tag:joss.theoj.org,2005:/papers/edited_by/@drvinceknight?page=2Journal of Open Source Software2021-09-29T13:28:41ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/26612021-09-29T13:28:41Z2021-09-30T00:03:06ZJMcDM: A Julia package for multiple-criteria decision-making toolsacceptedv0.1.82021-05-08 12:45:55 UTC652021-09-29 13:28:41 UTC620213430MehmetHakanSatmanDepartment of Econometrics, Istanbul University, Istanbul, Turkey0000-0002-9402-1982BahadırFatihYıldırımDepartment of Transportation and Logistics, Istanbul University, Istanbul, Turkey0000-0002-0475-741XErsagunKurucaIndependent researcher0000-0002-2552-770110.21105/joss.03430https://doi.org/10.5281/zenodo.5534663Juliahttps://joss.theoj.org/papers/10.21105/joss.03430.pdfdecision making, multiple criteria, outrankingtag:joss.theoj.org,2005:Paper/26682021-08-25T13:35:33Z2021-08-26T00:00:46ZPyEI: A Python package for ecological inferenceacceptedv0.1.02021-05-10 22:23:42 UTC642021-08-25 13:35:33 UTC620213397KarinC.KnudsonData Intensive Studies Center, Tufts University0000-0003-1312-6473GabeSchoenbachMGGG Redistricting Lab, Tufts University0000-0002-4300-0356AmariahBeckerMGGG Redistricting Lab, Tufts University0000-0002-7392-830710.21105/joss.03397https://doi.org/10.5281/zenodo.5245632Python, Jupyter Notebookhttps://joss.theoj.org/papers/10.21105/joss.03397.pdfvoting rights, ecological inference, Bayesian inferencetag:joss.theoj.org,2005:Paper/27522021-08-23T19:50:46Z2021-08-24T00:01:08ZAbmarl: Connecting Agent-Based Simulations with Multi-Agent Reinforcement Learningaccepted0.1.22021-06-10 23:06:33 UTC642021-08-23 19:50:46 UTC620213424EdwardRusuLawrence Livermore National Laboratory0000-0003-1033-439XRubenGlattLawrence Livermore National Laboratory10.21105/joss.03424https://doi.org/10.5281/zenodo.5196791Pythonhttps://joss.theoj.org/papers/10.21105/joss.03424.pdfagent-based simulation, multi-agent reinforcement learning, machine learning, agent-based modelingtag:joss.theoj.org,2005:Paper/21512021-04-20T17:37:58Z2021-04-21T00:01:12ZUQit: A Python package for uncertainty quantification (UQ) in computational fluid dynamics (CFD)acceptedv1.0.22020-11-09 21:35:13 UTC602021-04-20 17:37:58 UTC620212871SalehRezaeiraveshSimEx/FLOW, Engineering Mechanics, KTH Royal Institute of Technology,, Swedish e-Science Research Centre (SeRC), Stockholm, Sweden0000-0002-9610-9910RicardoVinuesaSimEx/FLOW, Engineering Mechanics, KTH Royal Institute of Technology,, Swedish e-Science Research Centre (SeRC), Stockholm, SwedenPhilippSchlatterSimEx/FLOW, Engineering Mechanics, KTH Royal Institute of Technology,, Swedish e-Science Research Centre (SeRC), Stockholm, Sweden10.21105/joss.02871https://doi.org/10.5281/zenodo.4704355Python, Jupyter Notebookhttps://joss.theoj.org/papers/10.21105/joss.02871.pdfuncertainty quantification (UQ), computational fluid dynamics (CFD)tag:joss.theoj.org,2005:Paper/15212020-07-10T19:30:53Z2021-02-15T11:30:58ZBiRank: Fast and Flexible Ranking on Bipartite Networks with R and Pythonacceptedv0.1.12020-02-18 22:08:18 UTC512020-07-10 19:30:53 UTC520202315Kai-ChengYangLuddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, INBrianAronsonDepartment of Sociology, Indiana University, Bloomington, INYong-YeolAhnLuddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN10.21105/joss.02315https://doi.org/10.5281/zenodo.3939045R, Pythonhttps://joss.theoj.org/papers/10.21105/joss.02315.pdfbipartite network, PageRank, ranking, centralitytag:joss.theoj.org,2005:Paper/13152020-02-19T20:49:33Z2021-02-15T11:31:25ZNeuroDiffEq: