UCBerkeleySETI / blml

Breakthrough Listen machine learning

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blml

This repository contains code and documentation from a workshop at UC Berkeley on June 2 and 3 2016. More recent ML development is now at https://github.com/UCBerkeleySETI/breakthrough/tree/master/ML

Experiments

  • apf_demud: Ran DEMUD novelty detection on APF spectra
  • gbt_demud: Ran DEMUD novelty detection on GBT filterbank data that had been converted into spectra by averaging across a 5-minute window
  • gbtfil_demud: Ran DEMUD novelty detection on GBT filterbank data (2D)
  • gbt_cluster: Re-sampled GBT data and ran clustering results on extracted features (Umaa and Jasper)
  • hitrecords_cluster: Looking for clustering in SETI@home and SERENDIP hit records.

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Breakthrough Listen machine learning

License:MIT License


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Language:Jupyter Notebook 99.9%Language:Python 0.1%