Lightweight and modular MLOps library targeted at small teams or individuals
Covers essential features like model tracking, versioning, and experiment, providing a foundation for efficient ML project lifecycle management.
Model lifecycle catalog for AI agents: versions, lineage, stage promotion, and approval gates. Audit-friendly governance for which version is in prod, who approved it, and what came before.
Fashion-MNIST classifier with TensorBoard logging and Keras model save/load workflow
This project demonstrates a distributed, dataspace-enabled architecture for optimizing thermoforming machine parameters using machine learning.
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