97 Open source projects that are alternatives of or similar to Deep-Learning-for-BCI

Web Bluetooth client for the Ganglion brain-computer interface by OpenBCI

Android SDK for the NeuroSky MindWave Mobile Brainwave Sensing Headset

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

EEG Reader is an Android mobile application, which reads EEG signal from NeuroSky mobile device connected to smartphone via Bluetooth.

Open-Source board for converting RaspberryPI to Brain-computer interface

Interactive Brain Playground - Browser based tutorials on EEG with webbluetooth and muse

EntroPy: complexity of time-series in Python (DEPRECATED)

A lightweight I/O utility for the BrainVision data format, written in Python.

python implementations of Analyzing Neural Time Series Textbook

SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach

Datamining Discord changes from the JS files

Mother of All BCI Benchmarks

A list of openly available software tools for (mostly human) electrophysiology.

Parameterizing neural power spectra into periodic & aperiodic components.

PyTorch implementation of TSception

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

TAPAS - Translational Algorithms for Psychiatry-Advancing Science

MNE-CPP: A Framework for Electrophysiology

Visual EEG readings from the Muse EEG Headset

A fullstack javascript app for capturing and visualizing OpenBCI EEG data

🔎 A tracker for the various Fortnite Files

Real-time processing and plotting of data streamed over LSL, with a focus on student-led BCI projects.

CS198-96: Intro to Neurotechnology @ UC Berkeley

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

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

A convolutional neural network developed in python using the Keras machine learning framework used to categorize brain signal based on what a user was looking at when the EEG data was collected.

Converting real-time EEG into sounds, music and visual effects

A Python Toolbox for Statistics and Neurophysiological Signal Processing (EEG, EDA, ECG, EMG...).

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

[DEPRECATED: use MNE-Python] Python module to stream and analyze EEG data in real-time

A list of openly available datasets in (mostly human) electrophysiology.

A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X

Python + EEG/MEG = PyEEG

EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow

Open Source EIT system using Keithley 6221 current source and EEG systems

📊 EEG signal processing and machine learning in JavaScript

Deep Learning with Tensor Flow for EEG MNE Epoch Objects

Connectome Mapper 3 is a BIDS App that implements full anatomical, diffusion, resting/state functional MRI, and recently EEG processing pipelines, from raw T1 / DWI / BOLD , and preprocessed EEG data to multi-resolution brain parcellation with corresponding connection matrices.

A list of tutorials and other resources useful to learn open science and neuroimaging, EEG and MEG

EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD

A Node.js library that reads your mind with Emotiv EPOC EEG headset

[IEEE TNSRE] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"

EEG Sleep stage classification using CNN with Keras

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

Microstate EEGlab toolbox

A Go library for working with rows, columns, or matrix (deprecated, see https://github.com/shuLhan/share/tree/master/lib/tabula).

The MATLAB toolbox for MEG, EEG and iEEG analysis

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

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

SSVEP-based BCI recording of 12 subjects operating an upper limb exoskeleton during a shared control task. The exoskeleton is either controlled with a touchless interface detecting hand poses or with BCI.

Interactive neuroscience tutorial app using Muse and React Native to teach EEG and BCI basics.

Outdated, see new https://github.com/braindecode/braindecode

Python package for covariance matrices manipulation and Biosignal classification with application in Brain Computer interface

NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing

A package for manipulating EEG data in R.

Muse 2016 EEG Headset JavaScript Library (using Web Bluetooth)

Fusion ICA Toolbox (MATLAB)

Blackrock Microsystems Cerebus Link for Neural Signal Processing

A Collection Python EEG (+ ECG) Analysis Utilities for OpenBCI and Muse

Simulation and optimization of neural circuits for MEG/EEG source estimates