Maziar Raissi

Applied Deep Learning Course

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

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

Hidden Fluid Mechanics

Hidden physics models: Machine learning of nonlinear partial differential equations

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

Train your own PetGPT at home!

Deep Learning of Vortex Induced Vibrations

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

Tutorial on Gaussian Processes

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

Parametric Gaussian Process Regression for Big Data

Backpropagation in Python, C++, and Cuda

Tutorial on a number of topics in Deep Learning

Machine learning of linear differential equations using Gaussian processes

Introduction to Machine Learning in R

Parametric Gaussian Process Regression for Big Data (Matlab Version)

Deep Learning of Turbulent Scalar Mixing

Applied Mathematics (APPM) Department Colloquium

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