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Name: Rensselaer Intelligent Structural Systems Laboratory
Type: Organization
Location: Troy, NY
Name: Rensselaer Intelligent Structural Systems Laboratory
Type: Organization
Location: Troy, NY
Collaborative multi-output Gaussian processes
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.
Deep Gaussian Processes in matlab
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
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 provides a conceptual multidisciplinary design framework for high altitude long endurance (HALE) aircraft development.
Matlab implementations of Gaussian processes and other machine learning tools.
Code for the paper 'Efficient Variational Inference for Gaussian Process Regression Networks'
Gaussian Process Regression Techniques - The source code corresponding to the Ph.D. thesis.
multivariate Gaussian process regression and multivariate Student-t process regression
GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data
[IrisToolbox] for Macroeconomic Modeling
An open source flight dynamics & control software library
Physics informed Machine Learning tutorial (pytorch)
Gaussian process regression + automatical model selection for logitudinal -omics data
Collection of Matlab tools developed for use with OpenFAST
Multiple output Gaussian processes in MATLAB including the latent force model.
OpenAeroStruct is a lightweight tool that performs aerostructural optimization using OpenMDAO.
Main repository for the NREL-supported OpenFAST whole-turbine simulation code. Further documentation is available at
Machine learning of linear differential equations using Gaussian processes
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
Matlab source code for the SONIG algorithm: Sparse Online Noisy-Input Gaussian process regression.
Synchrosqueezing, wavelet transforms, and time-frequency analysis in Python
Tutorial on Gaussian Processes
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.