From cb0ebe29b535e13296b303fe800e88c10e8043eb Mon Sep 17 00:00:00 2001 From: GilesStrong Date: Mon, 10 Feb 2020 11:15:31 +0000 Subject: [PATCH] Update colab links --- README.md | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/README.md b/README.md index 94be3d3..2303158 100644 --- a/README.md +++ b/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/v0.4.0.1/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/v0.4.0.1/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/v0.4.0.1/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/v0.4.0.1/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/v0.4.0.1/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/v0.4.0.1/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/v0.4.0.1/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/v0.4.0.1/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/v0.4.0.1/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) +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) ## Installation