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Building blocks for invertible neural networks in the Julia programming language.
Features
- Memory efficient building blocks for invertible neural networks
- Hand-derived gradients, Jacobians
- Flux integration
- Support for Zygote and ChainRules
- GPU support
- Includes various examples of invertible neural networks
Project Samples
License
MIT LicenseFollow InvertibleNetworks.jl
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