JetNet library for machine learning in high energy physics

Machine learning is becoming ubiquitous in high energy physics for many tasks, including classification, regression, reconstruction, and simulations. To facilitate development in this area, and to make such research more accessible and reproducible, we present the open source Python JetNet library with easy to access and standardised interfaces for particle cloud datasets, implementations for HEP evaluation and loss metrics, and more useful tools for ML in HEP.