SciMLSensitivity
A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc.
Science Score: 54.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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✓Committers with academic emails
11 of 59 committers (18.6%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (9.5%) to scientific vocabulary
Keywords
adjoint
backpropogation
dae
dde
differential-equations
differentialequations
hacktoberfest
neural-ode
neural-sde
ode
scientific-machine-learning
sciml
sde
sensitivity-analysis
Keywords from Contributors
pde
ordinary-differential-equations
partial-differential-equations
neural-differential-equations
stochastic-differential-equations
delay-differential-equations
differential-algebraic-equations
matrix-exponential
stochastic-processes
jax
Last synced: 6 months ago
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Repository
A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc.
Basic Info
- Host: GitHub
- Owner: SciML
- License: other
- Language: Julia
- Default Branch: master
- Homepage: https://docs.sciml.ai/SciMLSensitivity/stable/
- Size: 89.7 MB
Statistics
- Stars: 359
- Watchers: 18
- Forks: 78
- Open Issues: 118
- Releases: 258
Topics
adjoint
backpropogation
dae
dde
differential-equations
differentialequations
hacktoberfest
neural-ode
neural-sde
ode
scientific-machine-learning
sciml
sde
sensitivity-analysis
Created over 9 years ago
· Last pushed 6 months ago
Metadata Files
Readme
License
Citation
README.md
SciMLSensitivity.jl
SciMLSensitivity.jl is a component package in the SciML Scientific Machine Learning ecosystem. It holds the sensitivity analysis utilities. Users interested in using this functionality should check out DifferentialEquations.jl.
Tutorials and Documentation
For information on using the package, see the stable documentation. Use the in-development documentation for the version of the documentation, which contains the unreleased features.
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)
@article{rackauckas2020universal,
title={Universal differential equations for scientific machine learning},
author={Rackauckas, Christopher and Ma, Yingbo and Martensen, Julius and Warner, Collin and Zubov, Kirill and Supekar, Rohit and Skinner, Dominic and Ramadhan, Ali},
journal={arXiv preprint arXiv:2001.04385},
year={2020}
}
@article{DifferentialEquations.jl-2017,
author = {Rackauckas, Christopher and Nie, Qing},
doi = {10.5334/jors.151},
journal = {The Journal of Open Research Software},
keywords = {Applied Mathematics},
note = {Exported from https://app.dimensions.ai on 2019/05/05},
number = {1},
pages = {},
title = {DifferentialEquations.jl – A Performant and Feature-Rich Ecosystem for Solving Differential Equations in Julia},
url = {https://app.dimensions.ai/details/publication/pub.1085583166 and http://openresearchsoftware.metajnl.com/articles/10.5334/jors.151/galley/245/download/},
volume = {5},
year = {2017}
}
GitHub Events
Total
- Create event: 81
- Commit comment event: 4
- Issues event: 44
- Release event: 20
- Watch event: 22
- Delete event: 55
- Issue comment event: 245
- Push event: 350
- Pull request review event: 125
- Pull request review comment event: 113
- Pull request event: 165
- Fork event: 9
Last Year
- Create event: 81
- Commit comment event: 4
- Issues event: 44
- Release event: 20
- Watch event: 22
- Delete event: 55
- Issue comment event: 245
- Push event: 350
- Pull request review event: 125
- Pull request review comment event: 113
- Pull request event: 165
- Fork event: 9
Committers
