Neural architecture search: Difference between revisions

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# NAS-Bench-Suite<ref>Mehta, Y., White, C., Zela, A., Krishnakumar, A., Zabergja, G., Moradian, S., ... & Hutter, F. (2022). NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy. arXiv preprint arXiv:2201.13396.</ref>

# HW-NAS-Bench <ref>Li, C., Yu, Z., Fu, Y., Zhang, Y., Zhao, Y., You, H., ... & Lin, Y. (2021). HW-NAS-Bench: Hardware-aware neural architecture search benchmark. arXiv preprint arXiv:2103.10584.</ref>

== Neural Architecture Search Libraries ==

There are multiple open-source NAS libraries to simplify the everyday use of NAS methods. These libraries aid NAS experts and researchers who would be interested in improving upon existing methods. Further these libraries also help machine learning experts apply NAS methods to new problem domains.

# NASLib <ref>{{Cite web |title=NASLib |url=https://github.com/automl/NASLib/}}</ref>

# DeepArchitect <ref>{{Cite web |title=DeepArchitect |url=https://github.com/negrinho/deep_architect}}</ref>

# Archai <ref>{{Cite web |title=Archai |url=https://github.com/microsoft/archai}}</ref>

# AWS-NAS <ref>{{Cite web |title=Awsnas |url=https://github.com/walkerning/aw_nas}}</ref>

==See also==