AliAmini93 / ADHDeepNet
ADHDeepNet is a model that integrates temporal and spatial characterization, attention modules, and explainability techniques, optimized for EEG data ADAD diagnosis. Neural Architecture Search (NAS), Hyper-parameter optimization, and data augmentation are also incorporated to enhance the model's performance and accuracy.
RepositoryStats indexes 584,777 repositories, of these AliAmini93/ADHDeepNet is ranked #542,823 (7th percentile) for total stargazers, and #478,954 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #15,296/17,124.
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6 commits on the default branch (main) since jan '22
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updated: 2024-10-02 @ 11:40pm, id: 717848114 / R_kgDOKsl-Mg