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We're missing ONNX support, but I'm going to close this until we pin down exactly how people will be using this library in Julia. It might be easier to use something like PyCall.
Prior art
ONNX
https://onnx.ai/about.html
OMLT
Supports ONNX
https://github.com/cog-imperial/OMLT/tree/main/src/omlt/neuralnet
https://github.com/cog-imperial/OMLT/blob/main/src/omlt/io/onnx_parser.py
Gurobi
Does not support ONNX
Use explicit bindings to PyTorch and tensorflow:
Supports only sequential NNs with ReLU and linear layers
Julia options
ONNX.jl
Seems partially supported. Not well maintained. The issue is the diversity of possible input models and their mapping to Julia.
Flux
Popular, if heavy, choice. Lots of options.
Lux
Well maintained. Simple. No ONNX support?
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