Croissant is a high-level format for machine learning datasets that brings together four rich layers.
-
Updated
May 24, 2024 - Python
Croissant is a high-level format for machine learning datasets that brings together four rich layers.
Linked Open Usable Data (LOUD) Consistency
Building and Using Knowledge Graphs made easy
YAML-LD implementation for Python
RDFLib is a Python library for working with RDF, a simple yet powerful language for representing information.
JSON-LD processor written in Python
source code for the Ocean InfoHub (OIH) website
Extract embedded metadata from HTML markup
Convert chemical molecule data CSV files to structured data formats
ISCC - JSON-LD Metadata and OpenAPI Service Descriptions
SciDataLib is a package to write SciData framework JSON-LD files. See https://stuchalk.github.io/scidata/ for more information.
OpenAPI keywords for Linked Data
The exported dataset of kiprobatt.de
Server for codemeta, in memory triple store, SPARQL endpoint and simple web-based visualisation for end-user
IMDb + Auto + Unlimited Filter BoT
A sentiment and emotion analysis server in Python
🌎 🖥 Supercharge your scraper to extract quality page metadata by parsing JSON-LD data via Python's extruct library.
Add a description, image, and links to the json-ld topic page so that developers can more easily learn about it.
To associate your repository with the json-ld topic, visit your repo's landing page and select "manage topics."