This repository provides example code for Optuna, an open-source hyperparameter optimization framework. The examples cover diverse use cases including simple black-box optimization, multi-objective optimization, integration with popular ML libraries like scikit-learn and PyTorch, and distributed optimization setups. Users can learn how to define objective functions, configure search spaces, and run optimization studies to automatically find optimal hyperparameters for their machine learning models.