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a-biometric-system-using-eeg-signals

analogbiofeedback

Utilizes qualisys analog signal to display realtime graphing of data in Python that can be used for Biofeedback

antropy

AntroPy: entropy and complexity of (EEG) time-series in Python

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

bci-ssvep

Study of Steady States Visual Evoked Potentials in EEG

book_deeplearning_in_pytorch_source

bpf-developer-tutorial

eBPF Developer Tutorial: Learning eBPF Step by Step with Examples

brain-stem-eeg

Using an eeg headset to read attention level a D3 binary tree is generated and grows with higher concentration.

brainnet

EEG brain wave identification using deep learning

brainstorm3

Brainstorm software: MEG, EEG, fNIRS, ECoG, sEEG and electrophysiology

bsl

A framework for real-time brain signal streaming.

closedloop

Framework for building a closed loop neurofeedback system.

cross-frequency-coupling

Learning Notes of Cross Frequency Coupling

d3-react-family-tree

D3 Trees with React and Alt

de_cnn

This repository contains the tensorflow implementation for our ICONIP-2018 paper: "Continuous Convolutional Neural Network with 3D Input for EEG-Based Emotion Recognition" (To appear...)

deep-bci

An open software package to develop BCI based brain and cognitive computing technology for recognizing user's intention using deep learning

deep-learning-detection-of-eeg-based-attention

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deepsleepnet

DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG

drivesafely

DriveSafely - EEG (Attention, Neurosky) based detection system for drivers

eeg-1

PyTorch EEG emotion analysis using DEAP dataset

eeg-data-for-mental-state-detection-code

7-week research project focusing on programming an artificial neural network for classification of childrens' attention states based on previously collected EEG readings.

eeg-datasets

A list of all public EEG-datasets

eeg-dl

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

eeg-experiment-itie

This EEG experiment aims to study the brain dynamics during visual search and object identification from a signal processing perspective. Tools used - MATLAB, MATLAB toolboxes, EEGLAB, Psychophysics Toolbox

eeg-ml

exploring different machine learning models to classify biometric data

eeg-user-identification

1D-convolutional LSTM based User Identification using EEG biometrics

eeg_deep_learning

Attention classification using deep learning with EEG data

eeglearn

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

eegnet

[Old version] PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces - https://arxiv.org/pdf/1611.08024.pdf