optuna/optuna-examples
Examples for https://github.com/optuna/optuna
This project provides practical, ready-to-use code examples for optimizing various parameters in your models and algorithms. It takes in your model's objective function and returns the best combination of parameters to achieve desired outcomes, such as higher accuracy or faster performance. Machine learning engineers, data scientists, and researchers will find this useful for fine-tuning their models and experiments across different frameworks.
838 stars.
Use this if you need to find the best configuration for your machine learning models, simulations, or other algorithms, and you want to see concrete examples across popular frameworks like PyTorch, scikit-learn, or TensorFlow.
Not ideal if you are looking for a conceptual guide to optimization theory rather than practical, runnable code.
Stars
838
Forks
195
Language
Python
License
MIT
Category
Last pushed
Mar 13, 2026
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