Genetic Algorithm Package for Python
-
Updated
Sep 8, 2021 - Python
Genetic Algorithm Package for Python
Python library for CMA Evolution Strategy.
Surrogate Optimization Toolbox for Python
Toolbox for Bayesian Optimization and Model-Based Optimization in R
ICML'2022: Black-Box Tuning for Language-Model-as-a-Service & EMNLP'2022: BBTv2: Towards a Gradient-Free Future with Large Language Models
Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.
PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants. https://pypop.rtfd.io/
Yet another black-box optimization library for Python
This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).
A benchmark library for Dynamic Algorithm Configuration.
Official Implementation of InstructZero; the first framework to optimize bad prompts of ChatGPT(API LLMs) and finally obtain good prompts!
plug-n-play black box optimizer for high-throughput computing
Multiobjective black-box optimization using gradient-boosted trees
Simplicial Homology Global Optimization
Toolbox for gradient-based and derivative-free non-convex constrained optimization with continuous and/or discrete variables.
Black-box optimization framework for R.
A black-box optimization benchmark tool
A Python easy implementation of the Nelder-Mead method
MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning (https://arxiv.org/abs/2310.08252)
A Python library to help implement kurobako's solvers and problems
Add a description, image, and links to the black-box-optimization topic page so that developers can more easily learn about it.
To associate your repository with the black-box-optimization topic, visit your repo's landing page and select "manage topics."