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Probabilistic Selection Models · Awesome GitHub Repositories

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Awesome GitHub RepositoriesProbabilistic Selection Models

Mechanisms for resolving ambiguous states by applying weighted frequency distributions derived from input data.

Distinguishing note: Focuses on the statistical weighting of choices rather than the deterministic enforcement of constraints.

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  • mxgmn/WaveFunctionCollapse

    mxgmn/WaveFunctionCollapse

    24,697View on GitHub↗

    WaveFunctionCollapse is a procedural generation engine that creates complex, non-repeating patterns by treating spatial arrangement as a constraint satisfaction problem. It functions as a stochastic solver that derives output structures from a single input example, ensuring that every element placed within a grid satisfies specific adjacency requirements relative to its neighbors. The system distinguishes itself by using an entropy-driven approach to grid collapse, where it iteratively selects the cell with the fewest remaining possibilities to trigger a cascade of logical updates. By decompo

    The system resolves ambiguous grid cells by choosing from remaining valid options based on weighted frequencies derived from the source input.

    C#algorithmcsharpgamedev
    24,697View on GitHub↗