lipschitz-network

There are 2 repositories under lipschitz-network topic.

matlab-deep-learning / constrained-deep-learning
Constrained deep learning is an advanced approach to training deep neural networks by incorporating domain-specific constraints into the learning process.
ai-verification convex convex-neural-network deep-learning deep-learning-algorithms lipschitz lipschitz-network monotonic monotonicity neural-networks
Language:MATLAB 32
deel-torchlip
deel-ai / deel-torchlip
Build and train Lipschitz-constrained networks: PyTorch implementation of 1-Lipschitz layers. For TensorFlow/Keras implementation, see https://github.com/deel-ai/deel-lip
lipschitz-network pytorch robustness
Language:Python 22
zbh2047 / L_inf-dist-net-v2
[ICLR 2022] Training L_inf-dist-net with faster acceleration and better training strategies
adversarial-robustness certified-robustness lipschitz-network certified-defense l-inf-dist-net
Language:Cuda 22
blaisedelattre / lip4conv
Code for Spectral Norm of Convolutional Layers with Circular and Zero Paddings and Efficient Bound of Lipschitz Constant for Convolutional Layers by Gram Iteration
convolutional-layers lipschitz-constant lipschitz-network lipschitz-regularization norm spectral pytorch
Language:Python 12

matlab-deep-learning / constrained-deep-learning