Experimental Global Optimization Algorithm

Application for global optimization of multiextremal nondifferentiable functions.

Library for global optimization of multiextremal nondifferentiable functions.

Implementation of Reinforcement Algorithms from scratch

A constraint optimizer based intended for noisy black-box functions

Heuristic Optimization for Python

Framework for Black-Box-Optimization of Machine Learning and Neural Network hyper-parameters.

Fair Classification with Gaussian Process (FCGP)

Python implementation of the Active-Set (1+1)-ES

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

Python implementation of Regulated Evolution Strategies with Covariance Matrix Adaption for continuous "Black-Box" optimization problems.

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

Generalized and Efficient Blackbox Optimization System.

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

A tool to visualize multi-dimensional data.

Black box hyperparameter optimization made easy.

Generic implementations of numerical optimization methods. As of now, only cross-entropy method is here.

Statistical learning models library for blackbox optimization

Based on the paper RED-Attack: Resource Efficient Decision-based Imperceptible Attack for Machine Learning https://arxiv.org/pdf/1901.10258.pdf

Distribution transparent Machine Learning experiments on Apache Spark