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Rensselaer Intelligent Structural Systems Laboratory's Projects

cogp icon cogp

Collaborative multi-output Gaussian processes

dataset_plateun01 icon dataset_plateun01

CONCEPT is a dataset of lamb-wave measured in composite structures in healthy and damaged states. This experiment was conducted at the SHM Lab from UNESP Ilha Solteira.

deepgp icon deepgp

Deep Gaussian Processes in matlab

dopamine icon dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

extended-kalman-filter icon extended-kalman-filter

Matlab and C++ code for implementation of the Extended Kalman Filter for estimating dynamic quantities for a single rigid body with distributed force/torque measurements and distributed gyroscopes and accelerometers measurements.It also include estimation of the orientation under the quaternion representation.

fbhale icon fbhale

FBHALE provides a conceptual multidisciplinary design framework for high altitude long endurance (HALE) aircraft development.

gpmat icon gpmat

Matlab implementations of Gaussian processes and other machine learning tools.

gprn icon gprn

Code for the paper 'Efficient Variational Inference for Gaussian Process Regression Networks'

gprt icon gprt

Gaussian Process Regression Techniques - The source code corresponding to the Ph.D. thesis.

gptp_multi_output icon gptp_multi_output

multivariate Gaussian process regression and multivariate Student-t process regression

gpz icon gpz

GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data

jsbsim icon jsbsim

An open source flight dynamics & control software library

longp icon longp

Gaussian process regression + automatical model selection for logitudinal -omics data

multigp icon multigp

Multiple output Gaussian processes in MATLAB including the latent force model.

openaerostruct icon openaerostruct

OpenAeroStruct is a lightweight tool that performs aerostructural optimization using OpenMDAO.

openfast icon openfast

Main repository for the NREL-supported OpenFAST whole-turbine simulation code. Further documentation is available at

pde_gp icon pde_gp

Machine learning of linear differential equations using Gaussian processes

pinns icon pinns

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

sonig icon sonig

Matlab source code for the SONIG algorithm: Sparse Online Noisy-Input Gaussian process regression.

ssqueezepy icon ssqueezepy

Synchrosqueezing, wavelet transforms, and time-frequency analysis in Python

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