Showing 4 open source projects for "convert"

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  • 1
    CSI-Math-Notation-PostfixInfix

    CSI-Math-Notation-PostfixInfix

    Perl Lib Math Notation

    * Introduction: - This Module is a Library based Perl code. - The library provide: - Convert INFIX expressions to POSTFIX; - Convert POSTFIX expressions to INFIX and; - Perform POSTFIX context validations. - Context validation can be implemented in item selection routines or data context validation, when it is possible to identify data to be selected or ignored in some data analysis process. * NOTE: - Before any implementation, we recommend details in WIKI (https://sourceforge.net/p/csi-math-notation-postfixinfix/wiki/) or the CPAN Perl Modules, see: https://metacpan.org/pod/Math::Notation::PostfixInfix * Support: The Support Service is FREE. ...
    Downloads: 0 This Week
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  • 2
    fastjson

    fastjson

    A fast JSON parser/generator for Java

    Fastjson is a Java library that can be used to quickly convert Java Objects into their JSON representation or convert JSON strings to their equivalent Java object. Based on benchmarks it provides the best performance in both server side and Android client, and can work with arbitrary Java objects, even those pre-existing objects of which you do not have the source code. Fastjson provides a simple conversion method to turn Java objects to JSON and vice versa, with extensive support of Java Generics and arbitrarily complex objects.
    Downloads: 1 This Week
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  • 3
    MMdnn

    MMdnn

    Tools to help users inter-operate among deep learning frameworks

    MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML. MMdnn is a comprehensive and cross-framework tool to convert, visualize and diagnose deep learning (DL) models. The "MM" stands for model management, and "dnn" is the acronym of deep neural network. We implement a universal converter to convert DL models between frameworks, which means you can train a model with one framework and deploy it with another. ...
    Downloads: 0 This Week
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  • 4
    RxJavaSamples

    RxJavaSamples

    Examples of some of the most common usages of RxJava 2 and Retrofit

    ...For non-disposable tokens (tokens that can be reused), after obtaining the token, save it for repeated use, and use retryWhen() to automatically re-acquire the token when it expires, making the process of token acquisition completely transparent and simplified. Convert the returned data into a more convenient format and give it to the Observer.
    Downloads: 0 This Week
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