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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 |
| 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 |
How to insert a new use case
- Open the page _Template KB Entry
- On the top right of the page, click on the 3 dots "..."
- Select "Copy"
- Make sure you select "Space → ML-INFN" and "Parent Page → Machine Learning Knowledge Page" (they should be already selected)
- A page with Title "Copy of _Template KB Entry" should open in the browser. Rename it with a proper name and click "Publish" on the lower right.
- You should see the page in view mode. Click on "Edit" on the top right to implement the use case following the template. Remember to "Publish" it.
- Edit the page "Machine Learning Knowledge Base33161472" (this same page!) and add the use case in the "Table of Use cases".
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