Software Alternatives & Reviews

Microsoft Cognitive Toolkit (Formerly CNTK)

Machine Learning

Microsoft Cognitive Toolkit (Formerly CNTK) Alternatives

The best Microsoft Cognitive Toolkit (Formerly CNTK) alternatives based on verified products, community votes, reviews and other factors.
Latest update:

  1. 23

    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. 20

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

    Open Source

    /tflearn-alternatives
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  4. 19
    /clarifai-alternatives
  5. 21

    DeepPy is a MIT licensed deep learning framework that tries to add a touch of zen to deep learning as it allows for Pythonic programming.

    /deeppy-alternatives
  6. 17

    Knet is a deep learning framework that supports GPU operation and automatic differentiation using dynamic computational graphs for models.

    /knet-alternatives
  7. 19

    Merlin is a deep learning framework written in Julia, it aims to provide a fast, flexible and compact deep learning library for machine learning.

    /merlin-alternatives
  8. 16

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

    Open Source

    /convnetjs-alternatives
  9. 12

    Swift Brain is a neural network / machine learning library written in Swift for AI algorithms.

    /swift-brain-alternatives
  10. 12

    See sharks everywhere with this AR app 🦈

    /shark-alternatives
  11. 10

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

    Open Source

    /braincore-alternatives
  12. 10

    Chainer is a flexible and intuitive framework for Neural Networks.

    Open Source

    /chainer-alternatives
  13. 12

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

    Open Source

    /darknet-alternatives
  14. 10

    MLKit is a simple machine learning framework written in Swift.

    Open Source

    /mlkit-alternatives
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