surrogate-models

There are 6 repositories under surrogate-models topic.

SMTorg / smt
Surrogate Modeling Toolbox
surrogate-models derivative sampling mixture-of-experts multi-fidelity predictive-modeling machine-learning
Language:Jupyter Notebook 628
SciML / Surrogates.jl
Surrogate modeling and optimization for scientific machine learning (SciML)
surrogate-models surrogate-based-optimization surrogates surrogate sciml scientific-machine-learning high-performance-computing automatic-differentiation differential-equations julia optimization
Language:Julia 315
JuDFTteam / best-of-atomistic-machine-learning
🏆 A ranked list of awesome atomistic machine learning projects ⚛️🧬💎.
atomistic-machine-learning awesome-list best-of-list computational-chemistry computational-materials-science condensed-matter density-functional-theory drug-discovery electronic-structure interatomic-potentials materials-discovery materials-informatics molecular-dynamics scientific-computing surrogate-models scientific-machine-learning quantum-chemistry ai4science
250
dme65 / pySOT
Surrogate Optimization Toolbox for Python
optimization asynchronous global-optimization global-optimization-algorithms bayesian-optimization surrogate-based-optimization surrogate-models radial-basis-function gaussian-processes black-box-optimization
Language:Jupyter Notebook 203
shawnrosofsky / PINO_Applications
Applications of PINOs
pytorch deep-learning physics-informed-ml surrogate-models
Language:Jupyter Notebook 84
sandialabs / UQTk
Sandia Uncertainty Quantification Toolkit
snl-data-analysis bayesian-inference snl-science-libs uq uncertainty-quantification uncertainty-estimation uncertainty-propagation uncertainty mcmc mcmc-sampler mcmc-methods surrogate-models scr-1380
Language:Fortran 69
isds-neu / PeRCNN
Encoding physics to learn reaction-diffusion processes
equation-discovery finite-difference pde physics-simulation scientific-machine-learning surrogate-models physics-encoded-learning
Language:Python 67
PoreFlow-Net
je-santos / PoreFlow-Net
3D CNN to predict single-phase flow velocity fields
cnn 3d keras-tensorflow porous-media-flow 3d-images lbm surrogate-models convolutional-neural-networks digital-rockphysics digital-rocks permeability poreflow-net convolutional-neural-network single-phase lattice-boltzmann neural-networks machine-learning keras tensorflow gpu
Language:Python 60
relf / egobox
Efficient global optimization toolbox in Rust: bayesian optimization, mixture of gaussian processes, sampling methods
gaussian-processes global-optimization latin-hypercube-sampling mixture-of-experts surrogate-models
Language:Rust 47
Pressio / pressio
core C++ library
generic-programming trilinos kokkos petrov-galerkin reduced-order-models surrogate-models uq dynamical-systems nonlinear-dynamics snl-applications snl-data-analysis snl-science cpp-concepts machine-learning linear-algebra c-plus-plus high-performance-computing
Language:C++ 40
AndreiChertkov / teneva
A framework based on the tensor train decomposition for working with multivariate functions and multidimensional arrays
approximation-algorithms low-rank-approximation surrogate-modelling surrogate-models tensor-decomposition tensor-decomposition-algorithms tensor-train tensor-trains
Language:Python 37
hippylib / hippyflow
Dimension reduced surrogate construction for parametric PDE maps
neural-networks dimension-reduction dimensionality-reduction reduced-order-surrogate-model reduced-order-modeling reduced-basis active-subspace karhunen-loeve proper-orthogonal-decomposition parametric-pde parametric-pdes surrogate-models deep-learning
Language:Python 35
zabaras / deep-turbulence
Multi-fidelity Generative Deep Learning Turbulent Flows
deep-learning fluid-dynamics generative invertible-neural-networks surrogate-models turbulence
Language:Python 34
Mohamedelrefaie / DrivAerNet
DrivAerNet: A Parametric Car Dataset for Data-driven Aerodynamic Design and Graph-Based Drag Prediction
3d-geometry aerodynamics car-design cfd computational-fluid-dynamics data-driven deep-learning deep-neural-networks dgcnn generative-ai graph-neural-networks large-scale-dataset meshes openfoam parametric-design surrogate-modelling surrogate-models drivaer fluid-dynamics fluid-simulation
Language:Python 30
ShuaiGuo16 / Surrogate_Optimization
A step-by-step guide for surrogate optimization using Gaussian Process surrogate model
surrogate-optimization gaussian-process-regression optimization surrogate-models
Language:Jupyter Notebook 27
juri117 / 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. :/
thesis python surrogate-models surrogate openmdao kriging latin-hypercube radial-basis-function polynomials halton structural-analysis aircraft-design wing construction
Language:Python 23
mid2SUPAERO / EMTO
