Showing 4 open source projects for "pascal programming"

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  • 1
    AL-IV

    AL-IV

    ALFOUR Programming language. Simple, safe, power, multi-platform.

    A programming language AL-IV (ALFOUR) is a high-level imperative object oriented programming language with minimal introduction level, easy porting to any platform claiming a very high level of safety and stability, with a controllable level of code protection, high efficiency of an executable code, full independence from a target platform, minimal enter level.
    Downloads: 0 This Week
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  • 2
    Delphi : VRCalc++ OOSL (Script) and more

    Delphi : VRCalc++ OOSL (Script) and more

    Delphi : VRCalc++ OOSL & + (Paged List, TextEditor, VRAstroVision ...)

    Vincent Radio {Adrix.NT} Sources Library & Applications : Delphi C++ Java VRCalc++ C# VRCalc++ Object Oriented Scripting Language - Engine Source Pascal Code - Delphi Packages Build Prjs - VRCalc++ Scripted System Std RT Library - Guides & Docs (CHM, PDF, DOCX) - VCL & FMX (FireMonkey) Support - Script Test Code (Lang RTL VCL FMX) - Visual Stage Project : VCL & FMX Paged Lists & Iterators : Delphi C++ Java C# Multi-Dim Arrays & Direct Graph Classes : Delphi C++ Java VRCalc++...
    Downloads: 0 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 .Net libraries. ...
    Downloads: 0 This Week
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  • 4
    Neural Libs

    Neural Libs

    Neural network library for developers

    This project includes the implementation of a neural network MLP, RBF, SOM and Hopfield networks in several popular programming languages. The project also includes examples of the use of neural networks as function approximation and time series prediction. Includes a special program makes it easy to test neural network based on training data and the optimization of the network.
    Downloads: 1 This Week
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