Learn about key emulation concepts with the Emukit Playground.
Launch Playground | Documentation | Contribution guidelines
Emukit Playground is an interactive learning tool teaching users about emulation-based decision making. The playground allows users to train a working emulator in their browser based on visually driven simulations.
This project was released alongside Emukit, a Python toolkit of various methods in uncertainty quantification and statistical emulation: experimental design, Bayesian optimisation, Bayesian quadrature.
We're always open to contributions! Please read our contribution guidelines for more information. We are particularly interested in contributions regarding translations and tutorials.
This project is licensed under Apache 2.0. Please refer to LICENSE and NOTICE for further license information.