Showing 3 open source projects for "level set methods"

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  • 1
    G2

    G2

    Interactive data-driven visualization grammar for statistical charts

    G2 is a highly interactive data-driven visualization grammar for statistical charts. with a high level of usability and scalability. It provides a set of grammar, and takes users beyond a limited set of charts to an almost unlimited world of graphical forms. With G2, you can describe the visual appearance and interactive behavior of visualization just by one statement, and generate web-based views using Canvas or SVG. We have summarized a series of story design templates from lots of real data visualization cases so that users can use them directly. ...
    Downloads: 1 This Week
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  • 2
    Facets

    Facets

    Visualizations for machine learning datasets

    ...Explore Facets Overview and Facets Dive on the UCI Census Income dataset, used for predicting whether an individual’s income exceeds $50K/yr based on their census data. The census data contains features such as age, education level, and occupation for each individual. Overview gives users a quick understanding of the distribution of values across the features of their dataset(s). Uncover several uncommon and common issues such as unexpected feature values, missing feature values for a large number of observation, training/serving skew and train/test/validation set skew.
    Downloads: 0 This Week
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  • 3
    Reworm

    Reworm

    The simplest way to manage state

    Reworm is a small React state management library designed to reduce the boilerplate often associated with actions, reducers, and state connections. It lets developers create state with a simple create function and expose it through a shared Provider. The library focuses on direct access patterns, so components can read values with get and update them with set. It also supports selectors, which help reuse derived state logic across an application. Developers can subscribe to state changes...
    Downloads: 0 This Week
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