Weights and Biases, is a machine learning platform that provides tools and infrastructure to help researchers, data scientists, and machine learning engineers track, visualize, and optimize their machine learning experiments. It is designed to make the development and deployment of machine learning models more efficient and effective.
MLflow is an open-source platform for managing the end-to-end machine learning lifecycle. It was developed by Databricks and is widely used in the data science and machine learning community. MLflow provides a unified interface for various components of the machine learning process, making it easier to manage, track, and reproduce machine learning experiments.
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