Showing 5 open source projects for "projects/"

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  • Red Hat Ansible Automation Platform on Microsoft Azure Icon
    Red Hat Ansible Automation Platform on Microsoft Azure

    Red Hat Ansible Automation Platform on Azure allows you to quickly deploy, automate, and manage resources securely and at scale.

    Deploy Red Hat Ansible Automation Platform on Microsoft Azure for a strategic automation solution that allows you to orchestrate, govern and operationalize your Azure environment.
  • Achieve perfect load balancing with a flexible Open Source Load Balancer Icon
    Achieve perfect load balancing with a flexible Open Source Load Balancer

    Take advantage of Open Source Load Balancer to elevate your business security and IT infrastructure with a custom ADC Solution.

    Boost application security and continuity with SKUDONET ADC, our Open Source Load Balancer, that maximizes IT infrastructure flexibility. Additionally, save up to $470 K per incident with AI and SKUDONET solutions, further enhancing your organization’s risk management and cost-efficiency strategies.
  • 1
    CondaPkg.jl

    CondaPkg.jl

    Add Conda dependencies to your Julia project

    Add Conda dependencies to your Julia project. This package is a lot like Pkg from the Julia standard library, except that it is for managing Conda packages. Conda dependencies are defined in CondaPkg.toml, which is analogous to Project.toml. CondaPkg will install these dependencies into a Conda environment specific to the current Julia project. Hence dependencies are isolated from other projects or environments. Functions like add, rm, status exist to edit the dependencies programmatically...
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  • 2
    SatelliteToolbox.jl

    SatelliteToolbox.jl

    A toolbox for satellite analysis written in julia language

    The SatelliteToolbox.jl contains a set of packages with functions to perform analysis and build simulations related to satellites. It is used on a daily basis on projects at the Brazilian National Institute for Space Research (INPE).
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  • 3
    FastAI.jl

    FastAI.jl

    Repository of best practices for deep learning in Julia

    FastAI.jl is a Julia library for training state-of-the-art deep learning models. From loading datasets and creating data preprocessing pipelines to training, FastAI.jl takes the boilerplate out of deep learning projects. It equips you with reusable components for every part of your project while remaining customizable at every layer. FastAI.jl comes with support for common computer vision and tabular data learning tasks, with more to come.
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  • 4
    FFTW.jl

    FFTW.jl

    Julia bindings to the FFTW library for fast Fourier transforms

    ... for the current project, and other projects that wish to use MKL for FFTs should also set that same preference. Note further that MKL provides only a subset of the functionality provided by FFTW.
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  • Holistically view your business data within a single solution. Icon
    Holistically view your business data within a single solution.

    For IT service providers and MSPs that need a data platform to manage their processes

    BrightGauge, a ConnectWise solution, was started in 2011 to fill a missing need in the small-to-medium IT Services industry: a better way to manage data and provide the value of work to clients. BrightGauge Software allows you to display all of your important business metrics in one place through the use of gauges, dashboards, and client reports. Used by more than 1,800 companies worldwide, BrightGauge integrates with popular business solutions on the market, like ConnectWise, Continuum, Webroot, QuickBooks, Datto, IT Glue, Zendesk, Harvest, Smileback, and so many more. Dig deeper into your data by adding, subtracting, multiplying, and dividing one metric against another. BrightGauge automatically computes these formulas for you. Want to show your prospects how quick you are to respond to tickets? Show off your data with embeddable gauges on public sites.
  • 5
    Pkg Julia

    Pkg Julia

    Package manager for the Julia programming language

    Unlike traditional package managers, which install and manage a single global set of packages, Pkg is designed around “environments”: independent sets of packages that can be local to an individual project or shared and selected by name. The exact set of packages and versions in an environment is captured in a manifest file which can be checked into a project repository and tracked in version control, significantly improving reproducibility of projects. If you’ve ever tried to run code you...
    Downloads: 0 This Week
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