Showing 7 open source projects for "path-setting"

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  • 1
    TensorFlow.js models

    TensorFlow.js models

    Pretrained models for TensorFlow.js

    This repository hosts a set of pre-trained models that have been ported to TensorFlow.js. The models are hosted on NPM and unpkg so they can be used in any project out of the box. They can be used directly or used in a transfer learning setting with TensorFlow.js. To find out about APIs for models, look at the README in each of the respective directories. In general, we try to hide tensors so the API can be used by non-machine learning experts. New models should have a test NPM script. You can run the unit tests for any of the models by running "yarn test" inside a directory. ...
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  • 2
    JAGAL: Java Graph Library

    JAGAL: Java Graph Library

    Java graph library

    JAGAL provides implementations for directed graphs (weighted and unweighted) and varoius types of transition systems as well as utils for graph traversal and modification. JAGAL builds upon the Java library TOVAL (located at http://sourceforge.net/p/toval). To use JAGAL, make sure the TOVAL library is on the build path. This library uses and encloses jGraphX (https://github.com/jgraph/jgraphx). A documentation for JAGAL can be found under http://doku.telematik.uni-freiburg.de/jagal.
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  • 3
    SEPIA: Security-oriented PN Framework

    SEPIA: Security-oriented PN Framework

    Petri net framework for security related modeling and reasoning.

    ...SEPIA builds upon TOVAL (http://sourceforge.net/p/toval), JAGAL (http://sourceforge.net/p/jagal) and SEWOL (https://sourceforge.net/projects/jawl/). To use SEPIA, make sure these libraries are on the build path. SEPIA encloses the Multi Schema Validator (https://msv.java.net/) and isorelax (http://iso-relax.sourceforge.net/) The documentation can be found under http://doku.telematik.uni-freiburg.de/sepia.
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  • 4

    SPSens

    Stochastic parameter sensitivity analysis for chemical networks

    ...It is possible to estimate sensitivities with respect to system parameters using the following algorithms: finite difference methods (crude monte carlo, common reaction path, coupled finite differences); likelihood ratio methods; and regularized pathwise derivatives. Additionally the package includes basic stochastic simulation algorithms. The package includes several example networks which can be easily modified for other networks. Serial and parallel MPI implementations can be built and called from the command line. ...
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  • 5
    This is a graphical editor and code generator for Live Sequence Charts (LSCs). The code generated follows a simple execution mechanism. It shows a possible execution path. We have added a new local action construct, i.e. a self method call.
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  • 6
    Interactive PHP shell Create an interactive environment to debug php line by line. It enables you to execute php code as if it were a command line in a similar setting to bash and psh (perl shell).
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  • 7
    DARPA Urban Challenge, a C++ based platform for testing Path Planning Algorithms: An application of Game Theory and Neural Networks. Rubin, Raphael (2007)
    Downloads: 0 This Week
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