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
Materials for the Text to Tech workshop at the Digital Humanities Oxford Summer School
A django-based library for managing the Living with Machines newspapers metadata database schema
Converts metadata from alto2txt into JSON data with corresponding relational IDs for ingestion into a relational database
Collection of tutorials for DeezyMatch (https://github.com/Living-with-machines/DeezyMatch)
Tools to train and explore diachronic word embeddings from Big Historical Data
Code for the CHR paper "Whose News? Critical methods for assessing bias and missingness in large historical datasets"
Materials for the Text to Tech workshop at the Digital Humanities Oxford Summer School
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