aliasvishnu / EEGNetLinks
[Old version] PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces - https://arxiv.org/pdf/1611.08024.pdf
☆334Updated 6 years ago
Alternatives and similar repositories for EEGNet
Users that are interested in EEGNet are comparing it to the libraries listed below
Sorting:
- EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow☆231Updated last year
- ☆132Updated 2 years ago
- Deep Learning with Tensor Flow for EEG MNE Epoch Objects☆279Updated 2 years ago
- Supplementary material for systematic literature review on deep learning and EEG.☆158Updated 5 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
- CNN classifier to classify MI-EEG signals☆50Updated 5 years ago
- This is a repository for BCI Competition 2008 dataset IV 2a fixed and optimized for python and numpy. This dataset is related with motor …☆145Updated 3 months ago
- EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comp…☆215Updated 2 years ago
- Moved to https://github.com/TNTLFreiburg/braindecode!☆66Updated 5 years ago
- ☆68Updated 6 years ago
- modify self-attention model for EEG signal as input and image embedding layer as output☆103Updated 6 years ago
- Resources for Book: Deep Learning for EEG-based Brain-Computer Interface: Representations, Algorithms and Applications☆264Updated 2 years ago
- Attention temporal convolutional network for EEG-based motor imagery classification☆284Updated last month
- i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG…☆318Updated 2 years ago
- PyTorch EEG emotion analysis using DEAP dataset☆90Updated 7 years ago
- EEG Emotion classification using the DEAP pre-processed data☆160Updated 6 years ago
- Generate statistical features from Electroencephalographic data☆94Updated 3 years ago
- EEG data processing and it's convolution using AutoEncoder + CNN + RNN☆93Updated 7 years ago
- EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.☆633Updated last year
- Task-related component analysis (TRCA)-based algorithm for detecting steady-state visual evoked potentials (SSVEPs) toward a high-speed b…☆138Updated last year
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆140Updated last year
- Realtime emotion recognition from EEG data.☆163Updated 7 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
- Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data☆80Updated 7 years ago
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆89Updated 3 years 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
- Tutorial for data processing for hybrid BCI☆40Updated 7 years ago
- Deep learning software to decode EEG, ECG or MEG signals☆1,048Updated this week
- Pytorch implementation of EEGNet.☆49Updated 3 years ago
- Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Grap…☆180Updated 3 years ago