AI + Machine Learning Canton of Zurich
machinelearningZH
AI is a team sport.
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Transcribe any audio or video file. Edit and view your transcripts in a standalone HTML editor.
Use machine learning to make your institutional communication more understandable and inclusive.
A framework for benchmarking embedding models in hybrid search scenarios (BM25 + vector search) using Weaviate.
A framework for evaluating semantic search across custom datasets, metrics, and embedding backends.
Perform intelligent research over document collections using hybrid search and LLMs.
Powerful, automated research and analysis across your own document collections.
Repositories
19Measure how understandable a German text is.
Convert subtitle files into synchronized German speech audio using OpenAI's Text-to-Speech (TTS) API.
Create Plain Language glossaries from texts, URLs, and files using LLMs.
Behördendeutsch-Removal as an API
Use machine learning to make your institutional communication more understandable and inclusive.
Semantic, lexical, multilingual search in your OGD metadata catalog.
An app that helps you easily create high quality dataset descriptions – with a little help from AI.
Automagically do a deep check of metadata quality of your DCAT OGD offering.
Perform intelligent research over document collections using hybrid search and LLMs.
Detect Anomalies in Vote-Results - powered by Statistics & Machine Learning
A locally operated AI chat with document processing
A framework for benchmarking embedding models in hybrid search scenarios (BM25 + vector search) using Weaviate.
Powerful, automated research and analysis across your own document collections.
Automagically generate drafts for German alt texts for web images using AI.
Intelligent Document Search for the Staatsarchiv Zurich.
Transcribe any audio or video file. Edit and view your transcripts in a standalone HTML editor.
No description provided.
A framework for evaluating semantic search across custom datasets, metrics, and embedding backends.
Projekt «Named Entity Recognition für die zentralen Serien des Staatsarchivs Kanton Zürich»