tag:joss.theoj.org,2005:/papers/edited_by/@arokem?page=3Journal of Open Source Software2019-04-15T18:02:41ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/8032019-04-15T18:02:41Z2021-02-15T11:32:41ZInstrbuilder: A Python package for electrical instrument controlaccepted0.1.02019-01-06 04:25:30 UTC362019-04-15 18:02:41 UTC420191172LucasJ.KoernerLucas J. Koerner, Department of Electrical and Computer Engineering, University of St. Thomas0000-0002-7236-720210.21105/joss.01172https://doi.org/10.5281/zenodo.2640871Pythonhttps://joss.theoj.org/papers/10.21105/joss.01172.pdfinstrument control, data acquisition, SCPI, electrical engineering, physics, experimentstag:joss.theoj.org,2005:Paper/7172019-03-29T11:21:29Z2021-02-15T11:32:50Zidvf: Iterative Inversion of Deformation Vector Field with Adaptive Bi-residual Feedback Controlacceptedv1.0.02018-11-02 00:23:09 UTC352019-03-29 11:21:29 UTC420191076Alexandros-StavrosIliopoulosDepartment of Computer Science, Duke University, Durham, NC 27708, USA0000-0002-1959-9792AbhishekDubeyDepartment of Computer Science, Duke University, Durham, NC 27708, USA0000-0001-8052-7416XiaobaiSunDepartment of Computer Science, Duke University, Durham, NC 27708, USA10.21105/joss.01076https://doi.org/10.5281/zenodo.2610844Matlabhttps://joss.theoj.org/papers/10.21105/joss.01076.pdfdeformation vector field, optical flow, deformable registration, fixed-point iteration, inverse consistency, adaptive feedback control, medical image analysis, computer vision, MATLABtag:joss.theoj.org,2005:Paper/7382019-02-04T12:22:25Z2021-02-15T11:32:46ZPy-school-match: Matching algorithms to assign students to schoolsaccepted0.2.02018-11-28 13:18:27 UTC342019-02-04 12:22:25 UTC420191111IacopoGarizioPontificia Universidad Católica de Chile0000-0002-8431-516X10.21105/joss.01111https://doi.org/10.5281/zenodo.2554632Pythonhttps://joss.theoj.org/papers/10.21105/joss.01111.pdfMatching, Algorithm, School, Studentstag:joss.theoj.org,2005:Paper/7272019-01-30T10:59:06Z2021-02-15T11:32:48ZGAMA: Genetic Automated Machine learning Assistantacceptedv0.1.02018-11-19 17:52:57 UTC332019-01-30 10:59:06 UTC420191132PieterGijsbersEindhoven University of Technology0000-0001-7346-8075JoaquinVanschorenEindhoven University of Technology0000-0001-7044-980510.21105/joss.01132https://doi.org/10.5281/zenodo.2545472Python, Jupyter Notebookhttps://joss.theoj.org/papers/10.21105/joss.01132.pdfAutoML, evolutionary algorithm, genetic programmingtag:joss.theoj.org,2005:Paper/6482018-12-05T13:38:26Z2021-02-15T11:32:56ZiRF: extracting interactions from random forestsacceptedv2.0.02018-10-04 17:13:09 UTC322018-12-05 13:38:26 UTC320181077SumantaBasuDenotes equal contribution, Department of Biological Statistics and Computational Biology, Cornell University, Department of Statistical Science, Cornell UniversityKarlKumbierDenotes equal contribution, Statistics Department, University of California, BerkeleyJamesB.BrownStatistics Department, University of California, Berkeley, Centre for Computational Biology, School of Biosciences, University of Birmingham, Molecular Ecosystems Biology Department, Biosciences Area, Lawrence Berkeley National LaboratoryBinYuStatistics Department, University of California, Berkeley, Department of Electrical Engineering and Computer Sciences, University of California, Berkeley10.21105/joss.01077https://doi.org/10.5281/zenodo.1901907R, C++, Chttps://joss.theoj.org/papers/10.21105/joss.01077.pdfRandom