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Top 10 open-source products relevant to Machine Learning and Image Analysis

  1. scikit-image is a collection of algorithms for image processing.

    Open Source

    /scikit-image-alternatives

  2. SimpleCV is an open source framework for building computer vision applications.

    Open Source

    /simplecv-alternatives

  3. TFlearn is a modular and transparent deep learning library built on top of Tensorflow.

    Open Source

    /tflearn-alternatives
  4. D

    Darknet is an open source neural network framework written in C and CUDA.

    Open Source

    /darknet-alternatives

  5. Caffe is an open source, deep learning framework.

    Open Source

    /caffe-alternatives

  6. ConvNetJS is a Javascript library for training Deep Learning models (Neural Networks) entirely in a browser.

    Open Source

    /convnetjs-alternatives

  7. Chainer is a flexible and intuitive framework for Neural Networks.

    Open Source

    /chainer-alternatives

  8. BrainCore is a simple but fast neural network framework written in Swift.

    Open Source

    /braincore-alternatives

  9. Built with a variety of languages to maximise performance, Dagpi is fast and reliable.Powered by powerful networking APIs, Dagpi saves you from having to run resource intensive image manipulation on your own hardware.

    Open Source

    /dagpi-api-alternatives

  10. AIToolbox is a toolbox of AI modules written in Swift.

    Open Source

    /aitoolbox-alternatives

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