SuperBruceJia/EEG-DL

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

53
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Established

This library helps neuroscientists and researchers classify brain activity (EEG signals) using advanced deep learning techniques. You input raw or preprocessed EEG data, and it provides classifications or predictions based on learned patterns in the brain signals. It's designed for researchers working on understanding neurological conditions or brain-computer interfaces.

1,146 stars. No commits in the last 6 months.

Use this if you are a neuroscience researcher, bioengineer, or medical professional looking to apply deep learning models to classify EEG signals for research or diagnostic purposes.

Not ideal if you need a plug-and-play solution for EEG analysis without prior experience in deep learning or programming.

neuroscience research EEG signal analysis brain-computer interface neurological disorder diagnosis bioengineering
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 25 / 25

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Stars

1,146

Forks

234

Language

Python

License

MIT

Last pushed

Jul 20, 2025

Commits (30d)

0

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