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.
Living with Machines
A radical collaboration between computational linguists, curators, data scientists, software engineers, geographers and historians
Popular repositories Loading
-
DeezyMatch
DeezyMatch PublicA Flexible Deep Learning Approach to Fuzzy String Matching
-
DiachronicEmb-BigHistData
DiachronicEmb-BigHistData PublicTools to train and explore diachronic word embeddings from Big Historical Data
-
D3_JS_viz_in_a_Python_Jupyter_notebook
D3_JS_viz_in_a_Python_Jupyter_notebook PublicTutorial code showing how to put a D3 JavaScript visualisation in a Python Jupyter notebook.
Repositories
Showing 10 of 52 repositories
- dhoxss-text2tech Public
Materials for the Text to Tech workshop at the Digital Humanities Oxford Summer School
Living-with-machines/dhoxss-text2tech’s past year of commit activity - alto2txt2fixture Public
Converts metadata from alto2txt into JSON data with corresponding relational IDs for ingestion into a relational database
Living-with-machines/alto2txt2fixture’s past year of commit activity - jisc-wrangler Public
Tool for restructuring data in the JISC 19th Century British Library Newspaper collection
Living-with-machines/jisc-wrangler’s past year of commit activity - label-studio-converter Public
Create ready-to-use Label Studio pre-populated JSON files from popular OCR formats.
Living-with-machines/label-studio-converter’s past year of commit activity