4 projects for "convert" with 2 filters applied:

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  • 1
    PhoneNumberKit

    PhoneNumberKit

    A Swift framework for parsing and formatting phone numbers

    Swift 5.3 framework for parsing, formatting and validating international phone numbers. Inspired by Google's libphonenumber. Import PhoneNumberKit at the top of the Swift file that will interact with a phone number. All of your interactions with PhoneNumberKit happen through a PhoneNumberKit object. The first step you should take is to allocate one. A PhoneNumberKit instance is relatively expensive to allocate (it parses the metadata and keeps it in memory for the object's lifecycle), you...
    Downloads: 8 This Week
    Last Update:
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  • 2
    React Native SVG

    React Native SVG

    SVG library for React Native, React Native Web, and plain React web

    ...The library supports many common SVG elements and properties, including shapes, paths, gradients, clipping, masking, and text-related features. It is useful for icons, illustrations, charts, logos, dynamic graphics, and animated vector UI. Developers can also convert SVG markup into React Native SVG components, which helps bring existing design assets into mobile projects. Its main value is making vector graphics flexible, scalable, and programmable inside React Native apps.
    Downloads: 0 This Week
    Last Update:
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  • 3
    MJExtension

    MJExtension

    A conversion framework between JSON and model

    A fast, convenient and nonintrusive conversion framework between JSON and model. Dictionary-to-model framework with fast conversion speed and easy to use. A large number of unit tests have been carried out on various commonly used data scenarios. MJExtension is an ultra-lightweight framework that converts between dictionaries and models. Coding all properties of a model with only one line of code. Coding (archiving and unarchiving) of all attributes of the model can be achieved with just one...
    Downloads: 1 This Week
    Last Update:
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  • 4
    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
    Last Update:
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