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Sematic is an open-source Continuous Machine Learning platform. With Sematic, ML teams automate recurrent end-to-end ML training pipelines to enable Regression Testing and continuous performance improvement. Data Science and Machine Learning developers can forget about infrastructure and use simple Python to develop arbitrarily complex end-to-end pipelines, run them locally or at scale in the cloud, and track and visualize all artifacts and assets in a modern UI.Something looks off?