gosock's Stars
TBC-TJU/MetaBCI
MetaBCI: China’s first open-source platform for non-invasive brain computer interface. The project of MetaBCI is led by Prof. Minpeng Xu from Tianjin University, China.
ABaldrati/AugmentBrain
In AugmentBrain we investigate the performance of different data augmentation methods for the classification of Motor Imagery (MI) data using a Convolutional Neural Network tailored for EEG named EEGNet.
dfreer15/DeepEEGDataAugmentation
Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation including intentionally imbalancing a dataset, and appending modified data to the training set.
Altaheri/EEG-ATCNet
Attention temporal convolutional network for EEG-based motor imagery classification
arkanivasarkar/EEG-Data-Augmentation-using-Variational-Autoencoder
Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals
eeg-augmentation-benchmark/eeg-augmentation-benchmark-2022
Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive models on EEG: a systematic comparison", 2022).
AbbasSalami/EEG-ITNet
nntrongnghia/eeg-motor-imagery-decoding
EEG Motor Imagery with Deep Learning
High-East/BCI-ToolBox
Deep Learning pipeline for motor-imagery classification.
vlawhern/arl-eegmodels
This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow
pbashivan/EEGLearn
A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.
haird4426/motor-imagery-classification
BCI Competition IV dataset 2a
wmvanvliet/neuroscience_tutorials
Some tutorials for students of neuroscience
kevinkuo52/LDA-on-EEG-Motor-Movement-Imagery-Dataset
Linear discriminant analysis on EEG Motor Movement/Imagery Dataset: https://www.physionet.org/pn4/eegmmidb/
mne-tools/mne-realtime
Realtime data analysis with MNE-Python
shenyurun/EEGLearning
Different EEG Processing Methods on BCI competition
krishk97/ECE-C247-EEG-GAN
GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, datasets 2a. Final project for UCLA's EE C247: Neural Networks and Deep Learning course.