Raghav Kansal, Carlos Pareja, Zichun Hao, Javier Duarte
{"title":"JetNet: A Python package for accessing open datasets and benchmarking machine learning methods in high energy physics","authors":"Raghav Kansal, Carlos Pareja, Zichun Hao, Javier Duarte","doi":"10.21105/joss.05789","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":94101,"journal":{"name":"Journal of open source software","volume":"6 3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of open source software","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21105/joss.05789","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}