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@ML4GW

ML4GW

ML4GW

Tools to make training and deploying neural networks in service of gravitational wave physics simple and accessible to all!

Includes applications under active research, such as denoising, signal detection, and parameter estimation algorithms.

With thanks to Vighnesh J R for the profile picture artwork.

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.

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  1. DeepClean DeepClean Public

    Nonlinear noise subtraction from gravitational wave strain data

    Python 9 6

  2. ml4gw ml4gw Public

    Torch utilities for doing machine learning in gravitational wave physics

    Python 32 25

  3. hermes hermes Public

    Inference-as-a-Service deployment made simple

    Python 4 6

  4. amplfi amplfi Public

    Performing parameter estimation on gravitational wave data with machine learning

    Python 22 14

  5. aframe aframe Public

    Detecting binary black hole mergers in LIGO with neural networks

    Python 17 23

  6. gwak-legacy gwak-legacy Public archive

    Python 5

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