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GitHub / zhafen / cc
Natural language processing of scientific abstracts to extract quantitative trends.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zhafen%2Fcc
Stars: 1
Forks: 0
Open Issues: 8
License: None
Language: TeX
Repo Size: 22.3 MB
Dependencies:
42
Created: over 4 years ago
Updated: about 1 year ago
Last pushed: 11 months ago
Last synced: 11 months ago
Files
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Readme
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Dependencies
requirements.txt
pypi
- Shapely ==1.8.1.post1
- ads ==0.12.3
- augment ==0.4
- bibtexparser ==1.2.0
- cc ==0.1
- descartes ==1.1.0
- h5py ==3.6.0
- matplotlib ==3.5.1
- mock ==4.0.3
- nltk ==3.7
- numba ==0.53.1
- numpy ==1.22.2
- palettable ==3.3.0
- pandas ==1.3.1
- plotly ==5.7.0
- pytest ==6.2.4
- rebound ==3.19.2
- scikit_learn ==1.0.2
- scipy ==1.8.0
- simple_augment.egg ==info
- tqdm ==4.63.0
- verdict ==1.1.4
- verdict.egg ==info
setup.py
pypi
- Shapely >=1.8.1.post1
- ads >=0.12.3
- bibtexparser >=1.2.0
- descartes >=1.1.0
- h5py >=3.6.0
- matplotlib >=3.2.2
- mock >=4.0.2
- nltk >=3.5
- numba >=0.51.2
- numpy >=1.19.1
- palettable >=3.3.0
- pandas >=1.1.4
- plotly >=4.11.0
- pytest >=6.0.1
- scikit_learn >=1.0.2
- scipy >=1.5.0
- simple-augment >=1.0
- tqdm >=4.46.0
- verdict >=1.1.4