Showing 4 open source projects for "basic-256 64bit"

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    libfc4c

    Fast containers for C language

    C dynamic containers are missing in the standard, so almost every single project in C uses different implementations. This library is yet another implementation of few basic containers, optimized for speed. A simplified interface to libarchive allows to save the containers in a compressed form. All the containers are 32bit. This greatly improves the performance (up to ~32%) and reduces the memory consumption (up to 41%) on 64bit systems. All the containers are pre-allocating buffers to reduce number of calls to malloc(). ...
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  • 2
    .Net Runtime Library for Delphi

    .Net Runtime Library for Delphi

    This is the best library to work with the .Net framework from Delphi.

    The .Net Runtime Library for Delphi (CNClrLibrary) is the best library to work with .Net framework and .Net libraries from Delphi. It is designed to provide a way to interact with applications written in anyone of the .Net languages (such as C#, Visual Basic.Net, Delphi.Net, JScript.Net, etc) from Delphi. CNClrLibrary allows Delphi to use .Net libraries without the need for registry entries, COM registrations, or changes to the .NET libraries. Competitive Advantages: - No extra dll...
    Downloads: 2 This Week
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  • 3

    .Net Native Interface Library

    The best library to work with .Net Assemblies in any programming lang.

    The .Net Native Interface Library (DotNetNativeInterface) is a native programming interface which provides a way for programming languages such as C, C++, Fortran, Assembly, Pascal, Java, VB etc to interact with applications and libraries written in any of the .Net languages (such as C#, VB.Net etc). Programmers can use DotNetNativeInterface native methods to access .Net 3rd party libraries or .Net Framework Libraries without the need for registry entries, COM registrations or changes to the...
    Downloads: 0 This Week
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  • 4
    MITIE

    MITIE

    MITIE: library and tools for information extraction

    This project provides free (even for commercial use) state-of-the-art information extraction tools. The current release includes tools for performing named entity extraction and binary relation detection as well as tools for training custom extractors and relation detectors. MITIE is built on top of dlib, a high-performance machine-learning library[1], MITIE makes use of several state-of-the-art techniques including the use of distributional word embeddings[2] and Structural Support Vector...
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