tinygp#
The tiniest of Gaussian Process libraries.
tinygp is an extremely lightweight library for building Gaussian Process (GP)
models in Python, built on top of jax. It has
a nice interface, and it’s pretty fast (see Benchmarks).
Thanks to jax, tinygp supports things like GPU acceleration and automatic
differentiation.
How to find your way around?
🖥 A good place to get started is with the Installation Guide and then the Tutorials. You might also be interested in the Why tinygp? page.
📖 For all the details, check out the User Guide, including the full API documentation.
💡 If you’re running into getting tinygp to do what you want, first check
out the Troubleshooting page, for some general tips and tricks.
🐛 If Troubleshooting doesn’t solve your problems, or if you find bugs, check out the Contributor Guide and then head on over to the GitHub issues page.
👈 Check out the sidebar to find the full table of contents.