Platform for offering datasets and machine learning models. Currently, we have datasets and models for various tasks, such as object detection, HTR, and NER.
These datasets and models are maintained by William J.B. Mattingly
The AI for Humanists project is developing resources to enable DH scholars to explore how large language models and AI technologies can be used in their research and teaching. Find an annotated bibliography of research papers and tools, a glossary of relevant terms, code tutorials, and information about our workshops.
AGAPE is an open-access database which aims to map the reception of the Greek Church Fathers in print throughout early modern Europe. It represents the main outcome of the four-year FNS Ambizione project The Greek Imprint on Europe: Patristics and Publishing in the Early Swiss Reformation, led by Paolo Sachet and based at the Institut d’histoire de la Réformation, University of Geneva.
The string2string library is an open-source tool that offers a comprehensive suite of efficient algorithms for a broad range of string-to-string problems. It includes both traditional algorithmic solutions and recent advanced neural approaches to address various problems in pairwise string alignment, distance measurement, lexical and semantic search, and similarity analysis. Additionally, the library provides several helpful visualization tools and metrics to facilitate the interpretation and analysis of these methods.
Quo vadam? Start here! / How to Use Scrapbox? / Social Networks (Current) / Social Networks (Research) / Initials / Arrows in Manuscripts / Cats and Manuscripts / Standoff Annotation (TEI) / Marginal
The Lat-Epig interface allows you to query the EDCS and save the search result in a TSV file and plot the results on a map of the Roman Empire without any prior knowledge of programming. - GitHub - mqAncientHistory/Lat-Epig: The Lat-Epig interface allows you to query the EDCS and save the search result in a TSV file and plot the results on a map of the Roman Empire without any prior knowledge of programming.
Beautiful visualizations of how language differs among document types. - GitHub - JasonKessler/scattertext: Beautiful visualizations of how language differs among document types.
M. Springstein, S. Schneider, C. Althaus, and R. Ewerth. MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10 - 14, 2022, page 1107--1116. ACM, (2022)
D. Erdmann, and K. Vogel. Digital Turn und Historische Bildungsforschung. Bestandsaufnahme und Forschungsperspektiven, Julius Klinkhardt, Bad Heilbrunn, (2022)
V. Alexiev, and I. Nikolova. Data Sharing, Holocaust Documentation and the Digital Humanities. Best Practices, Benefits, Case Studies (DSDH 2017), Venice, Italy, (June 2017)
E. Losh, and J. Wernimont (Eds.) Debates in the digital humanities University of Minnesota Press, Minneapolis, Minn., (2018)Includes bibliographical references and index.