Projects in Awesome Lists tagged with black-box-optimization
A curated list of projects in awesome lists tagged with black-box-optimization .
https://github.com/emi-group/evox
Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.
black-box-optimization brax derivative-free-optimization evolutionary-algorithms evolutionary-computation evolutionary-optimization evolutionary-reinforcement-learinig evolutionary-strategies gpu-acceleration gradient-free-optimization gym jax metaheuristics multi-objective-optimization neuroevolution population-based-optimization pytorch ray
Last synced: 06 Nov 2025
https://github.com/cyberagentailab/cmaes
Python library for CMA Evolution Strategy.
black-box-optimization cma-es evolution-strategies evolution-strategy hyperparameter-optimization optuna
Last synced: 21 Sep 2025
https://github.com/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
black-box-optimization deep-learning few-shot-learning language-model natural-language-processing pytorch
Last synced: 19 Aug 2025
https://github.com/dme65/pysot
Surrogate Optimization Toolbox for Python
asynchronous bayesian-optimization black-box-optimization gaussian-processes global-optimization global-optimization-algorithms optimization radial-basis-function surrogate-based-optimization surrogate-models
Last synced: 05 Apr 2025
https://github.com/Evolutionary-Intelligence/pypop
[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/...).
black-box-optimization consensus-based-optimization continuous-optimization derivative-free-optimization differential-evolution direct-search estimation-of-distribution-algorithms evolution-strategies evolutionary-algorithms genetic-algorithms global-optimization gradient-free-optimization large-scale-optimization nonlinear-optimization numerical-optimization optimization-algorithms particle-swarm-optimization population-based-optimization random-search zeroth-order-optimization
Last synced: 26 Feb 2025
https://github.com/lichang-chen/instructzero
Official Implementation of InstructZero; the first framework to optimize bad prompts of ChatGPT(API LLMs) and finally obtain good prompts!
black-box-optimization black-box-tuning chatgpt instruction-optimization large-language-model vicuna
Last synced: 20 Apr 2025
https://github.com/mlr-org/mlrmbo
Toolbox for Bayesian Optimization and Model-Based Optimization in R
bayesian-optimization black-box-optimization hyperparameter-optimization mlr mlrmbo model-based-optimization optimization r r-package
Last synced: 04 Apr 2025
https://github.com/Lichang-Chen/InstructZero
Official Implementation of InstructZero; the first framework to optimize bad prompts of ChatGPT(API LLMs) and finally obtain good prompts!
black-box-optimization black-box-tuning chatgpt instruction-optimization large-language-model vicuna
Last synced: 13 Mar 2025
https://github.com/metaevo/metabox
MetaBox: Benchmarking Platform for Meta-Black-Box Optimization
benchmark-platform black-box-optimization deep-reinforcement-learning evolutionary-algorithms hyperparameter-optimization learning-to-optimize meta-black-box-optimization protein-protein-docking real-parameter-optimization
Last synced: 02 Apr 2026
https://github.com/pablormier/yabox
Yet another black-box optimization library for Python
algorithms black-box black-box-optimization data-science differential-evolution evolutionary-algorithms minimization optimization parallel python python3 stochastic-algorithms
Last synced: 07 Apr 2025
https://github.com/JuliaNonconvex/Nonconvex.jl
Toolbox for gradient-based and derivative-free non-convex constrained optimization with continuous and/or discrete variables.
augmented-lagrangian-method automatic-differentiation bayesian-optimization black-box-optimization derivative-free-optimization discrete-optimization evolutionary-algorithms global-optimization gradient-based-optimisation implicit-differentiation interior-point-optimizer metaheuristics method-of-moving-asymptotes mixed-integer-nonlinear-programming nonlinear-optimization nonlinear-programming optimization semidefinite-programming surrogate-assisted-optimization
Last synced: 04 May 2025
https://github.com/eric-bradford/ts-emo
This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).
bayesian-optimization black-box-optimization expensive-to-evaluate-functions gaussian-processes genetic-algorithms kriging machine-learning matlab multi-objective-optimization spectral-sampling surrogate-based-optimization thompson-sampling
Last synced: 03 Sep 2025
https://github.com/optuna/kurobako
A black-box optimization benchmark tool
black-box-benchmarking black-box-optimization rust
Last synced: 12 Oct 2025
https://github.com/cog-imperial/entmoot
Multiobjective black-box optimization using gradient-boosted trees
bayesian-optimization black-box-optimization gradient-boosted-trees hyperparameter-optimization mixed-integer-programming multiobjective-optimization optimization python
Last synced: 07 Apr 2026
https://github.com/cobyqa/cobyqa
A derivative-free solver for general nonlinear optimization.
