🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
Create easy-to-understand visual explanations for machine learning models, helping both experts and non-experts grasp their workings.
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Free · no card · unsubscribe anytime🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
shapash has 3.2k stars on GitHub. It has been forked 389 times. shapash is written mainly in Jupyter Notebook. It has been in active development since 2020. shapash is available under the Apache-2.0 license. Its main topics are ethical-artificial-intelligence, explainability, explainable-ml, interpretability.
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
shapash is an open-source project. It is released under the Apache-2.0 license.
Yes. shapash is free and open source — you can use, modify and self-host it.
shapash is available under the Apache-2.0 license.
shapash is written mainly in Jupyter Notebook.
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