Hyperparameter optimization that enables researchers to experiment, visu...
Parallel Hyperparameter Tuning in Python
Bayesian Optimization using GPflow
A Python library for the state-of-the-art Bayesian optimization algorith...
A hyperparameter optimization framework, inspired by Optuna.
A lightweight framework for Gaussian processes and Bayesian optimization...
Anomaly detection for temporal data using LSTMs
Surrogate Optimization Toolbox for Python
Toolbox for Bayesian Optimization and Model-Based Optimization in R
Gaussian Processes for Experimental Sciences
Bayesian Optimization and Design of Experiments
GPstuff - Gaussian process models for Bayesian analysis
Fitness landscape exploration sandbox for biological sequence design.
A toolset for black-box hyperparameter optimisation.
AutoOED: Automated Optimal Experimental Design Platform