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

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

[JMLR (CCF-A)] PyPop7: A Pure-PYthon LibrarY for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* variants (from evolutionary computation, swarm intelligence, statistics, operations research, machine learning, mathematical optimization, meta-heuristics, etc.). [https://jmlr.org/papers/v25/23-0386.html]

Surrogate Optimization Toolbox for Python

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

Toolbox for Bayesian Optimization and Model-Based Optimization in R

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

MetaBox: Benchmarking Platform for Meta-Black-Box Optimization

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

A collection of MetaBBO papers and code sources

Multiobjective black-box optimization using gradient-boosted trees

Simplicial Homology Global Optimization

This is the official implementation for the paper: Use Your INSTINCT: INSTruction optimization usIng Neural bandits Coupled with Transformers

A derivative-free solver for general nonlinear optimization.