SuperBruceJia/EEG-DL
A deep learning library for EEG signal classification built on TensorFlow.
Not currently ranked — collecting fresh signals.
star history
EEG-DL provides a collection of deep learning algorithms for classifying electroencephalography signals, supporting architectures such as CNN, LSTM, GRU, ResNet, DenseNet, Transformer, and Graph Convolutional Networks. It is designed for brain-computer interface research and neuroscience applications including motor imagery classification, and is built specifically for EEG data processing and classification tasks.
Frequently asked
- What is SuperBruceJia/EEG-DL?
- A deep learning library for EEG signal classification built on TensorFlow.
- Is EEG-DL open source?
- Yes — SuperBruceJia/EEG-DL is open source, released under the MIT license.
- What language is EEG-DL written in?
- SuperBruceJia/EEG-DL is primarily written in Python.
- How popular is EEG-DL?
- SuperBruceJia/EEG-DL has 1.2k stars on GitHub.
- Where can I find EEG-DL?
- SuperBruceJia/EEG-DL is on GitHub at https://github.com/SuperBruceJia/EEG-DL.