Showing 3 open source projects for "community detection algorithm"

View related business solutions
  • Keep company data safe with Chrome Enterprise Icon
    Keep company data safe with Chrome Enterprise

    Protect your business with AI policies and data loss prevention in the browser

    Make AI work your way with Chrome Enterprise. Block unapproved sites and set custom data controls that align with your company's policies.
    Download Chrome
  • Total Network Visibility for Network Engineers and IT Managers Icon
    Total Network Visibility for Network Engineers and IT Managers

    Network monitoring and troubleshooting is hard. TotalView makes it easy.

    This means every device on your network, and every interface on every device is automatically analyzed for performance, errors, QoS, and configuration.
    Learn More
  • 1
    Penguins' eggs

    Penguins' eggs

    On the road of Remastersys, Refracta, Systemback and father Knoppix!

    penguins-eggs is a console tool, under continuous development, that allows you to remaster your system and redistribute it as live images on usb sticks or via PXE, work on amd64, i386 and ARM64.
    Leader badge
    Downloads: 99 This Week
    Last Update:
    See Project
  • 2
    openWrt-snort

    openWrt-snort

    Image of OpenWrt OS, with snort community featured in.

    Image of OpenWrt OS, with snort community featured in, for Raspberry Pi 4/ 4B+ and 400, basically for Processor BCM2711. Installed Snort Community Model to Intrusion Detection system. Prevention system not installed. eth0 used as output/ LAN socket, to run internet and access router. eth1, which can be USB -> Ethernet port, is used as WAN port, to connect Pi board to Internet IP.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    BerryNet

    BerryNet

    Deep learning gateway on Raspberry Pi and other edge devices

    This project turns edge devices such as Raspberry Pi into an intelligent gateway with deep learning running on it. No internet connection is required, everything is done locally on the edge device itself. Further, multiple edge devices can create a distributed AIoT network. At DT42, we believe that bringing deep learning to edge devices is the trend towards the future. It not only saves costs of data transmission and storage but also makes devices able to respond according to the events...
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next