Showing 4 open source projects for "reverse"

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    Autograd

    Autograd

    Efficiently computes derivatives of numpy code

    ...It can handle a large subset of Python's features, including loops, ifs, recursion and closures, and it can even take derivatives of derivatives of derivatives. It supports reverse-mode differentiation (a.k.a. backpropagation), which means it can efficiently take gradients of scalar-valued functions with respect to array-valued arguments, as well as forward-mode differentiation, and the two can be composed arbitrarily. The main intended application of Autograd is gradient-based optimization. For more information, check out the tutorial and the examples directory. ...
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  • 2
    Java Call Trace to UML Sequence Diagram
    This tool helps you to reverse engineer UML Sequence Diagram for your java program at runtime. It works well with both complex java programs (that have multiple threads) and J2EE applications deployed on Application Servers.
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  • 3
    Java reverse-engineering plug-in for Eclipse Modelling project. Depends on JDK and UML2 eclipse projects. Supports JKD5, including enums and generics.
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  • 4
    jUML is a UML diagram application capable of reverse engineering Java source code to create relationship diagrams, source code generation based on a user created UML diagram, and saving/restoring of jUML projects.
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