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

Installers

  • linux-64 v0.7.2
  • linux-aarch64 v0.7.2
  • osx-64 v0.4.35
  • osx-arm64 v0.7.2
  • win-64 v0.7.2

conda install

To install this package run one of the following:
conda install main::jaxlib

Description

JAX is a Python library for accelerator-oriented array computation and program transformation, designed for high-performance numerical computing and large-scale machine learning.


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