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I love transforming NLP research into easy-to-use frameworks that can be used by large audiences.
Some of my open-source projects:
- sentence-transformers is a framework to compute multilingual text & image embeddings. It can be used for semantic search, clustering, topic extraction, de-duplication and many more use-cases. Sentence-transformers is under active development, where I work with a team of Ph.D. students to improve the quality of the available models and of the framework.
- EasyNMT makings using state-of-the-art Neural Machine Translation really easy for 100+ languages.
Also have a look at my research: I like to address questions in the area of domain adaptation and multilinguality in the area of semantic search / neural search. Each research finding (paper, models, datasets, code) will be released to the public.
2 sponsors have funded nreimers’s work.
Featured work
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UKPLab/sentence-transformers
State-of-the-Art Text Embeddings
Python 15,307 -
UKPLab/EasyNMT
Easy to use, state-of-the-art Neural Machine Translation for 100+ languages
Python 1,170
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