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AVL Array is a sequence container (like std::vector or std::list) that allows fast insert/remove AND fast random access. Shiftable Files offers the usual file primitives plus fast insert/remove. Get the latest version via BZR in the Develop section.
Matho is a OS Independant Application and API for mathematical operations, features include curve sketching, calculus, iterative formulae, algebra solver, 2d/3d geometry and mechanical and statistical functionality.
UIMP(Unified Image Manipulation Program) is an OS independent Image Processing system, which provides over 1000 algorithms and supports web online, console and GUI program.
x86mph is an optimized library with vector, matrix, and vertex helpers (including an own TnL) It also contains memory helpers, and other stuff such as image processing (color inverting, changing bpp) taking advantage of x86's 3DNow!, MMX, and SSE
OAP Lite is Optimized Algorithms Platform Lite, which simplifies the process of solving some optimization problems by Genetic Algorithms. It is a highly configurable, efficient tool for user to get the optimum result without programming.
A library of data structures with a unified API, written in portable C. Lists (uni- and bidirectional), a vector, a hash, a balanced tree (RB or AVL), a heap and tuples. Memory management, clone support, error handling.
Name of Project: ShabdaShilpa OS : Linux License : GPL Language : C++ based on Qt Description : An Editor Which can translate English words to Kannada This Editor has the Capabilit
Provisio.Collections brings STL like iterator-based containers to the .Net world (especially C#). It offers fundamental sequential (vector/list/deque) and associative (tree/skiplist) containers that can be filled, traversed and modified using iterators.
The OS561 operating system based around FORTH/Java. The OS is to run on a VHDL chip OpenHardware design called the Minon, but could become available for other platforms. The unique point of the design is a revolutionary data compression technology.
A standalone, STL interface to the Torch library's Support Vector Machine (SVM). It supports single or multiclass (one vs. all) classification using dot product, polynomial, Gaussian and sigmoid kernels.