Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more - jax/jax/typing.py at main · google/jax

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Ever want to learn how JAX works, but the implementation seemed impenetrable? Well, you're in luck! By reading this tutorial, you'll learn every big idea in JAX's core system. You'll even get …

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

With its updated version of Autograd,\nJAX can automatically differentiate native\nPython and NumPy functions. It can differentiate through loops, branches,\nrecursion, and closures, and it …

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

diff --git a/jax/experimental/jax_to_tf/tests/__init__.py b/jax/experimental/jax_to_tf/tests/__init__.py new file mode 100644 index 000000000000..30257881ab32 ...

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more - jax/tests/multibackend_test.py at main · google/jax

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","","# JAX: Autograd and XLA","","","![PyPI …