This repository contains codes related to the concepts General Pattern Theory (GPT) from: Grenander, U. General Pattern Theory: A Mathematical Study of Regular Structures. Oxford Mathematical Monographs. Clarendon Press, 1993. ISBN 9780198536710. We refer to this as the textbook.
See "Get Started.docx" in notebooks folder.
Currently available:
1. src/APL_to_python
The folder contains python version of APL codes in the textbook. See "Get Started.docx" to read about step by step translations plus simple testings. Or, jump directly to the results using the following (also try it with different example_n):
python simple_algo_section4.2.2.py --example_n 1
2. src/gpt_mnist
The folder contains source codes related to the paper titled Convolutional Neural Network Interpretability with General Pattern Theory.
3. src/gpt_genmod
The related report is titled A Modified Convolutional Network for Auto-encoding based on Pattern Theory Growth Function .