Showing 7 open source projects for "box"

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  • 1
    Mongoose

    Mongoose

    Elegant mongodb object modeling for node.js

    ...Mongoose offers an uncomplicated schema-based solution, and comes with nifty features like type casting, validation, query building, and business logic hooks right out of the box. Mongoose also has a rich set of plugins made by the community and you can write your own to make Mongoose an even better solution for your needs.
    Downloads: 6 This Week
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  • 2
    Automatic Drawing Generation

    Automatic Drawing Generation

    A canvas library for generating technical drawings

    ...Although it is possible to interact with the library directly in C (that is what the adg-demo program is doing), the canvas is expected to be used from higher level languages, much in the same way as what done in the GNOME stack. Lua bindings based on LGI are already provided out of the box. The adg-lua project, downloadable from the "Files" section, provides Lua programs and demos that leverages these bindings.
    Downloads: 2 This Week
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  • 3
    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. ...
    Downloads: 0 This Week
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  • 4
    Edward

    Edward

    A probabilistic programming language in TensorFlow

    A library for probabilistic modeling, inference, and criticism. Edward is a Python library for probabilistic modeling, inference, and criticism. It is a testbed for fast experimentation and research with probabilistic models, ranging from classical hierarchical models on small data sets to complex deep probabilistic models on large data sets. Edward fuses three fields, Bayesian statistics and machine learning, deep learning, and probabilistic programming. Edward is built on TensorFlow. It...
    Downloads: 5 This Week
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  • 5

    EasyCP

    The easiest C++ way to deal with constraints !

    EasyCP is a modern, user-friendly C++ library that lets you use constraint programming in a very natural way, taking advantage of its expressive power. Just model and let the CSP (Constraint Satisfaction Problem) solver do the job !
    Downloads: 0 This Week
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  • 6
    Graphical Microcontroller Programming (GMP) is an expert-in-a-box solution which provides an intuitive user interface giving non-professionals the chance to easily create microcontroller programs by graphical means. Vienna University of Technology.
    Downloads: 0 This Week
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  • 7
    Huinca is a DDD (Domain Driven Design) and .NET software architecture sand box. We will try to find and share best practices for .NET real world software development based on the DDD approach.
    Downloads: 0 This Week
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