Showing 8 open source projects for "age of"

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  • 1
    RuntimeGeneratedFunctions.jl

    RuntimeGeneratedFunctions.jl

    Functions generated at runtime without world-age issues or overhead

    RuntimeGeneratedFunctions are functions generated at runtime without world-age issues and with the full performance of a standard Julia anonymous function. This builds functions in a way that avoids eval. For technical reasons, RuntimeGeneratedFunctions needs to cache the function expression in a global variable within some module. This is normally transparent to the user, but if the RuntimeGeneratedFunction is evaluated during module precompilation, the cache module must be explicitly set...
    Downloads: 0 This Week
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  • 2
    Semantic Type Detection

    Semantic Type Detection

    Metadata/data identification Java library

    Metadata/data identification Java library. Identifies Base Type (e.g. Boolean, Double, Long, String, LocalDate, LocalTime, ...) and Semantic Type information (e.g. Gender, Age, Color, Country, ...). Extensive country/language support. Extensible via user-defined plugins. Comprehensive Profiling support. Large set of built-in Semantic Types (extensible via JSON defined plugins). Extensive Profiling metrics (e.g. Min, Max, Distinct, signatures, …) Sufficiently fast to be used inline. See Speed...
    Downloads: 0 This Week
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  • 3
    DISTOD

    DISTOD

    Distributed discovery of bidirectional order dependencies

    ... by publication date in ascending order also sorts them by age in descending order. The knowledge about order relationships is useful for many data management tasks, such as query optimization, data cleaning, or consistency checking. Because the bODs of a specific dataset are usually not explicitly given, they need to be discovered. The discovery of all minimal bODs (in set-based canonical form) is a task with exponential complexity in the number of attributes.
    Downloads: 0 This Week
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  • 4
    StellarGraph

    StellarGraph

    Machine Learning on Graphs

    ... contain people as nodes and friendships between them as links, with data like a person’s age and the date a friendship was established. StellarGraph supports the analysis of many kinds of graphs. StellarGraph is built on TensorFlow 2 and its Keras high-level API, as well as Pandas and NumPy. It is thus user-friendly, modular and extensible. It interoperates smoothly with code that builds on these, such as the standard Keras layers and scikit-learn.
    Downloads: 0 This Week
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  • 5
    ETS Offers iClassicMDM - MDM Software

    ETS Offers iClassicMDM - MDM Software

    iClassicMDM offered by ETS is a Master Data Platform for all.

    We are living at an age where homes are becoming offices, and every offices need better data management tool, data management issues are spiraling. Our passion is to offer affordable data management tools to individuals and enterprises of all size. iClassicMDM is a Master Data Management application that can run on desktop, web server or containers. It allows customers to create data model as per their business needs & expose them for collaboration through a Data Stewardship User...
    Downloads: 0 This Week
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  • 6
    Facets

    Facets

    Visualizations for machine learning datasets

    ..., 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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  • 7
    Web services to support the organization and data analysis of Age Calibration Workshops and Maturity Staging Workshops.
    Downloads: 0 This Week
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  • 8
    A tool that parses SQL Select statements and generates a diagram. The diagram shows parts of the underlying SQL directly in the diagram. For example x=30 , GROUP BY (year), HAVING MIN(age) > 18. It is easy to see cartesian joins and/or loops.
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    Downloads: 4 This Week
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