
Open source MLOps for experiment tracking, pipelines and serving
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ClearML is an open source suite for managing machine learning work from first experiment to deployment. It tracks experiments, versions datasets, orchestrates pipelines and schedules jobs across compute. The tracking is added with a couple of lines of code, which makes it easy for data scientists to start. Platform and MLOps teams use it to share resources and reproduce runs, and the company says over 1,300 enterprises rely on it. It can be self-hosted or used as a managed service.
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