Showing 4 open source projects for "cross"

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    Gemini 3 and 200+ AI Models on One Platform

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    PowerShell

    PowerShell

    Command-line shell and scripting language built on .NET

    Powershell is a cross-platform, task-based command-line shell and scripting language that helps rapidly automate tasks that manage operating systems (Linux, macOS and Windows) and processes. It works well with existing tools and is optimized for dealing with structured data, REST APIs and object models. PowerShell was developed by Microsoft as a task management and configuration management framework.
    Downloads: 283 This Week
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  • 2
    Shoal

    Shoal

    A lot of fish in a shoal, in a gigantic scientific ocean.

    Ours organization website GCModeller.org is coming online soon! Shoal Shell is the sub project for the "genome-in-code"(http://code.google.com/p/genome-in-code/) virtual cell modelling project of the bacteria Xcc 8004. Shoal Shell aim at provide the modelling tool and the debugging tool for the GCModeller virtual cell modelling, And from the extendible library package, shoal shell can manage to accomplish the entire modelling job for any other bacteria species. Shoal Shell Project...
    Downloads: 0 This Week
    Last Update:
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  • 3
    PowerShell open source cross-platform reimplementation. Works on Windows, WinMobile, WinCE, Mac, Linux, Solaris, etc... Provides a rich shell environment for wide veriety of operating systems as well as to provide a hostable scripting engine.
    Downloads: 0 This Week
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  • 4
    ButterflyOS is a very simple operation system for the Atmel AVR Butterfly board. It's based on the AvrX multitasking scheduler, created by Larry Barello. A byte-code program for ButterflyOS, can be sent and managed through the serial interface.
    Downloads: 1 This Week
    Last Update:
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  • Host LLMs in Production With On-Demand GPUs Icon
    Host LLMs in Production With On-Demand GPUs

    NVIDIA L4 GPUs. 5-second cold starts. Scale to zero when idle.

    Deploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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