Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)

18.S096 - Applications of Scientific Machine Learning

Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.

SciML-Bench Benchmarks for Scientific Machine Learning (SciML), Physics-Informed Machine Learning (PIML), and Scientific AI Performance

A Tutorial for Parallelised Scalable Simulations in TensorFlow

Stanford Appel Lab - Study Pharmacokinetics Project: Pharmacokinetic Data Modeling and Visualization Tool. Primary usage for drug delivery studies. Web app written in HTML/CSS/JS using libraries from CDNs so it can be deployed on static pages.

Dynamic Weight Change Model

Numerical Analysis Projects

Optimal control with GAMS

Maxima Minima For Multivariable Equations Using Lagrange Multipliers

Simulate a spying strategy on a topography

Solución a problemas utilizando tecnicas numericas

Source code for the website of the Nonlinear Meeting 2021

Tutorial for Statistical Inference with Julia.

Housing useful resusable equations and formulas in calculus, discrete mathematics, and linear algebra.

One dimensional finite element method forward solver helper functions with an example on solving 1D elliptic boundary value problem.

An interactive article about Lotka–Volterra differential equations.

Differential equations used for the basic RLC circuit analysis with numerical methods implementation.

R wrapper for modeling ODEs in Stan.

Computes inner/outer approximations of flowpipes for systems of autonomous first-order ODEs