Metadata-Version: 2.1
Name: coix
Version: 0.0.1
Summary: Inference Combinators in JAX
Keywords: probabilistic machine learning,bayesian statistics
Author-email: coix authors <coix-dev@google.com>
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Intended Audience :: Science/Research
Requires-Dist: jax
Requires-Dist: jaxlib
Requires-Dist: numpy
Requires-Dist: numpyro
Requires-Dist: oryx
Requires-Dist: pytest ; extra == "dev"
Requires-Dist: pytest-xdist ; extra == "dev"
Requires-Dist: pylint>=2.6.0 ; extra == "dev"
Requires-Dist: pyink ; extra == "dev"
Project-URL: changelog, https://github.com/jax-ml/coix/blob/main/CHANGELOG.md
Project-URL: homepage, https://github.com/jax-ml/coix
Project-URL: repository, https://github.com/jax-ml/coix
Provides-Extra: dev

# coix

[![Unittests](https://github.com/jax-ml/coix/actions/workflows/pytest_and_autopublish.yml/badge.svg)](https://github.com/jax-ml/coix/actions/workflows/pytest_and_autopublish.yml)
[![PyPI version](https://badge.fury.io/py/coix.svg)](https://badge.fury.io/py/coix)

Inference Combinators in JAX (Coix) is a machine learning framework used to
develop inference algorithms that are composed of probabilistic programs.

*This is not an officially supported Google product.*

