braindecode and DeepEEG
These are competitors offering overlapping deep learning approaches for EEG signal decoding, though braindecode is more mature and broadly applicable while DeepEEG is more narrowly focused on MNE epoch objects with TensorFlow.
About braindecode
braindecode/braindecode
Deep learning software to decode EEG, ECG or MEG signals
This tool helps neuroscientists and deep learning researchers analyze raw brain activity signals like EEG, ECoG, or MEG using deep learning models. It takes raw electrophysiological data as input and provides processed, visualized data and insights from various deep learning architectures. It's designed for those who want to apply advanced computational methods to understand brain function or build brain-computer interfaces.
About DeepEEG
kylemath/DeepEEG
Deep Learning with Tensor Flow for EEG MNE Epoch Objects
DeepEEG helps neuroscience researchers and practitioners analyze Electroencephalography (EEG) data. You feed it raw EEG recordings or pre-processed EEG trials, and it outputs predictions classifying the brain activity into categories. This is useful for anyone studying brain responses to stimuli or looking to build models to distinguish different brain states.
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