Awesome AutoDL

A curated list of automated deep learning related resources. Inspired by awesome-deep-vision, awesome-adversarial-machine-learning, awesome-deep-learning-papers, and awesome-architecture-search.

Please feel free to pull requests or open an issue to add papers.

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Table of Contents

• Awesome Blogs
• Awesome AutoDL Libraies
• Awesome Benchmarks
• Deep Learning-based NAS and HPO
  • 2021 Venues
  • 2020 Venues
  • 2019 Venues
  • 2018 Venues
  • 2017 Venues
  • Previous Venues
  • arXiv
• Awesome Surveys

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Awesome Blogs

• AutoML info and AutoML Freiburg-Hannover
• What’s the deal with Neural Architecture Search?
• Google Could AutoML and PocketFlow
• AutoML Challenge and AutoDL Challenge
• In Defense of Weight-sharing for Neural Architecture Search: an optimization perspective

Awesome AutoDL Libraies

• PyGlove
• NASLib
• Keras Tuner
• NNI
• AutoGluon
• Auto-PyTorch
• AutoDL-Projects
• aw_nas
• Determined
• TPOT

Awesome Benchmarks

Title	Venue	Code
NAS-Bench-101: Towards Reproducible Neural Architecture Search	ICML 2019	GitHub
NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search	ICLR 2020	Github
NAS-Bench-301 and the Case for Surrogate Benchmarks for Neural Architecture Search	arXiv 2020	GitHub
NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search	ICLR 2020	GitHub
NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size	TPAMI 2021	GitHub
NAS-Bench-ASR: Reproducible Neural Architecture Search for Speech Recognition	ICLR 2021	GitHub
HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark	ICLR 2021	GitHub
NAS-Bench-NLP: Neural Architecture Search Benchmark for Natural Language Processing	arXiv 2020	GitHub
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