Awesome-AutoDL
Curated list of automated deep learning resources covering AutoDL, NAS, HPO
GraphCanon updated 2w · GitHub synced 2w
Decision brief
A curated list of resources and links for Automated Deep Learning including AutoDL, NAS, HPO techniques.
Good fit when
- Use this resource when you require an exhaustive compilation of AutoDL tools that include Hyper-parameter Optimization (HPO) and Neural Architecture Search (NAS).
- You should use Awesome-AutoDL if your research or project benefits from a thorough literature review on recent advancements in Automated Deep Learning technology.
Avoid when
- Avoid using Awesome-AutoDL if you are looking for hands-on code implementation examples or tutorials specific to each tool mentioned.
- Do not rely on this repository alone for practical use cases in AutoDL without further investigation into the individual libraries listed, as it primarily serves as a reference guide.
Observed Jul 17, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Dormant (1408d since push)
- As of 2w
- Provenance
- Not a fork · Personal account
- As of 2w
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install Awesome-AutoDLSimilar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Provides links to libraries, benchmark information, and surveys related to Automated Deep Learning including neural architecture search and hyper-parameter optimization techniques.
Capability facts
- Languages
- python
Source: github.language · Aug 4, 2026
Categories
Tags
README
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.
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
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
Awesome Benchmarks
For agents
This page has a .md twin and JSON over the API.