fuzzylabs/awesome-open-mlops

This guide provides a curated list of free and open-source tools for MLOps, which is a discipline focused on successfully training, deploying, and managing machine learning models in production. It helps data scientists, machine learning engineers, and MLOps practitioners navigate the vast landscape of tools for tasks like data annotation, validation, experiment tracking, and model deployment. The guide offers an organized overview of various tools, making it easier to select the right ones for different stages of the machine learning lifecycle.

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