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GitHub / explainX / explainx

Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are looking for co-authors to take this project forward. Reach out @ [email protected]

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/explainX%2Fexplainx

Stars: 393
Forks: 54
Open Issues: 6

License: mit
Language: Jupyter Notebook
Repo Size: 61.2 MB
Dependencies: 21

Created: almost 4 years ago
Updated: 13 days ago
Last pushed: 3 months ago
Last synced: 9 days ago

Commit Stats

Commits: 173
Authors: 4
Mean commits per author: 43.25
Development Distribution Score: 0.416
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/explainX/explainx

Topics: aws-sagemaker, bias, blackbox, explainability, explainable-ai, explainable-artificial-intelligence, explainable-ml, explainx, interpretability, interpretable-ai, interpretable-machine-learning, machine-learning, machine-learning-interpretability, scikit-learn, transparency, xai

Funding links: https://patreon.com/explainxai

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