kaishengtai/neuralart
An implementation of the paper 'A Neural Algorithm of Artistic Style'. 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: 4021
- days_rel: n/a
- days_push: 3468
- n_releases_24m: 0
Adoption not part of the score
2397 stars · 341 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A Torch7 (Lua) implementation of the paper 'A Neural Algorithm of Artistic Style' for neural style transfer, applying the style of one image to the content of another using VGG or Inception networks. It runs as a script with GPU (CUDA) or CPU optimization.
Use cases
- apply the style of a painting to a photo
- generate starry night style images of my own pictures
- run neural style transfer on the command line
- experiment with Gatys style transfer algorithm
- create stylized images using VGG-19 or Inception
When to choose
- you want a classic Gatys-style neural style transfer implementation in Torch7
- you have a CUDA GPU and a Torch7 environment already set up
When to avoid
- you want a maintained tool or modern PyTorch/TensorFlow support
- you need fast real-time style transfer rather than per-image optimization
- you cannot install the deprecated Torch7 ecosystem
Facets
cli-tool · maturity abandoned
machine-learning deep-learning image-processing deep-learning image-processing computer-vision cli neural-style-transfer torch7 vgg inception style-transfer linux macos gpu
1 source
- readme: https://github.com/kaishengtai/neuralart · fetched 2026-08-28 · a808b9aa3c6a
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| kaishengtai/neuralart | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="kaishengtai/neuralart")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem