Rambod Mojgani (rmojgani)

rmojgani

Geek Repo

Home Page:rmojgani.com

Twitter:@rmojgani1

Github PK Tool:Github PK Tool


Organizations
envfluids

Rambod Mojgani's repositories

LPINNs

To address some of the failure modes in training of physics informed neural networks, a Lagrangian architecture is designed to conform to the direction of travel of information in convection-diffusion equations, i.e., method of characteristic; The repository includes a pytorch implementation of PINN and proposed LPINN with periodic boundary conditions

Language:PythonStargazers:36Issues:5Issues:0

PhysicsAwareAE

The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-uniform parameter/time-varying grid, such that the Kolmogorov n-width of the mapped data on the learned grid is minimized.

Language:Jupyter NotebookStargazers:16Issues:6Issues:1

CFD_AUT

Project I : A control-volume-based finite element method is used to solve the in compressible flow, in a lid-driven cavity. Project II : Roe's Riemann solver is used for compressible Euler equations on unstructured grids, flow on an airfoil.

Language:GnuplotStargazers:12Issues:2Issues:0
Language:PythonStargazers:2Issues:1Issues:0
Language:Jupyter NotebookStargazers:1Issues:1Issues:0
Language:TeXStargazers:0Issues:1Issues:0

Cross-EOF-Eddy-Feedback-Model

This repository contains scripts/codes to calculate cross-EOF eddy-zonal flow feedbacks of the annular modes based on NCL

Language:NCLLicense:MITStargazers:0Issues:1Issues:0
Language:Jupyter NotebookStargazers:0Issues:1Issues:0

deepxde

Deep learning library for solving differential equations and more

Language:PythonLicense:Apache-2.0Stargazers:0Issues:1Issues:0
Stargazers:0Issues:2Issues:0

dominant-balance

Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)

License:MITStargazers:0Issues:0Issues:0

ExGAN

Adversarial Generation of Extreme Samples

Language:PythonLicense:Apache-2.0Stargazers:0Issues:1Issues:0

korali

High-performance framework for uncertainty quantification, optimization and reinforcement learning.

Language:C++License:MITStargazers:0Issues:0Issues:0
Language:Jupyter NotebookStargazers:0Issues:0Issues:0

nmor

Deep learning framework for model reduction of dynamical systems

Language:PythonStargazers:0Issues:2Issues:0

PINNpapers

Must-read Papers on Physics-Informed Neural Networks.

Language:PythonLicense:MITStargazers:0Issues:0Issues:0
Stargazers:0Issues:0Issues:0

PySR

High-Performance Symbolic Regression in Python and Julia

License:Apache-2.0Stargazers:0Issues:0Issues:0

RCESN_spatio_temporal

Spatio-temporal forecasting of Lorenz96 with RC-ESN, RNN-LSTM and ANN

Language:PythonStargazers:0Issues:1Issues:0

resume-template

:page_facing_up::briefcase::tophat: A simple Jekyll + GitHub Pages powered resume template.

Language:HTMLLicense:MITStargazers:0Issues:0Issues:0
Language:PythonStargazers:0Issues:3Issues:10
Stargazers:0Issues:2Issues:0
Language:HTMLLicense:MITStargazers:0Issues:0Issues:0

RNN-Lyapunov-Spectrum

A data-driven method to calculate the Lyapunov exponent of a dynamical system employing a GRU-RNN.

Language:PythonStargazers:0Issues:1Issues:0

rom-operator-inference-Python3

Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.

Language:PythonLicense:MITStargazers:0Issues:1Issues:0

ROM-OpInf-Combustion-2D

Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" by S. A. McQuarrie, C. Huang, and K. E. Willcox.

Language:PythonLicense:MITStargazers:0Issues:0Issues:0

rvm-find

Relevance Vector Machines (RVMs) for Bayesian data-driven discovery of PDEs.

Language:PythonStargazers:0Issues:1Issues:0
Stargazers:0Issues:0Issues:0
Language:MATLABLicense:MITStargazers:0Issues:1Issues:0