https://github.com/juliasmoothoptimizers/fluxnlpmodels.jl
https://github.com/juliasmoothoptimizers/fluxnlpmodels.jl
Last synced: about 1 year ago
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- Host: GitHub
- URL: https://github.com/juliasmoothoptimizers/fluxnlpmodels.jl
- Owner: JuliaSmoothOptimizers
- License: other
- Created: 2023-05-04T16:15:15.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2024-12-14T14:31:08.000Z (over 1 year ago)
- Last Synced: 2025-06-06T18:12:23.836Z (about 1 year ago)
- Language: Julia
- Size: 539 KB
- Stars: 6
- Watchers: 2
- Forks: 3
- Open Issues: 10
-
Metadata Files:
- Readme: README.md
- License: LICENSE.md
- Citation: CITATION.bib
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README
# FluxNLPModels: An NLPModels Interface to Flux
[](https://JuliaSmoothOptimizers.github.io/FluxNLPModels.jl/stable)
[](https://JuliaSmoothOptimizers.github.io/FluxNLPModels.jl/dev)
[](https://github.com/JuliaSmoothOptimizers/FluxNLPModels.jl/actions)
[](https://codecov.io/gh/JuliaSmoothOptimizers/FluxNLPModels.jl)
This package serves as an NLPModels interface to the [Flux.jl](https://github.com/FluxML/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](https://JuliaSmoothOptimizers.github.io/FluxNLPModels.jl/stable/) 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`](https://github.com/JuliaSmoothOptimizers/FluxNLPModels.jl/blob/main/CITATION.bib).
## Bug Reports and Discussions
If you encounter any bugs or have suggestions for improvement, please open an [issue](https://github.com/JuliaSmoothOptimizers/FluxNLPModels.jl/issues). For general questions or discussions related to this repository and the [JuliaSmoothOptimizers](https://github.com/JuliaSmoothOptimizers) organization, feel free to start a discussion [here](https://github.com/JuliaSmoothOptimizers/Organization/discussions).