:fish:Tunny:fish: is Grasshopper's optimization component using Optuna, an open source hyperparameter auto-optimization framework.
The following is taken from the official website
Optuna™, an open-source automatic hyperparameter optimization framework, automates the trial-and-error process of optimizing the hyperparameters. It automatically finds optimal hyperparameter values based on an optimization target. Optuna is framework agnostic and can be used with most Python frameworks, including Chainer, Scikit-learn, Pytorch, etc.
Optuna is used in PFN projects with good results. One example is the second place award in the Google AI Open Images 2018 – Object Detection Track competition.
Optuna official site
First, Tunny runs on Windows only.
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Tunny is licensed under the MIT license.
Copyright© 2022, hrntsm
Tunny use TT-DesignExplorer & Python runtime & some python packages. These depend on their own licenses. Please see PYTHON_PACKAGE_LICENSE for more license information.
Please see Tunny documentation page.