https://github.com/danforthcenter/napari_naive_bayes_tutorial
https://github.com/danforthcenter/napari_naive_bayes_tutorial
Science Score: 13.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
-
○DOI references
-
○Academic publication links
-
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (4.8%) to scientific vocabulary
Last synced: 10 months ago
·
JSON representation
Repository
Basic Info
- Host: GitHub
- Owner: danforthcenter
- License: cc-by-4.0
- Language: Jupyter Notebook
- Default Branch: main
- Size: 14.9 MB
Statistics
- Stars: 0
- Watchers: 4
- Forks: 0
- Open Issues: 0
- Releases: 0
Created almost 2 years ago
· Last pushed over 1 year ago
Metadata Files
Readme
License
README.md
Napari Naive Bayes Data Collection
Naive Bayes Data Collection Tutorial Using Napari to Collect and Format Data
Tutorial tags/keywords
napari, naive bayes, color, rgb, machine learning, napari
Citations
Optional.
Owner
- Name: Donald Danforth Plant Science Center
- Login: danforthcenter
- Kind: organization
- Location: St. Louis, MO
- Website: https://danforthcenter.org
- Repositories: 97
- Profile: https://github.com/danforthcenter
Our Mission: Improve the Human Condition Through Plant Science
GitHub Events
Total
- Push event: 3
Last Year
- Push event: 3
Dependencies
.github/workflows/ci-tests.yml
actions
- actions/checkout main composite
- actions/setup-python main composite
requirements.txt
pypi
- ipympl *