# nightrome/really-awesome-gan

A list of papers on Generative Adversarial (Neural) Networks

Repository: https://github.com/nightrome/really-awesome-gan
Canonical: https://ross.abutalabs.com/products/really-awesome-gan
License Family: other
Last push: 2025-08-24T07:57:51+00:00

## Health v2 (maintenance only)
Score: 49/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 38, release rhythm 35, longevity 100
- inputs: {"age_days": 3439, "days_push": 374, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3773, forks 702 (observed 2026-08-28T04:08:18.195187+00:00)

## What it is
A curated list of papers, tutorials, blogs, videos, and code resources on Generative Adversarial Networks (GANs), maintained by Holger Caesar. It is no longer updated with new papers since November 2017 but remains a reference for classic GAN literature.

## Use cases
- find papers on generative adversarial networks
- learn about GAN theory and applications
- find GAN tutorials and blog posts
- discover image-to-image translation research like CycleGAN
- find code implementations of GAN papers

## When to choose
- you need a curated starting point for classic GAN research up to 2017
- you want links to papers, tutorials, and code in one place

## When to avoid
- you need recent GAN papers or current state-of-the-art generative models like diffusion models
- you need maintained or actively updated resources

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation
- domain: deep-learning, machine-learning, artificial-intelligence, tutorials, awesome-lists
- platform: -
- tags: awesome-list, gan, generative-adversarial-networks, papers, research, image-generation, web-server

## Member repositories
- nightrome/really-awesome-gan (main) score 49

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:18.195187+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 2026-08-29T18:27:51.836165+00:00, confidence not recorded.
  - readme: https://github.com/nightrome/really-awesome-gan (fetched 2026-08-28T04:08:18.195187+00:00, sha 6853c60d14ce)
- Data as of 2026-08-30T08:39:29.467469+00:00.