Search Results for "input-output model"

x
Sort By:

Showing 2 open source projects for "input-output model"

View related business solutions
Background Removers Clear Filters & Widen Search
  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
    Start Free
  • Paessler - Monitor Your Whole Network in Minutes Icon
    Paessler - Monitor Your Whole Network in Minutes

    Auto-discovery finds your devices and deploys pre-configured sensors instantly. No project plan required, just visibility from day one.

    Waiting weeks for a monitoring rollout isn't an option when infrastructure doesn't stop running. PRTG's auto-discovery scans your network and suggests from over 200 pre-configured sensor types, so you're watching servers, applications and devices within minutes, not after a multi-week deployment. Enterprise-strength monitoring, without the enterprise complexity. Start your free trial today.
    Start Free 30-Day Trial
  • 1
    Stable Diffusion Rembg

    Stable Diffusion Rembg

    Removes backgrounds from pictures. Extension for webui

    This project is an extension for the Stable Diffusion Web UI that removes backgrounds from images directly inside the interface. It wraps popular background-removal models so creators can take a generated or uploaded image and isolate the subject with a single click. The workflow is designed to be non-destructive: you can preview, tweak thresholds, and export either a transparent PNG or a masked layer for further editing. Because it runs within the Web UI, you can chain it with other...
    Downloads: 2 This Week
    Last Update:
    See Project
  • 2
    TRACER

    TRACER

    Extreme Attention Guided Salient Object Tracing Network

    Extreme Attention Guided Salient Object Tracing Network (AAAI 2022) implementation in PyTorch. Now, fast inference mode offers a salient object result with the mask. You can get the more clear salient object by tuning the threshold. We will release initializing TRACER with a version of pre-trained TE-x.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next

Related Categories

veeam logo