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CMS Machine Learning Hands-on Advanced Tutorial Session (HATS)
Setup
Purdue Analysis Facility
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. 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
Repository
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