# titu1994/Neural-Style-Transfer

Keras Implementation of Neural Style Transfer from the paper "A Neural Algorithm of Artistic Style" (http://arxiv.org/abs/1508.06576) in Keras 2.0+

Repository: https://github.com/titu1994/Neural-Style-Transfer
Canonical: https://ross.abutalabs.com/products/neural-style-transfer
Language: Jupyter Notebook
License: Apache-2.0
License Family: permissive
Last push: 2023-02-13T22:21:20+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 3770, "days_push": 1297, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2287, forks 478 (observed 2026-08-28T04:06:34.723565+00:00)

## What it is
A Keras 2.0+ implementation of Neural Style Transfer from the paper 'A Neural Algorithm of Artistic Style', with improvements like INetwork, color preservation, and masked style transfer. It includes scripts, a guide, and Colab notebook support for applying artistic styles to images.

## Use cases
- apply artistic style to a photo
- neural style transfer in keras
- reproduce the Gatys style transfer paper
- stylize images with deep learning
- masked style transfer with masks
- preserve colors during style transfer

## When to choose
- you want a Keras-based implementation of the original neural style transfer algorithm
- you need improvements like color preservation or masked style transfer
- you want to run style transfer quickly in Google Colab with a GPU

## When to avoid
- you need fast, real-time or feed-forward style transfer models
- you work outside the Keras/TensorFlow or Theano ecosystem
- you need actively maintained code with recent framework compatibility

## Facets
- artifact type: library
- maturity: maintenance
- function: image-processing, deep-learning, machine-learning
- domain: deep-learning, image-processing, artificial-intelligence
- platform: python, cross-platform
- tags: neural-style-transfer, keras, tensorflow, computer-graphics, research-code, jupyter-notebook, gpu

## Member repositories
- titu1994/Neural-Style-Transfer (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:34.723565+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 2026-08-30T02:40:52.944953+00:00, confidence not recorded.
  - readme: https://github.com/titu1994/Neural-Style-Transfer (fetched 2026-08-28T04:06:34.723565+00:00, sha 371cb9189b35)
- Data as of 2026-08-30T08:39:29.467469+00:00.