model-recommendation

There are 5 repositories under model-recommendation topic.

• pitt-miskov-zivanov-lab / CLARINET

  CLARINET (CLARIfying NETworks) is a tool that equips modelers with a fast and reliable assistant to select the most relevant knowledge about the systems being modeled using graph-based approaches and literature occurrence metadata.

  interactionknowledge-graphmodel-recommendationmodeling
  Language:Python 2

• pitt-miskov-zivanov-lab / ACCORDION

  ACCORDION (ACCelerating and Optimizing model RecommenDatIONs) is a novel tool and methodology for rapid model assembly by automatically extending and evaluating dynamic network models with the information published in literature.

  clusteringmodelmodel-checkingmodel-recommendationmodeling
  Language:Python 0

• pitt-miskov-zivanov-lab / FIDDLE

  FIDDLE (Finding Interactions using Diagram Driven modeL Extension) is a tool to automatically assemble or extend models with the knowledge extracted from published literature. The two main methods developed as part of FIDDLE are called Breadth First Addition (BFA) and Depth First Addition (DFA), and they are based on network search algorithms.

  graph-search-algorithmsinteractionmodel-recommendation
  Language:Python 0

• pitt-miskov-zivanov-lab / VIOLIN

  VIOLIN (Validating Interactions Of Likely Importance to the Network) is a tool used to automatically classify and judge literature-extracted interactions curated from machine readers by comparing them to existing models. This comparison can help identify key interactions for model extension.

  classificationinteractionmachine-readingmodel-recommendation
  Language:Python 0

• MarceloAtencio / Videogames_Project

  Primer proyecto individual de HENRY

  edaetlmachine-learningvideo-gamemodel-recommendation
  Language:Jupyter Notebook