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pypi.org : fwexplainerdashboard
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
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purl: pkg:pypi/fwexplainerdashboard
Keywords: machine learning, explainability, shap, feature importances, dash, dashboard, data-scientists, explainer, inner-workings, interactive-dashboards, interactive-plots, model-predictions, permutation-importances, plotly, shap-values, xai, xai-library
License: MIT
Latest release: about 3 years ago
First release: about 3 years ago
Dependent repositories: 1
Downloads: 8 last month
Stars: 2,227 on GitHub
Forks: 320 on GitHub
Total Commits: 1235
Committers: 21
Average commits per author: 58.81
Development Distribution Score (DDS): 0.137
More commit stats: commits.ecosyste.ms
See more repository details: repos.ecosyste.ms
Funding links: https://github.com/sponsors/oegedijk
Last synced: 6 days ago