Skip to content

@computationalmedia cmlab

Change the repository type filter

All

    Repositories list

    14 repositories

    • media_landscape

      Public
      Code and Data for paper: The Shapes of the Fourth Estate During the Pandemic: Profiling COVID-19 News Consumption in Eight Countries (CSCW '23)
      Python
      •
      MIT License
      •0•3•0•0•Updated Dec 11, 2023Dec 11, 2023

    • semstyle

      Public
      Code for learning to generate stylized image captions from unaligned text
      Python
      •11•62•6•1•Updated Aug 13, 2022Aug 13, 2022

    • hipie

      Public
      A web-based visualiser for HIP
      R
      •3•8•0•0•Updated Mar 31, 2022Mar 31, 2022

    • supmmd

      Public
      SupMMD EMNLP paper
      Python
      •0•1•1•0•Updated May 23, 2021May 23, 2021

    • youtube-insight

      Public
      An integrated YouTube data crawler.
      7•4•0•0•Updated Jul 29, 2020Jul 29, 2020

    • rnn-mas

      Public
      Code for Modeling Popularity in Asynchronous Social Media Streams with Recurrent Neural Networks, ICWSM'18 paper
      Python
      •
      GNU General Public License v3.0
      •2•8•1•0•Updated Nov 6, 2019Nov 6, 2019

    • compsumm

      Public
      Code and Datasets for AAAI paper "Comparative Document Summarisation via Classification"
      Jupyter Notebook
      •0•9•0•0•Updated Jan 15, 2019Jan 15, 2019

    • naming-with-visual-context

      Public
      Supporting files for two papers on naming visual concepts.
      HTML
      •0•2•0•0•Updated Oct 30, 2018Oct 30, 2018

    • numericalHawkes

      Public
      Jupyter Notebook
      •0•0•0•0•Updated Jun 8, 2018Jun 8, 2018

    • cascade-influence

      Public
      Jupyter Notebook
      •5•13•1•0•Updated May 10, 2018May 10, 2018

    • sir-hawkes

      Public
      SIR-Hawkes: Linking Epidemic Models and Hawkes Processes to Model Diffusions in Finite Populations
      Jupyter Notebook
      •4•14•0•0•Updated Apr 15, 2018Apr 15, 2018

    • hip-popularity

      Public
      This repo contains data, source code and other ressources related to the paper: "Expecting to be HIP: Hawkes Intensity Processes for Social Media Popularity"
      Jupyter Notebook
      •17•1•0•0•Updated Jan 10, 2018Jan 10, 2018

    • tour-cikm16

      Public
      Jupyter Notebook
      •2•2•0•0•Updated Jun 20, 2017Jun 20, 2017

    • featuredriven-hawkes

      Public
      Code and Data for CIKM Paper Feature Driven and Point Process Approaches for Popularity Prediction
      Jupyter Notebook
      •
      GNU General Public License v3.0
      •32•0•0•0•Updated May 10, 2017May 10, 2017
    ProTip! When viewing an organization's repositories, you can use the props. filter to filter by custom property.