sgvb-psd
Multivariate PSD estimation using VI (https://arxiv.org/abs/2409.13224v1)
Science Score: 54.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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✓Academic publication links
Links to: arxiv.org -
○Committers with academic emails
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (7.2%) to scientific vocabulary
Repository
Multivariate PSD estimation using VI (https://arxiv.org/abs/2409.13224v1)
Basic Info
- Host: GitHub
- Owner: nz-gravity
- License: mit
- Language: Python
- Default Branch: main
- Homepage: https://nz-gravity.github.io/sgvb_psd/
- Size: 109 MB
Statistics
- Stars: 6
- Watchers: 2
- Forks: 1
- Open Issues: 2
- Releases: 0
Metadata Files
README.md
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
- Manually change the version number in
pyproject.toml(has to be higher than previous) - Create a tagged commit with the version number
- 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
- Repositories: 1
- Profile: https://github.com/nz-gravity
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
Top Committers
| Name | 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
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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.
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Latest release: 0.0.6
published 12 months ago
Rankings
Maintainers (1)
Dependencies
- hyperopt *
- matplotlib *
- numpy *
- pandas *
- tensorflow *
- tensorflow_probability *
- tf_keras *
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- actions/setup-python v4 composite
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- peaceiris/actions-gh-pages v3.9.3 composite
- actions/checkout v3 composite
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- pypa/gh-action-pypi-publish release/v1 composite