andrewtuma Goto Github PK

adventofcode2022

Advent of Code challenges done in python.

ae601

Code from my Computational Fluid Dynamics Course: AE601

andrewtuma.github.io

cnn_test

Testing a modularized CNN

dmd_autoencoder

Enhancing Dynamic Mode Decomposition using Autoencoder Networks.

gravityvisualization

Research Fall 2019 visualizing black hole gravitational fields

hankel_dldmd_me

My edits to hankel dmd

hankel_dmd

hankel_testing

hankeldldmd

Code for Hankel Deep Learning DMD - Part of Andrew Tuma Master's Thesis with Professor Chris Curtis, SDSU Applied Math, Spring 2022

lkb_machine

Deep learning framework based on the Lusch, Kutz, Brunton Koopman analysis machine (Lusch et al 2018)

numerical-relativity

Mathematics scientific initiation project in numerical relativity at UFMG

oceananigans.jl

🌊 Fast and friendly fluid dynamics on CPUs and GPUs

phys_2660

*Hopefully* all of the code from Physics 2660

projecteuler

https://projecteuler.net

pyx

A Python module for creating, reading, and editing Alteryx Designer workflows entirely in code

richardsonmodel

My attempt at taming the solutions of the arms race (Final for Math 636)

simpix

Code from UVA Computational Physics course

spectre

SpECTRE is a code for multi-scale, multi-physics problems in astrophysics and gravitational physics.