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Build and train Lipschitz constrained networks: TensorFlow implementation of k-Lipschitz layers
Constrained deep learning is an advanced approach to training deep neural networks by incorporating domain-specific constraints into the learning process.
Quantum faireness verifying algorithm based on calculating Lipschitz constant, an implementaion of paper: https://arxiv.org/pdf/2207.11173.pdf💿