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quark0/darts

Differentiable architecture search for convolutional and recurrent networks observed · 2026-08-28

github.com/quark0/darts · 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: 2991
  • days_rel: n/a
  • days_push: 2069
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

3997 stars · 836 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

DARTS is the official PyTorch implementation of the ICLR 2019 paper 'DARTS: Differentiable Architecture Search', which performs neural architecture search via continuous relaxation and gradient descent. It searches convolutional cells for image classification (CIFAR-10, ImageNet) and recurrent cells for language modeling (PTB, WikiText-2), requiring only a single GPU, and ships pretrained models.

Use cases

  • search for a convolutional network architecture for image classification
  • search for a recurrent cell for language modeling
  • run differentiable NAS on a single GPU
  • evaluate pretrained DARTS CNN and RNN models
  • reproduce the DARTS paper experiments
  • learn how gradient-based architecture search works

When to choose

  • you want to reproduce or build on the DARTS paper
  • you need a fast, single-GPU differentiable NAS baseline
  • you want pretrained DARTS cells for CIFAR-10, ImageNet, or PTB

When to avoid

  • you need a maintained production AutoML tool (pinned to PyTorch 0.3.1)
  • you want a general-purpose NAS framework with pluggable search spaces
  • you need support for modern PyTorch versions or recent hardware

Facets

library · maturity maintenance

machine-learning deep-learning deep-learning machine-learning computer-vision python neural-architecture-search automl darts differentiable-search pytorch research-code image-classification language-modeling natural-language-processing gpu

6 sources

Member repositories

RepositoryRoleHealth v2
quark0/dartsmain32

For agents

markdown · JSON · MCP: product_card(name="quark0/darts")

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