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

Generalized and Efficient Blackbox Optimization System

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

Elo ratings for global black box derivative-free optimizers

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

Generalized and Efficient Blackbox Optimization System.

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

Python library for parallel multiobjective simulation optimization

Black box hyperparameter optimization made easy.

Heuristic Optimization for Python

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

[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

Blackbox optimization algorithms with a common interface, along with useful helpers like parallel optimization loops, analysis and visualization scripts.

Robustify Black-Box Models (ICLR'22 - Spotlight)

A simple black-box optimization framework to train your pytorch models for optimizing non-differentiable objectives

Implementation of Reinforcement Algorithms from scratch

Benchmarking optimization solvers.