Metadata-Version: 2.1
Name: Doric
Version: 1.1.1
Summary: Doric is a lightweight library for implementing and extending progressive neural networks.
Home-page: https://github.com/arcosin/Doric
Author: Maxwell J. Jacobson
Author-email: jacobs57@purdue.edu
License: MIT
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/markdown
Requires-Dist: pytorch

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# Doric
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![Doric_Logo.png](/Doric_Logo_Small.png)

Doric is a lightweight library for implementing and extending progressive neural networks (https://arxiv.org/pdf/1606.04671.pdf).
It is a free and open-source library built atop PyTorch.

Doric utilizes user-made blocks to design column networks, which are then generated for new tasks in the prognet.
We support inert blocks (blocks without laterals) and multi-channel blocks.

Thank you to Case Wright for help in developing Doric and writing all of our autoencoder tests, and to Molly Jacobson for the Doric logo.

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