black-box-optimization
There are 101 repositories under black-box-optimization topic.
EMI-Group/evox
Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.
CyberAgentAILab/cmaes
Python library for CMA Evolution Strategy.
txsun1997/Black-Box-Tuning
ICML'2022: Black-Box Tuning for Language-Model-as-a-Service & EMNLP'2022: BBTv2: Towards a Gradient-Free Future with Large Language Models
rmsolgi/geneticalgorithm
Genetic Algorithm Package for Python
Evolutionary-Intelligence/pypop
[JMLR (CCF-A)] PyPop7: A Pure-PYthon LibrarY for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* algorithm variants (from evolutionary computation, swarm intelligence, statistics, operations research, machine learning, mathematical optimization, meta-heuristics, auto-control etc.). [https://jmlr.org/papers/v25/23-0386.html]
dme65/pySOT
Surrogate Optimization Toolbox for Python
Lichang-Chen/InstructZero
Official Implementation of InstructZero; the first framework to optimize bad prompts of ChatGPT(API LLMs) and finally obtain good prompts!
mlr-org/mlrMBO
Toolbox for Bayesian Optimization and Model-Based Optimization in R
avaneev/biteopt
Derivative-Free Global Optimization Algorithm (C++, Python binding) - Continuous, Discrete, TSP, NLS, MINLP
pablormier/yabox
Yet another black-box optimization library for Python
JuliaNonconvex/Nonconvex.jl
Toolbox for gradient-based and derivative-free non-convex constrained optimization with continuous and/or discrete variables.
changdaeoh/BlackVIP
Official implementation for CVPR'23 paper "BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning"
Eric-Bradford/TS-EMO
This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).
optuna/kurobako
A black-box optimization benchmark tool
GMC-DRL/MetaBox
MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning (https://proceedings.neurips.cc/paper_files/paper/2023/hash/232eee8ef411a0a316efa298d7be3c2b-Abstract-Datasets_and_Benchmarks.html)
cog-imperial/entmoot
Multiobjective black-box optimization using gradient-boosted trees
Stefan-Endres/shgo
Simplicial Homology Global Optimization
xqlin98/INSTINCT
This is the official implementation for the paper: Use Your INSTINCT: INSTruction optimization usIng Neural bandits Coupled with Transformers
cobyqa/cobyqa
A derivative-free solver for general nonlinear optimization.
hackingmaterials/rocketsled
plug-n-play black box optimizer for high-throughput computing
GMC-DRL/Awesome-MetaBBO
A collection of MetaBBO papers and code sources
yunyuntsai/Black-box-Adversarial-Reprogramming
Code for "Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources". (ICML 2020)
automl/DACBench
A benchmark library for Dynamic Algorithm Configuration.
sile/tpe
A TPE (Tree-structured Parzen Estimator) implementation in Rust
lamda-bbo/WireMask-BBO
Official implementation of NeurIPS'23 paper "Macro Placement by Wire-Mask-Guided Black-Box Optimization"
mlr-org/mlr3mbo
Flexible Bayesian Optimization in R
mlr-org/bbotk
Black-box optimization framework for R.
giuse/machine_learning_workbench
Workbench for practical machine learning in Ruby.
aryandeshwal/BOPS
Python implementation of Bayesian optimization over permutation spaces.
nomuramasahir0/crfmnes
(CEC2022) Fast Moving Natural Evolution Strategy for High-Dimensional Problems
owruby/nelder_mead
A Python easy implementation of the Nelder-Mead method
Evolutionary-Intelligence/dpop7
A ray-based library of Distributed POPulation-based OPtimization for Large-Scale Black-Box Optimization.
lamda-bbo/offline-moo
Official implementation of ICML'24 paper "Offline Multi-Objective Optimization".
OfirKP/CamelsOptimizer
Yes, it's a camel case.
prescient-design/holo-bench
Benchmark for Biophysical Sequence Optimization Algorithms