Search Results for "multi-threaded" - Page 12
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Showing 281 open source projects for "multi-threaded"
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A full featured, object-oriented, multi-platform C# wrapper for the curses terminal control library.
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Multi-Queue ThreadPool 4 FSM
Library for sequential execution of tasks in multithreaded environment
A special Multi-Queue ThreadPool for Finite State Machines that would execute the tasks in sequential order. -
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HexMUD
A generic C++ MUD server featuring a strategy-style hexagon map
Sourceforge is no longer being updated! While not specifically a MUD project, this project's basic concept has merged into another that can be found here: https://github.com/nicrohobak/Toolbox Along with an additional, related project of extreme interest: https://github.com/nicrohobak/AnsiGL ------------------------------------------------------------ HexMUD aims to be a fully-featured, game-system agnostic MUD server with a centrally focused feature of an added top-down... -
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LibThreadPool
Library for easy multithreading programming
...The entire implementation is provided in one single header file, making it extremely portable and hassle-free to integrate into your project. Whether you are building a small project or a larger application, this library offers the necessary tools to efficiently handle multi-threading with minimal setup. Features - Lightweight: Just include and use—no builds or installations needed. - Portable: Built with C++11, adapted with Linux and other platforms. - Easy to Use: Intuitive API for seamless integration. -
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Numerikus is an attempt to build a set of numerical libraries written in C/C++, Fortran, Java and C# for single processor and multi-core processors. It wil have from basic functions to Linear Algebra solvers and ODE's and PDE's methods.
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DBNL
Dynamic Bayesian Network Library
DBNL is a cross-platform library that offers a variety of implementations of Bayesian networks and machine learning algorithms. It is a flexible library that covers all aspects of Bayesian netwoks from representation to reasoning and learning. It allows you to create simple static networks as well as complex temporal models with changing structure. It can handle highly non-linear dependencies between multivariate random variables. The particle based inference can answer arbitrary...
