InferOpt.jl is a toolbox for using combinatorial optimization algorithms within machine learning pipelines. It allows you to create differentiable layers from optimization oracles that do not have meaningful derivatives. Typical examples include mixed integer linear programs or graph algorithms.

Features

  • InferOpt.jl is a toolbox for using combinatorial optimization algorithms within machine learning pipelines
  • It allows you to create differentiable layers from optimization oracles that do not have meaningful derivatives
  • Typical examples include mixed integer linear programs or graph algorithms
  • Documentation available
  • Examples available

Project Samples

InferOpt.jl Screenshot 1

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Categories

Data Visualization

License

MIT License

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Julia

Related Categories

Julia Data Visualization Software

Registered

2023-12-06
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