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RobustNeuralNetworks

A Julia package for robust neural networks.

https://github.com/acfr/robustneuralnetworks.jl

Science Score: 75.0%

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    DOI references
    Found 10 DOI reference(s) in README
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    Links to: arxiv.org, zenodo.org
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    Organization acfr has institutional domain (www.acfr.usyd.edu.au)
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    Low similarity (12.2%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

A Julia package for robust neural networks.

Basic Info
Statistics
  • Stars: 55
  • Watchers: 6
  • Forks: 5
  • Open Issues: 9
  • Releases: 10
Created over 3 years ago · Last pushed 7 months ago
Metadata Files
Readme License Citation

README.md

RobustNeuralNetworks.jl

Build Status

DOI DOI

A Julia package for robust neural networks built from the Recurrent Equilibrium Network (REN) and Lipschitz-Bounded Deep Network (LBDN) model classes. Please visit the docs page for detailed documentation.

Installation

To install the package, type the following into the REPL.

] add RobustNeuralNetworks

You should now be able to construct robust neural network models. The following example constructs a contracting REN and evalutates it given a batch of random initial states x0 and inputs u0.

```julia using Random using RobustNeuralNetworks

Setup

rng = Xoshiro(42) batches = 10 nu, nx, nv, ny = 4, 2, 20, 1

Construct a REN

contractingrenps = ContractingRENParams{Float64}(nu, nx, nv, ny; rng) ren = REN(contractingrenps)

Some random inputs

x0 = init_states(ren, batches; rng) u0 = randn(rng, ren.nu, batches)

Evaluate the REN over one timestep

x1, y1 = ren(x0, u0)

println(round.(y1;digits=2)) ```

The output should be:

julia [-1.49 0.75 1.34 -0.23 -0.84 0.38 0.79 -0.1 0.72 0.54]

Citing the Package

If you use RobustNeuralNetworks.jl for any research or publications, please cite our work as necessary. bibtex @article{barbara2025robustneuralnetworksjl, title = {RobustNeuralNetworks.jl: a Package for Machine Learning and Data-Driven Control with Certified Robustness}, author = {Nicholas H. Barbara and Max Revay and Ruigang Wang and Jing Cheng and Ian R. Manchester}, journal = {Proceedings of the JuliaCon Conferences}, publisher = {The Open Journal}, year = {2025}, volume = {7}, number = {68}, pages = {163}, doi = {10.21105/jcon.00163}, url = {https://doi.org/10.21105/jcon.00163}, }

Contact

Please contact Nic Barbara (nicholas.barbara@sydney.edu.au) with any questions.

Owner

  • Name: Australian Centre for Field Robotics
  • Login: acfr
  • Kind: organization
  • Location: Sydney, Australia

Citation (CITATION.bib) 

@article{barbara2023robustneuralnetworksjl,
   title   = {RobustNeuralNetworks.jl: a Package for Machine Learning and Data-Driven Control with Certified Robustness},
   author  = {Nicholas H. Barbara and Max Revay and Ruigang Wang and Jing Cheng and Ian R. Manchester},
   journal = {arXiv preprint arXiv:2306.12612},
   month   = {6},
   year    = {2023},
   url     = {https://arxiv.org/abs/2306.12612v1},
}

GitHub Events

Total
  • Create event: 4
  • Commit comment event: 2
  • Release event: 1
  • Watch event: 7
  • Delete event: 3
  • Issue comment event: 3
  • Push event: 13
  • Pull request review event: 1
  • Pull request event: 12
  • Fork event: 2
Last Year
  • Create event: 4
  • Commit comment event: 2
  • Release event: 1
  • Watch event: 7
  • Delete event: 3
  • Issue comment event: 3
  • Push event: 13
  • Pull request review event: 1
  • Pull request event: 12
  • Fork event: 2

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 40
  • Total pull requests: 92
  • Average time to close issues: about 1 month
  • Average time to close pull requests: 15 days
  • Total issue authors: 9
  • Total pull request authors: 8
  • Average comments per issue: 1.48
  • Average comments per pull request: 0.05
  • Merged pull requests: 77
  • Bot issues: 0
  • Bot pull requests: 25
Past Year
  • Issues: 2
  • Pull requests: 7
  • Average time to close issues: 3 days
  • Average time to close pull requests: about 2 hours
  • Issue authors: 2
  • Pull request authors: 2
  • Average comments per issue: 1.5
  • Average comments per pull request: 0.0
  • Merged pull requests: 5
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • nic-barbara (29)
  • MrstupidJ (2)
  • raywang1987 (2)
  • caxelrud (2)
  • pevnak (1)
  • jclinton830 (1)
  • pat-alt (1)
  • JuliaTagBot (1)
  • camilodlt (1)
Pull Request Authors
  • nic-barbara (60)
  • github-actions[bot] (24)
  • jclinton830 (2)
  • yuruizhang06 (1)
  • burtonjosh (1)
  • MrstupidJ (1)
  • EliottEccidio (1)
  • ppauli (1)
Top Labels
Issue Labels
enhancement (12) bug (3) good first issue (2) documentation (1)
Pull Request Labels
bug (1)

Packages

  • Total packages: 1
  • Total downloads:
    • julia 1 total
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 10
juliahub.com: RobustNeuralNetworks

A Julia package for robust neural networks.

  • Versions: 10
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 1 Total
Rankings
Dependent repos count: 9.9%
Dependent packages count: 38.8%
Average: 42.8%
Forks count: 55.3%
Stargazers count: 67.1%
Last synced: 7 months ago