n2cholas / awesome-jax
JAX - A curated list of resources https://github.com/google/jax
Why this job: name: awesome; says: curated list; topics: awesome-list, awesome
What it does
JAX brings automatic differentiation and the XLA compiler together through a NumPy-like API for high performance machine learning research on accelerators like GPUs and TPUs.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 9 months ago
- Stars
- 2,176
- +3 this week
- Licence
- CC0-1.0
- Read the terms
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Not stated
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 82% closed
- 2 still open
- Pull requests
- 102 merged
- 23 waiting
- Releases
- None
- Never published
- Contributing guide (opens in new tab)
- No security policy
- Code of conduct (opens in new tab)
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More: topics and project record
Topics
- awesome
- awesome-list
- jax
- machine-learning
- neural-network
- deep-learning
- xla
- autograd
- numpy
Project record
- JobLists and guides
- StatusListed
- Commits312
- Forks170
- Watching52
- Stars in 28 days+9
- CreatedDec 20, 2020
- First seen by usNov 7, 2026
- CheckedNov 8, 2026