Topic: surrogate-models Goto Github
Some thing interesting about surrogate-models
Some thing interesting about surrogate-models
surrogate-models,Open-source constructor of surrogates and metamodels
Organization: act-elegancy
surrogate-models,Benchmarking Surrogate-based Optimisation Algorithms on Expensive Black-box Functions
Organization: algtudelft
surrogate-models,A demo of how to use a surrogate model for an optimization problem
User: alize-papp
surrogate-models,A framework based on the tensor train decomposition for working with multivariate functions and multidimensional arrays
User: andreichertkov
Home Page: https://teneva.readthedocs.io
surrogate-models,Hyperparameter Optimization
User: ankit013
surrogate-models,surF - a surrogate modeling method based on Discrete Fourier Transform
User: aresio
surrogate-models,Pytorch based reimplementation of COMS: Conservative Objective Models for Effective Offline Model-Based Optimization.
User: aryandeshwal
surrogate-models,This is a small example project, that showcases the possibility of using a surrogate model to estimate the drag coefficient of arbitrary triangles.
User: axelfiedler
surrogate-models,A python package for surrogate models that interface with calibration and other tools
Organization: bandframework
Home Page: https://surmise.readthedocs.io/en/latest/
surrogate-models,Surrogate model library for Derivative-Free Optimization
Organization: bbopt
surrogate-models,Data and code to accompany paper "Accelerating sequential Monte Carlo with surrogate likelihoods"
User: bonstats
Home Page: https://arxiv.org/abs/2009.03699
surrogate-models,EA codes from CIAM Group at SUSTech, Shenzhen, China
Organization: ciam-group
surrogate-models,This package contains a Rshiny webtool developed to allow the calculation of the metabolic predictors developed by the groups of MOLEPI and LCBC (LUMC), from raw Nightingale Health 1H-NMR metabolomics data.
User: danielebizzarri
surrogate-models,Surrogate Optimization Toolbox for Python
User: dme65
surrogate-models,Python tool for creating Kriging surrogate models
User: evanchodora
surrogate-models,Physics-Informed Neural Network, Finite Element Method enhanced neural network, and FEM data-based neural network
User: ganeshshivalingappa
surrogate-models,Dimension reduced surrogate construction for parametric PDE maps
Organization: hippylib
surrogate-models,Encoding physics to learn reaction-diffusion processes
User: isds-neu
surrogate-models,Evaluating model calibration methods for sensitivity analysis, uncertainty analysis, optimisation, and Bayesian inference
User: jbris
Home Page: https://jbris.github.io/model-calibration-evaluation/
surrogate-models,3D CNN to predict single-phase flow velocity fields
User: je-santos
surrogate-models,🏆 A ranked list of awesome atomistic machine learning projects ⚛️🧬💎.
Organization: judftteam
surrogate-models,In this repository I publish the python code, that was part of my master thesis. The thesis can be found here, however its in German though, sry. :/
User: juri117
surrogate-models,Source code of "On the influence of over-parameterization in manifold based surrogates and deep neural operators".
User: katiana22
surrogate-models,This repository contains code for a project that trains a neural network to solve solid mechanics problems faster than the traditional finite element method. It includes a pipeline for generating a database of FEM solutions and experiments comparing the neural network model to the FEM.
User: leopoldoagorio
surrogate-models,Surrogarte modelling technique selector
User: light-weaver
surrogate-models,This repository comprises Jupyter Notebooks that serve as supplementary material to the journal article titled "Review of Multifidelity Models." The notebooks contain Python-based implementations that demonstrate toy problems in the multifidelity domain.
User: mgisellef
Home Page: https://arxiv.org/abs/1609.07196
surrogate-models,Source code for Generative Adversarial Bayesian Optimization (GABO) for Surrogate Objectives
User: michael-s-yao
Home Page: https://arxiv.org/abs/2402.06532
surrogate-models,Efficient Multiscale Topology Optimization
Organization: mid2supaero
surrogate-models,Python package 'dgpsi' for deep and linked Gaussian process emulations
User: mingdeyu
Home Page: https://dgpsi.readthedocs.io
surrogate-models,A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
User: mohamedelrefaie
surrogate-models,A repository for solving heat equation in a rectangular fin with Physics Informed Neural Networks and Surrogate Models.
User: mvanzulli
surrogate-models,Python interface to automatically formulate Machine Learning models into Mixed-Integer Programs
User: opt-mucca
surrogate-models,core C++ library
Organization: pressio
surrogate-models,Efficient global optimization toolbox in Rust: bayesian optimization, mixture of gaussian processes, sampling methods
User: relf
Home Page: https://joss.theoj.org/papers/10.21105/joss.04737
surrogate-models,Sandia Uncertainty Quantification Toolkit
Organization: sandialabs
surrogate-models,Surrogate modeling and optimization for scientific machine learning (SciML)
Organization: sciml
Home Page: https://docs.sciml.ai/Surrogates/stable/
surrogate-models,Applications of PINOs
User: shawnrosofsky
Home Page: https://shawnrosofsky.github.io/PINO_Applications/
surrogate-models,Implementation of a new hybrid machine learning technique for multi-fidelity surrogates of finite elements models with applications in multi-physics modeling of soft tissues.
User: shayansss
Home Page: https://shayansss.github.io
surrogate-models,Implementation of a new pointwise metric using Keras and Abaqus.
User: shayansss
Home Page: https://shayansss.github.io
surrogate-models,A step-by-step guide for surrogate optimization using Gaussian Process surrogate model
User: shuaiguo16
surrogate-models,Surrogate Modeling Toolbox
Organization: smtorg
Home Page: https://smt.readthedocs.io/en/stable
surrogate-models,LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA accuracy
Organization: snap-stanford
surrogate-models,Numerical Evidence for Sample Efficiency of Model-Based over Model-Free Reinforcement Learning Control of Partial Differential Equations [ECC'24]
User: stwerner97
surrogate-models,An easy to use interface to gravitational wave surrogate models
Organization: sxs-collaboration
surrogate-models,Bypassing slow numerical simulators of gravitational wave physics with machine learning.
User: theorydas
surrogate-models,Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning
User: tomoleary
surrogate-models,Heron is a surrogate modelling toolkit for python, using Gaussian process regression.
User: transientlunatic
Home Page: http://www.code.daniel-williams.co.uk/heron/
surrogate-models,Code for AAAI 2024 paper: LRS: Enhancing Adversarial Transferability through Lipschitz Regularized Surrogate
Organization: trustaiot
Home Page: https://tluocs.github.io
surrogate-models,Multi-fidelity Generative Deep Learning Turbulent Flows
Organization: zabaras
Home Page: https://arxiv.org/abs/2006.04731
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