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arl-eegmodels
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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

by vlawhern · GitHub
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brain-computer-interfaceconvolutional-neural-networksdeep-learningPython
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2026-07-202026-08-31
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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

arl-eegmodels has 1.5k stars on GitHub. It has been forked 334 times. arl-eegmodels is written mainly in Python. It has been in active development since 2018. Its main topics are brain-computer-interface, convolutional-neural-networks, deep-learning, eeg.

Frequently asked questions

What is 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

Is arl-eegmodels open source?

arl-eegmodels is an open-source project.

Is arl-eegmodels free?

Yes. arl-eegmodels is free and open source — you can use, modify and self-host it.

What language is arl-eegmodels written in?

arl-eegmodels is written mainly in Python.

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