blackbox-optimization

There are 86 repositories under blackbox-optimization topic.

  • google/vizier

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

    Language:Python1.6k2544105
  • Gradient-Free-Optimizers

    SimonBlanke/Gradient-Free-Optimizers

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

    Language:Python1.2k215393

  • chrisstroemel/Simple

    Experimental Global Optimization Algorithm

    Language:Python48332639

  • PKU-DAIR/open-box

    Towards Generalized and Efficient Blackbox Optimization System/Package (KDD 2021 & JMLR 2024)

    Language:Python42446854

  • ARM-software/mango

    Parallel Hyperparameter Tuning in Python

    Language:Jupyter Notebook419104648

  • 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.

    Language:Fortran36668846

  • c-bata/goptuna

    A hyperparameter optimization framework, inspired by Optuna.

    Language:Go27194723

  • bbopt/nomad

    NOMAD - A blackbox optimization software

    Language:C++14368526
  • humpday

    microprediction/humpday

    Elo ratings for global black box derivative-free optimizers

    Language:Python14163019

  • WilliamLwj/PyXAB

    PyXAB - A Python Library for X-Armed Bandit and Online Blackbox Optimization Algorithms

    Language:Python126171830

  • 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。

    Language:Python1084315
  • pdfo

    pdfo/pdfo

    Powell's Derivative-Free Optimization solvers.

    Language:Fortran10462326

  • logicalclocks/maggy

    Distribution transparent Machine Learning experiments on Apache Spark

    Language:Python9192014

  • tilleyd/cec2017-py

    Python module for CEC 2017 single objective optimization test function suite.

    Language:Python912321
  • parmoo

    parmoo/parmoo

    Python library for parallel multiobjective simulation optimization

    Language:Python8443012

  • thomas-young-2013/open-box

    Generalized and Efficient Blackbox Optimization System.

    Language:Python8321085

  • evhub/bbopt

    Black box hyperparameter optimization made easy.

    Language:Python756168

  • Hvass-Labs/swarmops

    Heuristic Optimization for Python

    Language:Python735116

  • 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

    Language:Python66159

  • PKU-DAIR/mindware

    An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

    Language:Python59309

  • Hvass-Labs/MetaOps

    Tuning the Parameters of Heuristic Optimizers (Meta-Optimization / Hyper-Parameter Optimization)

    Language:Jupyter Notebook555012

  • bbopt/NOMAD.jl

    Julia interface to the NOMAD blackbox optimization software

    Language:Julia479277

  • nestordemeure/Simplers

    Rust implementation of the Simple(x) Global Optimization algorithm

    Language:Rust33144

  • 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.

    Language:Julia317112

  • sibirbil/marsopt

    Mixed Adaptive Random Search (MARS) for Optimization

    Language:Python300

  • boschresearch/blackboxopt

    Blackbox optimization algorithms with a common interface, along with useful helpers like parallel optimization loops, analysis and visualization scripts.

    Language:Python29781

  • ma921/SOBER

    Fast Bayesian optimization, quadrature, inference over arbitrary domain with GPU parallel acceleration

    Language:Jupyter Notebook28121

  • damon-demon/Black-Box-Defense

    Robustify Black-Box Models (ICLR'22 - Spotlight)

    Language:Python24234

  • mila-iqia/Awesome-Offline-Model-Based-Optimization

    📰 Must-Read Papers on Offline Model-Based Optimization 🔥

    240
  • sambo

    sambo-optimization/sambo

    🎯 📈 Sequential And Model-Based Optimization with SCE-UA, SMBO, and SHGO algos. No deps—SOTA perfomance.

    Language:Python23120

  • Artelys/knitro-modeling-examples

    Nonlinear programming application examples solved with Artelys Knitro

    Language:Jupyter Notebook20403

  • bbopt/HyperNOMAD

    A library for the hyperparameter optimization of deep neural networks

    Language:C++20431

  • bbopt/solar

    The SOLAR blackbox optimization problem

    Language:C++16033

  • optuna/bboc-optuna-developers

    Black-box optimizer submitted to BBO challenge at NeurIPS 2020

    Language:Jupyter Notebook14401

  • rajcscw/pytorch-optimize

    A simple black-box optimization framework to train your pytorch models for optimizing non-differentiable objectives

    Language:Python11203

  • 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

    Language:Jupyter Notebook10401