ansys-automation-using-python

bib-file-abbreviated

Convert bib file with full Journal name to abbreviated names in a sane way.

blender-renders

This repo contains Blender renders.

bosch_torchphysics

PIML

deepinn

A Physics-informed neural network (PINN) library.

deepxde

A library for scientific machine learning and physics-informed learning

deepxde-frontend

A GUI frontend for DeepXDE.

dockerised-lyx

A Dockerised LyX

dynamics-earthquake-analysis-of-structures

The main objectives of this individual project are: 1) to further enhance the understanding of the numerical time integration method – Newmark’s algorithm by numerically investigating its accuracy and stability, and by implementing it using a computer programming language (e.g. MatLab, C, C++, or Python); 2) to generate the earthquake response spectra from a particular earthquake; and 3) to undertake an earthquake analysis of a simple frame structure.

env-path-gui

A Tkinter based GUI to modify linux environment paths ($PATH)

fourier-neural-operator-simple

geo-fno

Geometry-Aware Fourier Neural Operator (Geo-FNO)

gnome-desktop-entry

A Desktop Entry editor for GNOME.

julia-for-hpc

Julia + HPC + Machine learning

learning-python-physics-informed-machine-learning-pinns-deeponets

Physics Informed Machine Learning Tutorials (Pytorch and Jax)

machine_learning

modulus

A PyTorch based deep-learning toolkit for developing DL models for physical systems

modulus-launch

Repo of optimized training recipes for accelerating PyTorch workflows of AI driven surrogates for physical systems

modulus-sym

An abstracted framework for training AI surrogates of physical systems using physics-based symbolic loss functions

modulus-toolchain

Suite of utilities aiming to simplify the workflow required to build models using Physics Informed Neural Networks and, eventually, Physics ML more broadly. This includes facilities for project management, problem definition, debugging, model configuration and training, and model inference.

msc_ai_notebooks

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

nasa_shock

This is the code for "Neural Network Reconstruction of Plasma Space-Time" by C.Bard and J.Dorelli (DOI: 10.3389/fspas.2021.732275). It is a Physics-Informed Transformer Neural Network which was used to reconstruct one-dimensional (M)HD shocktubes from partial samples. Includes source code, data, and jupyter notebooks for scientific reproduction

new-reddit-redirect

Userscript to automatically redirect you to new.reddit.com

numerical-methods

Some of the numerical methods that I use in my work

nvidia-modulus-legacy-docs

NVIDIA modulus legacy docs

old_personal_website

Old personal academic website

openfoam_learning

This repository consists of simulation of some benchmark CFD problem.

optimization-codes

EG-M07 module codes

org.lyx.lyx

Flathub LyX fork

p5.js-tutorials