Welcome to ml4gw's documentation!
Note
This documentation is a work in progress! If you have any questions or suggestions, please feel free to create an issue
ml4gw
ml4gw is a library of pytorch utilities for training neural networks in service of gravitational wave physics applications.
The code can be found on github at https://github.com/ML4GW/ml4gw. Please see the usage examples and tutorial below for help on getting started.
Contents:
API:
Projects
Currently, the following projects are using ml4gw to support their research:
Development
As this library is still very much a work in progress, we anticipate that novel use cases will encounter errors stemming from a lack of robustness. We encourage users who encounter these difficulties to file issues on GitHub, and we'll be happy to offer support to extend our coverage to new or improved functionality. We also strongly encourage ML users in the GW physics space to try their hand at working on these issues and joining on as collaborators! By bringing in new users with new use cases, we hope to develop this library into a truly general-purpose tool which makes DL more accessible for gravitational wave physicists everywhere.
Funding
We are grateful for the support of the U.S. National Science Foundation (NSF) Harnessing the Data Revolution (HDR) Institute for Accelerating AI Algorithms for Data Driven Discovery (A3D3) under Cooperative Agreement No. PHY-2117997.