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melodyguan/enas

TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing" observed · 2026-08-28

github.com/melodyguan/enas · homepage · Python · Apache-2.0 (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: 3113
  • days_rel: n/a
  • days_push: 2633
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1578 stars · 383 forks observed · 2026-08-28

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

Authors' TensorFlow implementation of Efficient Neural Architecture Search (ENAS), which discovers neural network architectures via parameter sharing and policy-gradient training of a controller. It includes experiments for CIFAR-10 image classification (macro and micro search spaces) and Penn Treebank language modeling, though the PTB implementation is known to be incorrect.

Use cases

  • search for neural network architectures automatically
  • run ENAS experiments on CIFAR-10
  • reproduce the ENAS paper results
  • study neural architecture search with parameter sharing
  • learn how NAS controllers are trained with policy gradient

When to choose

  • you want to reproduce or study the ENAS paper's CIFAR-10 experiments
  • you need a reference implementation of parameter-sharing NAS
  • you are researching neural architecture search methods

When to avoid

  • you need the Penn Treebank language modeling implementation (it is erroneous; use the corrected google-research version)
  • you need a maintained, production-ready NAS framework
  • you use PyTorch or modern TensorFlow versions

Facets

library · maturity maintenance

machine-learning deep-learning machine-learning deep-learning computer-vision python neural-architecture-search tensorflow enas research-code reinforcement-learning natural-language-processing gpu

6 sources

Member repositories

RepositoryRoleHealth v2
melodyguan/enasmain32

For agents

markdown · JSON · MCP: product_card(name="melodyguan/enas")

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