Showing 8 open source projects for "neural net python"

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  • 1

    Molecular Dynamics Studio

    Molecular Dynamics Cell Construction

    This is a collection of software modifications created to integrate NanoEngineer-1, PACKMOL and MSI2LMP for the purpose of easily creating molecular dynamics cells. NanoEngineer-1 is a molecular CAD software written by Nanorex and provides the user an easy way to create molecules, while the software modifications allow the user to type atoms using multiple force fields. PACKMOL can generate a random collection of molecules using the molecule templates from NanoEngineer-1 thus providing the...
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    Downloads: 10 This Week
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  • 2
    Virtual Laboratory Environment

    Virtual Laboratory Environment

    A multi-modeling and simulation environment to study complex systems

    ...The models can be developed with the DEVS formalism or with the classical mathematical formalism: Ordinary Differential Equation with Euler, Range-Kutta or QSS integrator, Finite state automaton (FDDEVS, UML State chart, Hybrid Petri net). The VLE environment provides an IDE to develop C++ models, DEVS coupled models. VLE have also three ports to use the VFL with Python, Java and R programming languages.
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    Downloads: 0 This Week
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  • 3

    Moose

    Multiscale Neuroscience and Systems Biology Simulator

    Moose is the core of a modern software platform for the simulation of neural systems ranging from subcellular components and biochemical reactions to complex models of single neurons, large networks, and systems-level processes. We have moved Github.com. This should be your source for the latest version of the code.
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    Downloads: 2 This Week
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  • 4

    nevesim

    NEVESIM is an event-driven neural simulation tool.

    NEVESIM is a software package for event-driven simulation of networks of spiking neurons with a fast simulation core in C++, and a scripting user interface in the Python programming language. It supports simulation of heterogeneous networks with different types of neurons and synapses, and can be easily extended by the user with new neuron and synapse types. To enable heterogeneous networks and extensibility, NEVESIM is designed to decouple the simulation logic of communicating events...
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  • 5
    NeMo is a high-performance spiking neural network simulator which simulates networks of Izhikevich neurons on CUDA-enabled GPUs. NeMo is a C++ class library, with additional interfaces for pure C, Python, and Matlab.
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  • 6
    PCSIM is a tool for distributed simulation of heterogeneous networks composed of different model neurons and synapses. The development of PCSIM was supported by the FACETS EU project.
    Downloads: 0 This Week
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  • 7
    Simulator of virtual animals made up of biological neural networks for research in the Computational Neuroscience field.
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  • 8
    a distributed engine for abstract neural network development via natural-language programming
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