Metadata-Version: 2.1
Name: sliced-wasserstein
Version: 0.1.0
Summary: A package to compute sliced wasserstein distance on pytorch tensors
Home-page: https://github.com/mmathew23/sliced_wasserstein
Author: Mathew J. Mathew
Author-email: mathew.jude.mathew@gmail.com
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: MIT License
Classifier: Environment :: GPU :: NVIDIA CUDA
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Description-Content-Type: text/markdown


    This package contains utils to help define your own sliced wasserstein distance for ML
    training. It currently supports Generalized Sliced Wasserstein distance and Max Generalized
    Sliced Wasserstein Distance. You can also add support for different projectors.
    
