[go: up one dir, main page]

Showing 3 open source projects for "jit compiler"

View related business solutions
  • 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
  • Labra enables you to launch your solutions on Azure, AWS, and Google Cloud quickly and seamlessly—without a single line of code. Icon
    Labra enables you to launch your solutions on Azure, AWS, and Google Cloud quickly and seamlessly—without a single line of code.

    Cloud GTM Without Limits

    Labra is designed for cloud businesses, independent software vendors (ISVs), and channel partners looking to streamline their go-to-market strategies, accelerate product listings, and enhance sales efficiency through AI-powered automation and CRM integration. Additionally, it caters to teams seeking to enhance collaboration with cloud providers and partner ecosystems while maintaining control over their sales processes and optimizing their growth potential
    Learn More
  • 1
    LatticeQCD.jl

    LatticeQCD.jl

    A native Julia code for lattice QCD with dynamical fermions in 4D

    This code enables you to perform lattice QCD calculations! A native Julia code for Lattice QCD.
    Downloads: 1 This Week
    Last Update:
    See Project
  • 2
    BetaML.jl

    BetaML.jl

    Beta Machine Learning Toolkit

    ...If your favorite option or model is missing, you can try to implement it yourself and open a pull request to share it (see the section Contribute below) or request its implementation. Thanks to its JIT compiler, Julia is indeed in the sweet spot where we can easily write models in a high-level language and still have them running efficiently.
    Downloads: 4 This Week
    Last Update:
    See Project
  • 3
    Gridap.jl

    Gridap.jl

    Grid-based approximation of partial differential equations in Julia

    Gridap provides a set of tools for the grid-based approximation of partial differential equations (PDEs) written in the Julia programming language. The library currently supports linear and nonlinear PDE systems for scalar and vector fields, single and multi-field problems, conforming and nonconforming finite element (FE) discretizations, on structured and unstructured meshes of simplices and n-cubes. It also provides methods for time integration. Gridap is extensible and modular. One can...
    Downloads: 2 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next