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jphall663/awesome-machine-learning-interpretability

A curated list of awesome responsible machine learning resources.

Último commit 3 de jun. de 2026

 (4.041 stars) (629 forks) (0 issues indexadas) (0 good first issues abertas)
jphall663/jsm_2018_paperTeX

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

Último commit 7 de dez. de 2018

 (9 stars) (2 forks) (0 issues indexadas) (0 good first issues abertas)
jphall663/responsible_xaiJupyter Notebook

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

Último commit 30 de jan. de 2023

 (17 stars) (6 forks) (0 issues indexadas) (0 good first issues abertas)
jphall663/xai_misconceptionsJupyter Notebook

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

Último commit 13 de jul. de 2019

 (29 stars) (6 forks) (0 issues indexadas) (0 good first issues abertas)