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Top 10 open-source products relevant to Machine Learning and OCR

  1. Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

    Open Source

    /keras-alternatives

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

    Open Source

    /scikit-image-alternatives

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

    Open Source

    /simplecv-alternatives

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

    Open Source

    /tflearn-alternatives
  5. D

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

    Open Source

    /darknet-alternatives

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

    Open Source

    /caffe-alternatives

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

    Open Source

    /convnetjs-alternatives

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

    Open Source

    /chainer-alternatives

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

    Open Source

    /braincore-alternatives

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

    Open Source

    /aitoolbox-alternatives

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