berdakh / eeg-pytorch-bciLinks
This repository provides a comprehensive pipeline for analyzing motor imagery EEG data using MNE-Python and PyTorch.
☆36Updated 4 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:
- Hands-on tutorial on deep learning for EEG classification.☆83Updated last year
- Generate statistical features from Electroencephalographic data☆94Updated 3 years ago
- EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow☆229Updated last year
- ☆108Updated 6 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 4 months ago
- Deep Learning with Tensor Flow for EEG MNE Epoch Objects☆279Updated 2 years ago
- [Old version] PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces - https://arxiv.o…☆330Updated 6 years ago
- Supplementary material for systematic literature review on deep learning and EEG.☆158Updated 5 years ago
- PyTorch EEG emotion analysis using DEAP dataset☆90Updated 7 years ago
- EEG Sleep stage classification using CNN with Keras☆179Updated last year
- CNN classifier to classify MI-EEG signals☆50Updated 5 years ago
- Resources for Book: Deep Learning for EEG-based Brain-Computer Interface: Representations, Algorithms and Applications☆263Updated 2 years ago
- modify self-attention model for EEG signal as input and image embedding layer as output☆103Updated 6 years ago
- SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach☆257Updated 4 years ago
- This project is for classification of emotions using EEG signals recorded in the DEAP dataset to achieve high accuracy score using machi…☆179Updated 6 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.☆218Updated 8 years ago
- EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.☆154Updated last year
- Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting (CHIL 2022)☆112Updated 2 years ago
- The decoding of continuous EEG rhythms during action observation (AO), motor imagery (MI), and motor execution (ME) for standing and sitt…☆39Updated last year
- Moved to https://github.com/TNTLFreiburg/braindecode!☆66Updated 5 years ago
- Code for processing and managing data for EEG-based emotion recognition of individuals with and without Autism. EEG and other clinical da…☆52Updated 3 months ago
- Processed the DEAP dataset on basis of 1) PSD (power spectral density) and 2)DWT(discrete wavelet transform) features . Classifies the EE…☆130Updated 5 years ago
- Deep learning model for EEG artifact removal☆77Updated 3 years ago
- EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comp…☆212Updated 2 years ago
- ☆44Updated 6 years ago
- EEG Emotion classification using the DEAP pre-processed data☆158Updated 6 years ago
- source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Indu…☆62Updated 3 years ago
- This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) applications.☆89Updated 4 years ago
- End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE Transactions on Biomedical Engineering)☆95Updated 4 months ago
- EEG motor imagery classification using convolutional neural networks☆39Updated 2 years ago