Hannah Bast
@hannahbastLanguage Breakdown
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91
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0
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Search engine for semi-structured data (text and structured data) that provides all kinds of intelligent search features (keyword search, autocompletion, faceted search, error-tolerant search, synonym search, semantic search) very efficiently also on very large data.
Chainer implementation of "Perceptual Losses for Real-Time Style Transfer and Super-Resolution".
Fast Static Symbol Table (FSST): efficient random-access string compression
Calculate statistics for use in a Service Description or Void file
Very fast SPARQL Engine, which can handle very large knowledge graphs like the complete Wikidata, offers context-sensitive autocompletion for SPARQL queries, and allows combination with text search. It's faster than engines like Blazegraph or Virtuoso, especially for queries involving large result sets.
A powerful user interface for QLever that offers context-sensitive SPARQL autocompletion
Code for "Learning to Generate Reviews and Discovering Sentiment"
Open Source Impact
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