Search Results for ".net" - Page 2

Classic game solved with MinMax algorithm (full solution tree) and simple Heuristics. Specially for learning and teaching computer AI

Fiona is a tool to automatically analyze the interactional behavior of a given oWFN. It provides two techniques: it checks for the controllability of the given net by computing the interactiong graph and it calculates the operating guideline for the net.

SimMetrics is a Similarity Metric Library, e.g. from edit distance's (Levenshtein, Gotoh, Jaro etc) to other metrics, (e.g Soundex, Chapman). Work provided by UK Sheffield University funded by (AKT) an IRC sponsored by EPSRC, grant number GR/N15764/01.

CSTL is a port of the C++ STL to C# 2.0 and .NET. The library utilizes C# generics, anonymous methods, and enumerable iterators, while alleviating some of C#'s deficiencies (no C++ templates, limited operator overloading, no C++ style iterators, etc).

NOD-MP stands for not another data-mining project. It is educational and scientific software to utilize data mining clustering algorithms through a user-friendly interface.

Bookinex is an application designed to index your collection of books, it supports scanning of Barcodes to recognize ISB Numbers and querying web services to collect data.

Hasher is a .NET class library to help programmers implement standard hashing and checksum algorithms into their own software. Written entirely in C#, Hasher providers a uniform interface to easily use any of the algorithms contained within this library

The NSketch library provides implementations of most common sketch-based algorithms (histograms, quantile, frequent items, bloom filter ...). The library is written in C# for .Net.

A set of useful non-visual C#/.NET classes

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.

A neural net module written in python. The aim of the project is to provide a large set of neural network types accessed by an API that is easy to use and powerful.

Isometric engine for 2D rendering. Supported frameworks: * SDL * XNA * easily extendable to other frameworks Features: * diamond maps of different width and height * user defined tile size (via rendering metrics) * supports 1 static tile + and any amount of movable elements per cell * z-order display * supports animated tiles * supports zooming (ability to define tilesets for different rendering metrics and switch between them) * supports multi-cell elements

Non backtacking NFA implementation of regular expressions for dot net.