BridgeDiffEq
A thin wrapper over Bridge.jl for the SciML scientific machine learning common interface, enabling new methods for neural stochastic differential equations (neural SDEs)
Science Score: 54.0%
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✓codemeta.json file
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○Academic publication links
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1 of 12 committers (8.3%) from academic institutions -
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Low similarity (9.9%) to scientific vocabulary
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Repository
A thin wrapper over Bridge.jl for the SciML scientific machine learning common interface, enabling new methods for neural stochastic differential equations (neural SDEs)
Basic Info
- Host: GitHub
- Owner: SciML
- License: other
- Language: Julia
- Default Branch: master
- Homepage: https://tutorials.sciml.ai/
- Size: 69.3 KB
Statistics
- Stars: 6
- Watchers: 3
- Forks: 7
- Open Issues: 5
- Releases: 1
Topics
Metadata Files
README.md
BridgeDiffEq.jl
This package contains bindings for Bridge.jl to allow it to be used with the JuliaDiffEq common interface. For more information on using the solvers from this package, see the DifferentialEquations.jl documentation.
Common API Usage
This library adds the common interface to Bridge.jl's solvers. See the DifferentialEquations.jl documentation for details on the interface. Following the Black-Scholes example from the SDE tutorial, we can solve this using BridgeEuler via the following:
julia
α=1
β=1
u0=1/2
f(u,p,t) = α*u
g(u,p,t) = β*u
dt = 1//2^(4)
tspan = (0.0,1.0)
prob = SDEProblem(f,g,u0,(0.0,1.0))
sol = solve(prob,BridgeEuler(),dt=dt)
using Plots; plot(sol,vars=(1,2,3))
The options available in solve are documented at the common solver options page. The available methods are documented at the ODE solvers page
and at the SDE solvers page.
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
- Delete event: 3
- Push event: 5
- Pull request review event: 1
- Pull request review comment event: 1
- Pull request event: 8
- Fork event: 1
- Create event: 4
Last Year
- Delete event: 3
- Push event: 5
- Pull request review event: 1
- Pull request review comment event: 1
- Pull request event: 8
- Fork event: 1
- Create event: 4
Committers
Last synced: 8 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Christopher Rackauckas | C****t@C****m | 33 |
| dependabot[bot] | 4****] | 8 |
| github-actions[bot] | 4****] | 4 |
| Anant Thazhemadam | a****m@g****m | 3 |
| Chris de Graaf | me@c****v | 2 |
| Yingbo Ma | m****5@g****m | 1 |
| Lilith Orion Hafner | l****r@g****m | 1 |
| Julia TagBot | 5****t | 1 |
| Hendrik Ranocha | m****l@r****e | 1 |
| David Widmann | d****n@i****e | 1 |
| Anshul Singhvi | a****7@s****u | 1 |
| Pepijn de Vos | p****s@j****m | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 6
- Total pull requests: 24
- Average time to close issues: about 1 month
- Average time to close pull requests: 1 day
- Total issue authors: 3
- Total pull request authors: 12
- Average comments per issue: 2.67
- Average comments per pull request: 0.0
- Merged pull requests: 24
- Bot issues: 0
- Bot pull requests: 13
Past Year
- Issues: 0
- Pull requests: 1
- Average time to close issues: N/A
- Average time to close pull requests: 2 minutes
- Issue authors: 0
- Pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 1
- Bot issues: 0
- Bot pull requests: 1
Top Authors
Issue Authors
- ChrisRackauckas (4)
- mschauer (1)
- JuliaTagBot (1)
Pull Request Authors
- dependabot[bot] (12)
- ChrisRackauckas (4)
- github-actions[bot] (4)
- LilithHafner (2)
- thazhemadam (2)
- christopher-dG (2)
- ranocha (1)
- YingboMa (1)
- devmotion (1)
- asinghvi17 (1)
- pepijndevos (1)
- JuliaTagBot (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
- Total downloads: unknown
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 2
juliahub.com: BridgeDiffEq
A thin wrapper over Bridge.jl for the SciML scientific machine learning common interface, enabling new methods for neural stochastic differential equations (neural SDEs)
- Homepage: https://tutorials.sciml.ai/
- Documentation: https://docs.juliahub.com/General/BridgeDiffEq/stable/
- License: MIT
-
Latest release: 0.1.1
published over 3 years ago
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