https://github.com/carperai/magicarp-v2
magiCARP is an API used for crossencoder training.
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 (0.7%) to scientific vocabulary
Last synced: 10 months ago
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Repository
magiCARP is an API used for crossencoder training.
Basic Info
Statistics
- Stars: 10
- Watchers: 2
- Forks: 4
- Open Issues: 4
- Releases: 0
Created over 3 years ago
· Last pushed almost 3 years ago
Metadata Files
Readme
README.md
magiCARP-v2
magiCARP is an API used for unsupervised reward model/reranker training.
Owner
- Name: CarperAI
- Login: CarperAI
- Kind: organization
- Repositories: 15
- Profile: https://github.com/CarperAI
GitHub Events
Total
- Fork event: 1
Last Year
- Fork event: 1
Issues and Pull Requests
Last synced: over 1 year ago
All Time
- Total issues: 10
- Total pull requests: 10
- Average time to close issues: about 2 months
- Average time to close pull requests: about 1 month
- Total issue authors: 1
- Total pull request authors: 2
- Average comments per issue: 0.4
- Average comments per pull request: 0.1
- Merged pull requests: 9
- 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
- shahbuland (10)
Pull Request Authors
- shahbuland (8)
- sahil-kabir (2)
Top Labels
Issue Labels
Pull Request Labels
Dependencies
docs/requirements.txt
pypi
- accelerate *
- datasets *
- deepspeed *
- einops *
- numpy *
- sphinx ==4.0.0
- sphinx_rtd_theme *
- torchtyping *
- tqdm *
- transformers *
- wandb *
requirements.txt
pypi
- datasets *
- joblib *
- torch *
- transformers *