Optuna is an open-source hyperparameter optimization framework that simplifies the search for optimal hyperparameters in machine learning and deep learning models. Its key features include an eager search of hyperparameter spaces using Python syntax, state-of-the-art algorithms for efficient exploration, and easy parallelization to speed up the process across multiple threads or processes without code modifications.

Optuna is also framework agnostic, seamlessly integrating with various machine learning frameworks, making it a versatile and user-friendly tool for automating hyperparameter search tasks.

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