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4 repositories

explainx
Public
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]
machine-learning scikit-learn transparency blackbox bias interpretability explainable-artificial-intelligence interpretable-ai explainable-ai explainable-ml
Jupyter Notebook
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MIT License
•54•420•2•4•Updated Aug 21, 2024Aug 21, 2024
Visual-Counterfactuals
Public
A visual counterfactual explanation of predictions by machine learning models. Work adapted from https://arxiv.org/abs/2003.02428.
Python
•2•3•0•0•Updated Jan 13, 2021Jan 13, 2021
Surrogate-Rule-Exploration-Method
Public
Easily explain the behavior of machine learning models using decision rules generated by decision trees. Work adapted from https://github.com/nyuvis/SuRE
JavaScript
•3•3•0•0•Updated Oct 19, 2020Oct 19, 2020
PyCEbox
Public
⬛ Python Individual Conditional Expectation Plot Toolbox
Jupyter Notebook
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MIT License
•35•0•0•0•Updated May 29, 2020May 29, 2020