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