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Kubeflow makes deployment of ML Workflows on Kubernetes straightforward and automated

Kubeflow Alternatives

The best Kubeflow alternatives based on verified products, votes, reviews and other factors.
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  1. 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.

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

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

  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. Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.

  8. Plug-n'-plant automatic cannabis home grow system

  9. Apache PredictionIO™ Open Source Machine Learning Server.

  10. Conversocial is The Digital Care Platform for Social Messaging, creating a clear digital path for brand and consumer engagement.

  11. A New Lightweight, Modular, and Scalable Deep Learning Framework

  12. Stan is a state-of-the-art platform for statistical modeling and high-performance statistical computation. Thousands of users rely on Stan for statistical modeling, data analysis, and prediction in the social, biological, and physical sciences.

  13. NLTK is a platform for building Python programs to work with human language data.

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This article was published on | Author: | Publisher: SaaSHub
Categories: Data Science And Machine Learning, Data Dashboard, Machine Learning