This is the GitHub organisation for the Living with Machines project. Here you will find code supporting research publications, software, code for working with datasets, workshops and tutorials. Further context for much of this can be found on our project Achievements page and in blog posts.
A Flexible Deep Learning Approach to Fuzzy String Matching
Tools to train and explore diachronic word embeddings from Big Historical Data
Tutorial code showing how to put a D3 JavaScript visualisation in a Python Jupyter notebook.
Converts metadata from alto2txt into JSON data with corresponding relational IDs for ingestion into a relational database
Materials for the Text to Tech workshop at the Digital Humanities Oxford Summer School
A Python package that helps translate from one term to another, depending on a passed date, from a CSV that contains some verified information.
Tools to train and explore diachronic word embeddings from Big Historical Data
This repository provides underlying code and materials for the paper 'Station to Station: Linking and Enriching Historical British Railway Data'.
