Ross ROSS = Recommend OSS · open-source software intelligence for agents

aitorzip/PyTorch-CycleGAN

A clean and readable Pytorch implementation of CycleGAN observed · 2026-08-28

github.com/aitorzip/PyTorch-CycleGAN · homepage · Python · GPL-3.0 (copyleft) 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: 3187
  • days_rel: n/a
  • days_push: 1596
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1319 stars · 297 forks observed · 2026-08-28

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

A clean, readable PyTorch implementation of CycleGAN for unpaired image-to-image translation using cycle-consistent adversarial networks. It includes training and testing scripts, dataset download helpers, and Visdom-based loss visualization.

Use cases

  • convert photos to paintings in the style of Monet or Van Gogh
  • translate images between two domains without paired training data
  • train a CycleGAN model on my own image dataset
  • perform style transfer with a GAN in PyTorch
  • season or object transfiguration on images
  • learn how CycleGAN is implemented from readable code

When to choose

  • you want a minimal, readable CycleGAN reference implementation in PyTorch
  • you have unpaired image sets from two domains and want to learn the translation
  • you want to experiment with or extend CycleGAN hyperparameters

When to avoid

  • you need paired image-to-image translation (use pix2pix instead)
  • you need a production-ready, actively maintained pipeline
  • you need a no-code or GUI tool for image style transfer

Facets

library · maturity maintenance

machine-learning deep-learning image-processing computer-vision graphics deep-learning computer-vision image-processing artificial-intelligence python cross-platform cyclegan gan pytorch image-to-image-translation style-transfer unpaired-data generative-models gpu

6 sources

Member repositories

RepositoryRoleHealth v2
aitorzip/PyTorch-CycleGANmain32

For agents

markdown · JSON · MCP: product_card(name="aitorzip/PyTorch-CycleGAN")

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