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Propel

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TensorFlow.js

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Propel vs TensorFlow.js: What are the differences?

What is Propel? Machine learning for JavaScript. Propel provides a GPU-backed numpy-like infrastructure for scientific computing in JavaScript.

What is TensorFlow.js? Machine Learning in JavaScript. Use flexible and intuitive APIs to build and train models from scratch using the low-level JavaScript linear algebra library or the high-level layers API.

Propel and TensorFlow.js can be primarily classified as "Machine Learning" tools.

Propel and TensorFlow.js are both open source tools. TensorFlow.js with 11.1K GitHub stars and 801 forks on GitHub appears to be more popular than Propel with 2.81K GitHub stars and 83 GitHub forks.

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Pros of Propel
Pros of TensorFlow.js
    Be the first to leave a pro
    • 6
      Open Source
    • 5
      NodeJS Powered
    • 2
      Deploy python ML model directly into javascript
    • 1
      Cost - no server needed for inference
    • 1
      Privacy - no data sent to server
    • 1
      Runs Client Side on device
    • 1
      Can run TFJS on backend, frontend, react native, + IOT
    • 1
      Easy to share and use - get more eyes on your research

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    What is Propel?

    Propel provides a GPU-backed numpy-like infrastructure for scientific computing in JavaScript.

    What is TensorFlow.js?

    Use flexible and intuitive APIs to build and train models from scratch using the low-level JavaScript linear algebra library or the high-level layers API

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    What companies use Propel?
    What companies use TensorFlow.js?
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