There are 5 repositories under black-box-optimization topic.
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
Official Implementation of InstructZero; the first framework to optimize bad prompts of ChatGPT(API LLMs) and finally obtain good prompts!
PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants. https://pypop.rtfd.io/
Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.
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).
Multiobjective black-box optimization using gradient-boosted trees
Simplicial Homology Global Optimization
plug-n-play black box optimizer for high-throughput computing
Code for "Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources". (ICML 2020)
A derivative-free solver for general nonlinear optimization.
A ray-based library of Distributed POPulation-based OPtimization for Large-Scale Black-Box Optimization.
Workbench for practical machine learning in Ruby.
Yes, it's a camel case.
(CEC2022) Fast Moving Natural Evolution Strategy for High-Dimensional Problems
A Python easy implementation of the Nelder-Mead method
Python implementation of Bayesian optimization over permutation spaces.
DEFT-FUNNEL: An open-source global optimization solver for constrained grey-box and black-box problems in Matlab.
Python implementation of Mercer Features for Efficient Combinatorial Bayesian Optimization
GARNE: Genetic-Algorithm-with-Recurrent-Network-and-Novelty-Exploration
A Python library to help implement kurobako's solvers and problems