.zenodo.json

{
  "creators": [
    {
      "orcid": "0000-0002-9328-5652",
      "affiliation": "Center for Computational Astrophysics, Flatiron Institute, New York, NY, USA",
      "name": "Foreman-Mackey, Daniel"
    },
    {
      "orcid": "0000-0003-1262-2897",
      "affiliation": "Department of Physics and Astronomy, Bishop's University, Canada",
      "name": "Weixiang Yu"
    },
    {
      "orcid": "0000-0003-0048-1118",
      "affiliation": "Indian Institute of Technology Gandhinagar: Gandhinagar, Gujarat, IN",
      "name": "Yadav, Sachin"
    },
    {
      "orcid": "0009-0000-1930-8150",
      "affiliation": "Massachusetts Institute of Technology, Probabilistic Computing Project, Cambridge, MA, USA",
      "name": "Becker, McCoy Reynolds"
    },
    {
      "orcid": "0000-0003-3287-5250",
      "affiliation": "Department of Astronomy and the DiRAC Institute, University of Washington, Seattle, WA, USA",
      "name": "Caplar, Neven"
    },
    {
      "orcid": "0000-0002-1169-7486",
      "affiliation": "SRON Netherlands Institute for Space Research, Leiden, The Netherlands",
      "name": "Huppenkothen, Daniela"
    },
    {
      "orcid": "0000-0002-0440-9597",
      "name": "Killestein, Thomas",
      "affiliation": "Department of Physics, University of Warwick, Coventry, UK"
    },
    {
      "orcid": "0000-0003-1001-0707",
      "affiliation": "Department of Physics and Astronomy, Aarhus University, DK",
      "name": "Tronsgaard, René"
    },
    {
      "affiliation": "School of Public Health, Imperial College London, UK",
      "name": "Rashid, Theo"
    },
    {
      "orcid": "0000-0003-1354-0578",
      "affiliation": "Helmholtz-Zentrum Dresden-Rossendorf e.V.",
      "name": "Schmerler, Steve"
    }
  ],
  "license": "MIT",
  "title": "dfm/tinygp: The tiniest of Gaussian Process libraries",
  "description": "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.\n\nCheck out the docs for more info: https://tinygp.readthedocs.io"
}