Algorithmic inference using Neural Turing Machines

Final project for University of London, Goldsmith, 2023 by Nikolay Rys.

Main idea

NTM machines to learn regex from data.

Project structure

The main code is located in the ntm-regex.ipynb notebook that contains the model definitions and experiments.
The implementation for NTM for Tensorflow 2.0 is located in the ntm.py file.
datagen.py contains the code for generating data for the experiments.
In the artefacts folder you can find the saved models.
In the datasets folder you can find the datasets used for the experiments.

Requirements

Python 3.9
Tensorflow 2.4+
CUDA 11.0+
cuDNN 8.0+
automata_toolkit 0.1.0

Licenced as LGPLv3 because the initial code is based on the Neural Turing Machines by Mark Collier