Projects in Awesome Lists tagged with blackbox-optimization

https://github.com/google/vizier

Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.

algorithm bayesian-optimization blackbox-optimization deep-learning distributed-computing distributed-systems evolutionary-algorithms google grpc hyperparameter-optimization hyperparameter-tuning machine-learning open-source optimization tuning tuning-parameters vizier

Last synced: 17 Dec 2024

https://github.com/simonblanke/gradient-free-optimizers

Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.

bayesian-optimization blackbox-optimization constrained-optimization evolution-strategies gradient-free-optimization hill-climbing hyperactive hyperparameter-optimization machine-learning meta-heuristic nelder-mead optimization particle-swarm-optimization random-search simulated-annealing tree-of-parzen-estimator

Last synced: 18 Dec 2024

https://github.com/SimonBlanke/Gradient-Free-Optimizers

Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.

bayesian-optimization blackbox-optimization constrained-optimization evolution-strategies gradient-free-optimization hill-climbing hyperactive hyperparameter-optimization machine-learning meta-heuristic nelder-mead optimization particle-swarm-optimization random-search simulated-annealing tree-of-parzen-estimator

Last synced: 05 Nov 2024

https://github.com/arm-software/mango

Parallel Hyperparameter Tuning in Python

bayesian-optimization blackbox-optimization cluster-deployment gaussian-processes hyperparameter-optimization hyperparameter-tuning keras-examples kubernetes-deployment machine-learning neural-network neural-networks parallel-computing production-system pytorch-compatible scipy-compatible sklearn-compatible tensorflow-examples tuning-parameters

Last synced: 20 Dec 2024

https://github.com/ARM-software/mango

Parallel Hyperparameter Tuning in Python

bayesian-optimization blackbox-optimization cluster-deployment gaussian-processes hyperparameter-optimization hyperparameter-tuning keras-examples kubernetes-deployment machine-learning neural-network neural-networks parallel-computing production-system pytorch-compatible scipy-compatible sklearn-compatible tensorflow-examples tuning-parameters

Last synced: 12 Nov 2024

https://github.com/PKU-DAIR/open-box

Generalized and Efficient Blackbox Optimization System

automatic-machine-learning bayesian-optimization blackbox-optimization constrained-optimization distributed-systems hyper-parameter-optimization multi-objective-optimization saas

Last synced: 05 Nov 2024

https://github.com/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

Last synced: 15 Dec 2024

https://github.com/c-bata/goptuna

A hyperparameter optimization framework, inspired by Optuna.

bandit-algorithms bayesian-optimization blackbox-optimization evolution-strategies

Last synced: 21 Dec 2024

https://github.com/microprediction/humpday

Elo ratings for global black box derivative-free optimizers

blackbox-optimization blackbox-optimizer derivative-free-optimization global-optimizers python-optimizer zeroth-order-optimization

Last synced: 16 Dec 2024

https://github.com/pdfo/pdfo

Powell's Derivative-Free Optimization solvers.

blackbox-optimization bobyqa cobyla constrained-optimization derivative-free-optimization fortran lincoa matlab newuoa nonlinear-optimization numerical-optimization optimization optimization-algorithms powell python simulation simulation-based-optimization unconstrained-optimization uobyqa zeroth-order-optimization

Last synced: 15 Dec 2024

https://github.com/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

Last synced: 17 Dec 2024

https://github.com/evhub/bbopt

Black box hyperparameter optimization made easy.

blackbox-optimization coconut hyperparameter-optimization hyperparameter-tuning python

Last synced: 19 Dec 2024

https://github.com/parmoo/parmoo

Python library for parallel multiobjective simulation optimization

blackbox-optimization mathematical-software multicriteria-optimization multiobjective multiobjective-optimization numerical-optimization python3 response-surface-methodology simulation-based-optimization simulation-optimization surrogate-based-optimization

Last synced: 30 Oct 2024

https://github.com/hvass-labs/swarmops

Heuristic Optimization for Python

blackbox-optimization differential-evolution hyperparameter-optimization meta-heuristic particle-swarm-optimization random-search

Last synced: 01 Nov 2024

https://github.com/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

Last synced: 16 Nov 2024

https://github.com/bbopt/NOMAD.jl

Julia interface to the NOMAD blackbox optimization software

blackbox-optimization julia nomad optimization

Last synced: 13 Nov 2024

https://github.com/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.

blackbox-optimization cma-es derivative-free derivative-free-optimization evolutionary-algorithm evolutionary-strategy optimization stochastic-optimization

Last synced: 13 Nov 2024

https://github.com/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.

blackbox-optimization cma-es derivative-free derivative-free-optimization evolutionary-algorithm evolutionary-strategy optimization stochastic-optimization