贝叶斯优化工具BOSS的web应用程序。从CEST组的GitLab镜像回购。
A web app for the Bayesian Optimization tool BOSS. Mirrored repo from GitLab of CEST group. (2024-04-15, Python, 0KB, 下载0次)
该存储库包含Python脚本，这些脚本使用Pythor实现几个高维偏微分方程的反向随机微分方程（BSDE）解决方案。
This repository contains Python scripts that implement backward stochastic differential equations (BSDEs) solutions to several partial differential equations in high dimension using Pytorch. (2024-04-11, Python, 0KB, 下载0次)
基于贝叶斯物理的神经网络后验样本“随机化然后优化”方法的实现
Implementations of the "randomize-then-optimize" approach for sampling Bayesian Physics-informed Neural Network posteriors (2024-03-10, Python, 0KB, 下载0次)
用Vissner方法求解Gross-Pitaevsky方程实时模拟玻色-爱因斯坦凝聚
Simulation of Bose Einstein Condensates in real time using Vissner methos to solve the Gross-Pitaevsky equation (2024-01-20, Python, 0KB, 下载0次)
这是用于将贝叶斯优化与CMA-ES方面相结合的伪造方法的python代码。
This is python code for a falsification method that combines Bayesian Optimization with aspects of CMA-ES. (2023-11-14, Python, 0KB, 下载0次)
从“高维群集器的外来群集动力学”中实现Swarmators算法的Pytorch，
Pytorch Implementation of the Swarmalators algorithm from "Exotic swarming dynamics of high-dimensional swarmalators", (2023-10-22, Python, 0KB, 下载0次)
基于trieste.的GP代理模型黑盒约束问题的贝叶斯优化。，
Bayesian Optimization for black-box constrained problems with GP surrogate models based on trieste., (2022-09-20, Python, 0KB, 下载0次)
这是我的python实现，通过GP的贝叶斯优化来优化CNN超参数，
This is my python implementation to optimize CNN hyper parameters by bayesian optimization with GP, (2015-08-16, Python, 0KB, 下载0次)
USeMOC论文“带约束的多目标贝叶斯优化的不确定性感知搜索框架”的Python实现。，
Python implementation for USeMOC paper "Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization with Constraints"., (2021-11-03, Python, 0KB, 下载0次)
用于调整SeisComP3的scautopick和scanloc模块的贝叶斯优化方法，
Bayesian optimization approach for tuning SeisComP3 s scautopick and scanloc modules, (2023-01-31, Python, 0KB, 下载0次)
UAI 2021论文“高效贝叶斯优化的可信最大化熵搜索”的正式实施。，
Official implementation of the UAI 2021 paper "Trusted-Maximizers Entropy Search for Efficient Bayesian Optimization"., (2021-10-20, Python, 0KB, 下载0次)
MESMOC的Python实现，论文“带约束的多目标贝叶斯优化的最大值熵搜索”。，
Python implementation for MESMOC the paper "Max-value Entropy Search for Multi-Objective Bayesian Optimization with Constraints"., (2022-04-13, Python, 0KB, 下载0次)
该代码使用勘探增强期望改进（E3I）捕获函数运行贝叶斯优化，
This code runs Bayesian optimization with the exploration enhanced expected improvement (E3I) acquisition function, (2019-04-16, Python, 0KB, 下载0次)
求解麦克斯韦方程的非周期傅里叶模态方法的Python实现。，
Python Implementation of Aperiodic Fourier Modal Method for solving Maxwell equations., (2023-08-03, Python, 0KB, 下载0次)
使用Gross-Pitaevskii方程（GPE）模拟玻色-爱因斯坦凝聚体（BEC）动力学的简短Python脚本，
Short and simple Python scripts for simulating Bose-Einstein Condensate (BEC) dynamics with the Gross-Pitaevskii equation (GPE), (2016-08-24, Python, 0KB, 下载0次)
使用贝叶斯信息先验对已知未来事件进行预测（使用判断调整进行预测）。，
Forecasting for knowable future events using Bayesian informative priors (forecasting with judgmental-adjustment)., (2022-04-14, Python, 0KB, 下载0次)
这用于从斯坦福无人机数据集（SDD）的原始视频生成数据集。
This is used to generate datasets from raw videos of the Stanford Drone Dataset (SDD). (2022-07-05, Python, 1846KB, 下载0次)
基于提供的文本语料库，使用朴素贝叶斯定理对情感进行分类的人工智能项目。
AI project for classifying sentiments based upon provided textual corpus, using Naive Bayes theorem. (2022-04-30, Python, 615KB, 下载0次)
这是一个基于SciPy函数构建的python包，旨在简化新加坡国立大学ST2334特定模块的计算。
This is a python package building on top of SciPy s functions, designed and
built for the purpose of simplifying computations for a specific module at the
National University of Singapore, ST2334.
, (2022-05-03, Python, 18KB, 下载0次)
线性回归之类的回归问题，斯坦福大学讲座,很经典
standford machine learning regression (2019-06-18, Python, 689KB, 下载0次)