Showing 3 open source projects for "memory management"

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    .NET for Apache Spark

    .NET for Apache Spark

    A free, open-source, and cross-platform big data analytics framework

    .NET for Apache Spark provides high-performance APIs for using Apache Spark from C# and F#. With these .NET APIs, you can access the most popular Dataframe and SparkSQL aspects of Apache Spark, for working with structured data, and Spark Structured Streaming, for working with streaming data. .NET for Apache Spark is compliant with .NET Standard - a formal specification of .NET APIs that are common across .NET implementations. This means you can use .NET for Apache Spark anywhere you write...
    Downloads: 1 This Week
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  • 2
    Fin-Plus

    Fin-Plus

    Real-time component framework

    Beta Framework with a bespoke Fintech design pattern for Investment Banks and Fund Managers provides structure and real-time components for pricing, trade processing, P&L and risk applications. Investment Banks and Fund Managers have numerous applications, our objective is to normalize these applications providing a real-time Technical Debt free, highly Scalable, Agile framework with better Project Silos. Remove costly fixed layers with a Template Driven Design in-memory queryable...
    Downloads: 0 This Week
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  • 3
    neural network designer

    neural network designer

    a dbms for neural nets. Chatbots, DTrees, random forests, n-grams,...

    This project consists out of a windows based designer application and a library (that can run on multiple platforms, including android) together with several demo applications (including an MVC3 chatbot client and an android application). It is probably best compared to a database management system, but for neural networks instead of relational data. As such, the library is optimized for handling any type of data-size by using advanced streaming and caching algorithms. With the designer,...
    Downloads: 2 This Week
    Last Update:
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