blackbox-optimization

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

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 framework, inspired by Optuna.

Elo ratings for global black box derivative-free optimizers

NOMAD - A blackbox optimization software

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

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

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

Generalized and Efficient Blackbox Optimization System.

Python library for parallel multiobjective simulation optimization

Black box hyperparameter optimization made easy.

Heuristic Optimization for Python

[ICLR'24] "DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training" by Aochuan Chen*, Yimeng Zhang*, Jinghan Jia, James Diffenderfer, Jiancheng Liu, Konstantinos Parasyris, Yihua Zhang, Zheng Zhang, Bhavya Kailkhura, Sijia Liu

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

Julia interface to the NOMAD blackbox optimization software