Showing 2 open source projects for "libnet0-dev"

View related business solutions
  • Save hundreds of developer hours with components built for SaaS applications. Icon
    Save hundreds of developer hours with components built for SaaS applications.

    The #1 Embedded Analytics Solution for SaaS Teams.

    Whether you want full self-service analytics or simpler multi-tenant security, Qrvey’s embeddable components and scalable data management remove the guess work.
    Try Developer Playground
  • Shift, the browser that merges all of your web apps into one powerful window. Icon
    Shift, the browser that merges all of your web apps into one powerful window.

    Your power browser.

    Streamline everything you do online when you install Shift and access thousands of apps without leaving your browser. Connect all of your Gmail, Outlook, and Office 365 accounts and manage everything from one centralized window. Build out your Shift browser with apps that integrate seamlessly so you have ultra-fast access to all the tools you use to stream, shop, work, browse, and stay connected. Shift brings it all together.
    Try for Free
  • 1
    Nx

    Nx

    Smart, fast and extensible build system

    Nx builds a project graph by analyzing your workspace, which it then uses to only rebuild what is necessary and to never run the same computation twice. Nx also helps establish structured code sharing and ownership management to keep the workspace maintainable. Nx provides a modern integrated dev experience. It has a high-quality VS Code plugin, interactive visualizations, GitHub integration and more. The core of Nx is generic, simple, and unobtrusive. Nx Plugins are completely optional...
    Downloads: 1 This Week
    Last Update:
    See Project
  • 2
    PML

    PML

    The easiest way to use deep metric learning in your application

    This library contains 9 modules, each of which can be used independently within your existing codebase, or combined together for a complete train/test workflow. To compute the loss in your training loop, pass in the embeddings computed by your model, and the corresponding labels. The embeddings should have size (N, embedding_size), and the labels should have size (N), where N is the batch size. The TripletMarginLoss computes all possible triplets within the batch, based on the labels you...
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next