CITATION.cff

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
title: "pymodelvis / neural_flow: representation-flow visualization for PyTorch models"
abstract: >-
  neural_flow draws what a specific input becomes as it moves through a PyTorch network:
  actual activations per stage, stage-to-stage dependencies, receptive fields, head contributions
  and Grad-CAM evidence, for 2-D, 3-D medical-imaging, transformer and multi-input / multi-head
  models, as static figures, an interactive explorer and movies over changing inputs.
type: software
authors:
  - family-names: Landman
    given-names: Bennett
    affiliation: "Vanderbilt University (MASI Lab / VALIANT)"
    email: bennett.landman@vanderbilt.edu
repository-code: "https://github.com/MASILab/pymodelvis"
license: BSD-3-Clause
version: 0.3.0
date-released: 2026-09-30
keywords:
  - PyTorch
  - visualization
  - interpretability
  - medical imaging
  - deep learning