The tiniest of Gaussian Process libraries
Project description
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. Thanks to
jax, tinygp supports things like GPU acceleration and automatic
differentiation.
Check out the docs for more info: tinygp.readthedocs.io
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
tinygp-0.2.4.tar.gz
(173.2 kB
view details)
Built Distribution
tinygp-0.2.4-py3-none-any.whl
(42.2 kB
view details)
File details
Details for the file tinygp-0.2.4.tar.gz.
File metadata
- Download URL: tinygp-0.2.4.tar.gz
- Upload date:
- Size: 173.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/4.0.2 CPython/3.11.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 7e88a607a5ec83efadadf229903908e9b195273c5345ef60bdd38a809a3c6504 |
|
| MD5 | c9b35e232407405a3ce572e968a3b384 |
|
| BLAKE2b-256 | f49641c0871b448f6032f221fbe37790b4e080ac8694a2a3a11ce562dd76b9be |
File details
Details for the file tinygp-0.2.4-py3-none-any.whl.
File metadata
- Download URL: tinygp-0.2.4-py3-none-any.whl
- Upload date:
- Size: 42.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/4.0.2 CPython/3.11.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 607da8dfb5d009066b84000d4e94ca68ca165613cdc1d223256891da0afc9beb |
|
| MD5 | c2a9e1b6683c1274b0e38432c0914df3 |
|
| BLAKE2b-256 | f8a6ce44d1ee1f6495f2efb45a37dd2e64371e0ab997f5eabcbd2a923686112d |
