bayesian-optimization topic

Automated Machine Learning with scikit-learn

automl

An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

SimonBlanke

A Python implementation of global optimization with gaussian processes.

bayesian-optimization

Sequential model-based optimization with a `scipy.optimize` interface

scikit-optimize

Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks

uber

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

automl

Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.

sherpa-ai

Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.

SimonBlanke

Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB

acerbilab

a distributed Hyperband implementation on Steroids

automl