bayesian-optimization topic
limbo
A lightweight framework for Gaussian processes and Bayesian optimization of black-box functions (C++11)
mango
Parallel Hyperparameter Tuning in Python
OCTIS
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
tune-sklearn
A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
syne-tune
Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
FLEXS
Fitness landscape exploration sandbox for biological sequence design.
Cornell-MOE
A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
Simple
Experimental Global Optimization Algorithm
GPflowOpt
Bayesian Optimization using GPflow
goptuna
A hyperparameter optimization framework, inspired by Optuna.