Metadata-Version: 2.1
Name: subspyces
Version: 0.0.5
Summary: subspyces - subspaces in python!
Author: Matheus Lima
Author-email: mlima@cvlab.cs.tsukuba.ac.jp
Keywords: python,subspyces,pytorch
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Education
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python :: 3.10
Classifier: Topic :: Scientific/Engineering :: Image Recognition
Classifier: Typing :: Typed
License-File: LICENSE
Requires-Dist: matplotlib>=3.8.0
Requires-Dist: numpy>=1.22.2
Requires-Dist: scikit_learn>=1.2.0
Requires-Dist: setuptools>=68.2.2
Requires-Dist: torch>=2.1.0
Requires-Dist: torchvision>=0.16.0

Pytorch is a very powerfull framework for developing ML algorithms, but implementing subspace methods in torch can be a bit repetitive when we don't have a starting point. For this, we developed this simple library which encapsulates some useful code that can be re-used and easily integrated with other torch codebases.
