# lipEstimation

**Repository Path**: ppandaer/lipEstimation

## Basic Information

- **Project Name**: lipEstimation
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2024-10-11
- **Last Updated**: 2024-10-11

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Lipschitz Estimation

Repository for the paper [Lipschitz Regularity of deep neural networks:
analysis and efficient estimation](https://arxiv.org/abs/1805.10965)

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