https://github.com/capjamesg/cv-nlp-other
A text classification model that identifies if a research paper abstract pertains to language models or computer vision.
Science Score: 13.0%
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
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○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 (3.6%) to scientific vocabulary
Repository
A text classification model that identifies if a research paper abstract pertains to language models or computer vision.
Basic Info
- Host: GitHub
- Owner: capjamesg
- License: mit
- Language: Python
- Default Branch: main
- Size: 9.77 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Computer Vision, NLP, or Other
The code behind my text classification model that identifies whether a piece of text relates to computer vision, NLP, or something else.
This project uses Autodistill to auto-label a JSON file that contains text to classify. Then, the classified text is passed into a SetFit model.
Here are the final results from the project:
License
This project is licensed under an MIT license.
Owner
- Name: James
- Login: capjamesg
- Kind: user
- Location: Scotland
- Company: @Roboflow
- Website: jamesg.blog
- Repositories: 320
- Profile: https://github.com/capjamesg
from words, wonder.
GitHub Events
Total
Last Year
Issues and Pull Requests
Last synced: 10 months ago
All Time
- Total issues: 0
- Total pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 0
- Total 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
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