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CMS Machine Learning Data Analysis School (DAS) Short Exercise
Setup
Vanderbilt JupyterHub
LPC
Setup Libraries
Tutorials
1. Loading Datasets
2. Boosted decision trees with xgboost
3. Dense networks
3.1. Dense neural network with Keras
3.2. Dense neural network with PyTorch
3.3. Training a Jet Tagging with
DNN
3.8. Optimize a dense network with Bayesian optimization
4. Convolutional Neural Networks for Jet-Images
5. Graph Neural Network (GNN) with PyTorch Geometric
6. Variational Autoencoders with Keras and MNIST
8. Generative Adversarial Networks with Keras and MNIST
9. Jet Tagging with Permutation Invariance
Repository
Open issue
Index