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0.1.2 geometricconvolutions-0.1.2-py3-none-any.whl

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Project: geometricconvolutions
Version: 0.1.2
Filename: geometricconvolutions-0.1.2-py3-none-any.whl
Download: [link]
Size: 72410
MD5: e9356c1ded9125d30b813571abf2e946
SHA256: f1b77405b039e12ed36672628cc52be43585f16236e1f0ac6852da8dcbfdaa57
Uploaded: 2024-10-30 03:34:30 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: geometricconvolutions
Version: 0.1.2
Summary: Package for building Convolutional Neural Networks on images of tensors.
Author: Wilson Gregory, David Hogg
Author-Email: wilson.g.gregory[at]gmail.com
Home-Page: https://github.com/WilsonGregory/GeometricConvolutions
Project-Url: Bug Tracker, https://github.com/WilsonGregory/GeometricConvolutions/issues
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Requires-Dist: matplotlib
Requires-Dist: numpy
Requires-Dist: jax
Requires-Dist: cmastro
Requires-Dist: optax
Requires-Dist: equinox
Requires-Dist: imageio
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 10919 characters]

WHEEL

Wheel-Version: 1.0
Generator: setuptools (75.3.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

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geometricconvolutions/geometric.py sha256=f9Y2sua5rSUmTfVYDqTxp2wVLjjG1b56mW5mboEMDkA 93378
geometricconvolutions/ml.py sha256=U0yxd0gd7ssR1PMGD4DyYPTjxOUlcJFB1Urf8CfSKGs 93825
geometricconvolutions/ml_eqx.py sha256=mWqSFldc6PFODlMnGFVltGmqaKTW_2VroTRK4xwQCyc 38764
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geometricconvolutions/utils.py sha256=G4_QjBuCHlyNOaeXF8kfp6SoSgdq4LE7ydMCeyi7n2c 10251
geometricconvolutions-0.1.2.dist-info/LICENSE sha256=zGuZp8DyPIbqlwJAm90xkzSdbgUEnLzCigxA7eMY6Fc 1070
geometricconvolutions-0.1.2.dist-info/METADATA sha256=LTMxttb0G9WmdgzCpJD2NJGThFr1immlBI2SiSwZxdc 11684
geometricconvolutions-0.1.2.dist-info/WHEEL sha256=P9jw-gEje8ByB7_hXoICnHtVCrEwMQh-630tKvQWehc 91
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geometricconvolutions-0.1.2.dist-info/RECORD — —

top_level.txt

geometricconvolutions