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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
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Data VisualizationLicense
MIT LicenseFollow InferOpt.jl
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