Showing 6 open source projects for "64 bit version"

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  • 1
    VMAware

    VMAware

    VM detection library in C++

    VMAware is a cross-platform library designed to detect virtual machines. It is meant to be stupidly easy to use, with only 5 total functions in its public interface. Additionally, it supports brand detection. While there are many VM detection mechanisms that are already in use, VMAware features up to 80+ unique techniques to get the most accurate result possible. On top of the library, there's a CLI tool that takes advantage of the full library (see screenshots) It's also meant...
    Downloads: 0 This Week
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  • 2
    virtual-ubuntu

    virtual-ubuntu

    Ubuntu (64 bit) OVA, VDI

    Ubuntu (64 bit) OVA, VDI VBoxGuestAdditions: Installed Password: passwort virtual-ubuntu powered by juergenrohn
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    Downloads: 3 This Week
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  • 3
    Savuka-VirtualBox

    Savuka-VirtualBox

    Virtual Box VDI of SliTaz Linux with Savuka installed and configured

    Savuka global analysis software (www.osmanbilsel.net) is installed and configured in a light version of SliTaz linux (www.SliTaz.org). root name: root root password: root username: tux password: root Instructions: -Download and install 7zip (www.7-zip.org) -Extract files to HDD -Install included VirtualBox (not tested on other versions, but shouldn't matter) -Within VirtualBox make a new machine ----Machine/New --------Name: Savuka / Type: Linux / Version: Other Linux (32-bit) --------1024MB RAM -------- Use Existing virtual drive (point to extracted Savuka.vdi) ---- Machine/Settigns/Display: set video memory to 50 MB, enable 2D and 3D acceleration ---- Machine/Settings/Shared Folders: Create new machine folder. ...
    Downloads: 0 This Week
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  • 4
    32-Bit Ubuntu 10.04 LTS Image for virtual machines, designed for the speed-to-fritz project. Image should run in VirtualBox or VMware
    Downloads: 2 This Week
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  • 5
    IA-32/64 (x86) CPU Virtualization library.
    Downloads: 0 This Week
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  • 6
    Avenzoar Digital Pathology Tool
    Avenzoar is a one-year exploration of renal cell carcinoma morphology and its related single nucleotide polymorphisms (SNPa) as a method of automating diagnosis of cancer by using a computer-aided decision tree controlled by analytical statistics.
    Downloads: 0 This Week
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