tag:joss.theoj.org,2005:/papers/in/PythonJournal of Open Source Software2024-03-18T12:36:12ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/48242024-03-18T12:36:12Z2024-03-19T00:01:19ZShapelets: A Python package implementing shapelet functions and their applicationsacceptedv0.12023-09-30 00:32:46 UTC952024-03-18 12:36:12 UTC920246058MatthewPeresTinoDepartment of Chemical Engineering, University of Waterloo, Ontario, Canada0009-0005-6832-1761AbbasYusufAbdulazizDepartment of Chemical Engineering, University of Waterloo, Ontario, CanadaRobertSudermanGoogle Inc.ThomasAkdenizEast Coast Asset Management SEZCNasserMohieddinAbukhdeirDepartment of Chemical Engineering, University of Waterloo, Ontario, Canada, Department of Physics and Astronomy, University of Waterloo, Ontario, Canada, Waterloo Institute for Nanotechnology, University of Waterloo, Ontario, Canada0000-0002-1772-037610.21105/joss.06058https://doi.org/10.5281/zenodo.10819578Pythonhttps://joss.theoj.org/papers/10.21105/joss.06058.pdfshapelets, self-assembly, astronomy, image processing, machine learningtag:joss.theoj.org,2005:Paper/50042024-03-17T15:00:35Z2024-03-18T07:46:38ZSelfEEG: A Python library for Self-Supervised Learning in Electroencephalographyacceptedv0.1.02023-12-16 00:30:46 UTC952024-03-17 15:00:35 UTC920246224FedericoDel PupDepartment of Information Engineering, University of Padova, Padova, Italy, Department of Neuroscience, University of Padova, Padova, Italy, Padova Neuroscience Center, University of Padova, Padova, Italy0009-0004-0698-962XAndreaZanolaPadova Neuroscience Center, University of Padova, Padova, Italy0000-0001-6973-8634Louis FabriceTshimangaDepartment of Neuroscience, University of Padova, Padova, Italy, Padova Neuroscience Center, University of Padova, Padova, Italy0009-0002-1240-4830Paolo EmilioMazzonPadova Neuroscience Center, University of Padova, Padova, ItalyManfredoAtzoriDepartment of Neuroscience, University of Padova, Padova, Italy, Padova Neuroscience Center, University of Padova, Padova, Italy, Information Systems Institute, University of Applied Sciences Western Switzerland (HES-SO Valais), Sierre, Switzerland0000-0001-5397-206310.21105/joss.06224https://doi.org/10.5281/zenodo.10813095Jupyter Notebook, Pythonhttps://joss.theoj.org/papers/10.21105/joss.06224.pdfPyTorch, Deep Learning (DL), Self-Supervised Learning (SSL), Contrastive Learning (CL), Electroencephalography (EEG), Biomedical signalstag:joss.theoj.org,2005:Paper/44492024-03-14T19:57:22Z2024-03-15T00:01:22ZOmniTrax: A deep learning-driven multi-animal tracking and pose-estimation add-on for Blenderacceptedv0.2.22023-04-23 08:59:26 UTC952024-03-14 19:57:22 UTC920245549FabianPlumImperial College London, Department of Bioengineering, United Kingdom0000-0003-1012-664610.21105/joss.05549https://doi.org/10.5281/zenodo.10817891Python, Jupyter Notebookhttps://joss.theoj.org/papers/10.21105/joss.05549.pdfBlender, multi-object tracking, pose-estimation, deep learningtag:joss.theoj.org,2005:Paper/50542024-03-13T19:36:59Z2024-03-14T09:10:13ZPyProximal - scalable convex optimization in Pythonacceptedv0.7.02023-12-31 11:55:29 UTC952024-03-13 19:36:59 UTC920246326MatteoRavasiEarth Science and Engineering, Physical Sciences and Engineering (PSE), King Abdullah University of Science and Technology (KAUST), Thuwal, Kingdom of Saudi Arabia0000-0003-0020-2721MarcusValtonenÖrnhagEricsson Research, Lund, Sweden.0000-0001-8687-227XNickLuikenEarth Science and Engineering, Physical Sciences and Engineering (PSE), King Abdullah University of Science and Technology (KAUST), Thuwal, Kingdom of Saudi Arabia0000-0003-3307-1748OlivierLeblancISPGroup, INMA/ICTEAM, UCLouvain, Louvain-la-Neuve, Belgium.0000-0003-3641-1875EnekoUruñuelaBasque Center on Cognition, Brain and Language (BCBL), Donostia-San Sebastián, Spain.0000-0001-6849-908810.21105/joss.06326https://doi.org/10.5281/zenodo.10805997Pythonhttps://joss.theoj.org/papers/10.21105/joss.06326.pdfconvex optimization, proximaltag:joss.theoj.org,2005:Paper/49852024-03-11T14:36:16Z2024-03-12T00:00:34ZNOMAD CAMELS: Configurable Application for Measurements, Experiments and Laboratory Systemsacceptedv0.2.32023-12-08 15:04:55 UTC952024-03-11 14:36:16 UTC920246371AlexanderD.FuchsLehrstuhl für Angewandte Physik, Department Physik, Friedrich-Alexander Universität Erlangen-Nürnberg, Germany., Physics Department and CSMB, Humboldt-Universität zu