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

Tensor2Tensor Alternatives

The best Tensor2Tensor alternatives based on verified products, votes, reviews and other factors.
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  1. Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

  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.

  3. scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

  4. Open source deep learning platform that provides a seamless path from research prototyping to...

  5. MLKit is a simple machine learning framework written in Swift.

  6. Select Target Platform Click on the green buttons that describe your target platform.

  7. Kubeflow makes deployment of ML Workflows on Kubernetes straightforward and automated

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This article was published on | Author: | Publisher: SaaSHub
Categories: Application And Data, Application Utilities, Machine Learning Tools