From PyTorch to JAX: towards neural net frameworks that purify stateful code

From PyTorch to JAX: towards neural net frameworks that purify stateful code

From PyTorch to JAX: towards neural net frameworks that purify stateful code — Sabrina J. Mielke

JAX, Google’s now-over-a-year-old Python library for machine learning and other numerical computing describes itself as “Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more”—and while that definition is certainly fitting, it is a bit intimidating.

Source: sjmielke.com/jax-purify.htm

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