Showing 8 open source projects for "rd-builds"

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  • ConnectWise Cybersecurity Management for MSPs Icon
    ConnectWise Cybersecurity Management for MSPs

    Software and support solutions to protect your clients’ critical business assets

    ConnectWise SIEM (formerly Perch) offers threat detection and response backed by an in-house Security Operations Center (SOC). Defend against business email compromise, account takeovers, and see beyond your network traffic. Our team of threat analysts does all the tedium for you, eliminating the noise and sending only identified and verified treats to action on. Built with multi-tenancy, ConnectWise SIEM helps you keep clients safe with the best threat intel on the market.
  • Control remote support software for remote workers and IT teams Icon
    Control remote support software for remote workers and IT teams

    Raise the bar for remote support and reduce customer downtime.

    ConnectWise ScreenConnect, formerly ConnectWise Control, is a remote support solution for Managed Service Providers (MSP), Value Added Resellers (VAR), internal IT teams, and managed security providers. Fast, reliable, secure, and simple to use, ConnectWise ScreenConnect helps businesses solve their customers' issues faster from any location. The platform features remote support, remote access, remote meeting, customization, and integrations with leading business tools.
  • 1
    Documenter.jl

    Documenter.jl

    A documentation generator for Julia

    A documentation generator for Julia. A package for building documentation from docstrings and markdown files.
    Downloads: 1 This Week
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  • 2
    GPUCompiler.jl

    GPUCompiler.jl

    Reusable compiler infrastructure for Julia GPU backends

    Reusable compiler infrastructure for Julia GPU backends. This package offers reusable compiler infrastructure and tooling for implementing GPU compilers in Julia. It is not intended for end users! Instead, you should use one of the packages that builds on GPUCompiler.jl, such as CUDA.jl or AMDGPU.jl.
    Downloads: 0 This Week
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  • 3
    RuntimeGeneratedFunctions.jl

    RuntimeGeneratedFunctions.jl

    Functions generated at runtime without world-age issues or overhead

    RuntimeGeneratedFunctions are functions generated at runtime without world-age issues and with the full performance of a standard Julia anonymous function. This builds functions in a way that avoids eval. For technical reasons, RuntimeGeneratedFunctions needs to cache the function expression in a global variable within some module. This is normally transparent to the user, but if the RuntimeGeneratedFunction is evaluated during module precompilation, the cache module must be explicitly set...
    Downloads: 0 This Week
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  • 4
    Vulkan.jl

    Vulkan.jl

    Using Vulkan from Julia

    Vulkan.jl is a lightweight wrapper around the Vulkan graphics and compute library. It exposes abstractions over the underlying C interface, primarily geared toward developers looking for a more natural way to work with Vulkan with minimal overhead. It builds upon the core API provided by VulkanCore.jl. Because Vulkan is originally a C specification, interfacing with it requires some knowledge before correctly being used from Julia. This package acts as an abstraction layer, so that you don't...
    Downloads: 0 This Week
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  • Multi-Site Network and Cloud Connectivity for Businesses Icon
    Multi-Site Network and Cloud Connectivity for Businesses

    Internet connectivity without complexity

    As your users rely more and more on Cloud and Internet-based technologies, reliable internet connectivity becomes more and more important to your business. With Bigleaf’s proven SD-WAN architecture, groundbreaking AI, and DDoS attack mitigation, you can finally deliver the reliable internet connectivity your business needs without the limitations of traditional networking platforms. Bigleaf’s Cloud Access Network and plug-and-play router allow for limitless control to and from anywhere your traffic needs to go. Bigleaf’s self-driving AI automatically identifies and adapts to any changing circuit conditions and traffic needs—addressing issues before they impact your users. Bigleaf puts you in the driver’s seat of every complaint and support call with full-path traffic and network performance data, delivered as actionable insights, reports, and alerts.
  • 5
    Yggdrasil

    Yggdrasil

    Collection of builder repositories for BinaryBuilder.jl

    This repository contains recipes for building binaries for Julia packages using BinaryBuilder.jl.
    Downloads: 0 This Week
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  • 6
    GPUArrays

    GPUArrays

    Reusable array functionality for Julia's various GPU backends

    Reusable GPU array functionality for Julia's various GPU backends. This package is the counterpart of Julia's AbstractArray interface, but for GPU array types: It provides functionality and tooling to speed-up development of new GPU array types. This package is not intended for end users! Instead, you should use one of the packages that builds on GPUArrays.jl, such as CUDA.jl, oneAPI.jl, AMDGPU.jl, or Metal.jl.
    Downloads: 0 This Week
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  • 7
    Graphs.jl

    Graphs.jl

    An optimized graphs package for the Julia programming language

    The goal of Graphs.jl is to offer a performant platform for network and graph analysis in Julia, following the example of libraries such as NetworkX in Python. Offers a set of simple, concrete graph implementations – SimpleGraph (for undirected graphs) and SimpleDiGraph (for directed graphs), an API for the development of more sophisticated graph implementations under the AbstractGraph type, and a large collection of graph algorithms with the same requirements as this API.
    Downloads: 0 This Week
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  • 8
    HMMBase.jl

    HMMBase.jl

    Hidden Markov Models for Julia

    HMMBase is not maintained anymore. It will keep being available as a Julia package but we encourage existing and new users to migrate to HiddenMarkovModels.jl which offers a similar interface. For more information see HiddenMarkovModels.jl: when did HMMs get so fast?. HMMBase provides a lightweight and efficient abstraction for hidden Markov models in Julia. Most HMMs libraries only support discrete (e.g. categorical) or Normal distributions. In contrast HMMBase builds upon Distributions.jl...
    Downloads: 0 This Week
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