EDS-PDF is a generic, pure-Python framework for text extraction from PDF documents. It provides the machinery to use rule- or machine-learning-based approaches to classify text blocs between body a…
Confit is a complete and easy-to-use configuration framework aimed at improving the reproducibility of experiments by relying on the Python type annotations, minimal configuration files and a robust CLI.
jupyter-eds-notebooks provides Docker images with preconfigured Jupyter environments for clinical and health data analysis, tailored for AP‑HP Datalabs and the HELIX platform.
aphp/jupyter-eds-notebooks's past year of commit activity
HELIX (Health and Exploration Lab for Innovative eXperiments) is an AP‑HP open‑source platform that bundles data lab and clinical research tools into a secure, easily deployable Kubernetes stack.
Exemple de metadata-as-code DataHub pour un Entrepôt de Données de Santé (EDS) virtuel : data products, glossaire métier, domaines et conformité HealthDCAT-AP/EHDS.
aphp/datahub-sample's past year of commit activity
You are visitor 01402503 — GeezerVison does not store the pages you look up. Best viewed with Netscape Navigator 4.7 or Internet Explorer 6 at 800×600. No cookies required.