Surrogate Models Python Packages

egobox

Efficient global optimization toolbox in Rust: bayesian optimization, mixture of gaussian processes, sampling methods

smt

Surrogate Modeling Toolbox

apebench

[Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled Training; Rollout Metrics)

surmise

A python package for surrogate models that interface with calibration and other tools

tglfnn-ukaea

Neural network surrogate models of the TGLF quasilinear plasma turbulent transport simulator in various parameter spaces

pysot

Surrogate Optimization Toolbox for Python

teneva

Compact implementation of basic operations in the tensor-train (TT) format, including TT-SVD, TT-ALS, TT-ANOVA, TT-CROSS, TT-truncate for approximation of multidimensional arrays and multivariate functions

surfaces

Standardized test-functions for optimization algorithms and machine-learning

pyscipopt-ml

Python interface to automatically formulate Machine Learning models into Mixed-Integer Programs

calisim

A toolbox for the calibration and evaluation of simulation models.

surfaces-cec-data

CEC benchmark data files for the surfaces library

surfaces-onnx-files

Pre-trained ONNX surrogate models for the surfaces library

optilab

Python framework for black-box optimization.

dgpsi

Python package 'dgpsi' for deep and linked Gaussian process emulations

insurance-distill

GBM-to-GLM distillation for insurance pricing - surrogate factor tables for Radar/Emblem rating engines

heron-model

Heron is a surrogate modelling toolkit for python, using Gaussian process regression.

uqtopus

Uncertainty Quantification Toolbox for OpenFOAM and Python Unified Simulation workflows

statlml

Statistical learning models library for blackbox optimization

neuroxai

NeuroXAI: Adaptive, robust, explainable surrogate framework for determination of channel importance in EEG application

statescale

snapshot-driven state upscaling

gradient-free-objective-functions

Standardized test-functions for optimization algorithms and machine-learning

surfaces-dashboard

No description available

pytuq

Python Toolkit for Uncertainty Quantification