A curated list of awesome responsible machine learning resources.
Explore a collection of resources focused on responsible AI and machine learning practices.
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awesome-machine-learning-interpretability has 4k stars on GitHub. It has been forked 629 times. It has been in active development since 2018. awesome-machine-learning-interpretability is available under the CC0-1.0 license. Its main topics are ai-safety, awesome, awesome-list, data-science.
A curated list of awesome responsible machine learning resources.
awesome-machine-learning-interpretability is an open-source project. It is released under the CC0-1.0 license.
Yes. awesome-machine-learning-interpretability is free and open source — you can use, modify and self-host it.
awesome-machine-learning-interpretability is available under the CC0-1.0 license.
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