From 6ed51c72615a5ff9fa8804afeb7a3e212d03fc02 Mon Sep 17 00:00:00 2001 From: gerkone Date: Tue, 9 Jan 2024 21:56:41 +0100 Subject: [PATCH] remove broken notebooks links --- notebooks/datasets.ipynb | 2 +- notebooks/gns_data.ipynb | 2 +- notebooks/tutorial.ipynb | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/notebooks/datasets.ipynb b/notebooks/datasets.ipynb index 7a9296d..1c66ad7 100644 --- a/notebooks/datasets.ipynb +++ b/notebooks/datasets.ipynb @@ -4,7 +4,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# LagrangeBench Datasets [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/tumaer/lagrangebench/blob/main/notebooks/datasets.ipynb)\n", + "# LagrangeBench Datasets\n", "\n", "This is an overview of the introduced datasets. We show:\n", "\n", diff --git a/notebooks/gns_data.ipynb b/notebooks/gns_data.ipynb index e48e02e..880a1cf 100644 --- a/notebooks/gns_data.ipynb +++ b/notebooks/gns_data.ipynb @@ -4,7 +4,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Working with other datasets [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/tumaer/lagrangebench/blob/main/notebooks/gns_data.ipynb)\n", + "# Working with other datasets\n", "\n", "We demonstrate how to train a GNN on one of the datasets provided by DeepMind along with the paper [1]. We divide this notebook into three parts:\n", "\n", diff --git a/notebooks/tutorial.ipynb b/notebooks/tutorial.ipynb index f2e5c36..aca7dca 100644 --- a/notebooks/tutorial.ipynb +++ b/notebooks/tutorial.ipynb @@ -5,7 +5,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Training GNS on the 2D Taylor Green Vortex [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/tumaer/lagrangebench/blob/main/notebooks/tutorial.ipynb)\n", + "# Training GNS on the 2D Taylor Green Vortex\n", "This tutorial notebook will show how to train a GNS model on the 2D Taylor Green Vortex. It will give a brief overview of LagrangeBench on these topics:\n", "- Datasets and case setup\n", "- Models\n",