Research Lab Showcase Repository

From GM-RKB
Jump to navigation Jump to search

A Research Lab Showcase Repository is a software repository by a research lab that publishes their code, models, and implementations associated with its published research.

  • Context:
    • It can contain code implementations, algorithms, and models directly related to published research from a specific lab or institution.
    • It can serve as a resource for other researchers, practitioners, and students to understand, reproduce, and build upon the lab's findings.
    • It can emphasize a wide range of topics or research areas, reflecting the breadth of the lab's focus rather than in-depth development of a single system.
    • It can use documentation formats such as Jupyter Notebooks, which facilitate interactive learning and exploratory research.
    • It can often be maintained by institutional support, like a dedicated research lab or department, ensuring long-term usability and relevance.
    • It can differ from Open Source Repositorys by limiting community contributions and instead focusing on sharing pre-existing code.
    • It can support reproducibility by offering code that matches or complements experimental setups described in publications.
    • ...
  • Example(s):
    • DeepMind's Showcase Repo that provides code and models supporting research publications on diverse AI topics, such as protein folding and reinforcement learning.
    • OpenAI's Research Codebase that includes code to replicate key findings in natural language processing and generative models.
    • Google Brain’s GitHub Repository that hosts models and training procedures for machine learning projects like image classification and neural architecture search.
    • ...
  • Counter-Example(s):
  • See: Open Source Repository, Reproducibility in Machine Learning, Documentation Standards, Educational Resource Repository


References