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jphall663/awesome-machine-learning-interpretability

A curated list of awesome responsible machine learning resources.

Letzter Commit 3. Juni 2026

 (4.041 Stars) (629 Forks) (0 indexierte Issues) (0 offene good first issues)
jphall663/jsm_2018_paperTeX

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

Letzter Commit 7. Dez. 2018

 (9 Stars) (2 Forks) (0 indexierte Issues) (0 offene good first issues)
jphall663/responsible_xaiJupyter Notebook

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

Letzter Commit 30. Jan. 2023

 (17 Stars) (6 Forks) (0 indexierte Issues) (0 offene good first issues)
jphall663/xai_misconceptionsJupyter Notebook

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

Letzter Commit 13. Juli 2019

 (29 Stars) (6 Forks) (0 indexierte Issues) (0 offene good first issues)