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)
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
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○DOI references
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○Academic publication links
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✓Committers with academic emails
7 of 36 committers (19.4%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (10.2%) to scientific vocabulary
Keywords
Keywords from Contributors
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
- Host: GitHub
- Owner: SciML
- License: other
- Language: Julia
- Default Branch: master
- Homepage: https://docs.sciml.ai/DiffEqNoiseProcess/stable/
- Size: 2.4 MB
Statistics
- Stars: 63
- Watchers: 9
- Forks: 30
- Open Issues: 22
- Releases: 108
Topics
Metadata Files
README.md
DiffEqNoiseProcess.jl
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
- 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{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
Top Committers
| Name | 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... | ||
Committer Domains (Top 20 + Academic)
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
Pull Request Labels
Packages
- Total packages: 1
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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)
- Homepage: https://docs.sciml.ai/DiffEqNoiseProcess/stable/
- Documentation: https://docs.juliahub.com/General/DiffEqNoiseProcess/stable/
- License: MIT
-
Latest release: 5.24.1
published about 1 year ago
Rankings
Dependencies
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