DiffEqNoiseProcess

A library of noise processes for stochastic systems like stochastic differential equations (SDEs) and other systems that are present in scientific machine learning (SciML)

https://github.com/sciml/diffeqnoiseprocess.jl

Science Score: 54.0%

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
  • Committers with academic emails
    7 of 36 committers (19.4%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (10.2%) to scientific vocabulary

Keywords

brownian-motion differential-equations neural-sde noise-processes scientific-machine-learning sciml sde stochastic-processes wiener-process

Keywords from Contributors

matrix-exponential pde ode julialang krylov-subspace-methods krylov-methods kiops exponential expokit expmv
Last synced: 6 months ago · JSON representation ·

Repository

A library of noise processes for stochastic systems like stochastic differential equations (SDEs) and other systems that are present in scientific machine learning (SciML)

Basic Info
Statistics
  • Stars: 63
  • Watchers: 9
  • Forks: 30
  • Open Issues: 22
  • Releases: 108
Topics
brownian-motion differential-equations neural-sde noise-processes scientific-machine-learning sciml sde stochastic-processes wiener-process
Created almost 9 years ago · Last pushed 6 months ago
Metadata Files
Readme License Citation

README.md

DiffEqNoiseProcess.jl

Join the chat at https://julialang.zulipchat.com #sciml-bridged Global Docs

codecov Build Status

ColPrac: Contributor's Guide on Collaborative Practices for Community Packages SciML Code Style

DiffEqNoiseProcess.jl is a component package in the DifferentialEquations ecosystem. It holds the tools for developing noise processes for differential equations. While completely independent and usable on its own, 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

Open source software for scientific machine learning

Citation (CITATION.bib)

@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: 11
  • Release event: 1
  • Issues event: 7
  • Watch event: 1
  • Delete event: 11
  • Issue comment event: 22
  • Push event: 41
  • Pull request review comment event: 4
  • Pull request review event: 4
  • Pull request event: 20
  • Fork event: 2
Last Year
  • Create event: 11
  • Release event: 1
  • Issues event: 7
  • Watch event: 1
  • Delete event: 11
  • Issue comment event: 22
  • Push event: 41
  • Pull request review comment event: 4
  • Pull request review event: 4
  • Pull request event: 20
  • Fork event: 2

Committers

Last synced: 8 months ago

All Time
  • Total Commits: 533
  • Total Committers: 36
  • Avg Commits per committer: 14.806
  • Development Distribution Score (DDS): 0.463
Past Year
  • Commits: 19
  • Committers: 5
  • Avg Commits per committer: 3.8
  • Development Distribution Score (DDS): 0.368
Top Committers
Name Email Commits
Christopher Rackauckas a****s@c****m 286
Ricardo Rosa r****a@g****m 69
Frank Schaefer f****r@u****h 69
Arno Strouwen a****n@t****e 18
github-actions[bot] 4****] 14
dependabot[bot] 4****] 13
Jonas j****n@p****e 9
David Widmann d****n 7
Anant Thazhemadam a****m@g****m 6
Florian Sammüller f****r@u****e 4
CompatHelper Julia c****y@j****g 4
Abhishek Bhatt a****0@g****m 3
oameye o****e@h****m 3
femtocleaner[bot] f****] 2
Takafumi Arakaki a****f@g****m 2
Spiros Baxevanakis s****s@g****m 2
Chris de Graaf me@c****v 2
Aayush Sabharwal a****l@j****m 2
YingboMa m****5@g****m 1
Pepijn de Vos p****s@j****m 1
Stefanos Carlström s****m@g****m 1
ScottPJones s****s@a****u 1
Samuel Isaacson i****s 1
Ramiro Vignolo r****o@g****m 1
Linus Heck l****k@r****e 1
Lilith Orion Hafner l****r@g****m 1
Krishna Bhogaonker c****q@g****m 1
Julia TagBot 5****t 1
Hendrik Ranocha m****l@r****e 1
Francesco Martinuzzi m****o@g****m 1
and 6 more...

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 43
  • Total pull requests: 133
  • Average time to close issues: 7 months
  • Average time to close pull requests: 6 days
  • Total issue authors: 21
  • Total pull request authors: 24
  • Average comments per issue: 7.0
  • Average comments per pull request: 0.83
  • Merged pull requests: 115
  • Bot issues: 0
  • Bot pull requests: 23
Past Year
  • Issues: 6
  • Pull requests: 13
  • Average time to close issues: about 2 months
  • Average time to close pull requests: about 5 hours
  • Issue authors: 5
  • Pull request authors: 4
  • Average comments per issue: 1.17
  • Average comments per pull request: 0.0
  • Merged pull requests: 11
  • Bot issues: 0
  • Bot pull requests: 2
Top Authors
Issue Authors
  • ChrisRackauckas (6)
  • rmsrosa (5)
  • frankschae (5)
  • ArnoStrouwen (4)
  • oameye (3)
  • damianodegaspari (2)
  • bertini97 (2)
  • danielwe (2)
  • Jonas-a-Zimmermann (2)
  • JuliaTagBot (1)
  • rvignolo (1)
  • glatteis (1)
  • vwiela (1)
  • stykoo (1)
  • mschauer (1)
Pull Request Authors
  • ChrisRackauckas (33)
  • frankschae (27)
  • ArnoStrouwen (17)
  • dependabot[bot] (17)
  • github-actions[bot] (11)
  • rmsrosa (8)
  • thazhemadam (4)
  • Jonas-a-Zimmermann (4)
  • devmotion (3)
  • LilithHafner (2)
  • AayushSabharwal (2)
  • oameye (2)
  • christopher-dG (2)
  • 00krishna (2)
  • sfalmo (2)
Top Labels
Issue Labels
bug (4) question (4)
Pull Request Labels
dependencies (16)

Packages

  • Total packages: 1
  • Total downloads:
    • julia 3,742 total
  • Total dependent packages: 11
  • Total dependent repositories: 2
  • Total versions: 89
juliahub.com: DiffEqNoiseProcess

A library of noise processes for stochastic systems like stochastic differential equations (SDEs) and other systems that are present in scientific machine learning (SciML)

  • Versions: 89
  • Dependent Packages: 11
  • Dependent Repositories: 2
  • Downloads: 3,742 Total
Rankings
Forks count: 5.3%
Dependent packages count: 5.6%
Average: 7.3%
Dependent repos count: 7.3%
Stargazers count: 11.0%
Last synced: 6 months ago

Dependencies

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