jayleicn/animeGAN resource
A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing. observed · 2026-08-28
Health v2 · maintenance only
23/100
- Activity 0
- Release rhythm 8
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3473
- days_rel: n/a
- days_push: 1470
- n_releases_24m: 0
Adoption not part of the score
1277 stars · 196 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A simple PyTorch implementation of DCGAN focused on generating anime face images, including a pretrained model and Jupyter notebook demos. It also provides a cleaned dataset of ~115,000 anime face images collected from Danbooru with face detection cropping.
Use cases
- generate anime face images with a GAN
- learn how to train DCGAN in PyTorch
- download a large anime face dataset
- experiment with latent space interpolation
- reproduce an anime image generation pipeline from scraping to training
When to choose
- you want a minimal, readable GAN implementation to learn from
- you need an anime face dataset for generative model experiments
- you want pretrained DCGAN weights to play with in a notebook
When to avoid
- you need production-quality or high-resolution image generation
- you want the latest GAN architectures like StyleGAN or diffusion models
- you need commercial use of the dataset (non-commercial only)
Facets
learning-resource · maturity maintenance
machine-learning image-processing data-generation deep-learning image-processing artificial-intelligence python gan dcgan pytorch anime-faces dataset jupyter-notebook
1 source
- readme: https://github.com/jayleicn/animeGAN · fetched 2026-08-28 · af858dcbf7a1
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| jayleicn/animeGAN | main | 23 |
For agents
markdown · JSON · MCP: product_card(name="jayleicn/animeGAN")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem