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beamz9000

A handy wrapper around common plotting libraries for rendering beams and beam force and moment diagrams.

causal-pinn-for-beam

Transfer learning for improved generalizability in causal physics-informed neural networks for beam simulations

data-science-101

Notes and tutorials on how to use python, pandas, seaborn, numpy, matplotlib, scipy for data science.

deepxde

A library for scientific machine learning and physics-informed learning

dirac

A python jupyter notebook that solves the Dirac equation using the Leapfrog scheme. The notebook solves the Dirac equation, plots the wave functions over time, plots the probability density over time and current. There is also a gif creator function at the end to help create gifs from the pictures.

disma

MATLAB package providing different finite elements used throughout computational science and engineering for the approximate solution of space-time PDEs.

feebb

Finite element beam analysis using Euler-Bernoulli beam theory.

first_repo

firstrepo

fractal-screen-scattering

A collection of codes for modelling acoustic and electro-magnetic scattering by fractal screens.

handcalcs

Python library for converting Python calculations into rendered latex.

hnabemlab

Fast solver for high frequency scattering problems in 2-dimensions.

jellybeam

FEniCS/DOLFIN modal analysis of Timoshenko beams with FSI coupling using preCICE

mathjax-src

MathJax source code for version 3 and beyond

nql

Mathematical library collecting popular quadrature algorithms implemented in MATLAB for fast and accurate approximations of definite integrals.

numerical-methods-with-matlab

Numerical methods with MATLAB, mainly for PDEs.

oscode

Code for efficient solution of oscillatory ordinary differential equations

pathfinder

A Matlab quadrature routine for oscillatory integrals

pdesbynns

This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means of neural networks using TensorFlow.

petibm

PetIBM - toolbox and applications of the immersed-boundary method on distributed-memory architectures

pinns

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

pinns_beam

Complex beam PDEs are solved using physics informed neural networks

python_ka_chilla_dobara

This repo includes every materials taught in this chilla

quick-machine-learning-notes

Quick notes on Machine Learning. Read on the fly.

sa-pinns

Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]

second_repo

seq2seq-deep-learning-demo

This is a demo for deep learning for sequence modelling, with some discussions on the theoretical aspects with references to our work.

stability_rbf_cfs

Code for the Paper "Towards Stability of Radial Basis Function Based Cubature Formulas" by Glaubitz and Reeger

structural-engineering

Structural Engineering Modules (Python 2.7 primarily)

themba