black-box-optimisation black-box-optimization blackbox-optimizer cobyqa constrained-optimisation derivative-free-optimisation numerical-optimization-library numerical-optimization-methods optimisation optimisation-framework optimization-framework optimization-library python unconstrained-optimisation zeroth-order-method
Last synced: 03 Mar 2026
https://github.com/hackingmaterials/rocketsled
plug-n-play black box optimizer for high-throughput computing
black-box-optimization high-performance-computing optimization
Last synced: 21 Jan 2026
https://github.com/sile/tpe
A TPE (Tree-structured Parzen Estimator) implementation in Rust
black-box-optimization hyperparameter-optimization rust tpe
Last synced: 23 Apr 2026
https://github.com/mlr-org/mlr3mbo
Flexible Bayesian Optimization in R
automl bayesian-optimization bbotk black-box-optimization cran gaussian-process hpo hyperparameter hyperparameter-optimization hyperparameter-tuning machine-learning mlr3 model-based-optimization optimization optimizer r r-package random-forest tuning
Last synced: 12 Oct 2025
https://github.com/mlr-org/bbotk
Black-box optimization framework for R.
bbotk black-box-optimization data-science hyperparameter-optimization hyperparameter-tuning machine-learning mlr3 optimization r r-package
Last synced: 28 Feb 2026
https://github.com/giuse/machine_learning_workbench
Workbench for practical machine learning in Ruby.
black-box-optimization evolution-strategies evolutionary-algorithm evolutionary-algorithms evolutionary-computation evolutionary-strategy machine-learning machine-learning-algorithms machine-learning-workbench modeling natural-evolution-strategies neural-network neural-networks neuroevolution optimization optimization-algorithms reinforcement-learning rubyml
Last synced: 08 Oct 2025
https://github.com/sile/yamakan
A collection of Black-Box Optimization algorithms for Rust
Last synced: 25 Jul 2025
https://github.com/optuna/kurobako-py
A Python library to help implement kurobako's solvers and problems
black-box-benchmarking black-box-optimization python-library
Last synced: 31 Aug 2025
https://github.com/sile/kurobako-go
A Golang library to help implement kurobako's solvers and problems
black-box-benchmarking black-box-optimization golang-library
Last synced: 11 Apr 2025
https://github.com/simonblanke/surfaces
Standardized test-functions for optimization algorithms and machine-learning
bbob benchmarking black-box-optimization cec2013 cec2014 cec2017 engineering gradient-free-optimization machine-learning objective-functions optimization python science surrogate-models test-functions
Last synced: 18 Apr 2026
https://github.com/thomasweise/betandrun
Code for executing virtual experiments with intelligent bet-and-run strategies for optimization, which efficiently utilize a total computational budget for getting good results by first starting n runs and after some time pick one of them to continue for the remaining budget.
artificial-neural-networks bet-and-run black-box-optimization machine-learning models optimization optimization-methods prediction regression
Last synced: 15 May 2026
https://github.com/araffin/es-with-search-path
Implementation of the (μ/μ,λ)-Evolution Strategy (ES) with Search Path algorithm in C++
algorithms black-box-optimization cpp evolution-strategies
Last synced: 16 May 2026
https://github.com/simpleart/optimizer
Multivariable Numerical Optimization
black-box-optimization gradient-descent machine-learning numerical-methods optimization python3 stochastic-optimization
Last synced: 21 Mar 2025
https://github.com/nshkrdotcom/ml_musings
Foundations: A premium, hands-on educational curriculum exploring high-dimensional geometry, measure concentration, linear probing, self-attention routing, PEFT (LoRA and SVD surgery), evolution strategies, and sparse Mixture of Experts (MoE) gating. Written from scratch in Numerical Elixir (Nx) and compiled via EXLA.
artificial-intelligence attention-mechanism automatic-differentiation black-box-optimization deep-learning dimension-reduction education elixir elixir-nx evolution-strategy exla gpu-acceleration gradient-descent high-dimensional-geometry linear-probing lora machine-learning mixture-of-experts neural-networks nshkr-research
Last synced: 09 Jun 2026
