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bayesopt

BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.

coh-opt

Codes for Coherence-Optimal Sampling as presented in papers at https://arxiv.org/abs/1408.4157 and https://arxiv.org/abs/1410.1931

copulas

A library to model multivariate data using copulas.

dopt_pce

Codes related to our paper "Sparse Polynomial Chaos Expansions via D-optimal Designs and Compressed Sensing." https://www.sciencedirect.com/science/article/pii/S0045782518301452?via%3Dihub

effective-quadratures

Machine learning with polynomials

environmentcontour

fast

An aeroelastic computer-aided engineering (CAE) tool for horizontal axis wind turbines

fatpack

fatpack provides functions and classes for fatigue analysis of data series.

filterpy

Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.

gpdoemd

Design of experiments for model discrimination using Gaussian process surrogate models

gpexp

Experimental Design for Gaussian Process Regression in Python

hams

An open-source computer program for the analysis of wave diffraction and radiation of three-dimensional floating or submerged structures

iea-10.0-198-rwt

iea-15-240-rwt

15MW reference wind turbine repository developed in conjunction with IEA Wind

openfast_toolbox

Miscellaneous Python tools for OpenFAST

openmdao

OpenMDAO repository.

openturns

Uncertainty treatment library

picspde

Python codes for Introduction to Computational Stochastic PDE

pydoe2

Design of experiments for Python

pyfast

pylife

a general library for fatigue and reliability

pymc3

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara

pyro2

A framework for hydrodynamics explorations and prototyping

python-randomfields

A Python module that implements tools for the simulation and identification of random fields using the Karhunen-Loeve expansion representation.

pyturbsim

pyTurbSim is a turbulence simulation tool for HydroKinetic (tidal, river and ocean-current) turbine device design tools (e.g. NWTC's FAST). It is also an effective development platform for new TurbSim spectral models.

rainflow

Implementation of the rainflow-counting algorythm in Python

sharpy

Simulation of High Aspect Ratio aeroplanes in Python: a nonlinear aeroelastic code

snl13pt2mw_fowt

Semi-submersible floating structure supporting 13.2 MW wind turbine developed by Sandia National Laboratories

stock-prediction-models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

truss-solver

Analyses a given truss structure by the method of joints