blackbox-optimization 开源项目推荐（97 个）

google /vizier

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

gfo-project /Gradient-Free-Optimizers

Lightweight optimization with local, global, population-based and sequential techniques across mixed search spaces

chrisstroemel /Simple

Experimental Global Optimization Algorithm

PKU-DAIR /open-box

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

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.

ARM-software /mango

Parallel Hyperparameter Tuning in Python

c-bata /goptuna

A hyperparameter optimization framework, inspired by Optuna.

bbopt /nomad

NOMAD - A blackbox optimization software

microprediction /humpday

SOTA Black-box optimization (Python and JS) without the baggage

WilliamLwj /PyXAB

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

pdfo /pdfo

Powell's Derivative-Free Optimization solvers.

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。

tilleyd /cec2017-py

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

logicalclocks /maggy

在 Apache Spark 上进行分布透明的机器学习实验

parmoo /parmoo

Python library for parallel multiobjective simulation optimization

thomas-young-2013 /open-box

Generalized and Efficient Blackbox Optimization System.

evhub /bbopt

Black box hyperparameter optimization made easy.

OPTML-Group /DeepZero

[ICLR'24]《DeepZero：深度模型训练的零阶优化扩展》 作者：陈奥川*、张义明*、贾景涵、詹姆斯·迪芬德弗、刘建成、康斯坦丁诺斯·帕拉西里斯、张义华、张正、巴维亚·凯尔库拉、刘思佳

Hvass-Labs /swarmops

面向 Python 的启发式优化

PKU-DAIR /mindware

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