blackbox-optimization

There are 2 repositories under blackbox-optimization topic.

google / vizier
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
vizier hyperparameter-optimization tuning tuning-parameters blackbox-optimization hyperparameter-tuning bayesian-optimization evolutionary-algorithms distributed-systems distributed-computing grpc open-source google algorithm deep-learning machine-learning optimization
Language:Python 1599
Gradient-Free-Optimizers
SimonBlanke / Gradient-Free-Optimizers
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
optimization gradient-free-optimization bayesian-optimization particle-swarm-optimization evolution-strategies simulated-annealing random-search hill-climbing meta-heuristic machine-learning tree-of-parzen-estimator hyperparameter-optimization blackbox-optimization constrained-optimization nelder-mead hyperactive
Language:Python 1242
chrisstroemel / Simple
Experimental Global Optimization Algorithm
hyperparameter-optimization global-optimization optimization bayesian-optimization blackbox-optimization
Language:Python 483
PKU-DAIR / open-box
Towards Generalized and Efficient Blackbox Optimization System/Package (KDD 2021 & JMLR 2024)
blackbox-optimization bayesian-optimization constrained-optimization multi-objective-optimization hyper-parameter-optimization automatic-machine-learning distributed-systems saas
Language:Python 424
ARM-software / mango
Parallel Hyperparameter Tuning in Python
hyperparameter-optimization blackbox-optimization hyperparameter-tuning parallel-computing machine-learning tuning-parameters sklearn-compatible scipy-compatible tensorflow-examples keras-examples pytorch-compatible bayesian-optimization gaussian-processes kubernetes-deployment cluster-deployment production-system neural-network neural-networks
Language:Jupyter Notebook 419
libprima / prima
PRIMA is a package for solving general nonlinear optimization problems without using derivatives. It provides the reference implementation for Powell's derivative-free optimization methods, i.e., COBYLA, UOBYQA, NEWUOA, BOBYQA, and LINCOA. PRIMA means Reference Implementation for Powell's methods with Modernization and Amelioration, P for Powell.
blackbox-optimization bobyqa cobyla constrained-optimization derivative-free-optimization lincoa matlab modern-fortran newuoa nonlinear-optimization numerical-optimization optimization powell prima python simulation-based-optimization unconstrained-optimization uobyqa zeroth-order-method
Language:Fortran 343
c-bata / goptuna
A hyperparameter optimization framework, inspired by Optuna.
bayesian-optimization bandit-algorithms evolution-strategies blackbox-optimization
Language:Go 271
humpday
microprediction / humpday
Elo ratings for global black box derivative-free optimizers
blackbox-optimization blackbox-optimizer derivative-free-optimization zeroth-order-optimization python-optimizer global-optimizers
Language:Python 139
bbopt / nomad
NOMAD - A blackbox optimization software
blackbox-optimization optimization-algorithms solver derivative-free-optimization simulation-based-optimization mathematical-algorithms surrogate-based-optimization blackbox-optimizer
Language:C++ 131
WilliamLwj / PyXAB
PyXAB - A Python Library for X-Armed Bandit and Online Blackbox Optimization Algorithms
algorithm bandit-algorithms blackbox-optimization optimization lipschitz-bandit hyperparameter-optimization hyperparameter-tuning reinforcement-learning data-science machine-learning-algorithms online-learning continuous-armed-bandit x-armed-bandit automl machine-learning optimization-algorithms
Language:Python 125
auto-flow / ultraopt
Distributed Asynchronous Hyperparameter Optimization better than HyperOpt. 比HyperOpt更强的分布式异步超参优化库。
hyperopt hyperparameter-optimization optimization automl blackbox-optimization multi-fidelity bayesian-optimization python machine-learning
Language:Python 107
pdfo
pdfo / pdfo
Powell's Derivative-Free Optimization solvers.
optimization optimization-algorithms derivative-free-optimization blackbox-optimization simulation powell numerical-optimization matlab python fortran bobyqa cobyla lincoa newuoa uobyqa constrained-optimization nonlinear-optimization unconstrained-optimization simulation-based-optimization zeroth-order-optimization
Language:Fortran 102
logicalclocks / maggy
Distribution transparent Machine Learning experiments on Apache Spark
ablation ablation-studies ablation-study automl blackbox-optimization hyperparameter-optimization hyperparameter-search hyperparameter-tuning spark
Language:Python 90
tilleyd / cec2017-py
Python module for CEC 2017 single objective optimization test function suite.
cec2017 optimization benchmark blackbox-optimization
Language:Python 84
thomas-young-2013 / open-box
Generalized and Efficient Blackbox Optimization System.
blackbox-optimization bayesian-optimization hyperparameter-tuning knobs-tuning multi-objective-optimization constrained-optimization automatic-machine-learning
Language:Python 83
parmoo
parmoo / parmoo
Python library for parallel multiobjective simulation optimization
multiobjective-optimization python3 simulation-optimization surrogate-based-optimization blackbox-optimization mathematical-software multicriteria-optimization multiobjective numerical-optimization simulation-based-optimization response-surface-methodology
Language:Python 79
evhub / bbopt
Black box hyperparameter optimization made easy.
