This is the Framework for Easily Invertible Architectures (FrEIA).
Table of contents
Our following papers use FrEIA, with links to code given below.
"Generative Classifiers as a Basis for Trustworthy Image Classification" (CVPR 2021)
"Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (Neurips 2020)
"Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (ICLR 2020)
"Guided Image Generation with Conditional Invertible Neural Networks" (2019)
"Analyzing inverse problems with invertible neural networks." (ICLR 2019)
FrEIA has the following dependencies:
Package | Version |
Python | >= 3.7 |
Pytorch | >= 1.0.0 |
Numpy | >= 1.15.0 |
Scipy | >= 1.5 |
pip install FrEIA
For development:
# first clone the repository
git clone https://github.com/VLL-HD/FrEIA.git
cd FrEIA
# install the dependencies
pip install -r requirements.txt
# install in development mode, so that changes don't require a reinstall
python setup.py develop
The full manual can be found at https://vll-hd.github.io/FrEIA including
If you used this repository in your work, please cite it as below:
@software{freia, author = {Ardizzone, Lynton and Bungert, Till and Draxler, Felix and Köthe, Ullrich and Kruse, Jakob and Schmier, Robert and Sorrenson, Peter}, title = {{Framework for Easily Invertible Architectures (FrEIA)}}, year = {2018-2022}, url = {https://github.com/VLL-HD/FrEIA} }
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