Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications
This book is a compilation of lecture notes from the MIT Course 18.337J/6.338J: Parallel Computing and Scientific Machine Learning. Links to the old notes https://mitmath.github.io/18337 will redirect here.
This repository is meant to be a live document, updating to continuously add the latest details on methods from the field of scientific machine learning and the latest techniques for high-performance computing.
To view this book, go to book.sciml.ai.
Editing the SciML Book
This is a Franklin.jl site.
Much of the material originated from Julia Markdown Documents (*.jmd).
Each of these documents are Weave.jl-ed with a custom template,
and the resulting HTML is inserted into a corresponding markdown file. Updating
the files in _weave will automatically update the webpages.
The theme is adapted from Tufte CSS.