Belle-II-Analysis

Belle-II-Analysis

matteoguida

Machine learning multiclassification task in particle physics experiment (Belle II) with deep neural networks (DNN) and gradient boosted decision trees (XGBoost).

3 Stars
4 Forks
3 Watchers
Jupyter Notebook Language
Cost to Build
$87.1K
Market Value
$54.7K

Growth over time

7 data points  ·  2021-08-01 → 2023-07-01
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What is the matteoguida/Belle-II-Analysis GitHub project? Description: "Machine learning multiclassification task in particle physics experiment (Belle II) with deep neural networks (DNN) and gradient boosted decision trees (XGBoost).". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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