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

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

Date Created 2021-10-14 (3 years ago)

Commits 13 (last one 27 days ago)

Stargazers 38 (0 this week)

Watchers 2 (0 this week)

Forks 10

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RepositoryStats indexes 595,856 repositories, of these arkanivasarkar/EEG-Data-Augmentation-using-Variational-Autoencoder is ranked #530,949 (11th percentile) for total stargazers, and #485,301 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #14,752/17,543.

arkanivasarkar/EEG-Data-Augmentation-using-Variational-Autoencoder is also tagged with popular topics, for these it's ranked: keras (#764/794)

All Topics

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

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2 commits on the default branch (main) since jan '22

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updated: 2024-11-26 @ 07:33am, id: 417104301 / R_kgDOGNyBrQ