https://github.com/neurodata/partition_decode

https://github.com/neurodata/partition_decode

Last synced: about 1 year ago
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• Host: GitHub
• URL: https://github.com/neurodata/partition_decode
• Owner: neurodata
• License: apache-2.0
• Created: 2021-05-05T22:08:49.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2022-01-06T19:58:23.000Z (over 4 years ago)
• Last Synced: 2023-03-11T22:07:51.747Z (over 3 years ago)
• Language: Jupyter Notebook
• Size: 14.2 MB
• Stars: 3
• Watchers: 2
• Forks: 2
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Partition & Decode: an implicit internal representation framework

[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)

[![License](https://img.shields.io/badge/License-MIT-blue)](https://opensource.org/licenses/MIT)

**P**artition **&** **D**ecode (**P&D**): a framework that formalizes an implicit internal representation of parametric and nonparametric models, including Deep Networks and Random Forests.

**This is preliminary work. More details will be available.**

Install from Github

-------------------

You can manually download ``partition_decode`` by cloning the git repo master version and

running the ``setup.py`` file. That is, unzip the compressed package folder

and run the following from the top-level source directory using the terminal::

    $ git clone https://github.com/neurodata/partition_decode.git

    $ cd partition_decode

    $ python3 setup.py install