Python library for CMA Evolution Strategy.

ICML'2022: Black-Box Tuning for Language-Model-as-a-Service & EMNLP'2022: BBTv2: Towards a Gradient-Free Future with Large Language Models

Genetic Algorithm Package for Python

Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.

Surrogate Optimization Toolbox for Python

[JMLR-2024] PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants (-> evolutionary algorithms/swarm-based optimizers/pattern search/...).

Toolbox for Bayesian Optimization and Model-Based Optimization in R

Official Implementation of InstructZero; the first framework to optimize bad prompts of ChatGPT(API LLMs) and finally obtain good prompts!

Derivative-Free Global Optimization Algorithm (C++, Python binding) - Continuous, Discrete, TSP, NLS, MINLP

Yet another black-box optimization library for Python

Toolbox for gradient-based and derivative-free non-convex constrained optimization with continuous and/or discrete variables.

Official implementation for CVPR'23 paper "BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning"

This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).

A black-box optimization benchmark tool

Multiobjective black-box optimization using gradient-boosted trees

MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning (https://arxiv.org/abs/2310.08252)

Simplicial Homology Global Optimization

plug-n-play black box optimizer for high-throughput computing

A derivative-free solver for general nonlinear optimization.

Code for "Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources". (ICML 2020)