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

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JAX is a research project that grew out of Autograd. Here's a two-page abstract about an early version. Watch this space for updates!

This is not an official Google product.

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

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  • Python 92.5%
  • C++ 4.8%
  • Jupyter Notebook 1.3%
  • Starlark 1.1%
  • Shell 0.2%
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