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
Popular repositories Loading
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DeezyMatch
DeezyMatch PublicA Flexible Deep Learning Approach to Fuzzy String Matching
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DiachronicEmb-BigHistData
DiachronicEmb-BigHistData PublicTools to train and explore diachronic word embeddings from Big Historical Data
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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
- DiachronicEmb-BigHistData Public
Tools to train and explore diachronic word embeddings from Big Historical Data
Living-with-machines/DiachronicEmb-BigHistData’s past year of commit activity - station-to-station Public
This repository provides underlying code and materials for the paper 'Station to Station: Linking and Enriching Historical British Railway Data'.
Living-with-machines/station-to-station’s past year of commit activity - LwM_SIGSPATIAL2020_ToponymMatching Public
Repository for code underlying the paper 'A Deep Learning Approach to Geographical Candidate Selection through Toponym Matching'.
Living-with-machines/LwM_SIGSPATIAL2020_ToponymMatching’s past year of commit activity - lwm_ARTIDIGH_2020_OCR_impact_downstream_NLP_tasks Public
Repository for code underlying the paper 'Assessing the Impact of OCR Quality on Downstream NLP Tasks'
Living-with-machines/lwm_ARTIDIGH_2020_OCR_impact_downstream_NLP_tasks’s past year of commit activity