206 Open source projects that are alternatives of or similar to EEG-Motor-Imagery-Classification-CNNs-TensorFlow

A package for manipulating EEG data in R.

Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network". Accepted for publication (with an oral spotlight!) at ML4H Workshop, NeurIPS 2020.

Motor Imagery EEG Signal Classification Using Random Subspace Ensemble Network

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

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

Tensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)

Inspired by the neural style algorithm in the computer vision field, we propose a high-level language model with the aim of adapting the linguistic style.

🌎 I created this repository for educational purposes. It will host a number of projects as part of the process .

An image recognition/object detection model that detects handwritten digits and simple math operators. The output of the predicted objects (numbers & math operators) is then evaluated and solved.

Fine grained visual recognition tensorflow baseline on CUB, Stanford Cars, Dogs, Aircrafts, and Flower102.

Python machine learning package based on sklearn API for multivariate data processing and statistical analysis of symmetric positive definite matrices via Riemannian geometry

基于Tensorflow2开发的优秀扩展包及项目

How to use TensorLayer

An AI based application to identify currency and gives audio feedback.

Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".

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

Balanced Multiclass Image Classification with TensorFlow on Python.

Blackrock Microsystems Cerebus Link for Neural Signal Processing

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.

A wheelchair controlled by EEG brain signals and enhanced with assisted driving

Age + Gender Estimation on Android with TensorFlow Lite

Tensor Flow implementation for Android

This project demonstrates how to run and save predictions locally using exported tensorflow estimator model

Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)

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

Android SDK for the NeuroSky MindWave Mobile Brainwave Sensing Headset

BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors

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

EEG Sleep stage classification using CNN with Keras

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

Mother of All BCI Benchmarks

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

Microstate EEGlab toolbox

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

Parameterizing neural power spectra into periodic & aperiodic components.

The MATLAB toolbox for MEG, EEG and iEEG analysis

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

Binary Image Classification in TensorFlow

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

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

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

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

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

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

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

CS198-96: Intro to Neurotechnology @ UC Berkeley

Python + EEG/MEG = PyEEG

NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing

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

Fusion ICA Toolbox (MATLAB)

Matlab toolbox for univariate and multivariate analysis of EEG data in the time and frequency domains

Chrome browser extension for using TensorFlow image recognition on web pages

Visual EEG readings from the Muse EEG Headset

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

TAPAS - Translational Algorithms for Psychiatry-Advancing Science

MNELAB – a GUI for MNE

python implementations of Analyzing Neural Time Series Textbook

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

📊 EEG signal processing and machine learning in JavaScript

Example with Cortex V2 API