scimlbook
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
Science Score: 64.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
-
✓Academic publication links
Links to: zenodo.org -
✓Committers with academic emails
7 of 43 committers (16.3%) from academic institutions -
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (5.3%) to scientific vocabulary
Keywords
Keywords from Contributors
Repository
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
Basic Info
- Host: GitHub
- Owner: SciML
- Language: HTML
- Default Branch: master
- Homepage: https://book.sciml.ai/
- Size: 117 MB
Statistics
- Stars: 1,929
- Watchers: 64
- Forks: 354
- Open Issues: 16
- Releases: 2
Topics
Metadata Files
README.md
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.
Owner
- Name: SciML Open Source Scientific Machine Learning
- Login: SciML
- Kind: organization
- Email: contact@chrisrackauckas.com
- Website: https://sciml.ai
- Twitter: SciML_Org
- Repositories: 170
- Profile: https://github.com/SciML
Open source software for scientific machine learning
Citation (CITATION.bib)
@software{SciMLBook,
author = {Rackauckas, Christopher},
doi = {10.5281/zenodo.6917234},
title = {Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications},
url = {https://github.com/SciML/SciMLBook},
year = {2022}
}
GitHub Events
Total
- Issues event: 8
- Watch event: 86
- Delete event: 4
- Issue comment event: 4
- Push event: 9
- Pull request review event: 1
- Pull request event: 19
- Fork event: 16
- Create event: 6
Last Year
- Issues event: 8
- Watch event: 86
- Delete event: 4
- Issue comment event: 4
- Push event: 9
- Pull request review event: 1
- Pull request event: 19
- Fork event: 16
- Create event: 6
Committers
Last synced: 6 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Chris Rackauckas | a****s@c****m | 172 |
| Jacob Vaverka | j****a@p****m | 11 |
| Sciemon | s****n@g****e | 10 |
| Alan Edelman | m****n@g****m | 7 |
| Bowen S. Zhu | b****u@f****u | 7 |
| Pietro Monticone | 3****e | 7 |
| CompatHelper Julia | c****y@j****g | 6 |
| Gustav W Delius | g****s@y****k | 4 |
| Arno Strouwen | a****n@t****e | 4 |
| David P. Sanders | d****s@g****m | 3 |
| Victor L | 9****4 | 3 |
| Vyom Patel | 4****m | 3 |
| maysam-gholampour | m****r@g****m | 3 |
| Raphael Saavedra | r****a@e****r | 2 |
| George Sterpu | g****u@g****m | 2 |
| Jerry Ling | p****n@j****v | 2 |
| Lalit Chauhan | l****y@g****m | 2 |
| Patrick Eli Catach | p****h@g****m | 2 |
| Will Dey | 5****y | 2 |
| Alex Haslam | a****x@o****g | 1 |
| Alexander Lenail | a****x@l****g | 1 |
| gregoirepourtier | g****r@i****m | 1 |
| anandijain | a****j@u****u | 1 |
| Wilhelm Kirchgässner | 1****n | 1 |
| VincentMeijer | v****r@g****m | 1 |
| Valentin Churavy | v****y@g****m | 1 |
| Tunç Başar Köse | t****e@a****i | 1 |
| Stephanie Fu | f****s@m****u | 1 |
| Simeon Schaub | s****b@m****u | 1 |
| Mark Payne | a****e@m****u | 1 |
| and 13 more... | ||
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 4 months ago
All Time
- Total issues: 36
- Total pull requests: 105
- Average time to close issues: 4 months
- Average time to close pull requests: 21 days
- Total issue authors: 28
- Total pull request authors: 29
- Average comments per issue: 0.81
- Average comments per pull request: 0.23
- Merged pull requests: 65
- Bot issues: 0
- Bot pull requests: 41
Past Year
- Issues: 6
- Pull requests: 17
- Average time to close issues: 3 days
- Average time to close pull requests: about 19 hours
- Issue authors: 5
- Pull request authors: 8
- Average comments per issue: 0.17
- Average comments per pull request: 0.12
- Merged pull requests: 11
- Bot issues: 0
- Bot pull requests: 6
Top Authors
Issue Authors
- alanedelman (7)
- jvaverka (2)
- BjarkeHautop (2)
- pharringtonp19 (1)
- kcarloni (1)
- Huite (1)
- billdenney (1)
- loonatick-src (1)
- ajahraus (1)
- kazimuth (1)
- arav-agarwal2 (1)
- xitology (1)
- Sciemon (1)
- giacomoran (1)
- HoshiSora-95 (1)
Pull Request Authors
- github-actions[bot] (49)
- ChrisRackauckas (8)
- alanedelman (8)
- Sciemon (6)
- pitmonticone (5)
- patelvyom (4)
- bowenszhu (3)
- ArnoStrouwen (3)
- jvaverka (3)
- LalitChauhan56 (2)
- aligurbu (2)
- vleon1234 (2)
- cwittens (2)
- tuncbkose (2)
- gustavdelius (2)
Top Labels
Issue Labels
Pull Request Labels
Dependencies
- JamesIves/github-pages-deploy-action releases/v3 composite
- actions/checkout v2 composite
- actions/setup-python v2 composite
- julia-actions/setup-julia v1 composite