snidhan Goto Github PK

deeponet_study

Learning nonlinear operators via DeepONet

deepxde

A library for scientific machine learning

diffae_phys

Diffusion Autoencoders for PhyML

diffusion-based-fluid-super-resolution

eddy-cyl

A cylindrical solver of the Navier-Stokes that includes multiple LES implementations. Originally developed by Prof. Elias Balaras' group at George Washington University and modified by our group at UCSD to simulate stratified flows in multiple setups.

eddy-hybrid

A novel method to study the far signature (wake+waves) of moving objects in the ocean in a computationally feasible manner.

eddy6

A numerical framework for state-of-the-art simulations of turbulent flows

jupyterlab

JupyterLab computational environment.

mpnn

pinns-1

PyTorch Implementation of Physics-informed Neural Networks

pinns-turb

PINNs for data assimilation in turbulent flows

preproc_azimuthal_fft

The framework reads data slices at different downstream locations and perform azimuthal fft in homogeneous direction

preproc_new_stl_generator

Generates STL files from MATLAB framework

preproc_padding_restart_file

Padding the restart files that are output from Eddy6

preproc_slice_extraction_5p

For extraction of slices from 5p data files

preproc_spatial_interpolation

The framework is used for interpolating to finer grids for Eddy6

preproc_temporal_interpolation

The framework uses libraries to interpolate turbulence data in time

pytorchtutorial

PyTorch Tutorials from my YouTube channel

se207

Repository containing codes for SE207 - Machine Learning in Computational Mechanics

spectral-pca

Framework used for parallelized spectral PCA analysis of turbulent flow data

torchphysics

utilities

All utilities for running on HPC and misc. bash files

vimrc

The ultimate Vim configuration: vimrc

visualization_codes_eddy6

Fortan codes and jupyter notebooks for CFD data visualization