AI Explainability 360

AI Explainability 360#

Description#

The AI Explainability 360 toolkit is an open-source library that supports interpretability and explainability of datasets and machine learning models. The AI Explainability 360 Python package includes a comprehensive set of algorithms that cover different dimensions of explanations along with proxy explainability metrics. The AI Explainability 360 toolkit supports tabular, text, images, and time series data.

Home page for this solution: https://aix360.res.ibm.com/

Overview#

Key

Value

Name

AIX360

Description

Interpretability and explainability of data and machine learning models

License

Apache License 2.0

Programming Language

Python

Created

2019-07-11

Last update

2025-02-26

Github Stars

1677

Project Home Page

https://aix360.res.ibm.com/

Code Repository

Trusted-AI/AIX360

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Note:

  • Created date is date that repro is created on Github.com.

  • Last update: Last update of repository on Github found on Apr 07, 2025.

  • Do not attach a wrong value to github stars. Its a vanity metric! Stars count are misleading and don’t indicate if the SBB is high-quality or very popular.