Forests, Interpretable machine learningtag:joss.theoj.org,2005:Paper/5492018-12-02T20:49:39Z2021-02-15T11:33:13Zpfla: A Python Package for Dental Facial Analysis using Computer Vision and Statistical Shape Analysisacceptedv0.1.42018-07-12 14:33:52 UTC322018-12-02 20:49:39 UTC32018855MaximeRousseauMcGill University, Faculty of Dentistry0000-0002-1417-2511Jean-MarcRetrouveyMcGill University, Faculty of Dentistry0000-0003-2112-920110.21105/joss.00855https://doi.org/10.5281/zenodo.1761769Python, Rhttps://joss.theoj.org/papers/10.21105/joss.00855.pdffacial analysis, dentistry, statistical shape analysis, euclidean geometrytag:joss.theoj.org,2005:Paper/6312018-11-01T13:04:23Z2021-02-15T11:32:58ZFixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networksacceptedv1.02018-09-17 21:06:48 UTC312018-11-01 13:04:23 UTC320181003MatthewD.GolubDepartment of Electrical Engineering, Stanford University, Stanford Neurosciences Institute, Stanford University0000-0003-4508-0537DavidSussilloDepartment of Electrical Engineering, Stanford University, Stanford Neurosciences Institute, Stanford University, Google Brain, Work done while at Stanford University0000-0003-1620-126410.21105/joss.01003https://doi.org/10.5281/zenodo.1476209Pythonhttps://joss.theoj.org/papers/10.21105/joss.01003.pdfrecurrent neural networks, fixed point optimization, nonlinear dynamical systems, Tensorflowtag:joss.theoj.org,2005:Paper/6392018-11-01T12:57:46Z2021-02-15T11:32:57ZTensorFlow.jl: An Idiomatic Julia Front End for TensorFlowacceptedv0.10.12018-09-24 16:19:50 UTC312018-11-01 12:57:46 UTC320181002JonathanMalmaudMassachusetts Institute of Technology0000-0002-5352-2086LyndonWhiteThe University of Western Australia0000-0003-1386-164610.21105/joss.01002https://doi.org/10.5281/zenodo.1476107Juliahttps://joss.theoj.org/papers/10.21105/joss.01002.pdfjulialang, tensorflow, machine learning, neural networks, deep learningtag:joss.theoj.org,2005:Paper/5792018-10-09T09:36:01Z2021-02-15T11:33:08Zmrivis: Medical image visualization library for neuroscience in pythonaccepted0.32018-08-03 21:44:54 UTC302018-10-09 09:36:01 UTC32018897PradeepReddyRaamanaRotman Research Institute, Baycrest Health Sciences, Toronto, ON, Canada0000-0003-4662-0558StephenC.StrotherRotman Research Institute, Baycrest Health Sciences, Toronto, ON, Canada, Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada0000-0002-3198-217X10.21105/joss.00897https://doi.org/10.5281/zenodo.1450944Matlab, Pythonhttps://joss.theoj.org/papers/10.21105/joss.00897.pdfvisualization, neuroscience, alignment, neuroimaging, multimodal, development kittag:joss.theoj.org,2005:Paper/6042018-10-02T19:49:45Z2021-02-15T11:33:04Zgraynet: single-subject morphometric networks for neuroscience connectivity applicationsacceptedv0.3.92018-08-25 04:38:22 UTC302018-10-02 19:49:45 UTC32018924PradeepReddyRaamanaRotman Research Institute, Baycrest Health Sciences, Toronto, ON, Canada0000-0003-4662-0558StephenC.StrotherRotman Research Institute, Baycrest Health Sciences, Toronto, ON, Canada, Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada0000-0002-3198-217X10.21105/joss.00924https://doi.org/10.5281/zenodo.1442846Python, Jupyter Notebookhttps://joss.theoj.org/papers/10.21105/joss.00924.pdfneuroscience, network, morphometry, connectivity, gray matter, graph, histogram, freesurfer