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 |
2025-03-27 |
Github Stars |
1674 |
Project Home Page |
|
Code Repository |
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OpenSSF Scorecard |
Note:
Created date is date that repro is created on Github.com.
Last update is only the last date I run an automatic check.
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.