tag:joss.theoj.org,2005:/papers/tagged/Python%20Toolbox?page=1Journal of Open Source Software2024-01-16T16:18:16ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/45432024-01-16T16:18:16Z2024-01-17T00:00:43ZSPICY: a Python toolbox for meshless assimilation from image velocimetry using radial basis functionsacceptedv1.0.02023-06-13 17:15:19 UTC932024-01-16 16:18:16 UTC920245749PietroSperottoThe von Karman Institute for Fluid Dynamics (VKI), Rhode St. Genese, 1640, Belgium0000-0001-9412-0828M.RatzThe von Karman Institute for Fluid Dynamics (VKI), Rhode St. Genese, 1640, Belgium0009-0008-8491-8367M.A.MendezThe von Karman Institute for Fluid Dynamics (VKI), Rhode St. Genese, 1640, Belgium0000-0002-1115-218710.21105/joss.05749https://doi.org/10.5281/zenodo.10473329JavaScript, Jupyter Notebookhttps://joss.theoj.org/papers/10.21105/joss.05749.pdfPython, Radial Basis Functions, Super resolution in Image Velocimetry, Data Assimilation in Image Velocimetry, Poisson Equationtag:joss.theoj.org,2005:Paper/44482023-10-27T15:27:51Z2023-10-28T00:00:39Zbayes-toolbox: A Python package for Bayesian statisticsacceptedv0.1.02023-04-22 21:43:52 UTC902023-10-27 15:27:51 UTC820235526HyosubE.KimSchool of Kinesiology, The University of British Columbia, Canada, Department of Physical Therapy, University of Delaware, United States0000-0003-0109-593X10.21105/joss.05526https://doi.org/10.5281/zenodo.7849408Pythonhttps://joss.theoj.org/papers/10.21105/joss.05526.pdfBayesian statistics, psychology, neurosciencetag:joss.theoj.org,2005:Paper/30852022-04-20T20:32:49Z2022-04-22T13:11:15ZThe AutoActive Research Environmentacceptedv1.1.12021-09-28 08:32:13 UTC722022-04-20 20:32:49 UTC720224061SigurdAlbrektsenSmart Sensor Systems, SINTEF Digital, Trondheim, NorwayKasperGade BøtkerRasmussenSmart Sensor Systems, SINTEF Digital, Trondheim, NorwayAndersE.LiverudSmart Sensor Systems, SINTEF Digital, Trondheim, NorwaySteffenDalgardSmart Sensor Systems, SINTEF Digital, Trondheim, NorwayJakobHøgenesSmart Sensor Systems, SINTEF Digital, Trondheim, NorwaySiljeEkrollJahrenSmart Sensor Systems, SINTEF Digital, Trondheim, NorwayJanKocbachCentre for Elite Sports Research, Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, NorwayTrineM.SeebergSmart Sensor Systems, SINTEF Digital, Trondheim, Norway, Centre for Elite Sports Research, Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway10.21105/joss.04061https://doi.org/10.5281/zenodo.6393705C#https://joss.theoj.org/papers/10.21105/joss.04061.pdfVisualising sensor data and videos, Synchronizing sensor data and videos, Organising data, Python toolbox, Matlab toolboxtag:joss.theoj.org,2005:Paper/30792021-11-19T12:14:03Z2021-11-20T00:01:42Zspectrapepper: A Python toolbox for advanced analysis of spectroscopic data for materials and devices.accepted0.1.02021-09-23 11:27:20 UTC672021-11-19 12:14:03 UTC620213781EnricGrau-LuqueCatalonia Institute for Energy Research (IREC), Jardins de les Dones de Negre 1, 08930 Sant Adrià de Besòs, Spain0000-0002-8357-5824FabienAtlanCatalonia Institute for Energy Research (IREC), Jardins de les Dones de Negre 1, 08930 Sant Adrià de Besòs, Spain0000-0001-7233-4892IgnacioBecerril-RomeroCatalonia Institute for Energy Research (IREC), Jardins de les Dones de Negre 1, 08930 Sant Adrià de Besòs, Spain0000-0002-7087-6097AlejandroPerez-RodriguezCatalonia Institute for Energy Research (IREC), Jardins de les Dones de Negre 1, 08930 Sant Adrià de Besòs, Spain, Departament d'Enginyeria Electrònica i Biomèdica, IN2UB, Universitat de Barcelona, C/ Martí i Franqués 1, 08028 Barcelona, Spain0000-0002-3634-1355MaximGucCatalonia Institute for Energy Research (IREC), Jardins de les Dones de Negre 1, 08930 Sant Adrià de Besòs, Spain0000-0002-2072-9566VictorIzquierdo-RocaCatalonia Institute for Energy Research (IREC), Jardins de les Dones de Negre 1, 08930 Sant Adrià de Besòs, Spain0000-0002-5502-313310.21105/joss.03781https://doi.org/10.5281/zenodo.5708435Pythonhttps://joss.theoj.org/papers/10.21105/joss.03781.pdfSpectroscopy, Energy materials, Combinatorial analysis, Machine learningtag:joss.theoj.org,2005:Paper/18362021-10-05T12:25:19Z2021-10-06T00:04:29ZThe o80 C++ templated toolbox: Designing customized Python APIs for synchronizing realtime processesaccepted1.02020-07-07 13:14:58 UTC662021-10-05 12:25:19 UTC620212752VincentBerenzMax Planck Institute for Intelligent Systems, Tübingen, GermanyMaximilienNaveauMax Planck Institute for Intelligent Systems, Tübingen, GermanyFelixWidmaierMax Planck Institute for Intelligent Systems, Tübingen, GermanyManuelWüthrichMax Planck Institute for Intelligent Systems, Tübingen, GermanyJean-ClaudePassyMax Planck Institute for Intelligent Systems, Tübingen, GermanySimonGuistMax