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applied-deep-learning

Applied Deep Learning Course

bayesianmodelupdating

Tutorials and examples of advanced sampling methods for solving Bayesian Model Updating Problems

cive497-cive700

Smart Structure Technology (Winter, 2019)

cslatec

C version of Slatec ⚗

datafiles

dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

ensemble-mcmc

Computer code for implementing the ensemble MCMC method of https://arxiv.org/abs/1906.02014.

fourier_neural_operator

Use Fourier transform to learn operators in differential equations.

hpinn

hPINN: Physics-informed neural networks with hard constraints

lrslibrary

Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos

pde-backward-solver

pod-pinn

POD-PINN code and manuscript

programs

Programs

psi-pde

A robust method of learning PDEs from dynamical systems.

rajdipnayek.github.io

A beautiful, simple, clean, and responsive Jekyll theme for academics

saem-sl

A MATLAB implementation of the likelihood-free synthetic likelihood SAEM algorithm by U. Picchini in arXiv:1609.03508

sde

Example codes for the book Applied Stochastic Differential Equations

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs

tutorials

uq-course

Introduction to Uncertainty Quantification