Berlin, Berlin, Germany.0000-0003-1896-9242JohannesA. f.LehmeyerLehrstuhl für Angewandte Physik, Department Physik, Friedrich-Alexander Universität Erlangen-Nürnberg, Germany., Physics Department and CSMB, Humboldt-Universität zu Berlin, Berlin, Germany.0000-0003-2041-9987HeinzJunkesFritz-Haber-Institut, Berlin, Germany.0000-0002-0218-4873HeikoB.WeberLehrstuhl für Angewandte Physik, Department Physik, Friedrich-Alexander Universität Erlangen-Nürnberg, Germany.0000-0002-6403-9022MichaelKriegerLehrstuhl für Angewandte Physik, Department Physik, Friedrich-Alexander Universität Erlangen-Nürnberg, Germany.0000-0003-1480-916110.21105/joss.06371https://doi.org/10.5281/zenodo.10793952Pythonhttps://joss.theoj.org/papers/10.21105/joss.06371.pdftag:joss.theoj.org,2005:Paper/50672024-03-10T12:27:59Z2024-03-12T10:21:48ZProject RACCOON: Automated construction of PDB files for polymers and polymer peptide conjugatesacceptedv1.0.12024-01-10 16:52:37 UTC952024-03-10 12:27:59 UTC920246293MoritzL.ObenauerDepartment of Chemistry, Johannes Gutenberg-University Mainz, Duesbergweg 10-14, D-55128 Mainz, Germany0009-0003-8140-9907KaiN.SpauszusDepartment of Chemistry, Johannes Gutenberg-University Mainz, Duesbergweg 10-14, D-55128 Mainz, Germany0009-0006-0650-2273PolBeseniusDepartment of Chemistry, Johannes Gutenberg-University Mainz, Duesbergweg 10-14, D-55128 Mainz, Germany0000-0001-7478-4459FriederikeSchmidInstitute of Physics, Johannes Gutenberg University, Staudingerweg 9, 55128 Mainz, Germany0000-0002-5536-671810.21105/joss.06293https://doi.org/10.5281/zenodo.10776652Jupyter Notebook, Python, Bikeshedhttps://joss.theoj.org/papers/10.21105/joss.06293.pdfcheminformatics, molecular-dynamics-simulatiom, pdb-files, molecular-modelingtag:joss.theoj.org,2005:Paper/48522024-03-09T21:38:19Z2024-03-11T01:37:29ZHyperNetX: A Python package for modeling complex network data as hypergraphsacceptedv2.0.52023-10-16 19:38:03 UTC952024-03-09 21:38:19 UTC920246016BrendaPraggastisPacific Northwest National Laboratory, USA0000-0003-1344-0497SinanAksoyPacific Northwest National Laboratory, USA0000-0002-3466-3334DustinArendtPacific Northwest National Laboratory, USA0000-0003-2466-199XMarkBonicilloPacific Northwest National Laboratory, USA0009-0003-9764-2180CliffJoslynPacific Northwest National Laboratory, USA0000-0002-5923-5547EmiliePurvinePacific Northwest National Laboratory, USA0000-0003-2069-5594MadelynShapiroPacific Northwest National Laboratory, USA0000-0002-2786-7056JiYoungYunPacific Northwest National Laboratory, USA10.21105/joss.06016https://doi.org/10.5281/zenodo.10795225Pythonhttps://joss.theoj.org/papers/10.21105/joss.06016.pdfhypergraph, network science, simplicial-complexes, knowledge graph, simplicial-homology, s-linegraph, property hypergraphtag:joss.theoj.org,2005:Paper/45492024-03-09T21:25:31Z2024-03-11T10:50:14ZPyheartlib: A Python package for processing electrocardiogram signalsacceptedv1.0.12023-06-17 17:30:15 UTC952024-03-09 21:25:31 UTC920245792SadeghMohammadiIndependent Researcher0000-0001-9763-496310.21105/joss.05792https://doi.org/10.5281/zenodo.10730468Pythonhttps://joss.theoj.org/papers/10.21105/joss.05792.pdfelectrocardiogram, signal, heartbeat, arrhythmiatag:joss.theoj.org,2005:Paper/49512024-03-09T08:44:26Z2024-03-10T00:01:13Zplotastic: Bridging Plotting and Statistics in Pythonaccepted0.1.02023-11-23 09:55:06 UTC952024-03-09 08:44:26 UTC920246304MartinKuricDepartment of Musculoskeletal Tissue Regeneration, University of Würzburg, Germany0009-0009-7292-7714ReginaEbertDepartment of Musculoskeletal Tissue Regeneration, University of Würzburg, Germany0000-0002-8192-869X10.21105/joss.06304https://doi.org/10.5281/zenodo.10775033Jupyter Notebook, Pythonhttps://joss.theoj.org/papers/10.21105/joss.06304.pdfplotting, statistics, seaborn, pingouintag:joss.theoj.org,2005:Paper/46832024-03-09T08:42:01Z2024-03-10T00:01:18ZPerMetrics: A Framework of Performance Metrics for Machine Learning Modelsacceptedv1.4.22023-08-08 05:27:41 UTC952024-03-09 08:42:01 UTC920246143NguyenVan ThieuFaculty of Computer Science, Phenikaa University, Yen Nghia, Ha Dong, Hanoi, 12116, Vietnam.0000-0001-9994-874710.21105/joss.06143https://doi.org/10.5281/zenodo.3951205Pythonhttps://joss.theoj.org/papers/10.21105/joss.06143.pdfmodel assessment tools, performance metrics, classification validation metrics, regression evaluation criteria, clustering criterion indices, machine learning metrics