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| Name and Link | ML Technologies | Scientific Field | ML Tools | Comments |
|---|---|---|---|---|
| Btagging in CMS (templated version) | CNN, LSTM | High Energy Physics | Keras + Tensorflow | Realistic application |
| 2. LHCb Masterclass, with Keras | DE, MLP | High Energy Physics | ROOT + Keras + TF | Introductory tutorial |
| MNIST in a C header | MLP | Keras | Free-styling tutorial | |
| CNN, RNN, GNN | High Energy Physics | PyTorch | Package use examples | |
| INFERNO: Inference-Aware Neural Optimisation | NN | High Energy Physics | Keras + Tensorflow | Technique application example |
| An introduction to classification with CMS data | Fisher, BDT, MLP | High Energy Physics | Scikit-learn, TF2 | Tutorials for Master Students |
| autoencoder with gravitational data | Autoencoder | General Relativity | Python Keras | Tutorial for student |
| Distributed training of neural networks with Apache Spark | DNN | High Energy Physics | Spark + BigDL | Tutorial |
How to insert a new use case
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Follow the instructions provided in the How To: Create a KB entry
Once you finish with the creation of the page don't forget to edit
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the page "33161472" (this same page!) and add the use case in the "Table of Use cases".