Last synced: 8 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Chris Rackauckas | a****s@c****m | 1,633 |
| Frank Schaefer | f****r@u****h | 381 |
| DhairyaLGandhi | d****a@j****m | 217 |
| Yingbo Ma | m****5@g****m | 147 |
| Vaibhavdixit02 | v****t@g****m | 120 |
| CompatHelper Julia | c****y@j****g | 71 |
| ArnoStrouwen | a****n@t****e | 53 |
| Avik Pal | a****l@m****u | 47 |
| github-actions[bot] | 4****] | 40 |
| siddharthlal25 | s****5@g****m | 33 |
| jClugstor | j****n@g****m | 28 |
| Abhishek Bhatt | a****0@g****m | 27 |
| Alex Cohen | a****n@m****u | 24 |
| willtebbutt | w****t@t****k | 19 |
| Shambles | y****u@u****a | 18 |
| Victor L | 9****4 | 13 |
| Mike Innes | m****s@g****m | 12 |
| dependabot[bot] | 4****] | 11 |
| Pawel Latawiec | p****c@h****m | 10 |
| Anant Thazhemadam | a****m@j****m | 9 |
| Hossein Pourbozorg | p****g@g****m | 8 |
| Taylor McDonnell | t****l@g****m | 8 |
| Vedant Puri | v****i@g****m | 7 |
| Abhishek Bhatt | 4****t | 5 |
| Frames White | me@o****t | 5 |
| Dhairya Gandhi | d****a@j****m | 4 |
| Sharv | v****y@g****m | 4 |
| Aaron Meyer | a@a****e | 4 |
| Aayush Sabharwal | a****l@g****m | 4 |
| Chris Elrod | e****c@g****m | 3 |
| and 29 more... | ||
Committer Domains (Top 20 + Academic)
mit.edu: 3
juliacomputing.com: 2
chrisrackauckas.com: 1
unibas.ch: 1
julialang.org: 1
telenet.be: 1
turing.ac.uk: 1
ucalgary.ca: 1
juliahub.com: 1
oxinabox.net: 1
juliacopmuting.com: 1
ameyer.me: 1
princeton.edu: 1
informatik.uni-augsburg.de: 1
cdg.dev: 1
alum.mit.edu: 1
rwth-aachen.de: 1
ranocha.de: 1
lanl.gov: 1
simons-rock.edu: 1
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 152
- Total pull requests: 548
- Average time to close issues: 5 months
- Average time to close pull requests: 19 days
- Total issue authors: 71
- Total pull request authors: 36
- Average comments per issue: 9.14
- Average comments per pull request: 1.15
- Merged pull requests: 382
- Bot issues: 1
- Bot pull requests: 136
Past Year
- Issues: 43
- Pull requests: 190
- Average time to close issues: about 1 month
- Average time to close pull requests: 11 days
- Issue authors: 23
- Pull request authors: 15
- Average comments per issue: 1.6
- Average comments per pull request: 0.98
- Merged pull requests: 132
- Bot issues: 1
- Bot pull requests: 44
Top Authors
Issue Authors
- ChrisRackauckas (16)
- ArnoStrouwen (14)
- prbzrg (12)
- albertomercurio (7)
- jClugstor (5)
- m-bossart (5)
- ThummeTo (5)
- frankschae (4)
- glatteis (4)
- albangossard (3)
- sebapersson (3)
- staticfloat (3)
- moble (3)
- avik-pal (3)
- daviehh (3)
Pull Request Authors
- ChrisRackauckas (204)
- github-actions[bot] (120)
- ArnoStrouwen (45)
- DhairyaLGandhi (27)
- avik-pal (27)
- jClugstor (18)
- dependabot[bot] (16)
- thazhemadam (8)
- Vaibhavdixit02 (8)
- frankschae (7)
- AayushSabharwal (7)
- sharvmurgai (6)
- prbzrg (6)
- acoh64 (5)
- moble (4)
Top Labels
Issue Labels
bug (60)
question (7)
upstream (6)
good-first-issue (3)
Pull Request Labels
dependencies (16)
Packages
- Total packages: 1
-
Total downloads:
- julia 686 total
- Total dependent packages: 12
- Total dependent repositories: 0
- Total versions: 120
juliahub.com: SciMLSensitivity
A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc.
- Homepage: https://docs.sciml.ai/SciMLSensitivity/stable/
- Documentation: https://docs.juliahub.com/General/SciMLSensitivity/stable/
- License: MIT
-
Latest release: 7.89.0
published 7 months ago
Rankings
Forks count: 2.5%
Stargazers count: 3.2%
Average: 6.7%
Dependent repos count: 9.9%
Dependent packages count: 11.0%
Last synced:
6 months ago
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