Detecting compact binary mergers from gravitational wave strain data using neural networks

Minimal effort CLIs derived from type hints and parse from command line, config files and environment variables

Torch utilities for doing machine learning in gravitational wave physics

Performing parameter estimation on gravitational wave data with machine learning

Detecting binary black hole mergers in LIGO with neural networks

A playbook for systematically maximizing the performance of deep learning models.

Detecting binary black hole mergers in LIGO with neural networks

Build large-scale task workflows: luigi + job submission + remote targets + environment sandboxing using Docker/Singularity

Mirror of official GWpy project on GitLab