# nashory/gans-awesome-applications

Curated list of awesome GAN applications and demo

Repository: https://github.com/nashory/gans-awesome-applications
Canonical: https://ross.abutalabs.com/products/gans-awesome-applications
License: CC0-1.0
License Family: permissive
Topics: generative-adversarial-network, curated-list, applications, demonstration, papers, github
Last push: 2026-06-08T10:40:14+00:00

## Health v2 (maintenance only)
Score: 71/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 86, release rhythm 35, longevity 100
- inputs: {"age_days": 3247, "days_push": 86, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 5102, forks 814 (observed 2026-08-28T04:09:09.785113+00:00)

## What it is
A curated awesome-list of applications and demonstrations built with Generative Adversarial Networks (GANs), organized by use case such as font generation, anime characters, face stylization, and text-to-image. It links to papers, code, demos, videos, and blogs, excluding pure model/theory papers.

## Use cases
- find GAN applications for image generation
- discover papers and code for face stylization with GANs
- look up text-to-image GAN projects
- find demos of anime character generation
- research GAN use cases before building a generative model
- find landmark GAN papers and reference implementations

## When to choose
- you want a curated, categorized index of GAN applications and demos
- you need quick links to papers, code, and demos for a specific GAN use case
- you want landmark GAN papers with reference implementations

## When to avoid
- you need a runnable library or framework rather than a link list
- you are looking for diffusion-model-only resources
- you need GAN theory or loss-function papers, which are out of scope

## Facets
- artifact type: learning-resource
- maturity: active
- function: machine-learning, deep-learning, image-processing, documentation
- domain: deep-learning, machine-learning, artificial-intelligence, image-processing, awesome-lists
- platform: cross-platform
- tags: awesome-list, gan, generative-adversarial-networks, curated-list, papers, demos, image-generation

## Member repositories
- nashory/gans-awesome-applications (main) score 71

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:09.785113+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:02:12.344621+00:00, confidence not recorded.
  - readme: https://github.com/nashory/gans-awesome-applications (fetched 2026-08-28T04:09:09.785113+00:00, sha 920a74684a14)
- Data as of 2026-08-30T08:39:29.467469+00:00.