From 785ca28e87324e7aa3da7292b064231ef7cbfbdd Mon Sep 17 00:00:00 2001 From: Jan Blunk Date: Thu, 31 Aug 2023 10:38:29 +0200 Subject: [PATCH] reference to licensing and support --- README.md | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 45de2f5..d0042ac 100644 --- a/README.md +++ b/README.md @@ -4,6 +4,7 @@ * [Installation](#installation) * [Usage in Python](#usage-in-python) * [Repository organization](#repository) +* [License and support](#license-support) ## Overview @@ -44,7 +45,6 @@ Since our method relies on loss regularization, it is very simple to add to your You can find the implementation of the feature steering part of the loss in `feat_steering_loss(...)` of [regression_network.py](regression_network.py), which is where all the magic of our method takes place. - ## Repository * Installation: @@ -64,3 +64,7 @@ You can find the implementation of the feature steering part of the loss in `fea With [`mixed_cmi_estimator.py`](mixed_cmi_estimator.py) this repository includes a Python implementation of the hybrid CMI estimator CMIh presented by [Zan et al.](https://doi.org/10.3390/e24091234) The authors' original R implementation can be found [here](https://github.com/leizan/CMIh2022). + +## License and Support +This repository is released under *CC BY 4.0* license, which allows both academic and commercial use. If you need any support, please open an issue or contact [Jan Blunk](https://inf-cv.uni-jena.de/home/group/blunk/). +