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Aerosolve

25
72
+ 1
0
Polyaxon

11
61
+ 1
14
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Aerosolve vs Polyaxon: What are the differences?

What is Aerosolve? A machine learning package built for humans (created by Airbnb). This library is meant to be used with sparse, interpretable features such as those that commonly occur in search (search keywords, filters) or pricing (number of rooms, location, price). It is not as interpretable with problems with very dense non-human interpretable features such as raw pixels or audio samples.

What is Polyaxon? An enterprise-grade open source platform for building, training, and monitoring large scale deep learning applications. An enterprise-grade open source platform for building, training, and monitoring large scale deep learning applications.

Aerosolve and Polyaxon can be categorized as "Machine Learning" tools.

Aerosolve is an open source tool with 4.58K GitHub stars and 578 GitHub forks. Here's a link to Aerosolve's open source repository on GitHub.

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Pros of Aerosolve
Pros of Polyaxon
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    • 2
      Cli
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      API
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      Streamlit integration
    • 2
      Python Client
    • 2
      Notebook integration
    • 2
      Tensorboard integration
    • 2
      VSCode integration

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    What is Aerosolve?

    This library is meant to be used with sparse, interpretable features such as those that commonly occur in search (search keywords, filters) or pricing (number of rooms, location, price). It is not as interpretable with problems with very dense non-human interpretable features such as raw pixels or audio samples.

    What is Polyaxon?

    An enterprise-grade open source platform for building, training, and monitoring large scale deep learning applications.

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    What companies use Aerosolve?
    What companies use Polyaxon?
    See which teams inside your own company are using Aerosolve or Polyaxon.
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    What tools integrate with Aerosolve?
    What tools integrate with Polyaxon?
      No integrations found

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      What are some alternatives to Aerosolve and Polyaxon?
      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.
      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.
      Keras
      Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
      CUDA
      A parallel computing platform and application programming interface model,it enables developers to speed up compute-intensive applications by harnessing the power of GPUs for the parallelizable part of the computation.
      See all alternatives