AI GlossaryMLflowENTRY — AI Tools
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MLflow.
An open-source platform for managing the ML lifecycle including experimentation, reproducibility, and deployment.
In-depth explanation
01MLflow provides tools for tracking experiments (logging parameters, metrics, artifacts), packaging code (MLflow Projects), managing models (Model Registry), and serving models (MLflow Models). It's framework-agnostic and integrates with popular ML libraries. MLflow helps teams organize, compare, and reproduce ML experiments.
Examples
02EX. 01
Tracking model experiments
EX. 02
Comparing different runs
EX. 03
Deploying models
Related terms
03More in AI Tools
0401Hugging FaceA platform and library for sharing and using pre-trained ML models, especially for NLP.02PyTorchAn open-source machine learning framework developed by Meta AI, popular in research.03TensorFlowAn open-source machine learning framework developed by Google for building and deploying ML models.
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