Showing 3 open source projects for "blocks programming"

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    TensorFlow.js

    TensorFlow.js

    TensorFlow.js is a library for machine learning in JavaScript

    ...Built on top of TensorFlow.js, the ml5.js library provides access to machine learning algorithms and models in the browser with a concise, approachable API. Comfortable with concepts like Tensors, Layers, Optimizers and Loss Functions (or willing to get comfortable with them)? TensorFlow.js provides flexible building blocks for neural network programming in JavaScript.
    Downloads: 3 This Week
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  • 2
    PyMC3

    PyMC3

    Probabilistic programming in Python

    PyMC3 allows you to write down models using an intuitive syntax to describe a data generating process. Fit your model using gradient-based MCMC algorithms like NUTS, using ADVI for fast approximate inference — including minibatch-ADVI for scaling to large datasets, or using Gaussian processes to build Bayesian nonparametric models. PyMC3 includes a comprehensive set of pre-defined statistical distributions that can be used as model building blocks. Sometimes an unknown parameter or variable...
    Downloads: 0 This Week
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  • 3
    The Java Light Component Framework (JLCF) is a framework for developing modular applications for the java language. It allows designing an application using building blocks with well-defined inputs and outputs (aka software components). Using this well-defined modular approach, the application has a clear and explicit design which facilitates the development and maintenance of a software system. JLCF focuses on usability on a simple programming model and also provides advanced features such as interceptors, callbacks and dynamic component replacement.
    Downloads: 0 This Week
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