Metadata-Version: 2.1
Name: cbloss
Version: 0.1.0
Summary: PyTorch implementations of two popular loss functions for imbalanced classification problems: Class Balanced Loss and Focal Loss.
Home-page: https://github.com/wildoctopus/cbloss
Author: Alok Pandey
License: MIT
Keywords: pytorch,loss,class-balanced,classification-loss,focal-loss,FocalLoss,cb_loss,cbloss
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Education
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: torch
Provides-Extra: dev
Requires-Dist: black (==21.7b0) ; extra == 'dev'
Requires-Dist: flake8 (==3.9.2) ; extra == 'dev'
Requires-Dist: isort (==5.9.2) ; extra == 'dev'
Requires-Dist: click (==8.0.4) ; extra == 'dev'
Requires-Dist: importlib-metadata (<4.3,>=1.1.0) ; (python_version < "3.8") and extra == 'dev'
Provides-Extra: tests
Requires-Dist: black (==21.7b0) ; extra == 'tests'
Requires-Dist: flake8 (==3.9.2) ; extra == 'tests'
Requires-Dist: isort (==5.9.2) ; extra == 'tests'
Requires-Dist: click (==8.0.4) ; extra == 'tests'
Requires-Dist: importlib-metadata (<4.3,>=1.1.0) ; (python_version < "3.8") and extra == 'tests'

# cbloss
Pytorch implementation of Class Balanced Loss based on Effective number of Samples 
