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Authors
Raghav Kansal (0000-0003-2445-1060), Carlos Pareja (0000-0002-9022-2349), Zichun Hao (0000-0002-5624-4907), Javier Duarte (0000-0002-5076-7096)
Citation
Kansal et al., (2023). JetNet: A Python package for accessing open datasets and benchmarking machine learning methods in high energy physics. Journal of Open Source Software, 8(90), 5789, https://doi.org/10.21105/joss.05789
@article{Kansal2023,
doi = {10.21105/joss.05789},
url = {https://doi.org/10.21105/joss.05789},
year = {2023},
publisher = {The Open Journal},
volume = {8},
number = {90},
pages = {5789},
author = {Raghav Kansal and Carlos Pareja and Zichun Hao and Javier Duarte},
title = {JetNet: A Python package for accessing open datasets and benchmarking machine learning methods in high energy physics},
journal = {Journal of Open Source Software}
}
Tags
PyTorch high energy physics machine learning jets
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This work is licensed under a Creative Commons Attribution 4.0 International License.
