Colab link update

README.md

@@ -105,15 +105,15 @@ For an introduction and motivation for LUMIN, checkout this talk from IML-2019 a
 
 Several examples are present in the form of Jupyter Notebooks in the `examples` folder. These can be run also on Google Colab to allow you to quickly try out the package.
 
-1. [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/GilesStrong/lumin/blob/v0.5.0/examples/Classification_of_earnings.ipynb) `examples/Classification_of_earnings.ipynb`: Very basic binary-classification example
-1. [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/GilesStrong/lumin/blob/v0.5.0/examples/Binary_Classification.ipynb) `examples/Binary_Classification.ipynb`: Binary-classification example in a high-energy physics context
-1. [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/GilesStrong/lumin/blob/v0.5.0/examples/Multiclass_Classification.ipynb) `examples/Multiclass_Classification.ipynb`: Multiclass-classification example in a high-energy physics context
-1. [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/GilesStrong/lumin/blob/v0.5.0/examples/Single_Target_Regression.ipynb) `examples/Single_Target_Regression.ipynb`: Single-target regression example in a high-energy physics context
-1. [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/GilesStrong/lumin/blob/v0.5.0/examples/Multi_Target_Regression.ipynb) `examples/Multi_Target_Regression.ipynb`: Multi-target regression example in a high-energy physics context
-1. [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/GilesStrong/lumin/blob/v0.5.0/examples/Feature_Selection.ipynb) `examples/Feature_Selection.ipynb`: In-depth walkthrough for automated feature-selection
-1. [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/GilesStrong/lumin/blob/v0.5.0/examples/Advanced_Model_Building.ipynb) `examples/Advanced_Model_Building.ipynb`: In-depth look at building more complicated models and a few advanced interpretation techniques
-1. [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/GilesStrong/lumin/blob/v0.5.0/examples/Model_Exporting.ipynb) `examples/Model_Exporting.ipynb`: Walkthough for exporting a trained model to ONNX and TensorFlow
-1. [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/GilesStrong/lumin/blob/v0.5.0/examples/RNNs_CNNs_and_GNNs_for_matrix_data.ipynb) `examples/RNNs_CNNs_and_GNNs_for_matrix_data.ipynb.ipynb`: Various examples of applying RNNs, CNNs, and GNNs to matrix data (top-tagging on jet constituents)
+1. [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/GilesStrong/lumin/blob/v0.5.1/examples/Classification_of_earnings.ipynb) `examples/Classification_of_earnings.ipynb`: Very basic binary-classification example
+1. [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/GilesStrong/lumin/blob/v0.5.1/examples/Binary_Classification.ipynb) `examples/Binary_Classification.ipynb`: Binary-classification example in a high-energy physics context
+1. [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/GilesStrong/lumin/blob/v0.5.1/examples/Multiclass_Classification.ipynb) `examples/Multiclass_Classification.ipynb`: Multiclass-classification example in a high-energy physics context
+1. [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/GilesStrong/lumin/blob/v0.5.1/examples/Single_Target_Regression.ipynb) `examples/Single_Target_Regression.ipynb`: Single-target regression example in a high-energy physics context
+1. [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/GilesStrong/lumin/blob/v0.5.1/examples/Multi_Target_Regression.ipynb) `examples/Multi_Target_Regression.ipynb`: Multi-target regression example in a high-energy physics context
+1. [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/GilesStrong/lumin/blob/v0.5.1/examples/Feature_Selection.ipynb) `examples/Feature_Selection.ipynb`: In-depth walkthrough for automated feature-selection
+1. [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/GilesStrong/lumin/blob/v0.5.1/examples/Advanced_Model_Building.ipynb) `examples/Advanced_Model_Building.ipynb`: In-depth look at building more complicated models and a few advanced interpretation techniques
+1. [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/GilesStrong/lumin/blob/v0.5.1/examples/Model_Exporting.ipynb) `examples/Model_Exporting.ipynb`: Walkthough for exporting a trained model to ONNX and TensorFlow
+1. [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/GilesStrong/lumin/blob/v0.5.1/examples/RNNs_CNNs_and_GNNs_for_matrix_data.ipynb) `examples/RNNs_CNNs_and_GNNs_for_matrix_data.ipynb.ipynb`: Various examples of applying RNNs, CNNs, and GNNs to matrix data (top-tagging on jet constituents)
 
 ## Installation