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D-X-Y/Awesome-AutoDL

A curated collection of papers, libraries, benchmarks, and surveys on automated deep learning and neural architecture search.

2.3k stars Python Learning
Awesome-AutoDL
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This repository is an organized awesome list of resources focused on Automated Deep Learning (AutoDL) and Neural Architecture Search (NAS). It categorizes research by publication year, includes links to prominent AutoML libraries like PyGlove, AutoKeras, and NNI, references relevant benchmarks, and provides survey links. The repository serves as a reference index for practitioners and researchers exploring hyperparameter optimization and architecture search methods.

Frequently asked

What is D-X-Y/Awesome-AutoDL?
A curated collection of papers, libraries, benchmarks, and surveys on automated deep learning and neural architecture search.
Is Awesome-AutoDL open source?
Yes — D-X-Y/Awesome-AutoDL is open source, released under the MIT license.
What language is Awesome-AutoDL written in?
D-X-Y/Awesome-AutoDL is primarily written in Python.
How popular is Awesome-AutoDL?
D-X-Y/Awesome-AutoDL has 2.3k stars on GitHub.
Where can I find Awesome-AutoDL?
D-X-Y/Awesome-AutoDL is on GitHub at https://github.com/D-X-Y/Awesome-AutoDL.

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