de-bias
TensorFlow Model used to show the ramifications of improper dataset management/pruning
Science Score: 44.0%
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
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (0.6%) to scientific vocabulary
Last synced: 6 months ago
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Repository
TensorFlow Model used to show the ramifications of improper dataset management/pruning
Basic Info
- Host: GitHub
- Owner: RynSingleton
- Default Branch: main
- Size: 1.95 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created almost 2 years ago
· Last pushed almost 2 years ago
Metadata Files
Readme
Citation
README.md
De-Bias
TensorFlow Model used to show the ramifications of improper dataset management/pruning
Owner
- Name: Ryn Singleton
- Login: RynSingleton
- Kind: user
- Repositories: 1
- Profile: https://github.com/RynSingleton
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: DeBias
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: 'Kamryn '
family-names: Singleton
email: kamrynsingletonyt@gmail.com
repository-code: 'https://github.com/RynSingleton/De-Bias.git'