Co-founder of Sematic
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About Emmanuel Turlay
Sematic helps Machine Learning and Data Science developers transition from Jupyter Notebook prototypes to continuous learning pipelines in days not weeks.
Sematic is a lightweight open-source ML/DS pipeline development and execution framework based on learnings from working at Cruise.
With easy-as-pie onboarding, simply use native Python to develop and run arbitrary end-to-end pipelines that track and version all your assets and artifacts (models, datasets, plots, metrics, etc.), and visualize them in a slick UI.
Collaborate with your team in Sematic to keep the conversation close to the data context.
Soon, you will be able to automate, schedule, and clone pipelines at will with no-code; to scale yourself and your team out and focus on new models instead of babysitting old ones forever.