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Josh Willis / pycbc_offline_benchmark
GNU General Public License v2.0 or laterExecutables and Dockerfile to build a stand-alone containerized PyCBC benchmark. When using FFTW, it will first create a wisdom file. Both wisdom file creation and the benchmark run itself will attempt to fully load the cores.
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Travis Hansen / lalsuite
GNU General Public License v2.0 or laterUpdated -
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Lalsimulation 3PN Eccentric Wave-form with pariastron advancement
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Michael William Coughlin / bilby
MIT LicenseUpdated -
Jonathan Blackman / lalsuite
GNU General Public License v2.0 or laterLSC Algorithm Library Suite
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Reinhard Prix / lalsuite
GNU General Public License v2.0 or laterLSC Algorithm Library Suite
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Takahiro Yamamoto / locklost
GNU General Public License v3.0 onlyUpdated -
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Bhooshan Uday Gadre / lalsuite
GNU General Public License v2.0 or laterUpdated -
Austin Jennings / locklost
GNU General Public License v3.0 onlyUpdated -
Sudarshan Ghonge / bayeswave
GNU General Public License v2.0 or laterUpdated -
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Isobel Marguarethe Romero-Shaw / bilby
MIT LicenseUpdated -
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David Keitel / parallel_bilby
MIT LicenseUpdated -
Collection of jupyter notebooks for various LCT modelling tasks.
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