- Frankfurt/Main and Mainz, Germany
- https://www.lhlt.mpg.de/wagner
- @anwagnerdreas@hcommons.social
- https://orcid.org/0000-0003-1835-1653
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Collection of notebooks for usage of my ml models
ColBERT: state-of-the-art neural search (SIGIR'20, TACL'21, NeurIPS'21, NAACL'22, CIKM'22, ACL'23, EMNLP'23)
Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts)
Attempt to make multiple residual streams from Bytedance's Hyper-Connections paper accessible to the public
A concise but complete full-attention transformer with a set of promising experimental features from various papers
Named Entity Recognition API used by TEI Publisher
Caddy module to block or manipulate requests originating from AIs or cloud services trying to train on your websites
MkDocs plugin that does the translation of your markdown pages for you
A MkDocs plugin that makes the Material for MkDocs theme look a bit more like MPG.
Create, manage, and run Jupyter notebooks with their dependencies
An open-source compliance-centered evaluation framework for Generative AI models
Send zotero libraby to semantic scholar and add alert on them
Huma REST/HTTP API Framework for Golang with OpenAPI 3.1
Stand-off Text Annotation Model (STAM) is a data model for stand-off-text annotation where any information on a text is represented as an annotation. This repository contains the model's full speci…
Insomnium is a fast local API testing tool that is privacy-focused and 100% local. For testing GraphQL, REST, WebSockets and gRPC. This is a fork of Kong/insomnia
This repository is dedicated to sharing modelling issues, discussions, solutions and the definition of best practices
This Repository is dedicated to the description and publication of the micro-profiles of the SDHSS ontology
Using the Gmail API to topic model my recommended Medium reads
Search engine for finding terms in terminology sources (such as thesauri, classification systems and reference lists)
A minimal Python package for storing and retrieving text using chunking, embeddings, and vector search.
Experiment on metadata extraction using large language models such as GPT-3