A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
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Updated
Jan 19, 2023 - Python
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
Open-Source Brain-Computer Interface, ADS1299 and STM32
Muse 2016 EEG Headset JavaScript Library (using Web Bluetooth)
ERPLAB Toolbox is a free, open-source Matlab package for analyzing ERP data. It is tightly integrated with EEGLAB Toolbox, extending EEGLAB’s capabilities to provide robust, industrial-strength tools for ERP processing, visualization, and analysis. A graphical user interface makes it easy for beginners to learn, and Matlab scripting provides eno…
EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow
Interactive Brain Playground - Browser based tutorials on EEG with webbluetooth and muse
An R package for processing and plotting of electroencephalography (EEG) data
Analyze and manipulate EEG data using PyEEGLab.
This example shows how to build and train a convolutional neural network (CNN) from scratch to perform a classification task with an EEG dataset.
The decoding of continuous EEG rhythms during action observation (AO), motor imagery (MI), and motor execution (ME) for standing and sitting. (IEEE Sensors Journal)
Machine learning for Anonymous detection of an alcoholic by EEG signals
Codebase for "Generating multivariate time series with COmmon Source CoordInated GAN (COSCI-GAN)"
EEG Features to be extract from raw data.
A MATLAB application to automatize analysis of EEG data
A package for manipulating EEG data in R.
Repository with Machine Learning techniques to identify Epileptic Seizure from EEG data.
Android app for EEG data visualization and recording with the Traumschreiber BLE device
Supporting code for the GX Dataset
Resources for the paper titled "Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts". Accepted at NeurIPS 2022.
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