https://github.com/denajgibbon/automated-detection-repository
https://github.com/denajgibbon/automated-detection-repository
Science Score: 13.0%
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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○Academic publication links
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○Scientific vocabulary similarity
Low similarity (6.8%) to scientific vocabulary
Last synced: 4 months ago
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JSON representation
Repository
Basic Info
- Host: GitHub
- Owner: DenaJGibbon
- Default Branch: main
- Size: 1000 Bytes
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created over 1 year ago
· Last pushed over 1 year ago
Metadata Files
Readme
README.Rmd
---
output: github_document
---
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>"
)
```
# Automated-Detection-Repository
This is the repository to share interesting tutorials, code and information for our research project.
# Some suggested machine learning materials
Practical deep learning for coders - https://course.fast.ai/.
Introduction to Machine Learning - https://developers.google.com/machine-learning/crash-course/ml-intro.
# Bioacoustics specific tutorials (suggested)
Analytical approaches for acoustic data- https://github.com/DenaJGibbon/Analytical-approaches-for-acoustic-data-2023/tree/main
Focus on Part 1. under 'R scripts'.
Tutorial to use traditional machine learning for automated detection in R: https://denajgibbon.github.io/gibbonR-tutorial/.
# Bioacoustics specific tutorials (optional)
https://github.com/vocalpy/acoustic-communication-and-bioacoustics-bootcamp/tree/main
Owner
- Name: Dena J. Clink
- Login: DenaJGibbon
- Kind: user
- Company: K. Lisa Yang Center for Conservation Bioacoustics
- Website: www.denaclink.com
- Twitter: BorneanGibbons
- Repositories: 4
- Profile: https://github.com/DenaJGibbon
I am a biological anthropologist, bioacoustician, and avid R user. I use innovative bioacoustics techniques to answer evolutionary questions.