Recent Submissions

  • kaust-library/irts: Institutional Research Tracking Service - first public release

    Alsaedi, Yasmeen; Grenz, Daryl (Zenodo, 2021-06-08) [Software]
    Provides basic functionality to harvest metadata about publications affiliated to an institution from multiple sources and to edit the records before transferring them to a DSpace repository via REST API.
  • kaust-library/ioi: Institutional ORCID Integration 2.0

    Alsaedi, Yasmeen; Grenz, Daryl (Zenodo, 2021-05-25) [Software]
    Fixes to correctly support DSpace 6 REST API Fixes to allow different behavior when using credentials for the non-member ORCID API Fixes to creation of affiliation entry based on LDAP data when there is no existing affiliation entry uploaded in the metadata table Fixes to local data uploads
  • arthurlirui/refsepECCV2020: Code for Reflection Separation via Multi-bounce Polarization State Tracing

    Li, Rui; Qiu, Simeng; Zang, Guangming; Heidrich, Wolfgang (Github, 2021-03-31) [Software]
    Code for Reflection Separation via Multi-bounce Polarization State Tracing
  • Holographic 3D particle imaging with model-based deep network: code

    Chen, Ni; Wang, Congli; Heidrich, Wolfgang (2021-03) [Software]
    This is the open-source repository for our paper: "Holographic 3D particle imaging with model-based deep network", Ni Chen, Congli Wang, and Wolfgang Heidrich, IEEE Transactions on Computational Imaging 7: 288-296, 2021.
  • The NLMS is Steady-State Schur-Convex

    Ali, Anum; Moinuddin, Muhammad; Al-Naffouri, Tareq Y. (Code Ocean, 2021) [Software]
    In this work, we study the impact of input-spread on the steady-state excess mean squared error (EMSE) of the normalized least mean squares (NLMS) algorithm. First, we use the concept of majorization to order the input-regressors according to their spread. Second, we use Schur-convexity to show that the majorization order of the input-regressors is preserved in the EMSE. Effectively, we provide an analytical justification of the increase in steady-state EMSE as the input-spread increases.
  • universome/non-uniform-interpolation: Differentiable non-uniform interpolation: https://arxiv.org/abs/2012.13257

    Skorokhodov, Ivan (Github, 2020-12-12) [Software]
    Differentiable non-uniform interpolation: https://arxiv.org/abs/2012.13257
  • xiaxin1998/DHCN: Codes for paper 'Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation'

    Xia, Xin; Yin, Hongzhi; Yu, Junliang; Wang, Qinyong; Cui, Lizhen; Zhang, Xiangliang (Github, 2020-12-10) [Software]
    Codes for paper 'Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation'
  • HumamAlwassel/XDC: Self-Supervised Learning by Cross-Modal Audio-Video Clustering (NeurIPS 2020)

    Alwassel, Humam (Github, 2020-12-02) [Software]
    Self-Supervised Learning by Cross-Modal Audio-Video Clustering (NeurIPS 2020)
  • universome/inr-gan: Adversarial Generation of Continuous Images

    Skorokhodov, Ivan; Ignatyev, Savva; Elhoseiny, Mohamed (Github, 2020-11-24) [Software]
    Adversarial Generation of Continuous Images
  • Marcin-Luzarowski/PROMIS: The repository was prepared to use size exclusion chromatography-derived data to predict molecular complexes based on similarity of their elution profiles. Code allows to test chosen criteria, prepare ROC curve, plot elution profiles and generate heatmaps.

    Luzarowski, Marcin; Vicente, Rubén; Kiselev, Andrei; Wagner, Mateusz; Schlossarek, Dennis; Erban, Alexander; de Souza, Leonardo Perez; Childs, Dorothee; Wojciechowska, Izabela; Luzarowska, Urszula; Górka, Michał; Sokołowska, Ewelina M.; Kosmacz, Monika; Moreno, Juan C.; Brzezińska, Aleksandra; Vegesna, Bhavana; Kopka, Joachim; Fernie, Alisdair R.; Willmitzer, Lothar; Ewald, Jennifer C.; Skirycz, Aleksandra (Github, 2020-10-01) [Software]
    The repository was prepared to use size exclusion chromatography-derived data to predict molecular complexes based on similarity of their elution profiles. Code allows to test chosen criteria, prepare ROC curve, plot elution profiles and generate heatmaps.
  • hkuwahara/evo-hidden-switch:

    Kuwahara, Hiroyuki; Gao, Xin (Github, 2020-08-30) [Software]
  • dmitrii-briantcev/crosstalk_suppression_fso

    Briantcev, Dmitrii; Trichili, Abderrahmen; Ooi, Boon S.; Alouini, Mohamed-Slim (Github, 2020-08-24) [Software]
  • jessluo/gz_biogeochem_pub: Offline model to assess role of gelatinous zooplankton in global carbon cycle

    Luo, Jessica Y.; Condon, Robert H.; Stock, Charles A.; Duarte, Carlos M.; Lucas, Cathy H.; Pitt, Kylie A.; Cowen, Robert K. (Github, 2020-08-21) [Software]
    Offline model to assess role of gelatinous zooplankton in global carbon cycle
  • vccimaging/StereoEventPTV: Source Code for the Event PTV

    Wang, Yuanhao; Idoughi, Ramzi; Heidrich, Wolfgang (Github, 2020-08-19) [Software]
    Source Code for the Event PTV
  • Variant Analysis with UMI for Long-read Technology (VAULT)

