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The ThreadPool library is a simple and efficient way to manage multiple tasks in a program. It allows you to run several tasks at the same time using a pool of worker threads. 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. ...

A collection of useful Gtk# widgests including combo box, simple list, date editor, font and color picker, etc....

SilverScript is a new, platform-independent scripting language that can be used to script events in games and other applications. It is designed to be simple and easy to learn. Its API is written in object-oriented C++.

...It is implemented in a single header file, making it easy to integrate into projects. The library supports an unlimited number of arguments for event handlers, providing flexibility in event management. LibEventCpp is designed to be simple to use while offering powerful features for event-driven programming.

QJoystickManager is a cross platform joystick management system. Its written in C++ and uses SDL and the Qt framework. QJoystickManager strives to be as easy to use as possible, it implements many features that will ease the interaction between your program and the attached joysticks. This project uses Qt extensively, and as such users need to a have working knowledge of C++ and Qt basics (Signals and Slots and Qt data types).

libGo is a C++ class library containing all kinds of things that proved useful to me. Included are: - Linear algebra, using LAPACK and CBLAS - V4L(1) image grabber - Multithreading - Image containers (up to 3D) - Some simple optimisation code - Python embedding helper - Matlab interface - .. and other things, have a look at the HTML documentation! golib grew over many years, things I had use for have been added now and then. Some parts are better taken care of than others. If you find anything spectacularly wrong or badly documented, and need assistance, please drop me a line.

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 questions given the provided evidence and can even cope with multimodal densities. The library supports the most common types of densities and conditional densities, like uniform or normal densities and facilitates user defined density functions. ...