Metadata-Version: 2.1
Name: ivy-builder
Version: 0.0.1.post0
Summary: Build custom Ivy training tasks with clear, hierarchical and robust user specifications.
Home-page: https://unify.ai/docs/builder
Author: Unify
Author-email: hello@unify.ai
License: Apache 2.0
Project-URL: Docs, https://unify.ai/docs/builder/
Project-URL: Source, https://github.com/unifyai/builder
Classifier: License :: OSI Approved :: Apache Software License
Description-Content-Type: text/x-rst
License-File: LICENSE

.. image:: https://github.com/unifyai/unifyai.github.io/blob/master/img/externally_linked/logo.png?raw=true#gh-light-mode-only
   :width: 100%
   :class: only-light

.. image:: https://github.com/unifyai/unifyai.github.io/blob/master/img/externally_linked/logo_dark.png?raw=true#gh-dark-mode-only
   :width: 100%
   :class: only-dark



**Build custom Ivy training tasks with clear, hierarchical and robust user specifications.**



.. image:: https://github.com/unifyai/unifyai.github.io/blob/master/img/externally_linked/logos/supported/frameworks.png?raw=true
   :width: 100%

**Ivy Libraries**

There are a host of derived libraries written in Ivy, in the areas of mechanics, 3D vision, robotics, gym environments,
neural memory, pre-trained models + implementations, and builder tools with trainers, data loaders and more!



.. image:: https://github.com/unifyai/unifyai.github.io/blob/master/img/externally_linked/ivy_libraries.png?raw=true
   :width: 100%













Citation
--------

::

    @article{lenton2021ivy,
      title={Ivy: Templated deep learning for inter-framework portability},
      author={Lenton, Daniel and Pardo, Fabio and Falck, Fabian and James, Stephen and Clark, Ronald},
      journal={arXiv preprint arXiv:2102.02886},
      year={2021}
    }
