Showing 5 open source projects for "network discovery tool"

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  • 1

    NeuralSyns

    NeuralSyns is a neural simulator for large spiking networks.

    NeuralSyns is a neural simulator for large spiking networks. New neuron and synapse dynamics can be added, and complex network models can be easily built using the included tool NetBuilder. OpenGL is used to show the network's architecture and activity.
    Downloads: 0 This Week
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  • 2

    Network Emulator

    Distributed Network emulation tool for high rate packet

    ...The idea behind this framework is to develop a GUI like GNS3 and make this framework more stable. So if you are interested and have C/C++ programming skills, please contact me at zahid.med@gmail.com This framework allows to emulate a network by managing ethernet packets coming from two kind of interfaces: UDP and virtual network card. This tool is similare to dynamips (GNS3) but it can manager a higher packet rate. It can help to study DDoS attacks based on Botnet using the Lightweigth C++ Virtual Machine (LwCVM) in order to emulate Bots. This project is based on the following projects and libraries: LightweighIP of the TCP/IP stack pthread libpcap for communication with virtual machines dynamips Linux MicroCore
    Downloads: 0 This Week
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  • 3
    The SBML ODE Solver is a command-line tool and programming library (ISO/ANSI C) for construction and numerical integration of an ODE system, derived from an SBML based description of a biochemical reaction network. Development has moved to https://github.com/raim/SBML_odeSolver . Please download the latest version from there!
    Downloads: 0 This Week
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  • 4
    GNU Pinch is a tool for the analysis of the energy consumptions of industrial processes. Given a process involving energy requirements, the program delivers a report of the most efficient heat exchanger network in terms of consumption and fixed costs.
    Downloads: 0 This Week
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  • 5
    SpiNet is a neural simulation tool for large spiking networks with highly heterogeneous synapses. Neurons are modelled as I&F units with dual exponential synaptic conductances. Complex network models can be easily built using the included tool NetBuilder
    Downloads: 1 This Week
    Last Update:
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