The following pages link to scikit-optimize (Q52750):
Displaying 9 items.
- A physics-informed operator regression framework for extracting data-driven continuum models (Q2020813) (← links)
- Hyperparameter optimization for recommender systems through Bayesian optimization (Q2033691) (← links)
- Learning context-dependent choice functions (Q2069057) (← links)
- On the implementation of a global optimization method for mixed-variable problems (Q2165595) (← links)
- Conditional physics informed neural networks (Q2247060) (← links)
- DeepBND: a machine learning approach to enhance multiscale solid mechanics (Q2687559) (← links)
- (Q5054669) (← links)
- On the Generalizability of Machine-Learning-Assisted Anisotropy Mappings for Predictive Turbulence Modelling (Q5880411) (← links)
- Comparative analysis of machine learning methods for active flow control (Q5882038) (← links)
