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https://github.com/gwkokab/gwkokab

An open-source JAX-based gravitational-wave population inference toolkit for parametric models ✴️
https://github.com/gwkokab/gwkokab

astrophysics gravitational-waves jax neutron-star

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An open-source JAX-based gravitational-wave population inference toolkit for parametric models ✴️

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A JAX-based gravitational-wave population inference toolkit for parametric models ✴️

[**Installation**](https://gwkokab.readthedocs.io/en/latest/installation.html) |
[**Documentation**](https://gwkokab.readthedocs.io/) |
[**Examples/Tutorials**](https://gwkokab.readthedocs.io/en/latest/examples.html) |
[**FAQs**](https://gwkokab.readthedocs.io/en/latest/FAQs.html) |
[**Citing GWKokab ✴️**](#citing-gwkokab)

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![PyPI - Version](https://img.shields.io/pypi/v/gwkokab)

GWKokab is a JAX-based gravitational-wave population inference toolkit. It is designed to be a high-performance, flexible and easy-to-use library for sampling from a wide range of gravitational-wave population models. It is built on top of JAX, a high-performance numerical computing library, and is designed to be easily integrated into existing JAX workflows.

If you would like to contribute, please see the [contributing guidelines](https://gwkokab.readthedocs.io/en/latest/dev_docs/contributing.html).

## Citing GWKokab

If you use GWKokab in your research, please cite the following paper:

```bibtex
@software{gwkokab2024github,
author = {Meesum Qazalbash, Muhammad Zeeshan, Richard O'Shaughnessy},
title = {{GWKokab}: A JAX-based gravitational-wave population inference toolkit for parametric models},
url = {https://github.com/gwkokab/gwkokab},
version = {0.0.1},
year = {2024}
}
```