tag:joss.theoj.org,2005:/papers/reviewed_by/@levimcclennyJournal of Open Source Software2021-06-22T10:48:08ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/25462021-06-22T10:48:08Z2021-06-23T00:02:53Ztfaip - a Generic and Powerful Research Framework for Deep Learning based on Tensorflowacceptedv1.1.02021-03-31 13:43:10 UTC622021-06-22 10:48:08 UTC620213297ChristophWickPlanet AI GmbH, Warnowufer 60, 18059 Rostock, Germany0000-0003-3958-6240BenjaminKühnPlanet AI GmbH, Warnowufer 60, 18059 Rostock, GermanyGundramLeifertPlanet AI GmbH, Warnowufer 60, 18059 Rostock, GermanyKonradSperfeldInstitute of Mathematics, University of Rostock, 18051 Rostock, GermanyTobiasStraußPlanet AI GmbH, Warnowufer 60, 18059 Rostock, GermanyJochenZöllnerPlanet AI GmbH, Warnowufer 60, 18059 Rostock, Germany, Institute of Mathematics, University of Rostock, 18051 Rostock, Germany0000-0002-3889-6629TobiasGrüningPlanet AI GmbH, Warnowufer 60, 18059 Rostock, Germany0000-0003-0031-494210.21105/joss.03297https://doi.org/10.5281/zenodo.5011366Pythonhttps://joss.theoj.org/papers/10.21105/joss.03297.pdfDeep Learning, Tensorflow, Keras, Research, High-Level Framework, Generic