tag:joss.theoj.org,2005:/papers/by/Thomas%20PinderJournal of Open Source Software2022-07-26T20:35:08ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/36252022-07-26T20:35:08Z2022-07-27T00:00:31ZGPJax: A Gaussian Process Framework in JAXacceptedv0.4.52022-05-24 16:24:45 UTC752022-07-26 20:35:08 UTC720224455ThomasPinderDepartment of Mathematics and Statistics, Lancaster University, United KingdomDanielDoddSTOR-i Centre for Doctoral Training, Lancaster University, United Kingdom10.21105/joss.04455https://doi.org/10.5281/zenodo.6882220Pythonhttps://joss.theoj.org/papers/10.21105/joss.04455.pdfGaussian processes, JAX, Bayesian inference, Machine learning, Statistics