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jax
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jax

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

by jax-ml · GitHub
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jaxApache-2.0Python
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In plain words

JAX composes automatic differentiation, JIT compilation and vectorisation — the substrate for much of Google's and DeepMind's research.

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36.2k36.1k
2026-08-022026-08-31
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📄 About

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

jax has 36.2k stars on GitHub. It has been forked 3.7k times. jax is written mainly in Python. It has been in active development since 2018. jax is available under the Apache-2.0 license. Its main topics are jax.

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Frequently asked questions

What is jax?

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

Is jax open source?

jax is an open-source project. It is released under the Apache-2.0 license.

Is jax free?

Yes. jax is free and open source — you can use, modify and self-host it.

What license does jax use?

jax is available under the Apache-2.0 license.

What language is jax written in?

jax is written mainly in Python.

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