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[P] AmpliGraph 1.1.0: user-friendly knowledge graph embeddings library with state-of-the-art results

We have just released a new version of AmpliGraph. It is available from pypi, all you have to do is run pip install –upgrade ampligraph. It requires TensorFlow 1.13 or 1.14 to be installed.

For beginners, we have two new tutorials: * Basics with Game of Thrones data * Clustering and classification with football data

For advanced users, we have a new knowledge discovery API, including discover facts, clustering, near-duplicates detection, and topn query.

We also provide state-of-the-art results on two benchmark datasets (WN18RR and YAGO3-10), plus competitive results on other benchmarks. These results are fully reproducible.

The updated documentation with the complete changelog is available here: http://docs.ampligraph.org

If you have any questions or feedback, you can comment here or raise an issue on GitHub.

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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.