Efficient Multiscale Topology Optimization
matlab multiscale structures surrogate-models topology-optimization ultralight
Language:MATLAB 22
sxs-collaboration / gwsurrogate
An easy to use interface to gravitational wave surrogate models
gravitational-waveforms python surrogate-models
Language:Jupyter Notebook 20
AlgTUDelft / ExpensiveOptimBenchmark
Benchmarking Surrogate-based Optimisation Algorithms on Expensive Black-box Functions
bayesian-optimization benchmarking expensive-optimization optimization optimization-algorithms real-world-optimization surrogate-based-optimization surrogate-models
Language:Python 19
snap-stanford / le_pde
LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA accuracy
accelerate deep-learning inverse-optimization latent-space pde surrogate-models
Language:Jupyter Notebook 18
mingdeyu / DGP
Python package 'dgpsi' for deep and linked Gaussian process emulations
deep-gaussian-processes emulation gaussian-processes package python surrogate-models
Language:Python 17
tomoleary / dino
Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning
active-subspace deep-learning dimensionality-reduction machine-learning neural-operator parametric-pde parametric-pdes surrogate-models derivative-informed-neural-operator derivative-learning
Language:Python 15
evanchodora / kriging
Python tool for creating Kriging surrogate models
kriging surrogate scipy python modeling surrogate-models
Language:Python 13
Opt-Mucca / PySCIPOpt-ML
Python interface to automatically formulate Machine Learning models into Mixed-Integer Programs
decision-trees keras lightgbm mathematical-programming mixed-integer-optimization mixed-integer-programming neural-networks optimization pytorch sklearn xgboost surrogate-models machine-learning python artificial-intelligence
Language:Python 13
surmise
bandframework / surmise
A python package for surrogate models that interface with calibration and other tools
bayesian-calibration gaussian-processes surrogate-models
Language:Python 9
bbopt / sgtelib
Surrogate model library for Derivative-Free Optimization
surrogate-models surrogate surrogate-modelling surrogate-based-optimization surrogate-model-based-optimization derivative-free-optimization blackbox-optimization
Language:C++ 8
hml
shayansss / hml
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.
abaqus biomechanics cartilage computational-physics deep-learning fortran graphneuralnetwork hybrid-model keras knee machine-learning python sonnet surrogate-models tensorflow umat
Language:Jupyter Notebook 8
act-elegancy / consumet
Open-source constructor of surrogates and metamodels
reduced-order-models surrogate-models meta-model surrogates optimization regression adaptive-sampling design-of-experiments sintef
Language:Python 7
DanieleBizzarri / MiMIR
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.
metabolomics metabolites risk-factors risk-factor-models linear-regression nightingale-metabolomics surrogate-models binary-risk-factors biomarkers
Language:R 7
JBris / model-calibration-evaluation
Evaluating model calibration methods for sensitivity analysis, uncertainty analysis, optimisation, and Bayesian inference
bayesian-optimization bayesian-statistics pymc sensitivity-analysis uncertainty-analysis polynomial-chaos polynomial-chaos-expansion differential-evolution-mcmc sobol-indices global-optimization approximate-bayesian-computation kriging surrogate-models optuna shuffled-complex-evolution likelihood-free-inference bolfi simulation-based-inference deep-learning generative-neural-network
Language:Python 7
ws-kj / Quasar
GPT3-enabled surrogate functions in C++
chatgpt gpt gpt-3 surrogate surrogate-models
Language:C++ 7
axelfiedler / flowAroundTriangles
This is a small example project, that showcases the possibility of using a surrogate model to estimate the drag coefficient of arbitrary triangles.
cfd fluid-dynamics neural-network surrogate-models
Language:C++ 6
alize-papp / SurrogateModelForOptimization
A demo of how to use a surrogate model for an optimization problem
surrogate-models gaussian-processes kriging optimization
Language:Jupyter Notebook 5
mvanzulli / Heat_Transfer_PINN
A repository for solving heat equation in a rectangular fin with Physics Informed Neural Networks and Surrogate Models.
pinns sciml neural-networks surrogate-models heat-transfer
Language:Jupyter Notebook 5
leopoldoagorio / solid-mechanics-ML
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.
computational-physics finite-element-methods machine-learning neural-networks solid-mechanics surrogate-models
Language:TeX 4
michael-s-yao / gabo
Source code for Generative Adversarial Bayesian Optimization (GABO) for Surrogate Objectives
bayesian-optimization offline-optimization surrogate-models
Language:Python 4