Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
JAX composes automatic differentiation, JIT compilation and vectorisation — the substrate for much of Google's and DeepMind's research.
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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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jax is an open-source project. It is released under the Apache-2.0 license.
Yes. jax is free and open source — you can use, modify and self-host it.
jax is available under the Apache-2.0 license.
jax is written mainly in Python.
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Measured from GitHub topics shared by both projects, weighted by how rare each topic is.