Ross ROSS = Recommend OSS · open-source software intelligence for agents

D-X-Y/Awesome-AutoDL resource

Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis) observed · 2026-08-28

github.com/D-X-Y/Awesome-AutoDL · Python · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 2879
  • days_rel: n/a
  • days_push: 1438
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

2342 stars · 318 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated awesome-list of automated deep learning (AutoDL) resources, covering neural architecture search, hyperparameter optimization, libraries, benchmarks, blogs, and surveys. It also includes an in-depth analysis of the field and a companion PyPI package for paper analysis.

Use cases

  • find papers on neural architecture search
  • learn about automated deep learning
  • discover NAS benchmark datasets
  • compare AutoML libraries like NNI and AutoGluon
  • research hyperparameter optimization methods
  • find surveys on AutoDL

When to choose

  • you need a starting point for researching NAS or AutoML
  • you want a curated bibliography of AutoDL papers by venue and year
  • you are looking for NAS benchmarks and libraries

When to avoid

  • you need a runnable AutoML tool rather than a resource list
  • you need actively maintained NAS benchmarks (last release 2022)
  • you want production AutoML functionality out of the box

Facets

learning-resource · maturity maintenance

machine-learning deep-learning developer-tools deep-learning machine-learning awesome-lists tutorials python cross-platform awesome-list neural-architecture-search nas automl hyperparameter-optimization curated-resources papers

2 sources

Member repositories

RepositoryRoleHealth v2
D-X-Y/Awesome-AutoDLmain32

For agents

markdown · JSON · MCP: product_card(name="D-X-Y/Awesome-AutoDL")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem