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fast-pytorch-kmeans

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0.2.2 fast_pytorch_kmeans-0.2.2-py3-none-any.whl

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Project: fast-pytorch-kmeans
Version: 0.2.2
Filename: fast_pytorch_kmeans-0.2.2-py3-none-any.whl
Download: [link]
Size: 9750
MD5: 063226b6cc83daeb164d7ee30078ec29
SHA256: dd79f5123893ab905af9eeda3eb387e5f91811591c6c3963d3536544d07d43ac
Uploaded: 2024-12-05 02:59:22 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: fast_pytorch_kmeans
Version: 0.2.2
Summary: a fast kmeans clustering algorithm implemented in pytorch
Author: demoriarty
Author-Email: sahbanjan[at]gmail.com
Home-Page: https://github.com/DeMoriarty/fast_pytorch_kmeans
Download-Url: https://github.com/DeMoriarty/fast_pytorch_kmeans/archive/v_020.tar.gz
License: MIT
Keywords: KMeans,K-means,pytorch,machine learning
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Requires-Dist: numpy
Requires-Dist: torch
License-File: LICENSE.txt
[No description]

WHEEL

Wheel-Version: 1.0
Generator: setuptools (75.6.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
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fast_pytorch_kmeans/init_methods.py sha256=AU7ss3UOYT6Ojho09Di4oyJ5MJTujx7xpW-2eDyEuQ4 4316
fast_pytorch_kmeans/kmeans.py sha256=lxIjaR7k_D4kaqZe4wC5K_mMRSwDAGoCx0wmsYMLONA 7059
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fast_pytorch_kmeans/util.py sha256=e6WdiSpGyDQDDM-8kdS-JDB2TpcI13EQgBC0lGYytLg 2477
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fast_pytorch_kmeans-0.2.2.dist-info/top_level.txt sha256=4CC8v5SL6v6ZMa3EBNqQtxZWkTxPWuEzUQ7PbTcplWM 20
fast_pytorch_kmeans-0.2.2.dist-info/RECORD — —

top_level.txt

fast_pytorch_kmeans