markdtw/awesome-architecture-search resource
A curated list of awesome architecture search resources observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
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: 3201
- days_rel: n/a
- days_push: 2178
- n_releases_24m: 0
Adoption not part of the score
1190 stars · 198 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 neural architecture search and hyper-parameter optimization resources, including papers and code links organized by technique such as reinforcement learning and evolutionary algorithms. It serves as a reference index rather than runnable software.
Use cases
- find papers on neural architecture search
- learn about NAS with reinforcement learning
- discover hyper-parameter optimization resources
- find ENAS and NASNet implementations
- survey evolutionary algorithm approaches to architecture search
- get started with automated neural network design
When to choose
- you need a reading list of NAS papers and code
- you are researching automated neural architecture design
- you want a quick overview of hyper-parameter optimization methods
When to avoid
- you need a runnable NAS tool or library
- you need actively maintained resources after 2020
- you want tutorials rather than paper links
Facets
learning-resource · maturity maintenance
machine-learning deep-learning machine-learning deep-learning awesome-lists tutorials awesome-list neural-architecture-search hyperparameter-optimization curated-resources papers
1 source
- readme: https://github.com/markdtw/awesome-architecture-search · fetched 2026-08-28 · 42076c72627c
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| markdtw/awesome-architecture-search | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="markdtw/awesome-architecture-search")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem