Metadata-Version: 2.1
Name: jaxkern-nightly
Version: 0.0.5.dev20230124
Summary: Kernels in Jax.
Home-page: UNKNOWN
Author: Daniel Dodd and Thomas Pinder
Author-email: tompinder@live.co.uk
License: LICENSE
Project-URL: Documentation, https://JaxKern.readthedocs.io/en/latest/
Project-URL: Source, https://github.com/JaxGaussianProcesses/JaxKern
Description: <h1 align='center'>JaxKern</h1>
        <h2 align='center'>Kernels in Jax.</h2>
        
        [![codecov](https://codecov.io/gh/JaxGaussianProcesses/JaxKern/branch/main/graph/badge.svg?token=8WD7YYMPFS)](https://codecov.io/gh/JaxGaussianProcesses/JaxKern)
        [![CircleCI](https://dl.circleci.com/status-badge/img/gh/JaxGaussianProcesses/JaxKern/tree/main.svg?style=svg)](https://dl.circleci.com/status-badge/redirect/gh/JaxGaussianProcesses/JaxKern/tree/main)
        [![Documentation Status](https://readthedocs.org/projects/gpjax/badge/?version=latest)](https://gpjax.readthedocs.io/en/latest/?badge=latest)
        [![PyPI version](https://badge.fury.io/py/jaxkern.svg)](https://badge.fury.io/py/jaxkern)
        [![Downloads](https://pepy.tech/badge/jaxkern)](https://pepy.tech/project/jaxkern)
        [![Slack Invite](https://img.shields.io/badge/Slack_Invite--blue?style=social&logo=slack)](https://join.slack.com/t/gpjax/shared_invite/zt-1da57pmjn-rdBCVg9kApirEEn2E5Q2Zw)
Keywords: gaussian-processes jax machine-learning bayesian
Platform: UNKNOWN
Description-Content-Type: text/markdown
Provides-Extra: dev
Provides-Extra: cuda
