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A platform that helps manage and track experiments during machine learning development. It allows teams to compare models, parameters, and results in one place.
| First released | 2018 |
| Developed by | Databricks |
| Open-source | Yes |
MLflow is commonly used in data science teams to improve collaboration and reproducibility of experiments.
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