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
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Release files for tinygp 0.3.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| tinygp-0.3.1.tar.gz | 174.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| tinygp-0.3.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 219.8 kB
Release files / tinygp-0.3.1.tar.gz
| Download URL | tinygp-0.3.1.tar.gz |
|---|---|
| Size | 174.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Transparency logRelease files / tinygp-0.3.1-py3-none-any.whl
| Download URL | tinygp-0.3.1-py3-none-any.whl |
|---|---|
| Size | 45.2 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
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