braindecode and dpeeg
These are ecosystem siblings where braindecode is a mature deep learning framework for EEG signal decoding, while dpeeg appears to be an alternative or specialized implementation of similar deep learning approaches for EEG processing, both occupying the same problem domain but at different maturity levels.
About braindecode
braindecode/braindecode
Deep learning software to decode EEG, ECG or MEG signals
Built on PyTorch, it provides pre-implemented convolutional neural network architectures specifically designed for brain signal analysis, along with dataset fetchers (MOABB integration), preprocessing pipelines, and data augmentation techniques. The toolbox bridges neuroscience and deep learning by handling raw signal decoding end-to-end, leveraging MNE-Python for signal processing and supporting ECoG in addition to EEG and MEG modalities.
About dpeeg
SheepTAO/dpeeg
Deep Learning with EEG.
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