Showing 4 open source projects for "performance testing"

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    MuJoCo

    MuJoCo

    Multi-Joint dynamics with Contact. A general purpose physics simulator

    ...MuJoCo’s core architecture is performance-tuned and utilizes preallocated data structures created through an XML-based compiler. The platform includes built-in interactive visualization using OpenGL and a native graphical interface for analyzing and testing simulations. Additionally, it offers extensive utility functions for physics computation, Python bindings for developers, and a Unity plug-in to enable integration with game engines and visualization tools.
    Downloads: 13 This Week
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  • 2
    TEACUP

    TEACUP

    TCP Experiment Automation Controlled Using Python

    TEACUP automates many aspects of running TCP performance experiments in a specially-constructed physical testbed. TEACUP enables repeatable testing of different TCP algorithms over a range of emulated network path conditions, bottleneck rate limits and bottleneck queuing disciplines. TEACUP utilises a text-based configuration file to define experiments as combinations of parameters specifying desired network path and end host conditions.
    Downloads: 0 This Week
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  • 3
    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...
    Downloads: 0 This Week
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  • 4
    pySPACE

    pySPACE

    Signal Processing and Classification Environment in Python using YAML

    pySPACE is a modular software for processing of large data streams that has been specifically designed to enable distributed execution and empirical evaluation of signal processing chains. Various signal processing algorithms (so called nodes) are available within the software, from finite impulse response filters over data-dependent spatial filters (e.g. CSP, xDAWN) to established classifiers (e.g. SVM, LDA). pySPACE incorporates the concept of node and node chains of the MDP framework. Due...
    Downloads: 0 This Week
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