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SpaX

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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.

automlconfigurationconfiguration-managementdeep-learningexperimentexperiment-trackinghpohyperparameter-optimizationhyperparameter-tuningmachine-learning
Creat：2025-10-19T02:51:12
Update：2025-10-28T02:10:37
https://pypi.org/project/spax/
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