maziarraissi/ParametricGP

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45
Rank 612,542 (Top 13 %)
Language
Python
License
MIT License
Created about 7 years ago
Updated over 4 years ago

maziarraissi/ParametricGP

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Parametric Gaussian Process Regression for Big Data

PINNs

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

Applied-Deep-Learning

Applied Deep Learning Course

HFM

Hidden Fluid Mechanics

DeepHPMs

Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations

FBSNNs

Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations

HPM

Hidden physics models: Machine learning of nonlinear partial differential equations

PetGPT

Train your own PetGPT at home!

Jupyter Notebook

DeepVIV

Deep Learning of Vortex Induced Vibrations

NumericalGP

Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations

MultistepNNs

Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems

TutorialGP

Tutorial on Gaussian Processes

backprop

Backpropagation in Python, C++, and Cuda

DeepLearningTutorial

Tutorial on a number of topics in Deep Learning

ParametricGP-in-Matlab

Parametric Gaussian Process Regression for Big Data (Matlab Version)

PDE_GP

Machine learning of linear differential equations using Gaussian processes

Introduction-to-Machine-Learning-in-R

Introduction to Machine Learning in R

Jupyter Notebook

DeepTurbulence

Deep Learning of Turbulent Scalar Mixing

APPM_Colloquium

Applied Mathematics (APPM) Department Colloquium