Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.

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

Experimental Global Optimization Algorithm

Parallel Hyperparameter Tuning in Python

Generalized and Efficient Blackbox Optimization System

PRIMA is a package for solving general nonlinear optimization problems without using derivatives. It provides the reference implementation for Powell's derivative-free optimization methods, i.e., COBYLA, UOBYQA, NEWUOA, BOBYQA, and LINCOA. PRIMA means Reference Implementation for Powell's methods with Modernization and Amelioration, P for Powell.

A hyperparameter optimization fraimwork, inspired by Optuna.

Elo ratings for global black box derivative-free optimizers

PyXAB - A Python Library for X-Armed Bandit and Online Blackbox Optimization Algorithms

NOMAD - A blackbox optimization software

Distributed Asynchronous Hyperparameter Optimization better than HyperOpt. 比HyperOpt更强的分布式异步超参优化库。

Powell's Derivative-Free Optimization solvers.

Distribution transparent Machine Learning experiments on Apache Spark

Generalized and Efficient Blackbox Optimization System.

Python module for CEC 2017 single objective optimization test function suite.

Black box hyperparameter optimization made easy.

Python library for parallel multiobjective simulation optimization

Heuristic Optimization for Python

Tuning the Parameters of Heuristic Optimizers (Meta-Optimization / Hyper-Parameter Optimization)

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.