DiffEqParamEstim

Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions

https://github.com/sciml/diffeqparamestim.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
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DOI references
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Academic publication links
✓
Committers with academic emails
2 of 28 committers (7.1%) from academic institutions
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Institutional organization owner
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JOSS paper metadata
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Scientific vocabulary similarity
Low similarity (10.4%) to scientific vocabulary

Keywords

dae dde differential-algebraic-equations differential-equations differentialequations estimation neural-ode ode ordinary-differential-equations parameter-estimation scientfic-ml scientific-ai sde stochastic-differential-equations

Keywords from Contributors

pde matrix-exponential sciml neural-differential-equations julialang numerical partial-differential-equations stochastic-processes delay-differential-equations dynamical-systems

Last synced: 6 months ago · JSON representation ·

Repository

Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions

Basic Info

Host: GitHub
Owner: SciML
License: other
Language: Julia
Default Branch: master
Homepage: https://docs.sciml.ai/DiffEqParamEstim/stable/
Size: 3.79 MB

Statistics

Stars: 60
Watchers: 6
Forks: 33
Open Issues: 25
Releases: 55

Topics

Created over 9 years ago · Last pushed 6 months ago

Metadata Files

Readme License Citation

README.md

DiffEqParamEstim.jl

DiffEqParamEstim.jl is a component package in the DifferentialEquations ecosystem. It holds the parameter estimation tools. 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

Issues event: 2
Delete event: 5
Issue comment event: 1
Push event: 8
Pull request event: 12
Fork event: 1
Create event: 3

Last Year

Issues event: 2
Delete event: 5
Issue comment event: 1
Push event: 8
Pull request event: 12
Fork event: 1
Create event: 3

Committers

Last synced: 8 months ago

All Time

Total Commits: 557
Total Committers: 28
Avg Commits per committer: 19.893
Development Distribution Score (DDS): 0.578

Past Year

Commits: 11
Committers: 4
Avg Commits per committer: 2.75
Development Distribution Score (DDS): 0.364

Top Committers

Name	Email	Commits
Christopher Rackauckas	a**s@c**m	235
Ayush Pandey	a**p@g**m	108
Unknown	v**t@g**m	89
CompatHelper Julia	c**y@j**g	37
github-actions[bot]	4****]	20
Arno Strouwen	a**n@t**e	15
dependabot[bot]	4****]	11
David Widmann	d****n	7
yakovlev31	v**1@g**m	6
maja.k.gwozdz@gmail.com	m**z@g**m	4
femtocleaner[bot]	f****]	3
Brent Halonen	b**n@g**m	2
Chris de Graaf	me@c****v	2
Fredrik Bagge Carlson	b**n@g**m	2
finmod	f****d	2
wg030	3****0	2
Anant Thazhemadam	4****m	1
Anshul Singhvi	a**7@s**u	1
Benjamin Chu	b**9@h**m	1
Elliot Saba	s**t@g**m	1
Fabian Bernhard	1****n	1
Hendrik Ranocha	m**l@r**e	1
Julia TagBot	5****t	1
Lilith Orion Hafner	l**r@g**m	1
Pengfei Song	a**e@g**m	1
ScottPJones	s**s@a**u	1
Pepijn de Vos	p**s@j**m	1
Tony Kelman	t**y@k**t	1

Committer Domains (Top 20 + Academic)

kelman.net: 1 juliacomputing.com: 1 alum.mit.edu: 1 ranocha.de: 1 simons-rock.edu: 1 cdg.dev: 1 telenet.be: 1 julialang.org: 1 chrisrackauckas.com: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time

Total issues: 25
Total pull requests: 138
Average time to close issues: 8 months
Average time to close pull requests: 5 days
Total issue authors: 22
Total pull request authors: 21
Average comments per issue: 6.92
Average comments per pull request: 0.19
Merged pull requests: 120
Bot issues: 0
Bot pull requests: 76

Past Year

Issues: 2
Pull requests: 11
Average time to close issues: about 16 hours
Average time to close pull requests: 2 days
Issue authors: 2
Pull request authors: 4
Average comments per issue: 0.5
Average comments per pull request: 0.0
Merged pull requests: 9
Bot issues: 0
Bot pull requests: 8

View more stats

Top Authors

Issue Authors

ChrisRackauckas (2)
ArnoStrouwen (2)
moesphere (1)
tobydriscoll (1)
Ayush-iitkgp (1)
fdekerme (1)
JuliaTagBot (1)
fleimgruber (1)
atrophiedbrain (1)
biona001 (1)
CasBex (1)
TorkelE (1)
pkpddude (1)
ParamThakkar123 (1)
ValentinKaisermayer (1)

Pull Request Authors

github-actions[bot] (62)
ArnoStrouwen (19)
dependabot[bot] (17)
ChrisRackauckas (14)
Vaibhavdixit02 (5)
mkg33 (4)
thazhemadam (4)
devmotion (2)
christopher-dG (2)
JuliaTagBot (1)
biona001 (1)
wg030 (1)
LilithHafner (1)
ranocha (1)
fabern (1)

Top Labels

Issue Labels

bug (3)

Pull Request Labels

dependencies (17)

Packages

Total packages: 1
Total downloads:
- julia 39 total

Total dependent packages: 1
Total dependent repositories: 2
Total versions: 40

juliahub.com: DiffEqParamEstim

Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions

Homepage: https://docs.sciml.ai/DiffEqParamEstim/stable/
Documentation: https://docs.juliahub.com/General/DiffEqParamEstim/stable/
License: MIT
Latest release: 2.2.0
published about 2 years ago

Versions: 40
Dependent Packages: 1
Dependent Repositories: 2
Downloads: 39 Total

Rankings

Forks count: 4.5%

Dependent repos count: 7.3%

Stargazers count: 11.7%

Average: 11.9%

Dependent packages count: 24.0%

Last synced: 6 months ago

Dependencies

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