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.

Date Created 2023-11-12 (about a year ago)
Commits 6 (last one 4 months ago)
Stargazers 34 (0 this week)
Watchers 2 (0 this week)
Forks 0
License unknown
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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.

AliAmini93/ADHDeepNet is also tagged with popular topics, for these it's ranked: deep-learning (#8,019/8398),  cnn (#521/546),  interpretability (#150/166)

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

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The only known language in this repository is Jupyter Notebook

updated: 2024-10-02 @ 11:40pm, id: 717848114 / R_kgDOKsl-Mg