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.