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  • 1
    MagicMirror²

    MagicMirror²

    Modular smart mirror platform with a list of installable modules

    ...The core of MagicMirror² contains a strong API which allows 3rd party developers to build additional modules. Modules you can use. Modules you can develop. Read our extensive documentation to find out everything you want to know about the MagicMirror² project. The full API description allows you to build your own modules. On the forum you will find a big list of MagicMirror² enthusiasts. Share your ideas, ask your questions and get support. The perfect place for you to start. MagicMirror² has an extensively documentated API. ...
    Downloads: 1 This Week
    Last Update:
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  • 2
    ml.js

    ml.js

    Machine learning tools in JavaScript

    ...If you are working with Node.js, you might prefer to add to your dependencies only the libraries that you need, as they are usually published to npm more often. We prefix all our npm package names with ml- (eg. ml-matrix) so they are easy to find.
    Downloads: 0 This Week
    Last Update:
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  • 3
    KoboldAI

    KoboldAI

    Your gateway to GPT writing

    ...No matter if you want to use the free, fast power of Google Colab, your own high end graphics card, an online service you have an API key for (Like OpenAI or Inferkit) or if you rather just run it slower on your CPU you will be able to find a way to use KoboldAI that works for you.
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    Downloads: 215 This Week
    Last Update:
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  • 4
    NN-SVG

    NN-SVG

    Publication-ready NN-architecture schematics

    Illustrations of Neural Network architectures are often time-consuming to produce, and machine learning researchers all too often find themselves constructing these diagrams from scratch by hand. NN-SVG is a tool for creating Neural Network (NN) architecture drawings parametrically rather than manually. It also provides the ability to export those drawings to Scalable Vector Graphics (SVG) files, suitable for inclusion in academic papers or web pages. The tool provides the ability to generate figures of three kinds: classic Fully-Connected Neural Network (FCNN) figures, Convolutional Neural Network (CNN) figures of the sort introduced in the LeNet paper, and Deep Neural Network figures following the style introduced in the AlexNet paper. ...
    Downloads: 1 This Week
    Last Update:
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