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)

Experimental Global Optimization Algorithm

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

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

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

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.

Black box hyperparameter optimization made easy.

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

Mixed Adaptive Random Search (MARS) for Optimization

Blackbox provides a standarized and efficient interface for evaluating variety of blackbox functions for various surrogate-based design activities