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Deep Learning pipeline for motor-imagery classification.
Implement simple EEG classification models which are EEGNet, DeepConvNet with BCI competition dataset
运动想象分类模型---ATCNet,源代码融合了关于EEGNet,DeepConvNet,ShallowConvNet等多种典型模型作对比
EEG classification using EEGNET / DeepConvNet / ShallowConvNet
A general matlab framework for EEG data classification
An EEG dichotomy program file , using CSP and SVM.
[Old version] PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces - https://arxiv.org/pdf/1611.08024.pdf
Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-based EEG Signals
PyTorch implementation of DGCNN
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