# hibayesian/awesome-automl-papers

A curated list of automated machine learning papers, articles, tutorials, slides and projects

Repository: https://github.com/hibayesian/awesome-automl-papers
Canonical: https://ross.abutalabs.com/products/awesome-automl-papers
License: Apache-2.0
License Family: permissive
Topics: automl, automated-feature-engineering, hyperparameter-optimization, neural-architecture-search
Last push: 2024-06-11T16:51:05+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3208, "days_push": 813, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4154, forks 678 (observed 2026-08-28T04:08:36.520247+00:00)

## What it is
A curated list of automated machine learning (AutoML) papers, articles, tutorials, slides, and projects. It serves as a reference resource covering topics like automated feature engineering, hyperparameter optimization, and neural architecture search.

## Use cases
- find papers on automated machine learning
- learn about hyperparameter optimization techniques
- research neural architecture search methods
- discover AutoML tools and projects
- keep up with the latest AutoML research
- study automated feature engineering

## When to choose
- you need a curated reading list on AutoML topics
- you are researching hyperparameter optimization or NAS
- you want an overview of the AutoML research landscape and industry systems

## When to avoid
- you need runnable AutoML software rather than references
- you need a maintained tool or library for production use
- you need non-English resources

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, documentation
- domain: machine-learning, tutorials, awesome-lists
- platform: cross-platform
- tags: automl, hyperparameter-optimization, neural-architecture-search, papers, curated-list

## Member repositories
- hibayesian/awesome-automl-papers (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:36.520247+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:22:52.800343+00:00, confidence not recorded.
  - readme: https://github.com/hibayesian/awesome-automl-papers (fetched 2026-08-28T04:08:36.520247+00:00, sha 176156df7702)
- Data as of 2026-08-30T08:39:29.467469+00:00.