Showing 2 open source projects for "generative"

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    MarkovJunior

    MarkovJunior

    Probabilistic language based on pattern matching

    ...The system is highly flexible, supporting both deterministic and probabilistic rule application to generate diverse results. It is particularly popular in game development and generative art, where procedural content can enhance variability and creativity. The project provides tools for defining rules, visualizing outputs, and experimenting with different configurations. Its design emphasizes simplicity while still enabling complex emergent behavior. Overall, MarkovJunior is a powerful framework for procedural generation using rule-based approaches.
    Downloads: 0 This Week
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  • 2
    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: 0 This Week
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