gwastro / PyCBC-Tutorials

Learn how to use PyCBC to analyze gravitational-wave data and do parameter inference.

Date Created 2017-04-15 (7 years ago)

Commits 177 (last one 4 months ago)

Stargazers 117 (0 this week)

Watchers 12 (0 this week)

Forks 49

License unknown

Ranking

RepositoryStats indexes 595,856 repositories, of these gwastro/PyCBC-Tutorials is ranked #264,594 (56th percentile) for total stargazers, and #178,842 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #6,385/17,543.

gwastro/PyCBC-Tutorials is also tagged with popular topics, for these it's ranked: python (#11,832/22324), jupyter-notebook (#352/619), tutorials (#227/379), signal-processing (#104/217), astronomy (#71/198), open-data (#80/188)

Other Information

gwastro/PyCBC-Tutorials has Github issues enabled, there are 4 open issues and 5 closed issues.

There have been 1 release, the latest one was published on 2020-06-25 (4 years ago)

All Topics

ligo kagra pycbc virgo python astronomy open-data tutorials cosmic-explorer jupyter-notebook matched-filtering signal-processing bayesian-inference einstein-telescope gravitational-waves

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22 commits on the default branch (master) since jan '22

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The primary language is Jupyter Notebook but there's also others...

updated: 2024-12-20 @ 04:58am, id: 88351942 / R_kgDOBUQkxg