eeg-classification

jesus-333/FBCSP-Python

Python implemementation of the FBCSP algorithm

Z-Fran/DEAP-EEG-Emotion-Analyse-and-Classify

Simply emotion analyse and classify using EEG data based on DEAP dataset, using python and sklearn(SVM,KNN,Tree). 简单的EEG脑电数据情感分析，使用python和DEAP数据集。

gist-ailab/IITNet-official

This is an official implementation for "Intra- and inter-epoch temporal context network (IITNet) using sub-epoch features for automatic sleep scoring on raw single-channel EEG".

Ildaron/3.eeg_recognation

Machine learning for Anonymous detection of an alcoholic by EEG signals

SuperBruceJia/EEG-BayesianCNN

This is an EEG Signals Classification based on Bayesian Convolutional Neural Network (Bayesian CNNs) via Variational Inference.

rivasd/eeglstm

LSTM-based neural network system to predict EEG signals

yaxan/EEG-gaming-and-speech

EEG Brain-Computer Interface to play Flappy Bird and use SSVEP to communicate

ssaket/eeg-pipeline

End-to-End EEG Pipeline for cleaning, filtering, ICA, mass-univariate, and decoding analysis using MNE python

MexsonFernandes/EEG-controlled-Robot-using-Neurosky-Mindwave-Mobile2

Mobile Robot controlled using Neurosky Mindwave headset. This repository contains the data collection and robot control scripts developed using C#. Features of the data has been extracted using EMD and HHT formulaes.

neerajwagh/eeg-self-supervision

Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizability". Accepted at ML4H Symposium 2021 with an oral spotlight!

pbizopoulos/signal2image-modules-in-deep-neural-networks-for-eeg-classification

AnilOsmanTur/Brain-Computer-Interface-with-Neurosky

Brain Computer Interface (BCI) with Neurosky Mindwave Mobile 2 that enables anyone to use computer, mobilephone etc. with his/her thoughts.

mauricio-ms/motor-imagery

Project to test the accuracy of multiple algorithms published in articles to the EEG binary motor imagery problem

rasoulghaznavi/MLSEED

Emotion Recognition using ML methods on the SEED dataset

comojin1994/DFformer

Towards Domain Free Transformer for Generalized EEG Pre-training

reshalfahsi/eeg-motor-imagery-classification

EEG Motor Imagery Classification Using CNN, Transformer, and MLP

ShubhamVerma1/EEG-Signal-Classification

Eye open and close classification using Machine Learning

YangWangsky/tf_EEGNet

It's a tensorflow implemention for EEGNet

IoBT-VISTEC/Deep-Learning-for-EEG-Based-Biometrics

Affective EEG-Based Person Identification Using the Deep Learning Approach (IEEE Transactions on Cognitive and Developmental Systems)

Ahmed-Habashy/Dataset-BCI-competition-iv-2b

This is a python code for extracting EEG signals from dataset 2b from competition iv, then it converts the data to spectrogram images to classify them using a CNN classifier.

neerajwagh/evaluating-eeg-representations

Resources for the paper titled "Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts". Accepted at NeurIPS 2022.

sabinechen/SPD-CNN-Using-Meta-Transfer-Learing-EEG-Cross-Subject-learning

SPD-CNN: A Plain CNN-Based Model Using the Symmetric Positive Definite Matrices for Cross-Subject EEG Classification with Meta-Transfer-Learning

aristotelisballas/biodg

BioDG is a publically available framework for the evaluation of Domain Generalization algorithms in Biosignal Classification.

kevmtan/electroCUDA

Robust electrophysiology tools with GPU acceleration

DevinHillenius/brain-powered

With the Brain Powered honourscourse at the UvA we aimed to control a drone using brain signals, measured by means of EEG, only.

nntrongnghia/eeg-motor-imagery-decoding

EEG Motor Imagery with Deep Learning

secondlevel/EEG-classification

It is the task to classify BCI competition datasets (EEG signals) using EEGNet and DeepConvNet with different activation functions. You can get some detailed introduction and experimental results in the link below. https://github.com/secondlevel/EEG-classification/blob/main/Experiment%20Report.pdf

mesca/turnkey-bci

Towards Turnkey Brain-Computer Interfaces

peterwhycs/T-BEAR

Detect EEG artifacts, outliers, or anomalies using supervised machine learning.

riggraz/valence-arousal-classification-from-eeg

Statistical comparison study of valence-arousal classifiers from EEG signals on DEAP and MANHOB datasets

davidemiani/hgdecode

Implements High-Gamma dataset decoding using Filter Bank Common Spatial Pattern with rLDA classification and Neural Networks.

duanyiqun/CTNAS-EEG

Code for Cross-Task Neural Architecture Search for EEG Signals

fkupilik/MNE_ML

BrainVision EEG data classification using the MNE, Keras and the scikit-learn libraries.

HeyyyyyyG/Multi-souce-Separation-and-Alignment-Network-for-EEG-Emotion-Classification

Transfer learning for multi source EEG-emotion-classification

maryjis/eeg_depression

machine learning models for predicting depression based on EEG data