years ago
- Using multi-task learning to capture signals simultaneously from the fovea efficiently and the neighboring targets in the peripheral visi…☆37Updated 3 years ago