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 5 months ago)

Stargazers 35 (0 this week)

Watchers 2 (0 this week)

Forks 0

License unknown

Ranking

RepositoryStats indexes 595,856 repositories, of these AliAmini93/ADHDeepNet is ranked #546,104 (8th 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 #15,394/17,543.

AliAmini93/ADHDeepNet is also tagged with popular topics, for these it's ranked: deep-learning (#8,065/8512), cnn (#521/556), interpretability (#150/169)

All Topics

cnn adhd t-sne eegnet inception eeg-signals deep-learning interpretability weight-visualization squeeze-and-excitation-networks

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Recent Commit History

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: 2024-12-05 @ 07:00pm, id: 717848114 / R_kgDOKsl-Mg