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SpaX

Pythonic, type-safe search space configuration for HPO (hyperparameter optimization), NAS (neural architecture search), and ML experiment tracking. Define complex search spaces with conditional parameters, automatic validation, and zero boilerplate. Pydantic-based, Optuna-ready to nail hyperparameter tuning.

automl configuration configuration-management deep-learning experiment experiment-tracking hpo hyperparameter-optimization hyperparameter-tuning machine-learning

Creat：2025-10-19T02:51:12

Update：2025-10-28T02:10:37

https://pypi.org/project/spax/

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