Updated README.md

README.md

@@ -1,5 +1,5 @@
 [![arXiv](https://img.shields.io/badge/arXiv-2212.06370-b31b1b.svg)](https://arxiv.org/abs/2212.06370)
-[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/weiji14/deepbedmap/)
+[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/NISL-MSU/PredictionIntervals/blob/master/DualAQD_PredictionIntervals.ipynb)
 
 # DualAQD: Dual Accuracy-quality-driven Prediction Intervals
 
@@ -21,9 +21,10 @@ The following libraries have to be installed:
 * [Git](https://git-scm.com/download/) 
 * [Pytorch](https://pytorch.org/)
 
-To install the package, run `!pip install -q git+https://github.com/NISL-MSU/PredictionIntervals` in the terminal (this option will be available after the paper acceptance). 
+To install the package, run `!pip install -q git+https://github.com/NISL-MSU/PredictionIntervals` in the terminal. 
 This will also install additional packages such as pymoo, sklearn, and tensorboard.
 
+You can also try the package on [Google Colab](https://colab.research.google.com/github/NISL-MSU/PredictionIntervals/blob/master/DualAQD_PredictionIntervals.ipynb).
 
 ## Usage