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deepneighbor

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0.3.1 deepneighbor-0.3.1-py3-none-any.whl

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Project: deepneighbor
Version: 0.3.1
Filename: deepneighbor-0.3.1-py3-none-any.whl
Download: [link]
Size: 14896
MD5: 71e2a0f52b78ba439a83f1026b2d809e
SHA256: 6a3b9ffa7143e80849c79c982d22d81bfa48ab6e0c911ac191d813fb1c3b3bae
Uploaded: 2020-08-28 05:44:42 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: deepneighbor
Version: 0.3.1
Summary: embedding-based item nearest neighborhoods extraction
Author: Yufeng Wang
Author-Email: louiswang524[at]gmail.com
Home-Page: https://github.com/LouisBIGDATA/deepneighbor
Keywords: embedding,information retrieval,deep learning,torch,tensor,pytorch,nearest neighbor
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.4
Requires-Dist: h5py
Requires-Dist: requests
Requires-Dist: gensim (==3.7.0)
Requires-Dist: tqdm
Requires-Dist: numpy
Requires-Dist: scikit-learn
Requires-Dist: pandas
Requires-Dist: annoy
Requires-Dist: dgl
Requires-Dist: torch (>=1.1.0)
Description-Content-Type: text/markdown
[Description omitted; length: 4702 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.34.2)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

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deepneighbor-0.3.1.dist-info/RECORD — —

top_level.txt

deepneighbor