blackbox-optimization coconut hyperparameter-optimization hyperparameter-tuning python
Language:Python 75
Hvass-Labs / swarmops
Heuristic Optimization for Python
blackbox-optimization differential-evolution hyperparameter-optimization meta-heuristic particle-swarm-optimization random-search
Language:Python 73
PKU-DAIR / mindware
An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.
automl-algorithms automl-pipeline bayesian-optimization blackbox-optimization data-science deep-learning distributed-systems ensemble-learning hyper-parameter-optimization knobs-tuning machine-learning meta-learning neural-architecture-search python
Language:Python 56
Hvass-Labs / MetaOps
Tuning the Parameters of Heuristic Optimizers (Meta-Optimization / Hyper-Parameter Optimization)
blackbox-optimization differential-evolution hyperparameter-optimization meta-heuristic particle-swarm-optimization nsga2 random-search
Language:Jupyter Notebook 55
OPTML-Group / DeepZero
[ICLR'24] "DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training" by Aochuan Chen*, Yimeng Zhang*, Jinghan Jia, James Diffenderfer, Jiancheng Liu, Konstantinos Parasyris, Yihua Zhang, Zheng Zhang, Bhavya Kailkhura, Sijia Liu
ai4science blackbox-optimization efficient-deep-learning zeroth-order-optimization
Language:Python 53
bbopt / NOMAD.jl
Julia interface to the NOMAD blackbox optimization software
blackbox-optimization julia nomad optimization
Language:Julia 47
nestordemeure / Simplers
Rust implementation of the Simple(x) Global Optimization algorithm
hyperparameter-optimization global-optimization blackbox-optimization
Language:Rust 33
jbrea / CMAEvolutionStrategy.jl
A julia implementation of the CMA Evolution Strategy for derivative-free optimization of potentially non-linear, non-convex or noisy functions over continuous domains.
optimization derivative-free-optimization derivative-free stochastic-optimization evolutionary-algorithm evolutionary-strategy cma-es blackbox-optimization
Language:Julia 31
sibirbil / marsopt
Mixed Adaptive Random Search (MARS) for Optimization
blackbox-optimization hyperparameter-optimization hyperparameter-tuning machine-learning optimization python random-search
Language:Python 29
ma921 / SOBER
Fast Bayesian optimization, quadrature, inference over arbitrary domain with GPU parallel acceleration
bayesian-inference bayesian-optimization bayesian-quadrature blackbox-optimization drug-discovery quadrature simulation-based-inference global-optimization machine-learning optimization parameter-estimation
Language:Jupyter Notebook 28
boschresearch / blackboxopt
Blackbox optimization algorithms with a common interface, along with useful helpers like parallel optimization loops, analysis and visualization scripts.
python optimization-algorithms blackbox-optimization bcai
Language:Python 27
damon-demon / Black-Box-Defense
Robustify Black-Box Models (ICLR'22 - Spotlight)
zeroth-order-optimization black-box-defense blackbox-optimization adversarial-learning certified-defense certified-robustness
Language:Python 24
mila-iqia / Awesome-Offline-Model-Based-Optimization
📰 Must-Read Papers on Offline Model-Based Optimization 🔥
biosequences blackbox-optimization generative-model model-based-optimization offline-setting optimization
24
bbopt / HyperNOMAD
A library for the hyperparameter optimization of deep neural networks
hyperparameters deep-neural-networks optimization categorical-variables neural-architecture-search hyperparameter-optimization nomad pytorch python blackbox-optimization hyperparameter-tuning
Language:C++ 20
Artelys / knitro-modeling-examples
Nonlinear programming application examples solved with Artelys Knitro
ampl blackbox-optimization convex-optimization jump k-means-clustering mathematical-optimization mathematical-programming mixed-integer-nonlinear-programming mixed-integer-programming nonconvex-optimization nonlinear-optimization nonlinear-programming numerical-optimization portfolio-optimization pyomo quadratic-programming unit-commitment
Language:Jupyter Notebook 16
bbopt / solar
The SOLAR blackbox optimization problem
solar-energy solar-plant blackbox-testing blackbox-optimization benchmarking blackbox-problem
Language:C++ 14
optuna / bboc-optuna-developers
Black-box optimizer submitted to BBO challenge at NeurIPS 2020
neurips-2020 gaussian-processes bayesian-optimization blackbox-optimization
Language:Jupyter Notebook 13
sambo
sambo-optimization / sambo
🎯📈 Sequantial and model-based optimization
bayesian-optimization blackbox-optimization global-optimization global-optimization-algorithms sce-ua scikit-learn scikit-optimize scipy-optimize surrogate-based-optimization bayesopt hyperparameter-optimization hyperparameter-tuning machine-learning partial-dependence-plot scientific-computing
Language:Python 12
rajcscw / pytorch-optimize
A simple black-box optimization framework to train your pytorch models for optimizing non-differentiable objectives
pytorch blackbox-optimization evolution-strategies reinforcement-learning
Language:Python 10
Shahul-Rahman / SPGD-Search-Party-Gradient-Descent-algorithm
SPGD: Search Party Gradient Descent algorithm, a Simple Gradient-Based Parallel Algorithm for Bound-Constrained Optimization. Link: https://www.mdpi.com/2227-7390/10/5/800
metaheuristics multi-armed-bandits optimization optimization-algorithms reinforcement-learning blackbox-optimization python python-optimization bio-inspired-optimization nature-inspired-algorithms optimization-methods
Language:Jupyter Notebook 9