dailab/MAXi-XAI-lib
A model-agnostic library for generating explanations of machine learning predictions, supporting diverse XAI methods like CEM and LIME.
This is a tool for machine learning engineers and data scientists who need to understand why their AI models make certain predictions. You feed in your existing machine learning model and its predictions, and it outputs explanations for those predictions, helping you interpret complex model behavior in real-world scenarios.
Use this if you are a machine learning engineer or data scientist looking to generate clear, interpretable explanations for the predictions of any machine learning model you've built, regardless of its type or complexity.
Not ideal if you are a non-technical end-user who needs ready-made explanations without any coding or integration effort.
Stars
9
Forks
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Language
Jupyter Notebook
License
MIT
Last pushed
Mar 09, 2026
Commits (30d)
0
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