Stars
Reproducible, AI-assisted workflow that turns archaeological excavation reports (PDFs) into a structured, dated catalog of Roman-period pottery finds.
A local-first browser 3D design editor for building, cutting, importing STL files, and exporting models.
Sampo-UI – A framework for building user interfaces for semantic portals
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Wasstraat Archeologische Data
Academic LaTeX CV template for emerging and early-career researchers
A data-driven web interface for exploring recurring topics (modeled with BERTopic) in texts from Decidim open data, powered by Cosmos, Scrollama and Chart.js.
AAT-Concepts - a slim of Getty Art & Architecture Theasurus
static site generator for historical data; use the online editor
Two conversational AI agents switching from English to sound-level protocol after confirming they are both AI agents
Repository containing 1) travelogues data corpus gathered from a range of sources, 2) The Jupyter notebooks created to conduct experiments on them and 3) the annotation guidelines used to
Project demonstrating a TDS article about structuring unstructured data using LLMs
machine learning resources for archaeology
This repository contains teaching materials about Agentschap Onroerend Erfgoed services and data
Utility to determine start/end years from textual expressions of year periods
Language model fine-tuning on NER with an easy interface and cross-domain evaluation. "T-NER: An All-Round Python Library for Transformer-based Named Entity Recognition, EACL 2021"
The Linked Pipes of Linked Pasts
The official tool for transforming doccano format into common dataset formats.
Recon NER, Debug and correct annotated Named Entity Recognition (NER) data for inconsistencies and get insights on improving the quality of your data.
Given a scholarly PDF, extract figures, tables, captions, and section titles.
Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.