sgvb-psd

Multivariate PSD estimation using VI (https://arxiv.org/abs/2409.13224v1)

https://github.com/nz-gravity/sgvb_psd

Science Score: 54.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
    Links to: arxiv.org
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (7.2%) to scientific vocabulary
Last synced: 7 months ago · JSON representation ·

Repository

Multivariate PSD estimation using VI (https://arxiv.org/abs/2409.13224v1)

Basic Info
Statistics
  • Stars: 6
  • Watchers: 2
  • Forks: 1
  • Open Issues: 2
  • Releases: 0
Created over 1 year ago · Last pushed 11 months ago
Metadata Files
Readme License Citation

README.md

Coverage Status PyPI version arXiv

SGVB PSD Estimator

This repository contains the code for the paper "Variational inference for correlated gravitational wave detector network noise" by Jianan Liu at al. 2024

Documentation is available at https://nz-gravity.github.io/sgvb_psd/

Development

Install in editable mode with dev dependencies pip install -e ".[dev]" pre-commit install

Ensure unit tests are passing locally and on the CI! pytest tests/

Releasing to PyPI

  1. Manually change the version number in pyproject.toml (has to be higher than previous)
  2. Create a tagged commit with the version number
  3. Push the tag to GitHub

git tag -a v0.1.0 -m "v0.1.0" git push origin v0.1.0

Owner

  • Name: nz-gravity
  • Login: nz-gravity
  • Kind: organization

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it, along with the associated paper."
authors:
  - family-names: "NZ Gravity"
title: "sgvb_psd"
version: 1.0.0
date-released: 2024-09-19
url: "https://github.com/nz-gravity/sgvb_psd"

GitHub Events

Total
  • Watch event: 1
  • Delete event: 1
  • Push event: 21
  • Pull request event: 2
  • Create event: 4
Last Year
  • Watch event: 1
  • Delete event: 1
  • Push event: 21
  • Pull request event: 2
  • Create event: 4

Committers

Last synced: 8 months ago

All Time
  • Total Commits: 171
  • Total Committers: 3
  • Avg Commits per committer: 57.0
  • Development Distribution Score (DDS): 0.216
Past Year
  • Commits: 171
  • Committers: 3
  • Avg Commits per committer: 57.0
  • Development Distribution Score (DDS): 0.216
Top Committers
Name Email Commits
Avi Vajpeyi a****i@g****m 134
ljn94408 j****2@a****z 36
github-actions a****s 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 7 months ago

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 15 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 5
  • Total maintainers: 1
pypi.org: sgvb-psd

A python package for estimating the power spectral density (PSD) of correlated multivariate detector noise using variational inference (VI).

  • Homepage: https://github.com/nz-gravity/sgvb_psd
  • Documentation: https://nz-gravity.github.io/sgvb_psd/
  • License: MIT License Copyright (c) 2024 nz-gravity Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
  • Latest release: 0.0.6
    published 12 months ago
  • Versions: 5
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 15 Last month
Rankings
Dependent packages count: 10.3%
Average: 34.2%
Dependent repos count: 58.0%
Maintainers (1)
Last synced: 7 months ago

Dependencies

pyproject.toml pypi
  • hyperopt *
  • matplotlib *
  • numpy *
  • pandas *
  • tensorflow *
  • tensorflow_probability *
  • tf_keras *
.github/workflows/docs_and_tests.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v4 composite
  • coverallsapp/github-action v2 composite
  • peaceiris/actions-gh-pages v3.9.3 composite
.github/workflows/publish.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v4 composite
  • pypa/gh-action-pypi-publish release/v1 composite