Showing 6 open source projects for "chat application in python"

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  • 1
    C++QED

    C++QED

    A framework for simulating open quantum dynamics

    C++QED is an application-programming framework for simulating open quantum dynamics in general. It has demonstrated the ability to simulate full Master equation of up to several thousand, and quantum trajectories of up to several hundred thousand dimensions. The basic idea is to allow users to build arbitrarily complex interacting quantum systems out of free subsystems and interactions (elements), and simulate their time evolution with a number of available time-evolution...
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  • 2
    Acoustic Research Tool (ART)

    Acoustic Research Tool (ART)

    Acoustic Simulation Library for Frequency and Time Domain Simulations.

    ART is a flexible simulation framework for wind instruments. It includes a growing library of modelling elements. So far bore discontinuities, branches, tone holes, cylindrical and conical tubes, Bessel horns and bent tubes are available for frequency domain modelling. In the time domain generic bidirectional propagation elements, scattering elements, fractional delays, convolution with reflection functions and general z-domain networks are available and can be described using MuParserX...
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  • 3
    vecds - Visual Editor of Crystal Defects - A QT and OSG application for visualization of atom-embedded grids.
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  • 4
    FAST Simulations

    FAST Simulations

    An Open source Analysis and SImulation Toolbox for Fuel Cells

    FAST is an Analysis and Simulation Toolbox (FAST) for Fuel Cells (FC) FAST-FC is the doctorate work of David B. Harvey and was developed with support from the U.S. DOE, Ballard, and Queen's University. Derivative works of FAST-FC include FC-APOLLO which is a forked branch of this project intended to capture the code state at the exit of the funded DOE project. FAST-FC is the open and active community branch. FAST-FC is developed and maintained by the original creator and...
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  • 5
    A toolkit in C++ and python to process both experimental and simulation data of colloidal particles. Includes among others * a multiscale particle tracking algorithm [1] whose C++ implementation is optimised for 3D confocal data. Python implementation is more versatile (2D and 3D data). * a Leica file reader, * Steindhard bond orientational order calculation * a VTK file writer 1.
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  • 6
    Human And Program Observation Simulator
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