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NumPy-like framework for composable function transformations with automatic differentiation, JIT compilation, and GPU/TPU acceleration

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Overview

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more - jax-ml/jax

The Verdict

Who Should Use JAX?

Best For

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  • [Add best use case 2]
  • [Add best use case 3]

Not Ideal For

  • [Add limitation 1]
  • [Add limitation 2]

What's Great

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  • Fork3.6k
  • Star35.7k
  • Transformations
  • Scaling

Watch Out For

  • [Research G2/Capterra for cons]
  • [Add con 2]

Pricing

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Key Features

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  • Fork3.6k
  • Star35.7k
  • Transformations
  • Scaling
  • Current gotchas

Platforms

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How It Compares

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