# kaishengtai/neuralart

An implementation of the paper 'A Neural Algorithm of Artistic Style'.

Repository: https://github.com/kaishengtai/neuralart
Canonical: https://ross.abutalabs.com/products/neuralart
Language: Lua
License: MIT
License Family: permissive
Last push: 2017-03-05T18:08:54+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4021, "days_push": 3468, "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 2397, forks 341 (observed 2026-08-28T04:06:43.664177+00:00)

## What it is
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
- artifact type: cli-tool
- maturity: abandoned
- function: machine-learning, deep-learning, image-processing
- domain: deep-learning, image-processing, computer-vision
- platform: cli
- tags: neural-style-transfer, torch7, vgg, inception, style-transfer, linux, macos, gpu

## Member repositories
- kaishengtai/neuralart (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:43.664177+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 2026-08-30T02:34:20.372202+00:00, confidence not recorded.
  - readme: https://github.com/kaishengtai/neuralart (fetched 2026-08-28T04:06:43.664177+00:00, sha a808b9aa3c6a)
- Data as of 2026-08-30T08:39:29.467469+00:00.