Metadata-Version: 2.1
Name: mixturelib
Version: 0.4.0
Summary: mixture lib, python package
Home-page: https://github.com/andriygav/MixtureLib
Author: Andrey Grabovoy
Author-email: grabovoy.av@phystech.edu
License: MIT
Platform: UNKNOWN
Requires-Dist: torch (>=1.3.1+cpu)
Requires-Dist: numpy (>=1.18.1)

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Mixture Lib
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|test| |codecov| |docs| |readthedocs| |pypi| 

.. |test| image:: https://github.com/andriygav/MixtureLib/workflows/test/badge.svg
    :target: https://github.com/andriygav/MixtureLib/tree/master
    :alt: Test status

.. |codecov| image:: https://img.shields.io/codecov/c/github/andriygav/mixturelib/master
    :target: https://github.com/andriygav/MixtureLib/tree/master
    :alt: Test coverage

.. |docs| image:: https://github.com/andriygav/MixtureLib/workflows/docs/badge.svg
    :target: https://andriygav.github.io/MixtureLib/
    :alt: Build status

.. |readthedocs| image:: https://img.shields.io/readthedocs/mixturelib/stable?label=readthedocs
    :target: https://mixturelib.readthedocs.io/en/stable/
    :alt: ReadTheDocs

.. |pypi| image:: https://img.shields.io/pypi/v/MixtureLib
    :target: https://pypi.org/project/MixtureLib/
    :alt: PyPI

Basic information
=================

Implementation code for a mixture of models. The `source code <https://github.com/andriygav/MixtureLib/tree/master/src>`_ for the problem of the mixture of models and the task of the mixture of experts is presented.

All methods were implemented based on ``pytorch`` for simple parallelization by using ``cuda``.

All information about this project can be found in the `documentation <https://andriygav.github.io/MixtureLib/>`_.

Requirements and Installation
=============================
A simple instruction of installation using pip is provided near the `source code <https://github.com/andriygav/MixtureLib/tree/master/src>`_.

More information about installation can be found in documentation `installation <https://andriygav.github.io/MixtureLib/installation.html>`_ page.

Example of use
==============
A simple examples of module usage can be found in documentation `example <https://andriygav.github.io/MixtureLib/example.html>`_ page.