    Bi, Chongwei; Wang, Lin; Yuan, Baolei; Zhou, Xuan; Huang, Yanyi; Li, Mo; Li, Yu; Pang, Yuhong; Gao, Xin; Wang, Sheng (Zenodo, 2020-08-08) [Software]
    VAULT is a tool for analyzing UMI-labeled reads, works for both error-prone long reads and accurate single-end/paired-end short reads. VAULT is a part of IDMseq. More detail can be found in our publication "Long-read individual-molecule sequencing reveals CRISPR-induced genetic heterogeneity in human ESCs" and the latest version is deposited at Github https://github.com/milesjor/VAULT
  • mamacneil/FinPrint: Code and data to reproduce analyses in MacNeil et al. 2020 "Global status and conservation potential of reef sharks""

    MacNeil, M. Aaron; Chapman, Demian D.; Heupel, Michelle; Simpfendorfer, Colin A.; Heithaus, Michael; Meekan, Mark; Harvey, Euan; Goetze, Jordan; Kiszka, Jeremy; Bond, Mark E.; Currey-Randall, Leanne M.; Speed, Conrad W.; Sherman, C. Samantha; Rees, Matthew J.; Udyawer, Vinay; Flowers, Kathryn I.; Clementi, Gina; Valentin-Albanese, Jasmine; Gorham, Taylor; Adam, M. Shiham; Ali, Khadeeja; Pina-Amargós, Fabián; Angulo-Valdés, Jorge A.; Asher, Jacob; Barcia, Laura García; Beaufort, Océane; Benjamin, Cecilie; Bernard, Anthony T. F.; Berumen, Michael L.; Bierwagen, Stacy; Bonnema, Erika; Bown, Rosalind M. K.; Bradley, Darcey; Brooks, Edd; Brown, J. Jed; Buddo, Dayne; Burke, Patrick; Cáceres, Camila; Cardeñosa, Diego; Carrier, Jeffrey C.; Caselle, Jennifer E.; Charloo, Venkatesh; Claverie, Thomas; Clua, Eric; Cochran, Jesse; Cook, Neil; Cramp, Jessica; D’Alberto, Brooke; de Graaf, Martin; Dornhege, Mareike; Estep, Andy; Fanovich, Lanya; Farabough, Naomi F.; Fernando, Daniel; Flam, Anna L.; Floros, Camilla; Fourqurean, Virginia; Garla, Ricardo; Gastrich, Kirk; George, Lachlan; Graham, Rory; Guttridge, Tristan; Hardenstine, Royale; Heck, Stephen; Henderson, Aaron C.; Hertler, Heidi; Hueter, Robert; Johnson, Mohini; Jupiter, Stacy; Kasana, Devanshi; Kessel, Steven T.; Kiilu, Benedict; Kirata, Taratu; Kuguru, Baraka; Kyne, Fabian; Langlois, Tim; Lédée, Elodie J. I.; Lindfield, Steve; Luna-Acosta, Andrea; Maggs, Jade; Manjaji-Matsumoto, B. Mabel; Marshall, Andrea; Matich, Philip; McCombs, Erin; McLean, Dianne; Meggs, Llewelyn; Moore, Stephen; Mukherji, Sushmita; Murray, Ryan; Kaimuddin, Muslimin; Newman, Stephen J.; Nogués, Josep; Obota, Clay; O’Shea, Owen; Osuka, Kennedy; Papastamatiou, Yannis P.; Perera, Nishan; Peterson, Bradley; Ponzo, Alessandro; Prasetyo, Andhika; Quamar, L. M. Sjamsul; Quinlan, Jessica; Ruiz-Abierno, Alexei; Sala, Enric; Samoilys, Melita; Schärer-Umpierre, Michelle; Schlaff, Audrey; Simpson, Nikola; Smith, Adam N. H.; Sparks, Lauren; Tanna, Akshay; Torres, Rubén; Travers, Michael J.; van Zinnicq Bergmann, Maurits; Vigliola, Laurent; Ward, Juney; Watts, Alexandra M.; Wen, Colin; Whitman, Elizabeth; Wirsing, Aaron J.; Wothke, Aljoscha; Zarza-Gonzâlez, Esteban; Cinner, Joshua E. (Github, 2020-07-21) [Software]
    Code and data to reproduce analyses in MacNeil et al. 2020 "Global status and conservation potential of reef sharks""
  • makamoa/alfred:

    Getman, Fedor; Fratalocchi, Andrea; Makarenko, M.; Burguete-Lopez, A. (Github, 2020-07-13) [Software]
  • Wenbin16/2014Yutian-Eq:

    Li, Xing; Xu, Wenbin; Jonsson, Sigurjon; Klinger, Yann; Zhang, Guohong (Github, 2020-07-10) [Software]
  • functional-dark-side/vanni_et_al-figures: Code for the figures in Vanni et al. manuscript

    Vanni, Chiara; Schechter, Matthew S.; Acinas, Silvia G.; Barberán, Albert; Buttigieg, Pier Luigi; Casamayor, Emilio O.; Delmont, Tom O.; Duarte, Carlos M.; Eren, A. Murat; Finn, Robert D.; Kottmann, Renzo; Mitchell, Alex; Sanchez, Pablo; Siren, Kimmo; Steinegger, Martin; Glöckner, Frank Oliver; Fernandez-Guerra, Antonio (Github, 2020-07-03) [Software]
    Code for the figures in Vanni et al. manuscript
  • gitdevqiang/SenWave: The public tweets sentimental analysis dataset SenWave for Covid-19 research

    Yang, Qiang (Github, 2020-06-14) [Software]
    The public tweets sentimental analysis dataset SenWave for Covid-19 research

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