benchscofi

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2.0.0 benchscofi-2.0.0-py3-none-any.whl

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Project: benchscofi
Version: 2.0.0
Filename: benchscofi-2.0.0-py3-none-any.whl
Download: [link]
Size: 73758
MD5: 9eb9bdbf2fe9eb761c2271c2d23c762a
SHA256: 2eeaac9bf708c027f81a24862124d27544a5e24aa1ab2519a7b7879bacbe774a
Uploaded: 2024-01-22 11:19:01 +0000

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METADATA

Metadata-Version: 2.1
Name: benchscofi
Version: 2.0.0
Summary: Package which contains implementations of published collaborative filtering-based algorithms for drug repurposing.
Author: Clémence Réda
Author-Email: recess-project[at]proton.me
Home-Page: https://github.com/RECeSS-EU-Project/benchscofi
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: License :: OSI Approved :: MIT License
Requires-Python: >=3.8.5
Requires-Dist: stanscofi (>=2.0.0)
Requires-Dist: tensorflow (==2.4.3)
Requires-Dist: pulearn (>=0.0.7)
Requires-Dist: torch (>=2.0.1)
Requires-Dist: fastai (>=2.7.12)
Requires-Dist: torch-geometric (>=2.3.1)
Requires-Dist: pyFFM
Requires-Dist: protobuf (==3.9.*)
Requires-Dist: pydantic (==1.9.*)
Requires-Dist: pytorch-lightning (<2.0.0)
Requires-Dist: torchmetrics
Requires-Dist: numpy (==1.19.4)
Requires-Dist: scikit-learn (==1.2.*)
Requires-Dist: dgl (>=1.1.1)
Requires-Dist: libmf (>=0.9.2)
Requires-Dist: xgboost (>=2.0.2)
Description-Content-Type: text/markdown
[Description omitted; length: 12970 characters]

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top_level.txt

benchscofi