sophon.jl
Efficient, Accurate, and Streamlined Training of Physics-Informed Neural Networks
Science Score: 51.0%
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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
Links to: zenodo.org -
✓Committers with academic emails
1 of 7 committers (14.3%) from academic institutions -
○Institutional organization owner
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○Scientific vocabulary similarity
Low similarity (12.9%) to scientific vocabulary
Keywords
Keywords from Contributors
Repository
Efficient, Accurate, and Streamlined Training of Physics-Informed Neural Networks
Basic Info
- Host: GitHub
- Owner: YichengDWu
- License: mit
- Language: Julia
- Default Branch: main
- Homepage: https://yichengdwu.github.io/Sophon.jl/dev/
- Size: 169 MB
Statistics
- Stars: 58
- Watchers: 2
- Forks: 6
- Open Issues: 15
- Releases: 38
Topics
Metadata Files
README.md
Sophon
Sophon.jl provides specialized neural networks and neural operators for Physics-informed machine learning.
Use the documentation to explore the features.
Please star this repository if you find it useful.
Installation
To install Sophon, please open Julia's interactive session (REPL) and press ] key in the REPL to use the package mode, then type the following command
julia
pkg> add Sophon
Examples
More examples can be found in Sophon-Examples.
Gallery
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| Function Fitting | Multi-scale Poisson Equation | Convection Equation | Helmholtz Equation |
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| Allen-Cahn Equation | Schrödinger Equation | L-shaped Domain | SOD Shock Tube |
🏠 Stable & Mature Framework
The current version is highly stable and you can confidently use it for your projects. In the immediate future, we will not be introducing new features to the framework. Our focus is on maintaining its stability and robustness, ensuring that it stands resilient in various use-cases and scenarios.
We're here to help you with any issues or challenges you might encounter. Feel free to reach out!
Related Libraries
What's the difference between this package and NeuralPDE.jl?
The biggest difference is the explicit control over data sampling. Note that we have an example of an L-shape domain, and there is an example of a disk with a hole in this file.
Owner
- Name: Ethan Wu
- Login: YichengDWu
- Kind: user
- Location: Calgary, AB
- Repositories: 152
- Profile: https://github.com/YichengDWu
Citation (CITATION.bib)
cff-version: 1.2.0 message: "If you use this software, please cite it as below." authors: - family-names: "Wu" given-names: "Yicheng" orcid: "https://orcid.org/0000-0001-7739-5408" title: "Sophon.jl" version: 0.3.0 doi: 10.5281/zenodo.7065952 date-released: 2022-10-08 url: "https://github.com/YichengDWu/Sophon.jl"
GitHub Events
Total
- Watch event: 5
- Push event: 5
- Pull request event: 6
- Fork event: 1
- Create event: 5
Last Year
- Watch event: 5
- Push event: 5
- Pull request event: 6
- Fork event: 1
- Create event: 5
Committers
Last synced: over 1 year ago
Top Committers
| Name | Commits | |
|---|---|---|
| MilkshakeForReal | y****u@u****a | 1,016 |
| github-actions[bot] | 4****] | 46 |
| CompatHelper Julia | c****y@j****g | 42 |
| Pierre Navaro | p****o@m****r | 4 |
| dependabot[bot] | 4****] | 3 |
| Run-Fa Zhang | r****g@s****n | 2 |
| Arjit Seth | a****h@g****m | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 8 months ago
All Time
- Total issues: 19
- Total pull requests: 118
- Average time to close issues: about 2 months
- Average time to close pull requests: 8 days
- Total issue authors: 5
- Total pull request authors: 7
- Average comments per issue: 3.58
- Average comments per pull request: 0.68
- Merged pull requests: 85
- Bot issues: 0
- Bot pull requests: 55
Past Year
- Issues: 0
- Pull requests: 10
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 2
- Average comments per issue: 0
- Average comments per pull request: 0.1
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 9
Top Authors
Issue Authors
- YichengDWu (12)
- arthur-bizzi (3)
- finmod (2)
- JuliaTagBot (1)
- xtalax (1)
Pull Request Authors
- github-actions[bot] (57)
- YichengDWu (54)
- dependabot[bot] (8)
- r0uv3n (2)
- Runfa-Zhang (2)
- pnavaro (1)
- GodotMisogi (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
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Total downloads:
- julia 4 total
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 39
juliahub.com: Sophon
Efficient, Accurate, and Streamlined Training of Physics-Informed Neural Networks
- Homepage: https://yichengdwu.github.io/Sophon.jl/dev/
- Documentation: https://docs.juliahub.com/General/Sophon/stable/
- License: MIT
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Latest release: 0.5.0
published over 2 years ago
Rankings
Dependencies
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- codecov/codecov-action v2 composite
- julia-actions/cache v1 composite
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- julia-actions/RegisterAction latest composite