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Dev tools · alternatives · 2026

24 alternatives to Fast Style Transfer in TensorFlow

TensorFlow CNN for fast style transfer ⚡🖥🎨🖼. Contribute to lengstrom/fast-style-transfer development by creating an account on GitHub.

Fast Style Transfer in TensorFlow is a tool that applies artistic styles to images and videos using neural networks. Developed as open-source software, it enables users to transform photos with the visual… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Fast Style Transfer in TensorFlow launched in 2016; newer entries below may have overtaken it.

  1. 1

    Demo of in-browser Fast Neural Style Transfer with deeplearn.js library - reiinakano/fast-style-transfer-deeplearnjs

    2017 · github.com · its alternatives →

  2. 2

    Arbitrary style transfer using TensorFlow.js. Contribute to reiinakano/arbitrary-image-stylization-tfjs development by creating an account on GitHub.

    2018 · github.com · its alternatives →

  3. 3

    Using deep learning for artistic style transfer

    2016 · its alternatives →

  4. 4

    Open-source machine learning library by Google

    2017 · tensorflow.org · its alternatives →

  5. 5NN

    Free to use online neural network photo to painting generator.

    2015 · instapainting.com · its alternatives →

  6. 6

    The best image-to-image style transfer

    2024 · dzine.ai · its alternatives →

  7. 7

    Contribute to matthew-sochor/transfer development by creating an account on GitHub.

    2018 · github.com · its alternatives →

  8. 8
    Krea 1▲443

    An image model built for style control and moodboards

    2025 · krea.ai · its alternatives →

  9. 9

    First AI with high-quality images in user-uploaded style

    2024 · its alternatives →

  10. 10

    High-performance TensorFlow library for quantitative finance. - google/tf-quant-finance

    2021 · github.com · its alternatives →

  11. 11

    :satellite: Simple and ready-to-use tutorials for TensorFlow - GitHub - instillai/TensorFlow-Course: :satellite: Simple and ready-to-use tutorials for TensorFlow

    2018 · github.com · its alternatives →

  12. 12

    Neural Network to colorize grayscale images. Contribute to pavelgonchar/colornet development by creating an account on GitHub.

    2016 · github.com · its alternatives →

  13. 13

    CNN image style transfer 🎨. Contribute to gsurma/style_transfer development by creating an account on GitHub.

    2018 · github.com · its alternatives →

  14. 14
    Colornet▲341

    Neural Network to colorize grayscale images

    2016 · github.com · its alternatives →

  15. 15II
  16. 16

    Simple and comprehensive tutorials in TensorFlow. Contribute to easy-tensorflow/easy-tensorflow development by creating an account on GitHub.

    2018 · github.com · its alternatives →

  17. 17

    Open-source machine learning library by Google

    2018 · tensorflow.org · its alternatives →

  18. 18

    Developer tools for deep learning & machine learning

    2019 · wandb.ai · its alternatives →

  19. 19AL

    Hi HN - this is a little side project I threw together. Some implementation details: image processing is all done with headless GIMP (running inside a Docker container) through its built-in Python API. It's _very_ slow (about 50 seconds/image), and currently it processes exactly one image at a time. The website is built with NextJS; payments are processed by Stripe. I've had the best results with pictures of houses, although certain photos of people or nature can look neat, too. (For example: https://brushify.art/s/ruYmQWk, original photo from…

    2022 · brushify.art · its alternatives →

  20. 20ID
  21. 21
  22. 22

    TensorFlow implementation for audio neural style. Contribute to DmitryUlyanov/neural-style-audio-tf development by creating an account on GitHub.

    2016 · github.com · its alternatives →

  23. 23

    Blazing-fast in-browser neural networks

    2017 · tenso.rs · its alternatives →

  24. 24

    Paint artistic patterns using random neural network

    2016 · github.com · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →