Open source colorizing grayscale images with NN
Neural Network to colorize grayscale images. Contribute to pavelgonchar/colornet development by creating an account on GitHub.
Open source colorizing grayscale images with NN launched on April 21, 2016 with 219 votes, #98 of 4,301 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 10 years on.
In plain words
Colornet is an open-source neural network tool that automatically adds color to grayscale images. It uses machine learning to predict and apply realistic colors to black-and-white photographs. The project is hosted on GitHub and welcomes contributions from developers interested in improving the colorization process.
written from the facts on this page · September 2026
Does a similar job
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Colormind – Color schemes via Generative Adversarial Networks2017 · colormind.io · ▲399Generate color combinations in one click. Colormind creates cohesive color schemes using a deep neural net.
- UDUse Deep Learning to Automatically Colorize Black and White Photos2019 · demos.algorithmia.com · ▲48
Huemint – Machine learning for color design2022 · huemint.com · ▲335
I made a new AI colorizer2022 · palette.fm · ▲472Hi HN, I’m Emil, the maker behind Palette. I’ve been tinkering with AI and colorization for about five years. This is my latest colorization model. It’s a text-based AI colorizer, so you can edit the colorizations with natural language. To make it easier to use, I also automatically create captions and generate filters. Let me know what you think. You can see some of my results on my reddit page: https://www.reddit.com/user/emilwallner/?sort=top

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