gosock

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.

  Language:Python360152

• 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.

  Language:Python213

• 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.

  Language:Python265

• Altaheri/EEG-ATCNet

  Attention temporal convolutional network for EEG-based motor imagery classification

  Language:Python16621

• arkanivasarkar/EEG-Data-Augmentation-using-Variational-Autoencoder

  Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals

  Language:Jupyter Notebook369

• 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).

  Language:Python373

• AbbasSalami/EEG-ITNet

  Language:Jupyter Notebook233

• nntrongnghia/eeg-motor-imagery-decoding

  EEG Motor Imagery with Deep Learning

  Language:Python121

• High-East/BCI-ToolBox

  Deep Learning pipeline for motor-imagery classification.

  Language:Python548

• 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

  Language:Python1.1k282

• pbashivan/EEGLearn

  A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.

  Language:Python709220

• haird4426/motor-imagery-classification

  BCI Competition IV dataset 2a

  Language:Jupyter Notebook261

• wmvanvliet/neuroscience_tutorials

  Some tutorials for students of neuroscience

  Language:Jupyter Notebook10631

• kevinkuo52/LDA-on-EEG-Motor-Movement-Imagery-Dataset

  Linear discriminant analysis on EEG Motor Movement/Imagery Dataset: https://www.physionet.org/pn4/eegmmidb/

  Language:Python153

• mne-tools/mne-realtime

  Realtime data analysis with MNE-Python

  Language:Python5223

• shenyurun/EEGLearning

  Different EEG Processing Methods on BCI competition

  Language:Python24

• 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.

  Language:Jupyter Notebook14542