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Comet review
ML Engineer at a energy/utilities company with 51-200 employees
Centralized experiment tracking has improved reproducibility and collaboration...
Comet is a very powerful tool for experiment tracking and MLOps workflows, but the platform is somewhat complex for teams that are not initially familiar with the structured practices that have to be followed in MLOps. Understanding experiment organization, integrations, and tracking workflows requires some onboarding. Pricing is one of the...
Comet review
student at a university with 5,001-10,000 employees
Organizing research experiments has improved and supports faster model comparison...
My experience with Comet has been very positive, but there are a few areas where it could be improved. One area is the learning curve for new users. Some of the more advanced features can feel overwhelming at first, especially for students who are new to machine learning experiment tracking. More beginner-friendly tutorials and guided...
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