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jphall663/awesome-machine-learning-interpretability

A curated list of awesome responsible machine learning resources.

Last commit Jun 3, 2026

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jphall663/jsm_2018_paperTeX

Paper for 2018 Joint Statistical Meetings: https://ww2.amstat.org/meetings/jsm/2018/onlineprogram/AbstractDetails.cfm?abstractid=329539

Last commit Dec 7, 2018

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jphall663/responsible_xaiJupyter Notebook

Guidelines for the responsible use of explainable AI and machine learning.

Last commit Jan 30, 2023

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jphall663/xai_misconceptionsJupyter Notebook

Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!

Last commit Jul 13, 2019

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