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.

Generalized and Efficient Blackbox Optimization System.

Towards Generalized and Efficient Blackbox Optimization System/Package (KDD 2021 & JMLR 2024)

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.

Experimental Global Optimization Algorithm

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

Powell's Derivative-Free Optimization solvers.

NOMAD - A blackbox optimization software

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

A hyperparameter optimization framework, inspired by Optuna.

Elo ratings for global black box derivative-free optimizers

Heuristic Optimization for Python

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

Distribution transparent Machine Learning experiments on Apache Spark

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

Python library for parallel multiobjective simulation optimization

[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

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