v0.1.0

Generalize to Four Dimensions.

The first four-dimensional non-parametric population inference code for binary black holes with GPU accelerated binned Gaussian Processes (Ray and Kalogera, 2026)

v0.0.4

Three-dimensional models with self-consistent variance-based likelihood penalty. Can be used to reproduce GWTC-5 BGP results.

zenodo-link

Frozen version to live in zenodo.

What's Changed

• Upload population inference code in the form of a python package by @AnaryaRay1 in #1
• New workflow with popsummary compatible output by @AnaryaRay1 in #2
• Scalable correlated inference using LatentKron by @AnaryaRay1 in #3
• Improve workflow by @AnaryaRay1 in #6

Full Changelog: https://github.com/AnaryaRay1/gppop/commits/zenodo-v2

v0.0.2

What's Changed

• Upload population inference code in the form of a python package by @AnaryaRay1 in #1
• New workflow with popsummary compatible output by @AnaryaRay1 in #2
• Scalable correlated inference using LatentKron by @AnaryaRay1 in #3
• Improve workflow by @AnaryaRay1 in #6

Full Changelog: https://github.com/AnaryaRay1/gppop/commits/data-release