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Comet.ml

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35
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3
ML Kit

129
193
+ 1
0
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Comet.ml vs ML Kit: What are the differences?

What is Comet.ml? Track, compare and collaborate on Machine Learning experiments. Comet.ml allows data science teams and individuals to automagically track their datasets, code changes, experimentation history and production models creating efficiency, transparency, and reproducibility.

What is ML Kit? Machine learning for mobile developers (by Google). ML Kit brings Google’s machine learning expertise to mobile developers in a powerful and easy-to-use package.

Comet.ml and ML Kit belong to "Machine Learning Tools" category of the tech stack.

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Pros of Comet.ml
Pros of ML Kit
  • 3
    Best tool for comparing experiments
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    What is Comet.ml?

    Comet.ml allows data science teams and individuals to automagically track their datasets, code changes, experimentation history and production models creating efficiency, transparency, and reproducibility.

    What is ML Kit?

    ML Kit brings Google’s machine learning expertise to mobile developers in a powerful and easy-to-use package.

    Need advice about which tool to choose?Ask the StackShare community!

    What companies use Comet.ml?
    What companies use ML Kit?
    See which teams inside your own company are using Comet.ml or ML Kit.
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    What tools integrate with Comet.ml?
    What tools integrate with ML Kit?
      No integrations found

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      What are some alternatives to Comet.ml and ML Kit?
      MLflow
      MLflow is an open source platform for managing the end-to-end machine learning lifecycle.
      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/
      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.
      scikit-learn
      scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
      See all alternatives