MLFlow
Manage the ML lifecycle, including experimentation, deployment, and a central model registry.
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- Machine Learning, Generative AI, Software Engineering for Machine Learning
- added
- 2026-10-10
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Machine Learning › Tools > Misc: “platform to manage the ML lifecycle, including experimentation, reproducibility and deployment. Framework and language agnostic, take a look at all the built-in integrations.”
Generative AI › Coding > Developer tools: “An open-source platform for tracking ML experiments, evaluating models and prompts, deploying models, and adding LLM observability. #opensource”
Software Engineering for Machine Learning › Tooling: “Manage the ML lifecycle, including experimentation, deployment, and a central model registry.”