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This code implements the EEG Net deep learning model using PyTorch. The EEG Net model is based on the research paper titled "EEGNet: A Compact Convolutional Neural Network for EEG-based Brain-Computer Interfaces".
Class to automatic create Convolutional Neural Network in PyTorch
Recognizing Hand Movements Using EEG-Signal Classification
Leveraging Transfer Learning to Improve Stroke Patient Motor-Imagery Classification.