https://github.com/SciML/SciMLBook

Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
https://github.com/SciML/SciMLBook

differential-equations gpu-computing lecture-notes neural-networks neural-ode neural-sde numerical-methods parallelism performance-engineering scientific-machine-learning scientific-simulators sciml stiff-equations

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

• Host: GitHub
• URL: https://github.com/SciML/SciMLBook
• Owner: SciML
• Created: 2019-08-29T15:16:20.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2024-04-09T20:58:32.000Z (6 months ago)
• Last Synced: 2024-04-14T01:46:57.245Z (5 months ago)
• Topics: differential-equations, gpu-computing, lecture-notes, neural-networks, neural-ode, neural-sde, numerical-methods, parallelism, performance-engineering, scientific-machine-learning, scientific-simulators, sciml, stiff-equations
• Language: HTML
• Homepage: https://book.sciml.ai/
• Size: 107 MB
• Stars: 1,784
• Watchers: 66
• Forks: 327
• Open Issues: 17
• Metadata Files:
  • Readme: README.md
  • Citation: CITATION.bib

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README

        
# Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications

[![DOI](https://zenodo.org/badge/205191601.svg)](https://zenodo.org/badge/latestdoi/205191601)

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](https://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](https://edwardtufte.github.io/tufte-css/).