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Leaf

21
42
+ 1
0
Polyaxon

11
65
+ 1
14
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Leaf vs Polyaxon: What are the differences?

Leaf: Machine learning framework in Rust. Leaf is a Machine Intelligence Framework engineered by software developers, not scientists. It was inspired by the brilliant people behind TensorFlow, Torch, Caffe, Rust and numerous research papers and brings modularity, performance and portability to deep learning. Leaf is lean and tries to introduce minimal technical debt to your stack; 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.

Leaf and Polyaxon can be primarily classified as "Machine Learning" tools.

Leaf is an open source tool with 5.4K GitHub stars and 270 GitHub forks. Here's a link to Leaf's open source repository on GitHub.

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

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    What is Leaf?

    Leaf is a Machine Intelligence Framework engineered by software developers, not scientists. It was inspired by the brilliant people behind TensorFlow, Torch, Caffe, Rust and numerous research papers and brings modularity, performance and portability to deep learning. Leaf is lean and tries to introduce minimal technical debt to your stack.

    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 Leaf?
    What companies use Polyaxon?
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    What tools integrate with Leaf?
    What tools integrate with Polyaxon?

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