Showing 4 open source projects for "virtual studio code"

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    Containerization (Apple)

    Containerization (Apple)

    Containerization is a Swift package for running Linux containers

    This repository provides educational material and sample code that demystify how containerization works and how container components fit together in practice. It walks through the responsibilities of an image format, registry, and runtime, and shows how a minimal runtime can assemble an isolated process with the right filesystem view, environment, and entrypoint. The samples highlight security hardening considerations—such as process isolation, filesystem scoping, and least-privilege...
    Downloads: 3 This Week
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  • 2
    Recommenders

    Recommenders

    Best practices on recommendation systems

    ...Implementations of several state-of-the-art algorithms are included for self-study and customization in your own applications. Please see the setup guide for more details on setting up your machine locally, on a data science virtual machine (DSVM) or on Azure Databricks. Independent or incubating algorithms and utilities are candidates for the contrib folder. This will house contributions which may not easily fit into the core repository or need time to refactor or mature the code and add necessary tests.
    Downloads: 0 This Week
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  • 3
    hubs-research-acm-chi-2021

    hubs-research-acm-chi-2021

    Supplemental code and dataset for the ACM CHI 2021 paper

    Supplemental code and dataset for the ACM CHI 2021 paper on "Proxemics and Social Interactions in an Instrumented Virtual Reality Workshop". In this research paper we instrumented Mozilla Hubs Cloud to record where participants where during the event. From there, we measured proxemic and plotted the activity along with some semi-structured interviews.
    Downloads: 0 This Week
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  • 4
    Flatland VR

    Flatland VR

    Flatland is the virtual environment for Virtual Reality.

    Flatland is the virtual environment developed to perform these investigations. Using Flatland as the base environment scientists can visualize and explore both their data and the computations that manipulate that data. Imagine, if you will, a scientist able to examine the real-time results of a simulation and, when he notices an anomally he would like to investigate, he turns to the program running the simulation and examines the code, possibly changing it on the fly. ...
    Downloads: 0 This Week
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