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fluxnlpmodels.jl

https://github.com/juliasmoothoptimizers/fluxnlpmodels.jl

Science Score: 44.0%

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
  • ○
    Academic email domains
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    Institutional organization owner
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    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (11.3%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: JuliaSmoothOptimizers
  • License: other
  • Language: Julia
  • Default Branch: main
  • Size: 539 KB
Statistics
  • Stars: 6
  • Watchers: 2
  • Forks: 3
  • Open Issues: 10
  • Releases: 2
Created almost 3 years ago · Last pushed about 1 year ago
Metadata Files
Readme License Citation Zenodo

README.md

FluxNLPModels: An NLPModels Interface to Flux

Stable Dev Build Status Codecov

This package serves as an NLPModels interface to the Flux.jl deep learning framework. It enables seamless integration between Flux's neural network architectures and NLPModels' optimization tools for non-linear programming (NLP) problems.

Installation

To use FluxNLPModels, add the package in the Julia package manager:

julia pkg> add FluxNLPModels

How to Use

Please refer to the documentation for detailed usage instructions and examples.

How to Cite

If you use FluxNLPModels.jl in your work, please cite it using the provided format in CITATION.bib.

Bug Reports and Discussions

If you encounter any bugs or have suggestions for improvement, please open an issue. For general questions or discussions related to this repository and the JuliaSmoothOptimizers organization, feel free to start a discussion here.

Owner

  • Name: JuliaSmoothOptimizers
  • Login: JuliaSmoothOptimizers
  • Kind: organization
  • Location: DOI: 10.5281/zenodo.2655082

Infrastructure and Solvers for Continuous Optimization in Julia

Citation (CITATION.bib) 

@Misc{raynaud2022,
  author = {Farhad Rahbarnia and Paul Raynaud},
  title = {{FluxNLPModels.jl}: An {NLPModels} Interface to {Flux}},
  month = {June},
  howpublished = {\url{https://github.com/JuliaSmoothOptimizers/FluxNLPModels}},
  year = {2022},
  DOI = {10.5281/zenodo.6984500} % TODO
}

GitHub Events

Total
  • Issues event: 1
  • Delete event: 2
  • Push event: 3
  • Pull request event: 5
  • Fork event: 1
  • Create event: 3
Last Year
  • Issues event: 1
  • Delete event: 2
  • Push event: 3
  • Pull request event: 5
  • Fork event: 1
  • Create event: 3

Issues and Pull Requests

Last synced: 7 months ago

All Time
  • Total issues: 21
  • Total pull requests: 19
  • Average time to close issues: about 1 month
  • Average time to close pull requests: 5 days
  • Total issue authors: 6
  • Total pull request authors: 5
  • Average comments per issue: 1.71
  • Average comments per pull request: 1.11
  • Merged pull requests: 15
  • Bot issues: 0
  • Bot pull requests: 4
Past Year
  • Issues: 1
  • Pull requests: 3
  • Average time to close issues: N/A
  • Average time to close pull requests: about 20 hours
  • Issue authors: 1
  • Pull request authors: 2
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 2
  • Bot issues: 0
  • Bot pull requests: 1
View more stats
Top Authors
Issue Authors
  • tmigot (5)
  • farhadrclass (4)
  • d-monnet (1)
  • lrsantos11 (1)
  • dpo (1)
  • JuliaTagBot (1)
Pull Request Authors
  • farhadrclass (8)
  • tmigot (7)
  • github-actions[bot] (5)
  • d-monnet (1)
  • paraynaud (1)
Top Labels
Issue Labels
test (2) documentation (1) question (1) bug (1)
Pull Request Labels
formatting (5) automated pr (5) no changelog (5) documentation (1)

Dependencies

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