• Host LLMs in Production With On-Demand GPUs Icon
    Host LLMs in Production With On-Demand GPUs

    NVIDIA L4 GPUs. 5-second cold starts. Scale to zero when idle.

    Deploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
    Try Free
  • $300 Free Credits to Build on Google Cloud Icon
    $300 Free Credits to Build on Google Cloud

    New to Google Cloud? Get $300 in credits to explore Compute Engine, BigQuery, Cloud Run, Gemini Enterprise Agent Platform, and more.

    Start your next project with $300 in free Google Cloud credit. Spin up VMs, run containers, query petabytes in BigQuery, or build agents with Gemini Enterprise Agent Platform. Once your credits are used, keep building with 20+ always-free tier products including Compute Engine, Cloud Storage, GKE, and Cloud Run functions. No commitment required—just sign up and start building.
    Claim $300 Free
  • 1
    WiiGesture for Fex/AIR

    WiiGesture for Fex/AIR

    Allows inclusion of Gesture Interaction via WiiMote in Web-Apps

    ...For easier gesture training, a so called WiiGesture-Learning desktop tool was developed that automatically generates gesture templates by performing gestures with at least one repetition. The result is an XML file that can be exported and included in the WiiGesture-API so that trained gestures are known to the API. For research purposes also an analysis tool was developed to compare gestures from different participants/users. We used it to identify intuitive gestures from users for certain commands. The entire work was part of my diploma thesis I wrote in 2008 at Fraunhofer IGD. ...
    Downloads: 2 This Week
    Last Update:
    See Project
  • 2
    MooGraph is an utility to produce interactive dynamical graphs from statistical data. Deliberately inspired to GapMinder, it represents the evolution of multivariate data in time by means of coloured bubbles of variable sizes on an (x,y) plot.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    The Virtual Commons (http://commons.asu.edu) is an open software initiative devoted to computational experiments on collective action and resource governance and funded by Arizona State University's Center for Behavior, Institutions, and the Environment (http://cbie.asu.edu). NOTE: we've moved our development to GitHub at https://github.com/virtualcommons - please look for the latest versions there.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next