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GitHub / arkanivasarkar / EEG-Data-Augmentation-using-Variational-Autoencoder

Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/arkanivasarkar%2FEEG-Data-Augmentation-using-Variational-Autoencoder

Stars: 42
Forks: 9
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 29.3 KB
Dependencies parsed at: Pending

Created at: over 3 years ago
Updated at: 3 months ago
Pushed at: 6 months ago
Last synced at: 2 months ago

Topics: data-augmentation, eeg-signals, eegnet, keras, keras-tensorflow, motor-imagery-classification, synthetic-dataset-generation, variational-autoencoder

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