hybrid-vocal-classifier
a Python machine learning library for animal vocalizations and bioacoustics
Science Score: 46.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓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: sciencedirect.com, zenodo.org -
✓Committers with academic emails
1 of 3 committers (33.3%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (17.3%) to scientific vocabulary
Keywords
Repository
a Python machine learning library for animal vocalizations and bioacoustics
Basic Info
- Host: GitHub
- Owner: vocalpy
- License: bsd-3-clause
- Language: Python
- Default Branch: main
- Homepage: http://hybrid-vocal-classifier.readthedocs.io
- Size: 424 MB
Statistics
- Stars: 27
- Watchers: 5
- Forks: 9
- Open Issues: 44
- Releases: 7
Topics
Metadata Files
README.md
hybrid-vocal-classifier
a Python machine learning library for animal vocalizations and bioacoustics
Getting Started
You can install with pip: $ pip install hybrid-vocal-classifier
For more detail, please see: https://hybrid-vocal-classifier.readthedocs.io/en/latest/install.html#install
To learn how to use hybrid-vocal-classifier, please see the documentation at:
http://hybrid-vocal-classifier.readthedocs.io
You can find a tutorial here: https://hybrid-vocal-classifier.readthedocs.io/en/latest/tutorial.html
A more interactive tutorial in Jupyter notebooks is here:
https://github.com/NickleDave/hybrid-vocal-classifier-tutorial
Project Information
the hybrid-vocal-classifier library (hvc for short)
makes it easier for researchers studying
animal vocalizations and bioacoustics
to apply machine learning algorithms to their data.
The focus on automating the sort of annotations
often used by researchers studying
vocal learning
sets hvc apart from more general software tools for bioacoustics.
In addition to automating annotation of data,
hvc aims to make it easy for you to compare different models people have proposed,
using the data you have in your lab,
so you can see for yourself which one works best for your needs.
A related goal is to help you figure out
just how much data you have to label to get "good enough" accuracy for your analyses.
You can think of hvc as a high-level wrapper around
the scikit-learn library,
plus built-in functionality for working with annotated animal sounds.
Support
If you are having issues, please let us know. - Issue Tracker: https://github.com/NickleDave/hybrid-vocal-classifier/issues
Contribute
- Issue Tracker: https://github.com/NickleDave/hybrid-vocal-classifier/issues
- Source Code: https://github.com/NickleDave/hybrid-vocal-classifier
CHANGELOG
You can see project history and work in progress in the CHANGELOG
License
The project is licensed under the BSD license.
Citation
If you use this library, please cite its DOI:
Backstory
hvc was originally developed in the Sober lab
as a tool to automate annotation of birdsong (as shown in the picture above).
It grew out of a submission to the
SciPy 2016 conference
and later developed into a library,
as presented in this talk: https://youtu.be/BwNeVNou9-s
Owner
- Name: VocalPy
- Login: vocalpy
- Kind: organization
- Website: https://forum.vocalpy.org/
- Repositories: 8
- Profile: https://github.com/vocalpy
GitHub Events
Total
- Watch event: 1
Last Year
- Watch event: 1
Committers
Last synced: 7 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| nickledave | n****v@g****m | 625 |
| David Nicholson | n****e | 75 |
| Hercules | d****l@e****u | 2 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 78
- Total pull requests: 22
- Average time to close issues: 8 months
- Average time to close pull requests: 21 minutes
- Total issue authors: 5
- Total pull request authors: 3
- Average comments per issue: 0.87
- Average comments per pull request: 0.05
- Merged pull requests: 21
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- NickleDave (68)
- URSUroman (5)
- bradleycolquitt (2)
- zbpvarun (2)
- krissr (1)
Pull Request Authors
- NickleDave (20)
- TrellixVulnTeam (1)
- dherc323 (1)
Top Labels
Issue Labels
Pull Request Labels
Dependencies
- numpydoc >=0.7
- actions/checkout v2 composite
- actions/setup-python v2 composite