diff --git a/README.md b/README.md
index e4bcc38..98afe4d 100644
--- a/README.md
+++ b/README.md
@@ -5,9 +5,9 @@
 [![Code style][style-image]][style-url]
 
 [python-image]: https://img.shields.io/badge/python-3.9%20|%203.10%20|%203.11-blue.svg
-[python-url]: https://github.com/BeGeiger/CorrNMF
+[python-url]: https://github.com/parklab/salamander
 [license-image]: https://img.shields.io/badge/License-MIT-yellow.svg
-[license-url]: https://github.com/BeGeiger/CorrNMF/blob/main/LICENSE
+[license-url]: https://github.com/parklab/salamander/blob/main/LICENSE
 [style-image]: https://img.shields.io/badge/code%20style-black-000000.svg
 [style-url]: https://github.com/psf/black
 
@@ -56,7 +56,7 @@ model.plot_correlation(data="samples")
 model.plot_embeddings(method="umap")
 ```
 
-For examples of how to customize any NMF algorithm and the plots, check out [the tutorial](). The following algorithms are currently available:
+For examples of how to customize any NMF algorithm and the plots, check out [the tutorial](https://github.com/parklab/salamander/blob/main/tutorial.ipynb). The following algorithms are currently available:
 * [NMF with KL-divergence loss](https://proceedings.neurips.cc/paper_files/paper/2000/file/f9d1152547c0bde01830b7e8bd60024c-Paper.pdf)
 * [minimum-volume NMF](https://browse.arxiv.org/pdf/1907.02404.pdf)
 * [a variant of correlated NMF](https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=87224164eef14589b137547a3fa81f06eef9bbf4)