A Python package for solving differential equations with neural networksaccepted1.0.02019-11-01 13:35:55 UTC462020-02-19 20:49:33 UTC520201931FeiyuChenInstitute for Applied Computational Science, Harvard University, Cambridge, MA, United States0000-0002-0476-9998DavidSondakInstitute for Applied Computational Science, Harvard University, Cambridge, MA, United StatesPavlosProtopapasInstitute for Applied Computational Science, Harvard University, Cambridge, MA, United StatesMariosMattheakisInstitute for Applied Computational Science, Harvard University, Cambridge, MA, United StatesShuhengLiuChongqing University, Chongqing, ChinaDevanshAgarwalDepartment of Physics and Astronomy, Virginia University, Morgantown, WV, United States, Center for Gravitational Waves and Cosmology, West Virginia University, Morgantown, WV, United StatesMarcoDi GiovanniPolitecnico di Milano, Milano, Italy10.21105/joss.01931https://doi.org/10.5281/zenodo.3676028Jupyter Notebook, Pythonhttps://joss.theoj.org/papers/10.21105/joss.01931.pdfdifferential equations, neural networkstag:joss.theoj.org,2005:Paper/12872020-02-17T12:56:27Z2021-02-15T11:31:31ZMDL Suite: A language, generator and compiler for describing mazesaccepted1.02019-10-11 12:37:43 UTC462020-02-17 12:56:27 UTC520201815AkashNagDept. of Computer Science, M.U.C. Women's College0000-0003-0363-269810.21105/joss.01815https://doi.org/10.5281/zenodo.3666101Javahttps://joss.theoj.org/papers/10.21105/joss.01815.pdfmaze, markup language, maze generator, compiler, maze description languagetag:joss.theoj.org,2005:Paper/14302020-02-10T18:47:07Z2021-02-15T11:31:10Zthresholdmodeling: A Python package for modeling excesses over a threshold using the Peak-Over-Threshold Method and the Generalized Pareto Distributionacceptedv0.0.12020-01-06 19:12:37 UTC462020-02-10 18:47:07 UTC520202013IagoPereiraLemosAcoustics and Vibration Laboratory, School of Mechanical Engineering, Federal University of Uberlândia0000-0002-5829-7711AntônioMarcos GonçalvesLimaAssociate Professor, School of Mechanical Engineering, Federal University of Uberlândia0000-0003-0170-6083MarcusAntônio VianaDuarteAssociate Professor, Acoustics and Vibration Laboratory, School of Mechanical Engineering, Federal University of Uberlândia0000-0002-8166-566610.21105/joss.02013https://doi.org/10.5281/zenodo.3661338Pythonhttps://joss.theoj.org/papers/10.21105/joss.02013.pdfThreshold Models, Peak-Over-Threshold Method, Generalized Pareto Distribution, Estatistical Modelingtag:joss.theoj.org,2005:Paper/13802020-01-07T16:07:37Z2021-02-15T11:31:19ZWulffPack: A Python package for Wulff constructionsaccepted1.02019-11-28 16:10:56 UTC452020-01-07 16:07:37 UTC520201944J.MagnusRahmDepartment of Physics, Chalmers University of Technology, Gothenburg, Sweden0000-0002-6777-0371PaulErhartDepartment of Physics, Chalmers University of Technology, Gothenburg, Sweden0000-0002-2516-606110.21105/joss.01944https://doi.org/10.5281/zenodo.3600252Pythonhttps://joss.theoj.org/papers/10.21105/joss.01944.pdfWulff construction, nanoparticles, decahedron, icosahedron, Winterbottomtag:joss.theoj.org,2005:Paper/12702019-12-02T14:31:20Z2021-02-15T11:31:33ZComplexRegions.jl: A Julia package for regions in the complex planeacceptedv0.1.02019-10-02 18:52:21 UTC442019-12-02 14:31:20 UTC420191811TobinA.DriscollUniversity of Delaware0000-0002-1490-254510.21105/joss.01811https://doi.org/10.5281/zenodo.3548866Juliahttps://joss.theoj.org/papers/10.21105/joss.01811.pdfcomplex variables, conformal mapping