gia-uh/automl-survey
An (in-progress) AutoML survey focusing on practical systems.
This project offers a living, community-driven guide to practical AutoML systems, designed for those who want to use machine learning without deep expertise. It takes information about various AutoML software tools, including their features, user interfaces, and target domains, and provides clear, structured descriptions. Data scientists, machine learning engineers, and researchers can use this resource to understand and compare existing AutoML solutions.
No commits in the last 6 months.
Use this if you need to quickly understand the capabilities and limitations of different AutoML platforms and systems available today.
Not ideal if you are looking for a deep theoretical dive into specific AutoML algorithms or an implementation guide for building your own AutoML system from scratch.
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16
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3
Language
Python
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Last pushed
Oct 05, 2021
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