Croissant is a high-level format for machine learning datasets that brings together four rich layers.
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Updated
May 30, 2024 - Python
Croissant is a high-level format for machine learning datasets that brings together four rich layers.
Python library for RDF Schemas generation from prompts using GPT-3 magic 🪄🪄🪄
Scrapes recipes from HTML https://schema.org/Recipe (Microdata/JSON-LD) into Python dictionaries.
Schema.org classes in pydantic
🔍 OpenGraph, Twitter Card and Schema.org snippet tags for Wagtail CMS pages
WG3 Metadata Specification
A Python package for generating and working with codemeta
collection of python scripts for a toolchain to feed an ElasticSearch-Index with bibliographic metadata and harvest RDF out of it
Python bindings for the Sage Knowledge Graph
Server for codemeta, in memory triple store, SPARQL endpoint and simple web-based visualisation for end-user
Convert chemical molecule data CSV files to structured data formats
CLI web crawler that creates a cookbook from recipes found on websites.
Extract metadata from html pages using Open Graph metadata, HTML metadata, and a series of fallbacks
Colorado Alliance of Research Libraries BIBCAT Project
Data model for the Participatory Knowledge Practices in Analogue and Digital Image Archives (PIA) project
Example schema: RDA crosswalk
Hosting CD2H data schemas in schema.org standard
Python-based RO-Crate validator (alpha)
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