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
☆358Updated 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☆238Updated last year
- Deep Learning with Tensor Flow for EEG MNE Epoch Objects☆280Updated 3 years ago
- ☆133Updated 3 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 …☆155Updated 6 months ago
- EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comp…☆233Updated 2 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
- Moved to https://github.com/TNTLFreiburg/braindecode!☆69Updated 5 years ago
- Supplementary material for systematic literature review on deep learning and EEG.☆158Updated 5 years ago
- ☆69Updated 7 years ago
- PyTorch EEG emotion analysis using DEAP dataset☆94Updated 8 years ago
- Attention temporal convolutional network for EEG-based motor imagery classification☆318Updated 2 months ago
- CNN classifier to classify MI-EEG signals☆51Updated 6 years ago
- modify self-attention model for EEG signal as input and image embedding layer as output☆102Updated 6 years ago
- GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, da…☆171Updated 5 years ago
- EEG Emotion classification using the DEAP pre-processed data☆164Updated 7 years ago
- Pytorch implementation of EEGNet.☆52Updated 3 years ago
- i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG…☆331Updated 2 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆145Updated 2 years ago
- EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.☆692Updated last year
- EEG Sleep stage classification using CNN with Keras☆183Updated last year
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆92Updated 3 years ago
- EEG data processing and it's convolution using AutoEncoder + CNN + RNN☆96Updated 7 years ago
- ☆78Updated 3 years ago
- Motor Imagery Classification based on EEG at Columbia Medical Center☆48Updated 5 years ago
- Task-related component analysis (TRCA)-based algorithm for detecting steady-state visual evoked potentials (SSVEPs) toward a high-speed b…☆145Updated 2 years ago
- A Novel Brain-Computer Interfaces System Design Based on Combining of fNIRS and EEG Signals☆21Updated 4 years ago
- Processed the DEAP dataset on basis of 1) PSD (power spectral density) and 2)DWT(discrete wavelet transform) features . Classifies the EE…☆133Updated 5 years ago
- Generate statistical features from Electroencephalographic data☆95Updated 3 years ago
- Resources for Book: Deep Learning for EEG-based Brain-Computer Interface: Representations, Algorithms and Applications☆276Updated 3 years ago
- This project is for classification of emotions using EEG signals recorded in the DEAP dataset to achieve high accuracy score using machi…☆189Updated 6 years ago