tag:joss.theoj.org,2005:/papers?page=30Journal of Open Source Software2024-03-19T09:01:07ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/48212024-03-19T09:01:07Z2024-03-20T00:01:13ZGTFS Segments: A Fast and Efficient Library to Generate Bus Stop Spacingsacceptedv2.0.12023-09-28 22:06:14 UTC952024-03-19 09:01:07 UTC920246306SaipraneethDevunuriDepartment of Civil and Environmental Engineering, University of Illinois Urbana-Champaign0000-0002-5911-4681LewisLeheDepartment of Civil and Environmental Engineering, University of Illinois Urbana-Champaign0000-0001-8029-170610.21105/joss.06306https://doi.org/10.5281/zenodo.10681151Pythonhttps://joss.theoj.org/papers/10.21105/joss.06306.pdfGTFS, Public Transit, Stop Spacings, Bus Stopstag:joss.theoj.org,2005:Paper/48202023-09-28T19:19:57Z2024-03-27T18:19:00ZShOpt.jl: A Julia Package for Empirical Point Spread Function Characterization of JWST NIRCam Dataunder_reviewv2.0.12023-09-28 19:19:57 UTCtag:joss.theoj.org,2005:Paper/48192024-03-22T13:55:40Z2024-03-23T00:01:17Zcheckpoint_schedules: schedules for incremental checkpointing of adjoint simulationsacceptedv1.0.02023-09-28 08:06:01 UTC952024-03-22 13:55:40 UTC920246148DaianeI.DolciDepartment of Mathematics, Imperial College London, London, United Kingdom.0000-0002-1435-9538JamesR.MaddisonSchool of Mathematics and Maxwell Institute for Mathematical Sciences, The University of Edinburgh, United Kingdom.0000-0001-5742-4363DavidA.HamDepartment of Mathematics, Imperial College London, London, United Kingdom.0000-0001-9545-9110GuillaumePallezInria, University of Rennes, Rennes, France.0000-0001-8862-3277JulienHerrmannCNRS, IRIT, Université de Toulouse, Toulouse, France.0000-0003-4935-236810.21105/joss.06148https://doi.org/10.5281/zenodo.10817312Pythonhttps://joss.theoj.org/papers/10.21105/joss.06148.pdfCheckpointing methods, Adjoint-based gradienttag:joss.theoj.org,2005:Paper/48172023-09-26T15:37:28Z2024-03-12T05:02:23ZSOUPy: Stochastic PDE-constrained optimization under high-dimensional uncertainty in Pythonunder_reviewDevelopment2023-09-26 15:37:28 UTCtag:joss.theoj.org,2005:Paper/48162023-09-24T10:22:53Z2024-03-25T16:14:00ZLearning from Crowds with Crowd-Kitunder_reviewv1.2.12023-09-24 10:22:53 UTCtag:joss.theoj.org,2005:Paper/48132024-02-27T21:24:38Z2024-03-22T14:09:24ZDeepRank2: Mining 3D Protein Structures with Geometric Deep Learningacceptedv2.1.02023-09-22 15:36:51 UTC942024-02-27 21:24:38 UTC920245983GiuliaCrocioniNetherlands eScience Center, Amsterdam, The Netherlands0000-0002-0823-0121DaniL.BodorNetherlands eScience Center, Amsterdam, The Netherlands0000-0003-2109-2349CoosBaakmanThe Department of Medical BioSciences, Radboud University Medical Center, Nijmegen, The Netherlands0000-0003-4317-1566FarzanehM.PariziThe Department of Medical BioSciences, Radboud University Medical Center, Nijmegen, The Netherlands0000-0003-4230-7492Daniel-T.RademakerThe Department of Medical BioSciences, Radboud University Medical Center, Nijmegen, The Netherlands0000-0003-1959-1317GayatriRamakrishnanThe Department of Medical BioSciences, Radboud University Medical Center, Nijmegen, The Netherlands0000-0001-8203-2783SvenA.van der BurgNetherlands eScience Center, Amsterdam, The Netherlands0000-0003-1250-6968DarioF.MarzellaThe Department of Medical BioSciences, Radboud University Medical Center, Nijmegen, The Netherlands0000-0002-0043-3055JoãoM.c.TeixeiraIndependent Researcher0000-0002-9113-0622LiC.XueThe Department of Medical BioSciences, Radboud University Medical Center, Nijmegen, The Netherlands0000-0002-2613-538X10.21105/joss.05983https://doi.org/10.5281/zenodo.10566809Python, Jupyter Notebookhttps://joss.theoj.org/papers/10.21105/joss.05983.pdfPyTorch, structural biology, geometric deep learning, 3D protein structures, protein-protein interfaces, single-residue variants, graph neural networks, convolutional neural networks, DeepRanktag:joss.theoj.org,2005:Paper/48122023-09-22T15:35:42Z2024-01-29T16:09:54Zcppdlr: Imaginary time calculations using the discrete Lehmann representationunder_reviewv1.0.02023-09-22 15:35:42 UTCtag:joss.theoj.org,2005:Paper/47772023-09-22T09:10:54Z2024-03-24T12:43:03Zcblearn: Comparison-based Machine Learning in Pythonunder_reviewv0.1.22023-09-22 09:10:54 UTCtag:joss.theoj.org,2005:Paper/47752024-02-23T15:40:17Z2024-02-24T00:03:16Zstemflow: A Python Package for Adaptive Spatio-Temporal Exploratory Modelacceptedv1.0.02023-09-21 07:39:41 UTC942024-02-23 15:40:17 UTC920246158YangkangChenKey Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China, University of Chinese Academy of Sciences, Beijing, ChinaZhongruGuKey Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China, Cardiff University-Institute of Zoology Joint Laboratory for Biocomplexity Research, Chinese Academy of Sciences, Beijing, ChinaXiangjiangZhanKey Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China, University of Chinese Academy of Sciences, Beijing, China, Cardiff University-Institute of Zoology Joint Laboratory for Biocomplexity Research, Chinese Academy of Sciences, Beijing, China, Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China10.21105/joss.06158https://doi.org/10.6084/m9.figshare.24669132Pythonhttps://joss.theoj.org/papers/10.21105/joss.06158.pdfecology, spatio-temporal big data, citizen science, modeling, seasonal migrationtag:joss.theoj.org,2005:Paper/47732023-09-21T03:50:22Z2024-03-25T07:14:03ZFoam: A Python package for forward asteroseismic modelling of gravity modesunder_review1.0.02023-09-21 03:50:22 UTC