JAAEC


NameJAAEC JSON
Version 0.1.6 PyPI version JSON
download
home_pagehttps://github.com/bugsiesegal/JAAEC
SummaryJake's Amazing Autoencoder is an amazing autoencoder designed for time series applications.
upload_time2023-10-29 00:57:27
maintainer
docs_urlNone
authorJake Segal
requires_python>=3.8
licenseMIT license
keywords jaaec
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI
coveralls test coverage No coveralls.
            ==========================
Jake's Amazing AutoEnCoder
==========================


.. image:: https://img.shields.io/pypi/v/JAAEC.svg
        :target: https://pypi.python.org/pypi/JAAEC

.. image:: https://readthedocs.org/projects/JAAEC/badge/?version=latest
        :target: https://JAAEC.readthedocs.io/en/latest/?version=latest
        :alt: Documentation Status




Jake's Amazing Autoencoder is an amazing autoencoder designed for time series applications.


* Free software: MIT license
* Documentation: https://JAAEC.readthedocs.io.


Features
--------

* TODO

Credits
-------

This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.

.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage


=======
History
=======

0.1.0 (2023-07-18)
------------------

* First release on PyPI.

            

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