google / torchax
torchax is a PyTorch frontend for JAX. It gives JAX the ability to author JAX programs using familiar PyTorch syntax. It also provides JAX-Pytorch interoperability, meaning, one can mix JAX & Pytorch syntax together when authoring ML programs, and run it in every hardware JAX can run.
Why this job: works in the areas we cover, but does not say which job it does
What it does
PyTorch programs on Google Cloud TPUs. It also provides graph-level interoperability between PyTorch and JAX.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 21 days ago
- Stars
- 251
- On GitHub
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 44% closed
- 14 still open
- Pull requests
- 76 merged
- 3 waiting
- Releases
- None
- Never published
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More: languages, topics and project record
Languages
- Python 100%
- Shell <1%
Topics
- ai
- interoperability
- jax
- machine-learning
- pytorch
- tpu
Project record
- JobOther AI tools
- StatusListed
- Commits82
- Forks41
- Watching5
- Stars in 28 days+6
- CreatedOct 3, 2025
- First seen by usNov 7, 2026
- CheckedNov 8, 2026