Bender

4
10
+ 1
0
H2O

82
123
+ 1
3
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Bender vs H2O: What are the differences?

What is Bender? A Deep Learning framework for iOS. Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.

What is 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.

Bender and H2O belong to "Machine Learning Tools" category of the tech stack.

Bender and H2O are both open source tools. It seems that H2O with 4.15K GitHub stars and 1.51K forks on GitHub has more adoption than Bender with 1.65K GitHub stars and 87 GitHub forks.

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    Cons of Bender
    Cons of H2O
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      What is Bender?

      Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.

      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 companies use Bender?
      What companies use H2O?

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      What tools integrate with Bender?
      What tools integrate with H2O?
        No integrations found
        What are some alternatives to Bender and H2O?
        Homer
        It is a text analyser in Python, can help make your text more clear, simple and useful for your readers. It provides information on an overall text as well as on individual paragraphs. It gives insights into readability, length of paragraphs, length of sentences, average sentences per paragraph, average words in a sentence, etc. It also tries to identify certain kind of vague words.
        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.
        Keras
        Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
        scikit-learn
        scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
        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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