Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
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
Last synced: 8 days ago
JSON representation
An open-source JAX-based gravitational-wave population inference toolkit for parametric models ✴️
- Host: GitHub
- URL: https://github.com/gwkokab/gwkokab
- Owner: gwkokab
- License: apache-2.0
- Created: 2023-12-24T21:55:35.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-10-24T19:48:44.000Z (3 months ago)
- Last Synced: 2024-10-25T04:42:45.058Z (3 months ago)
- Topics: astrophysics, gravitational-waves, jax, neutron-star
- Language: Python
- Homepage: https://gwkokab.readthedocs.io
- Size: 25 MB
- Stars: 7
- Watchers: 1
- Forks: 0
- Open Issues: 25
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Citation: CITATION.bib
Awesome Lists containing this project
- awesome-normalizing-flows - GWKokab
README
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)![GitHub License](https://img.shields.io/github/license/gwkokab/gwkokab)
[![Documentation Status](https://readthedocs.org/projects/gwkokab/badge/?version=latest)](https://gwkokab.readthedocs.io/en/latest/?badge=latest)
[![CI](https://github.com/gwkokab/gwkokab/actions/workflows/ci.yml/badge.svg)](https://github.com/gwkokab/gwkokab/actions/workflows/ci.yml)GWKokab is a JAX-based gravitational-wave population inference toolkit. It is designed to be a high-performance, flexible, 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).
> [!WARNING]
> Our documentation is generally maintained, but tutorials are currently outdated. While the main documentation is largely current, some inconsistencies may exist. We greatly value community feedback – if you encounter any discrepancies, please submit an issue report to help us improve the documentation quality for all users.## 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}
}
```