Lipschitz Estimation

Repository for the paper Lipschitz Regularity of deep neural networks: analysis and efficient estimation

Basic Python dependencies needed: PyTorch >= 0.3

Code organisation

• lipschitz_approximations.py: many estimators
• lipschitz_utils.py: toolbox for the different estimators
• seqlip.py: SeqLip and GreedySeqLip
• training.py: general scheme for train/test
• utils.py: utility functions