Open Source Algorithms - Page 27

Sounder is a spell checker that allows user to enter a word as they think it should sound not as they think it is spelled. A list of similar sounding words is returned to the user with the correct spelling.

An open source REPL (Read - Eval - Print Loop), made just for fun. It was initially developed by MrMojoRisin5. Uses Python 2.7.4.

SourceAFIS is a software library for human fingerprint recognition. It can compare two fingerprints 1:1 or search a large database for matching fingerprint. It takes raw fingerprint images on input and produces matching score on output. Click the website link above for more info.

The Spiffy framework is a collection of often used helper methods and utility classes used in industry. Such methods and classes solves existing and re-ocuring practical problems and remedies annoying features of the Java language.

Spreadsort is a fast general-case in-place hybrid radix/comparison algorithm, which tends to be roughly twice as fast as std::sort. This library has calls to sort integers, floats, or strings, or other data types based upon integer, float, or string keys

Implements a stepped state machine, i.e. a state machine which executes a single state transition at a time. Because of this, no data, e.g. state data, can be stored between executions. Instead, any such data must be stored in persistent storage between executions. This permits operation of the state machine as a CGI program in a web server. A WSGI or fastCGI or other such web server is not required. Received symbols may be received from sources outside the state machine, or may be generated internally by the state functions.

The project objective is the development of an optimization algorithm for the problem of stowing general cargo into platform supply vessels.

StrMatch is a simple java program, created for educational purposes, that allows user to test a great part of string matching algorithms. An intuitive user interface shows each algorithm step accurately...

Project that will provide implementations in Java's Micro Edition (J2ME) platform of algorithms on strings, for exact/inexact matching, similarity distances, among others.

A "programming language" that can generate random strings. Useful for creating password, but has many other uses (it can generate IP addresses, fully random but pronounceable words, ..., anything that a string can represent). Written in C#

Struct-Pie (Structures Pie) is a set of C shared libraries to implement data structures and algorithms so that they can be used/integrated easily into C projects. LIFO & FIFO Stack, Binary Search Tree, Priority Queue and a Hash Table are implemented and included in this package. Future releases will have many other data structures. The hash table in this package uses separate chaining to avoid collision. In the "hash_table" directory, the hash table implementation uses linked lists. While in "HashBSTree" directory, a hash table with a binary tree in each index is implemented for faster lookup in large data. The stack, the tree and the hash table accept int, float and char* data type To look at the python library : https://github.com/mnoorfawi/struct-pie

Sub::Contract offers a pragmatic way to implement parts of the programming by contract paradigm in Perl.

Provides fast lookup for a Subject Based messaging product using a trie. It allows for configurable wildcard characters to replace a single or multiple subject field(s) (A.B.*.D.>). Insertion in to the tree returns a unique handle for subsequent deletion

Небольшая и быстрая библиотека написанная на javascript, которая генерирует псевдослучайные числа с практически непредсказуемым разбросом вероятности выпадения для каждого генерируемого числа, а также случайно динамическими границами диапазона псевдослучайной последовательности (для каждого генерируемого числа). Другими словами: эта библиотека ведет себя настолько не предсказуемо, что иногда выдает неопределенное значение (NaN) или бесконечность (Infinity), и почему это происходит не знает даже сам разработчик!

Sudoku Maker is a generator for Sudoku number puzzles. It uses a genetic algorithm internally, so it can serve as an introduction to genetic algorithms. The generated Sudokus are usually very hard to solve -- good for getting rid of a Sudoku addiction.

A Java API for using suffix trees with natural language and an Eclipse/SWT-based GUI for suffix tree visualization using Graphviz.

The supervised-reptile repository contains code associated with the paper “On First-Order Meta-Learning Algorithms”, which introduces Reptile, a meta-learning algorithm for learning model parameter initializations that adapt quickly to new tasks. The implementation here is aimed at supervised few-shot learning settings (e.g. Omniglot, Mini-ImageNet), not reinforcement learning, and includes scripts to run training and evaluation for few-shot classification. The fundamental idea is: sample a task, train on that task (inner loop), and then move the initialization parameters toward the adapted parameters (outer loop). Because Reptile is a first-order algorithm, it avoids computing second derivatives or full meta-gradients, making it computationally simpler while retaining good performance. The repo includes training scripts, dataset fetchers (Omniglot, Mini-ImageNet), and modules for defining the Reptile update logic, variables, and hyperparameters.

Java generic Iterator implementation to generate permutations and combinations. Uses the algorithm described here http://en.wikipedia.org/wiki/Steinhaus%E2%80%93Johnson%E2%80%93Trotter_algorithm#Even.27s_speedup and the clear description of that algorithm here: http://www.cut-the-knot.org/Curriculum/Combinatorics/JohnsonTrotter.shtml

SweenJet helps developers to create Java applications. It provides constrained models, useful Swing components (e.g. splash screen, input fields), actions, look-and-feel enhancements (e.g. themes, multi-line tooltip), and a complete preferences system. This project is no longer actively developed.

This project is intended to provide Git access to the code of the original project, TA-Lib, which uses Subversion. It is intended for system integrators wishing to use TA-Lib in their Git-managed project through Git submodules or subtrees. No actual development is being done here; all development happens in the original project.

Teeser is a java-based integration framework for engineering emergent self-organizing behavior in distributed systems. It contains tools for analysis, tuning, macroscopic probing and simulations of distributed systems. Library of tools can be extended and everybody is encouraged to provide and share its tools with the community. The main idea is to provide application designers ability to seamlessly use tools which are helpful to design self-organizing behavior. Designers can continue to use their domain tools such as favorable simulator and by pluging it into the framework can take advantage of distributed simulations in the grid, various analyzers, optimizers (particle swarm optimization, genetic algorithms, ...). See Wiki pages for more information.

The Tomographic Image Reconstruction Interface of the Universite de Sherbrooke (TIRIUS) is a Qt-based user-interface software for reconstructing 3D images from data generated by real apparatus or generated by the GATE Monte Carlo simulator.

Tina's Random Number Generator Library (TRNG) is a state of the art C++ pseudo-random number generator library for sequential and parallel Monte Carlo simulations.

Taseree has been renamed to Drools Planner and moved to JBoss.org, see http://www.jboss.org/drools/drools-planner

DOCUMENTACIÓN A PRESENTAR. 1. Memoria preliminar describiendo la tecnología a utilizar y su justificación, planificación de las tareas a realizar y distribución de dichas tareas entre los miembros del grupo. 2. Ejecutable que cumpla los requisitos establecidos en la memoria. 3. Memoria final del proyecto, en el que se incluirá: a. Descripción de la tecnología utilizada y, en el caso de que no coincida con la establecida en la memoria preliminar, justificar el cambio. b. Descripción de los costes computacionales y requisitos tecnológicos. c. Manual de usuario del programa desarrollado. FASES 1. Entrega de la memoria preliminar (límite: 24 de febrero) (1 punto). 2. Entrega del ejecutable (4 puntos) y de la memoria final (3 puntos) (límite: 23 de mayo). 3. Presentación del trabajo (2 puntos) (28 de mayo).