8 projects for "void linux based" with 2 filters applied:

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  • 1
    GNS3

    GNS3

    An advanced network simulator to design and configure virtual networks

    Build, Design and Test your network in a risk-free virtual environment and access the largest networking community to help. Whether you are studying for your first networking exam or building out a state-wide telecommunications network, GNS3 offers an easy way to design and build networks of any size without the need for hardware.
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    Downloads: 4,558 This Week
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  • 2
    CNrun
    A neuronal network simulator using NeuroML (as generated by neuroConstruct) for network description. Conductance- and rate-based Hodgkin-Huxley neuron models, and a number of other neurons & synapses. A 5-6-order RK method is used for integration.
    Downloads: 0 This Week
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  • 3
    A network simulator for IEEE 802.11 WLANs supporting PCF based communications.
    Downloads: 0 This Week
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  • 4
    For new versions, check https://github.com/Darkkey/javaNetSim javaNetSim (Java Network Simulator) - it's a fork of a project jFirewallSim. The main goal of javaNetSim is creating a software to simulate various TCP/IP networks based on Ethernet, WiFi, PPP, etc...
    Downloads: 3 This Week
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  • 5
    The NS-Mapper ad-hoc scenario editor is improved and extended by adding more realistic strategies, such as random based node placement, movement and traffic to the ad-hoc simulation of the Network Simulator 2 (NS-2).
    Downloads: 0 This Week
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  • 6
    iSNS is an interactive neural network simulator written in Java/Java3D. The program is intended to be used in lessons of Neural Networks. The program was developed by students as the software project at Charles University in Prague.
    Downloads: 0 This Week
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  • 7
    Design and implementation of the Observation-based Cooperation Enforcement in Mobile Ad-hoc Networks (OCEAN) protocol, on top of the ns2 network simulator, using Dynamic Source Routing (DSR).
    Downloads: 0 This Week
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  • 8
    RooCARDS is a set of C++ classes written for the ROOT analysis framework which interface ROOT to the Stuttgart Neural Network Simulator (SNNS). This interface is based on a concept originally developed by Professor Yibin Pan at the UW-Madison.
    Downloads: 0 This Week
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