Planck Institute for Intelligent Systems, Tübingen, GermanyDieterBüchlerMax Planck Institute for Intelligent Systems, Tübingen, Germany10.21105/joss.02752https://doi.org/10.5281/zenodo.5357876C++https://joss.theoj.org/papers/10.21105/joss.02752.pdfPython, processes, robotics, shared memorytag:joss.theoj.org,2005:Paper/27462021-08-27T16:51:11Z2021-08-28T00:02:07ZSync Toolbox: A Python Package for Efficient, Robust, and Accurate Music Synchronizationaccepted1.0.02021-06-10 08:02:00 UTC642021-08-27 16:51:11 UTC620213434MeinardMüllerInternational Audio Laboratories Erlangen0000-0001-6062-7524YigitcanÖzerInternational Audio Laboratories Erlangen0000-0003-2235-8655MichaelKrauseInternational Audio Laboratories Erlangen0000-0001-7194-0719ThomasPrätzlichInternational Audio Laboratories ErlangenJonathanDriedgerInternational Audio Laboratories Erlangen10.21105/joss.03434https://doi.org/10.5281/zenodo.5288713Python, Jupyter Notebookhttps://joss.theoj.org/papers/10.21105/joss.03434.pdfMusic information retrieval, Music synchronizationtag:joss.theoj.org,2005:Paper/24802021-07-18T07:10:15Z2021-07-19T00:00:14ZTraja: A Python toolbox for animal trajectory analysisacceptedv0.2.52021-03-10 09:10:45 UTC632021-07-18 07:10:15 UTC620213202JustinShenkVisioLab, Berlin, Germany, Radboud University, Nijmegen, Netherlands0000-0002-0664-7337WolfByttnerRapid Health, London, England, United Kingdom0000-0002-9525-9730SaranrajNambusubramaniyanVisioLab, Berlin, Germany0000-0002-7314-0261AlexanderZoellerIndependent researcher0000-0002-4043-342010.21105/joss.03202https://doi.org/10.5281/zenodo.5069231Jupyter Notebook, Pythonhttps://joss.theoj.org/papers/10.21105/joss.03202.pdfanimal behavior, trajectory, multivariate time series, neurosciencetag:joss.theoj.org,2005:Paper/17012021-02-07T08:16:41Z2021-02-17T23:18:00Zgym-electric-motor (GEM): A Python toolbox for the simulation of electric drive systemsacceptedv0.2.12020-05-29 12:35:51 UTC582021-02-07 08:16:41 UTC620212498PraneethBalakrishnaDepartment of Power Electronics and Electrical Drives, Paderborn University, GermanyGerritBookDepartment of Power Electronics and Electrical Drives, Paderborn University, GermanyWilhelmKirchgässnerDepartment of Power Electronics and Electrical Drives, Paderborn University, Germany0000-0001-9490-1843MaximilianSchenkeDepartment of Power Electronics and Electrical Drives, Paderborn University, Germany0000-0001-5427-9527ArneTraueDepartment of Power Electronics and Electrical Drives, Paderborn University, GermanyOliverWallscheidDepartment of Power Electronics and Electrical Drives, Paderborn University, Germany0000-0001-9362-877710.21105/joss.02498https://doi.org/10.5281/zenodo.4355691Pythonhttps://joss.theoj.org/papers/10.21105/joss.02498.pdfelectric drive control, electric motors, OpenAI Gym, power electronics, reinforcement learningtag:joss.theoj.org,2005:Paper/20552020-12-12T08:36:45Z2021-02-15T11:29:54ZPyQMRI: An accelerated Python based Quantitative MRI toolboxacceptedv0.3.12020-10-02 11:10:02 UTC562020-12-12 08:36:45 UTC520202727OliverMaierInstitute of Medical Engineering, Graz University of Technology, Graz, Austria0000-0002-7800-0022StefanM.SpannInstitute of Medical Engineering, Graz University of Technology, Graz, AustriaMarkusBödenlerInstitute of Medical Engineering, Graz University of Technology, Graz, Austria, Institute of eHealth, University of Applied Sciences FH JOANNEUM, Graz, Austria0000-0001-6018-7821RudolfStollbergerInstitute of Medical Engineering, Graz University of Technology, Graz, Austria, BioTechMed Graz, Austria0000-0002-4969-387810.21105/joss.02727https://doi.org/10.5281/zenodo.4313301Python, Chttps://joss.theoj.org/papers/10.21105/joss.02727.pdfMRI, PyOpenCL, quantitative imaging, parameter mappingtag:joss.theoj.org,2005:Paper/20172020-09-24T19:46:34Z2021-02-15T11:29:59ZPyCS3: A Python toolbox for time-delay measurements in lensed quasarsacceptedv3.0.22020-09-07 15:39:39 UTC532020-09-24 19:46:34 UTC520202654MartinMillonInstitute of Physics, Laboratory of Astrophysique, Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland0000-0001-7051-497XMalteTewesArgelander-Institut für Astronomie, Bonn, Germany0000-0002-1155-8689VivienBonvinInstitute of Physics, Laboratory of Astrophysique, Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland0000-0003-1471-3952BastianLengenInstitute of Physics, Laboratory of Astrophysique, Ecole Polytechnique Fédérale de Lausanne (EPFL), SwitzerlandFredericCourbinInstitute of Physics, Laboratory of Astrophysique, Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland0000-0003-0758-651010.21105/joss.02654https://doi.org/10.5281/zenodo.4046260Jupyter Notebook, Pythonhttps://joss.theoj.org/papers/10.21105/joss.02654.pdfastronomy