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AI · alternatives · 2026

24 alternatives to Neural network color recognition

Trains a Hopfield recurrent neural network to recognize colors and uses it to interpret images. - mateogianolio/hopfield-colors

Neural Network Color Recognition trains a Hopfield recurrent neural network to recognize and classify colors, then applies this trained network to interpret images. The tool is designed for developers and researchers… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Neural network color recognition launched in 2015; newer entries below may have overtaken it.

  1. 1
    Colornet▲341

    Neural Network to colorize grayscale images

    2016 · github.com · its alternatives →

  2. 2

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

    2016 · github.com · its alternatives →

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    Generate color combinations in one click. Colormind creates cohesive color schemes using a deep neural net.

    2017 · colormind.io · its alternatives →

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    Neural network OCR. Contribute to mateogianolio/ocr development by creating an account on GitHub.

    2015 · github.com · its alternatives →

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    Can a neural network learn to recognize doodles?

    2016 · quickdraw.withgoogle.com · its alternatives →

  8. 8

    The simplest form of an artificial neural network explained and demonstrated. - GitHub - gokadin/ai-simplest-network: The simplest form of an artificial neural network explained and demonstrated.

    2020 · github.com · its alternatives →

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    Get ideas for your logo design, check your logo for possible issues.

    2017 · brandmark.io · its alternatives →

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    Use Mask R-CNN/Keras/TensorFlow and OSM to find features in satellite images for fun. - jremillard/images-to-osm

    2018 · github.com · its alternatives →

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    The AI color tool for designers.

    2017 · khroma.co · its alternatives →

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    A single / multi layer / recurrent neural network written in Golang. - made2591/go-perceptron-go

    2017 · github.com · its alternatives →

  14. 14NN

    Free to use online neural network photo to painting generator.

    2015 · instapainting.com · its alternatives →

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    Tensorflow implementation of Gated Conditional Pixel Convolutional Neural Network - anantzoid/Conditional-PixelCNN-decoder

    2016 · github.com · its alternatives →

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    Boltzmann Machines in TensorFlow with examples. Contribute to yell/boltzmann-machines development by creating an account on GitHub.

    2017 · github.com · its alternatives →

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    MakeML▲274

    Train Neural Networks without a line of code

    2019 · makeml.app · its alternatives →

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    Colormind▲171

    A deep learning AI tool that knows color theory 🎨

    2017 · colormind.io · its alternatives →

  19. 19GC

    Many important real-world datasets come in the form of graphs or networks: social networks, knowledge graphs, protein-interaction networks, the World Wide Web, etc. (just to name a few). Yet, until recently, very little attention has been devoted to the generalization of neural...

    2016 · tkipf.github.io · its alternatives →

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    Generate ideal color palettes with the power of AI

    2023 · colormagic.app · its alternatives →

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    sketch-rnn model trained to write kanji.

    2018 · otoro.net · its alternatives →

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    Huemint▲173

    AI color palette generator

    2021 · huemint.com · its alternatives →

  23. 23AV

    Discussions: Hacker News (63 points, 8 comments), Reddit r/programming (312 points, 37 comments) Translations: Arabic, French, Spanish Update: Part 2 is now live: A Visual And Interactive Look at Basic Neural Network Math Motivation I’m not a machine learning expert. I’m a software engineer by train

    2016 · jalammar.github.io · its alternatives →

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    Image Processing with Cellular Neural Networks in Python - ankitaggarwal011/PyCNN

    2015 · 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 →