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matlab-deep-learning / SciML-and-Physics-Informed-Machine-Learning-Examples

This repository collates a number of MATLAB examples demonstrating Scientific Machine Learning (SciML) and Physics Informed Machine Learning.

Repository from Github https://github.commatlab-deep-learning/SciML-and-Physics-Informed-Machine-Learning-ExamplesRepository from Github https://github.commatlab-deep-learning/SciML-and-Physics-Informed-Machine-Learning-Examples

Could we create a markdown version of the MLX, so that the code is readable online?

conordaly0 opened this issue · comments

commented

SciML-and-Physics-Informed-Machine-Learning-Examples/universal-differential-equations/README.md

Line 3 in e23040b

This repository demonstrates how to use the Universal Differential Equation \[[1](#universal-ode)\] method to discover terms in a differential equation using neural networks, neural ODEs, and sparse symbolic regression \[[2](#sindy)\].