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A project with applications of the LHC Signal Monitoring project.

Training code for HTT studies with DIPS

Package for training and running binary classifiers, using machine learning APIs and libraries for Python, such as scikit-learn and Keras.

Tools for training and study of mass de-correlated Xbb tagger using deep neural network

Sparklines summarising the hdw-sim values of the L1Topo simulation

The aim of this project is to provide monitoring capabilities for the LHC signals.

Decoding CBC/CIC stub data from Simone Scarfi's verification framework