H2O
H2O

73
111
+ 1
0
PredictionIO
PredictionIO

57
80
+ 1
5
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H2O vs PredictionIO: What are the differences?

H2O: H2O.ai AI for Business Transformation. H2O.ai is the maker behind H2O, the leading open source machine learning platform for smarter applications and data products. H2O operationalizes data science by developing and deploying algorithms and models for R, Python and the Sparkling Water API for Spark; PredictionIO: Open Source Machine Learning Server. PredictionIO is an open source machine learning server for software developers to create predictive features, such as personalization, recommendation and content discovery.

H2O and PredictionIO can be primarily classified as "Machine Learning" tools.

H2O and PredictionIO are both open source tools. PredictionIO with 11.8K GitHub stars and 1.92K forks on GitHub appears to be more popular than H2O with 4.15K GitHub stars and 1.51K GitHub forks.

Badgeville, BlueData, and Shaw Academy are some of the popular companies that use H2O, whereas PredictionIO is used by 500 Startups, Betaout, and Tokopedia. H2O has a broader approval, being mentioned in 7 company stacks & 5 developers stacks; compared to PredictionIO, which is listed in 5 company stacks and 5 developer stacks.

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    What is H2O?

    H2O.ai is the maker behind H2O, the leading open source machine learning platform for smarter applications and data products. H2O operationalizes data science by developing and deploying algorithms and models for R, Python and the Sparkling Water API for Spark.

    What is PredictionIO?

    PredictionIO is an open source machine learning server for software developers to create predictive features, such as personalization, recommendation and content discovery.
    What companies use H2O?
    What companies use PredictionIO?

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    What tools integrate with H2O?
    What tools integrate with PredictionIO?
      No integrations found
      What are some alternatives to H2O and PredictionIO?
      TensorFlow
      TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
      DataRobot
      It is an enterprise-grade predictive analysis software for business analysts, data scientists, executives, and IT professionals. It analyzes numerous innovative machine learning algorithms to establish, implement, and build bespoke predictive models for each situation.
      scikit-learn
      scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
      Keras
      Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
      PyTorch
      PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.
      See all alternatives
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