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Software . 2023
Data sources: ZENODO
ZENODO
Software . 2023
Data sources: Datacite
ZENODO
Software . 2023
Data sources: Datacite
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JetNet: A Python package for accessing open datasets and benchmarking machine learning methods in high energy physics

Authors: Kansal, Raghav; Pareja, Carlos; Hao, Zichun; Duarte, Javier;

JetNet: A Python package for accessing open datasets and benchmarking machine learning methods in high energy physics

Abstract

JetNet is a Python package that aims to increase accessibility and reproducibility for machine learning (ML) research in high energy physics (HEP), primarily related to particle jets. Based on the popular PyTorch ML framework, it provides easy-to-access and standardized interfaces for multiple heterogeneous HEP datasets and implementations of evaluation metrics, loss functions, and more general utilities relevant to HEP.

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average