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lipschitz-network

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Constrained deep learning is an advanced approach to training deep neural networks by incorporating domain-specific constraints into the learning process.

  • UpdatedJan 13, 2025
  • MATLAB
deel-torchlip

Build and train Lipschitz-constrained networks: PyTorch implementation of 1-Lipschitz layers. For TensorFlow/Keras implementation, seehttps://github.com/deel-ai/deel-lip

  • UpdatedFeb 25, 2025
  • Python

[ICLR 2022] Training L_inf-dist-net with faster acceleration and better training strategies

  • UpdatedMar 16, 2022
  • Cuda

Code for Spectral Norm of Convolutional Layers with Circular and Zero Paddings and Efficient Bound of Lipschitz Constant for Convolutional Layers by Gram Iteration

  • UpdatedFeb 2, 2024
  • Python

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