Showing 2 open source projects for "interact"

View related business solutions
  • $300 Free Credits to Build on Google Cloud Icon
    $300 Free Credits to Build on Google Cloud

    New customers can spin up VMs, build with AI, and query data at no cost.

    Put your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
    Start Free
  • Ship Agents Faster Icon
    Ship Agents Faster

    Transform your applications and workflows into powerful agentic systems at global scale.

    Gemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
    Get Started Free
  • 1

    EyeBallGUI

    a tool for interactively viewing & marking multi-channel biosignals

    ...The purpose of EyeBallGUI is to facilitate the eyeballing of multi-channel biosignals for the purpose of artefact rejection (or any other binary grouping). EyeBallGUI displays a set of time-series signals in a MATLAB Figure window, allowing the user to visually inspect and interact with the data via the mouse and keyboard in order to mark data as bad/rejected. The tool can be used to visualize a wide range of data types to make any kind of binary decision about segments of data. However, the motivation for the tool is to facilitate the visualization of multi-channel EEG data for the purpose of artefact rejection. ...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2

    LRPR

    Low Rank Page Rank: A matlab project in sparse matrix computation

    The problem of Pagerank is a simple one to state: Given a collection of websites, how do we rank them? The primary way of formulating this utilizes a transition matrix which relates how web pages interact with each other. We investigate what the effect of a low rank approximation for the transition matrix has on the power method and an inner-outer iteration for solving the Pagerank problem. The purpose of the low rank approximation is two fold: (1) to reduce memory requirements (2) to decrease computational time. We show that we see an improvement in storage requirements and a decrease in computational time if we discard the time it takes to perform the low rank approximation, however at the sacrifice of accuracy.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next