Showing 5 open source projects for "machine learning platform"

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  • 1
    VirtualBox

    VirtualBox

    Virtualization software for x86_64 hardware

    VirtualBox is a powerful open-source full virtualization software that allows a user to run one or more “guest” operating systems simultaneously inside “virtual machines” on a single physical “host” machine. It supports a wide variety of host platforms (Linux, Windows, macOS, Solaris, etc.) and guest OSes, enabling, for example, running Linux on a Windows PC, running Windows Server on a Linux host, or even legacy OSes in a controlled environment. This flexibility makes VirtualBox ideal for...
    Downloads: 115 This Week
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  • 2
    ESP8266 Deauther Version 2

    ESP8266 Deauther Version 2

    Affordable WiFi hacking platform for testing and learning

    Scan for WiFi devices, block selected connections, create dozens of networks and confuse WiFi scanners! Version 3 is in development. It is stable to use, but it is very different. It is command-line based, which allows it to offer not just more features, but make them more customizable. This software allows you to easily perform a variety of actions to test 802.11 wireless networks by using an inexpensive ESP8266 WiFi SoC (System On A Chip). The main feature, the deauthentication attack, is...
    Downloads: 33 This Week
    Last Update:
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  • 3
    A packet dissector driven by machine learning algorithms. You train it to recognize specific types of packets by showing it examples and counterexamples of some packet type, and it will figure out which bits in the packet define it as the type you seek.
    Downloads: 0 This Week
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  • 4
    A virtual machine inspired by the concept of IBM's z/VM. The goal is to create a secure, fast and reliable server platform with focus on security with the ability to nest more VMs.
    Downloads: 0 This Week
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  • 5
    I am writing a software that will display internet traffic usage per node on a Lan network, ie a node correspond to a machine on a Lan. Ideally, the software will run on any platform regardless of the Operating System. However, version 0.1 will be
    Downloads: 0 This Week
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