QuantClimate / GPJax
Gaussian processes in JAX and Equinox.
Why this job: matched by what the repo talks about: gaussian
What it does
GPJax aims to provide a low-level interface to Gaussian process (GP) models in Jax, structured to give researchers maximum flexibility in extending the code to suit their own needs. The idea is that the code should be as close as possible to the maths we write on paper when working with GP models.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit yesterday
- Stars
- 670
- +1 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v1.1.0
- Released today
- Built with
- Python
- 99% of the code
Is it looked after?
- Contributors
- 6
- Last 90 days
- Issues
- 93% closed
- 16 still open
- Pull requests
- 450 merged
- 5 waiting
- Releases
- 61
- 10 in the last year
- Contributing guide (opens in new tab)
- No security policy
- Code of conduct (opens in new tab)
More: languages, topics, project record and preview image
Languages
- Python 99%
- TeX 1%
Topics
- gaussian-processes
- jax
- probabilistic-programming
- bayesian-inference
- machine-learning
Project record
- Job3D and Blender
- StatusFeatured
- Commits1,578
- Forks86
- Watching7
- Stars in 28 days+2
- CreatedSep 27, 2020
- First seen by usNov 7, 2026
- CheckedNov 10, 2026