Open Source Java Algorithms - Page 3

Alef++, is a new programming language like Perl and Lisp syntax, with a many changing in classical languages designs, her specification designed to be implemented for any VM, by default can access to any private/protected/default Java fields or methods.

Aleph is both a multi-platform machine learning framework aimed at simplicity and performance, and a library of selected state-of-the-art algorithms.

AlgART Java libraries for processing arrays and matrices are open-source product, distributed under MIT license. So, anyone can use them for free without any restrictions. Main features: 63-bit addressing of array elements (64-bit long int indexes), memory model concept (allowing storing data in different schemes from RAM to mapped disk files), wide usage of lazy evaluations, built-in multithreading optimization for multi-core processors, wide set of image processing algorithms over matrices, etc. - please see at the site. Almost all classes and methods are thoroughly documented via JavaDoc (you may read full JavaDoc at the site).

AlgoExplorer is a dynamic data structures viewer for Java. It allows the visualization of data structure of a Java program, allowing you to see how objects, handled by the algorithms, interact with each other and how they are related and linked. The project has been moved on: http://code.google.com/p/algoexplorer/

The Aim of this project is to provide a collection of reusable Algorithms which can be used effectively in different scenarios. Algorithm implementations are in Java. Objective here is to implement algorithms which should be more efficient than the JDK implementation and also to create a platform for the researchers who works on Data Mining, Encryption algorithms, ect.. to collaborate and contribute to this project.

The goal: to provide implementations of as many algorithms (sorting, searching, ...) and data structures (lists, trees, ...) as possible, accompanied by discussion of big O run time and memory limits and references to sources of further study.

The Gene Expression Programming Framework in Java. It separates the process of evolution from the process of interpretation of the chromosome, allowing the use of various schemes in the chromosome.

A complete library of high-speed java collection classes to complement existing classes with new and advanced algorithms. Complements standard J2SE classes and Jakarta commons classes

The main goal of the Analytical Customer Relationship Management system is to improve services provided to customers, and to use customer contact information for targeted marketing.

Animal is a Java-based system for visualizing and animating algorithms and data structures. Available since 1999, it is one of the established AV systems, and provides one of the largest collections of supported algorithms. Animations can be generated on the fly based on user input - for a large selection of algorithms and topic areas, including, but not limited to, the topic areas of backtracking algorithms, compression, cryptography, basing, searching and sorting.

The subgraph matching problem (subgraph isomorphism) is NP-complete. Previously, we designed an exact subgraph matching (ESM) algorithm for dependency graphs using a backtracking approach (http://esmalgorithm.sourceforge.net). We further designed an approximate subgraph matching (ASM) algorithm that is capable of detecting approximate subgraph matching based on a subgraph distance. Assume that the graph G and the subgraph Gs have m and n vertices, and km and kn edges respectively, the total worst-case algorithm complexity is O(m^n * n(n-1)/2 * km * log m). This Java implementation implements our ASM algorithm. See README file: https://sourceforge.net/projects/asmalgorithm/files/ If you use our ASM implementation to support academic research, please cite the following paper: Haibin Liu, Lawrence Hunter, Vlado Keselj, and Karin Verspoor. Approximate Subgraph Matching-based Literature Mining for Biomedical Events and Relations. PLOS ONE, 8:4 e60954, 2013.

Test of Artificial Life

Toolbox for Java developers. Includes right now only a multi-layered extensible cache system but will grow depending on requirements.

Awakener aims to provide a Java library for solving practical, real world optimisation problems by means of genetic algorithms (turnkey algorithms for >= 90% of industry problems). Awakener extends Sleepwalker with specific algorithms.

Balie - BAseLine Information Extraction (in Java) This project is not maintained anymore.

A tool to extract taxonomy from OWL ontology, translate it into Bayesian Nets and integrate uncertainty knowledge into result BNs.

A paint program where the canvas is the visual cortex of a simple kind of artificial intelligence. You paint with the mouse into its dreams and it responds by changing what you painted gradually. There will also be an API for using it with other programs as a general high-dimensional space. Each pixel's brightness is its own dimension. Bayesian nodes have exactly 3 childs because that is all thats needed to do NAND in a fuzzy way as Bayes' Rule which is NAND at certain extremes. NAND can be used to create any logical system. In this early version, I'm still working on edge detection and its understanding of the same shapes at different brightnesses. This will be a module of the bigger Human AI Net project and will be used for adding realtime intuitive high dimensional intelligence in audio and visual interactions with the user.

Beagle is Java open source framework for running and managing nondeterministic algorithms such as genetic algorithms for solving complex problems. Beagle is fully modular and maintains whole history of algorithm progress for further analysis.

Bebops ("Belief Base Operations") provides semi-revision, contraction and kernel operators for an OWL-backed Belief Base.

BigAl is a free open source and platform independent software for calculating really BIG numbers. It supports not only standard arithmetic, but also exact period determination, predefined factorials, fibonacci with seeds, factorization, nth root, etc

This project contains a solution for a Bin Packing problem solved using Genectic Algorithms. The code in the project was created as a solution for a problem in a combinatorial optimization class at the Univeridade Federal do Rio Grande do Sul (UFRGS - Brasil) in 2007.

BinBase is a software for the automatic analysis of Massspec data from LECO GC-Tofs. All code and documentation has been moved to the google code site of this project: https://code.google.com/p/binbase/ And support is provided by the company coding and more, which can be reached under: contact@codingandmore.org

This project is a highly flexible implementation of the well known bin packing algortihms: next fit, first fit, best fit, worst fit. The elements and bins may have any number of dimensions.

This is a Java-based project for complex event extraction from text and co-reference resolution. Currently the code can read BioNLP shared task format (http://2011.bionlp-st.org/) and i2b2 Natural Language Processing for Clinical Data shared task format (https://www.i2b2.org/NLP/DataSets/Main.php). Event extraction includes finding events and the parameters for an event in a text. The method is based on SVM but other ML algorithms can be adopted. The method details are explained in the following paper: Ehsan Emadzadeh, Azadeh Nikfarjam, and Graciela Gonzalez. 2011. Double Layered Learning for Biological Event Extraction from Text. In Proceedings of the BioNLP 2011 Workshop Companion Volume for Shared Task, Portland, Oregon, June. Association for Computational Linguistic