Uniformly Scaling Flows for Anomaly Detection

This repository contains experiments investigating uniformly scaling normalizing flows for anomaly detection. We use the USFlows implementation of uniformly scaling flows.

Installation

1. Clone the repository
2. Clone the VeriFlow repository

git clone [email protected]:aai-institute/USFlows.git

3. Create NF4AD poetry environment.

  cd path/to/nf4ad/project/directory
  poetry install

4. Install the USFlows library

poetry run pip install -e path/to/usflows/project/directory

Run experiments

The experiments for uniformly scaling normalizing flows can be run with the following command from within the nf4ad project directory:

poetry run python scripts/run-experiment.py --config experiments/<experiment>/<expconfig>.yaml

where <experiment> is the name of the experiment and <expconfig> is the name of the configuration file for the experiment. The configuration files are located in the experiments directory.