Optuna

Optuna is an open-source hyperparameter optimization framework designed to automate the process of searching for optimal hyperparameters in machine learning and deep learning workflows. It is framework-agnostic, supporting popular frameworks like PyTorch, TensorFlow, Keras, Scikit-Learn, XGBoost, LightGBM, and more. Features include state-of-the-art optimization algorithms, easy parallelization, and a user-friendly API for conducting, managing, and visualizing optimization studies. Designed for data scientists, ML engineers, and researchers looking to achieve maximum model performance with minimal manual tuning.