Software Alternatives & Reviews

Tensor2Tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research. - tensorflow/tensor2tensor subtitle

Top 5 Open-Source Alternatives to Tensor2Tensor

PyTorch TensorFlow Keras MLKit Scikit-learn

Summary

The top open-source alternatives to Tensor2Tensor are PyTorch, TensorFlow, and Keras. One of the criteria for ordering this list is the number of mentions that products have on reliable external sources. You can suggest additional sources through the form here.
  1. Open source deep learning platform that provides a seamless path from research prototyping to...
    Pricing:
    • Open Source

    #Data Science And Machine Learning #Data Science Tools #AI 106 social mentions

  2. TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
    Pricing:
    • Open Source

    #Data Science And Machine Learning #Data Science Tools #AI 7 social mentions

  3. 3
    Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
    Pricing:
    • Open Source

    #Data Science And Machine Learning #Data Science Tools #OCR 31 social mentions

  4. 4
    MLKit is a simple machine learning framework written in Swift.
    Pricing:
    • Open Source

    #Data Science And Machine Learning #Data Science Tools #Python Tools

  5. scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
    Pricing:
    • Open Source

    #Data Science And Machine Learning #Data Science Tools #Python Tools 27 social mentions

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