HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problems

model-based-optimization 开源项目推荐(9 个)
model-based-optimization 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
9收录项目
482Star 总量
5覆盖语言
相关标签
热门项目 全部 9
GitHub 共 9 个仓库,已全部展示hilo-mpc /hilo-mpc
Python201
mlr-org /mlrMBO
Toolbox for Bayesian Optimization and Model-Based Optimization in R
R187
mila-iqia /Awesome-Offline-Model-Based-Optimization
📰 [TMLR 2026 Survey Certification] Must-Read Papers on Offline Model-Based Optimization 🔥
31
mlr-org /mlr3mbo
Flexible Bayesian Optimization in R
R27
christopher-beckham /coms-are-energy-models
Official code for paper: Conservative objective models are a special kind of contrastive divergence-based energy model
Jupyter Notebook14
samuelstanton /conformal-policy-control
Conformal policy control for AI agents
Jupyter Notebook9
XunzhaoYu /Experience-Based-SAEA
Experience-Based Surrogate-Assisted Evolutionary Algorithm Framework for Expensive Optimization Problems.
Python7
klamt-lab /GDP-Fucose_OptMet2023_Paper
Contains all relevant data of the 2023 GDP-Fucose paper.
Component Pascal4
QiqiDuan257 /pop-lsbbo
A pure-MATLAB library for POPulation-based Large-Scale Black-Box Optimization (pop-lsbbo).
MATLAB2
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 9 个项目;原始页面见 https://github.com/topics/model-based-optimization。
- 该话题在 GitHub 上共有 9 个仓库, 本站收录的是其中最热门的 9 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 9 个项目累计 482 Star,覆盖 5 种主要语言,数据更新于 2026-11-10。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。