Open Source Algorithms - Page 21

The library currently consists of an implementation of collision detection of static/moving ellipsoids that exploits frame-coherence using separating planes. Please visit http://www.cs.hku.hk/GraphicsGroup/cd.html for paper references.

Emergent Mercenary is a 3D FPS with strategy overtones, and an excerise in emergent gaming. It should be easy to setup a scenario (e.g. hunt criminal) just by placing characters with certain AI into the game and see them interact.

Create and use your own personalized, yet very secure, encoding script!

The goal of this project is to implement a graph layout / network visualization algorithm as a Java plugin for Cytoscape (http://cytoscape.org/), using a recently published relative entropy optimization based method, called Unified Data Representation (Kovács IA et al. Sci Rep. 2015). If you are using the plugin, please cite: Ágg B, Császár A, Szalay-Bekő M, Veres DV, Mizsei R, Ferdinandy P, Csermely P and Kovács IA (2019) The EntOptLayout Cytoscape plug-in for the efficient visualization of major protein complexes in protein-protein interaction and signalling networks, Bioinformatics 35(21):4490-4492 https://academic.oup.com/bioinformatics/article/35/21/4490/5475596 Our detailed Tutorial on the use of the plugin: https://suopte.com/entopt_2_1_tutorial_20200518.pdf A video about the version 2.1: http://suopte.com/entopt_2_1_tutorial_video.mp4 Don't hesitate to send any questions, comments or bug reports also to agg.bence {at} med.semmelweis-univ.hu.

This project is no longer maintained. Instead use my Java util lib: http://sourceforge.net/projects/util-lib/

* EpFamvirproject in this site is not maintained anymore. * The project has been moved to https://github.com/juhgiyo/EpFamvir EpFamvir is a Visual C++ Software framework that supports data-intensive distributed applications.. The features includes: - Famvir Distributed File System - Job Tracker and Task Tracker: the MapReduce Engine For detailed documentation, please download this full document (EPFamvir Documentation.chm) from the "Downloads" Section. * If the documentation file is not visible after finishing download. Solution 1. ** Double-click the .chm file. ** In the Open File-Security Warning dialog box, click to clear the Always ask before opening this file check box. ** Click Open. Solution 2. ** Right-click the CHM file, and then click Properties. ** Click Unblock. ** Double-click the .chm file to open the file.

* EpLibrary project in this site is not maintained anymore. * The project has been moved to https://github.com/juhgiyo/EpLibrary EpLibrary is a utility library for Visual C++. The features includes: - Math Framework - Enhanced Binary Search - Sort - Stream Framework - Container Framework - Simple Debugger Framework - FileSystem Framework - Other Frameworks - Server/Client Template Framework - System Framework - Thread System For detailed documentation, please download this full document (EPLibrary Documentation.chm) from the "Downloads" Section. * If the documentation file is not visible after finishing download. Solution 1. ** Double-click the .chm file. ** In the Open File-Security Warning dialog box, click to clear the Always ask before opening this file check box. ** Click Open. Solution 2. ** Right-click the CHM file, and then click Properties. ** Click Unblock. ** Double-click the .chm file to open the file.

Ertha is an open source GIS whose main focus is to guarantee easy extensibility and straightforward integration of custom modules. It provides basic geographic rendering and topologic analysis and exposes the main data structures loaded from shapefiles.

Evolutionary computation library and benchmark utility. Integer encoded genetic algorithm.

EvoTrader is a stock picking platform that utilizes genetic programming to evolve rules for generating stock trading signals.

Evokit is an integrated environment for developing evolutionary computation algorithms. It is built around Java and the Eclipse platform, and will support several different libraries including ECJ.

A self-contained, fully configurable Java "game" to simulate multi-species evolution. Design species by optionally specifying every attribute; modify any or all environmental settings; let them loose to eat, fight, procreate, die, and Evolve!

ECF is a framework intended for application of any type of evolutionary computation (GA/GP, DE, Clonalg, ES, PSO, ABC, GAn, local search...). It offers simplicity for the end-user (parameterless usage, tutorial) and customization for experienced EC practicioners.

A Julia package for evolutionary & genetic algorithms. The package can be installed with the Julia package manager.

Evolve is a simulation written in java that uses the Genetic Algorithm to evolve intelligent agents acting in a rich environment.

Don't hard-code data-structures for Artificial Intelligence (AI). Evolve them (and control flow) as cycles of arrays in arrays with size constraints based on other array sizes (at specific index) in terms of range, multiply, exponent, or permutation. No working code yet. Whats there now is an extension of GigaLineCompile which would become part of Human AI Net, but there are other projects to finish before I can come back to this one.

The subgraph matching problem (subgraph isomorphism) is NP-complete. We designed a simple exact subgraph matching (ESM) algorithm for dependency graphs using a backtracking approach. The total worst-case algorithm complexity is O(n^2 * k^n) where n is the number of vertices and k is the vertex degree. We have demonstrated the successful usage of our algorithm in three biomedical relation and event extraction applications: BioNLP 2011 shared tasks on event extraction, Protein-Residue association detection and Protein-Protein interaction identification. This Java implementation implements our ESM algorithm. See README file: https://sourceforge.net/projects/esmalgorithm/files/ If you use our ESM implementation to support academic research, please cite the following paper: Haibin Liu, Vlado Keselj, and Christian Blouin. Exploring a Subgraph Matching Approach for Extracting Biological Events from Literature. Computational Intelligence, 2013.

This is a general purpose expression evaluator which has abilities to evaluate mathematical expressions having operators: +, -, *, /, < , <=, >, >=, ==, !=, &&, ||. The enhancement to support all the other arithmetic operators is under development.

Set of C# classes for expression parsing and evaluation. Expressions may have user-defined operators, user-defined variables of any type, user-defined functions, user-defined classes with methods and properties, object constants, arrays and collections with indexes, assignment to variables and properties of objects. Supports Unicode. Name of variables, functions, methods and properties, string constants may have surrogates, diacritical combining marks.

"Extended Data Types for PHP" is a collection of PHP5 classes, which provide easily usable common data types like Lists, Trees or Graphs. Installation will be possible via an PEAR Channel or as local library in a website's code base.

XSWAG (Extended SourceWare Archive Group) is a revival project for the famous SWAG code archives for the Pascal programming language. This project is open to every Pascal/Delphi programmer who wishes to contribute to the global Pascal knowledge base. Current version (testing 0.9) features : - a reader program : allows users to browse through the code archives, organizes them by type and operating system and updates the archives from multiple XSWAG servers. - a server daemon : maintains a list of archives and provides updates to clients. - a creator program : to quickly make or modify an XSWAG archive file, add/remove sources and update sources info (os, compiler, architecture, contact info, author name, subject).

An extensible and compressed trie data structure written in C++.

ExtraDix is a sorting algorithm based on Radixsort. It is faster than Quicksort, stable, realized in C and can sort by any basic data type. Testing was done with 1 million data records sorting char, short, int, long, float, double and strings.

FATE (Federated AI Technology Enabler) is the world's first industrial grade federated learning open source framework to enable enterprises and institutions to collaborate on data while protecting data security and privacy. It implements secure computation protocols based on homomorphic encryption and multi-party computation (MPC). Supporting various federated learning scenarios, FATE now provides a host of federated learning algorithms, including logistic regression, tree-based algorithms, deep learning and transfer learning. FATE became open-source in February 2019. FATE TSC was established to lead FATE open-source community, with members from major domestic cloud computing and financial service enterprises. FedAI is a community that helps businesses and organizations build AI models effectively and collaboratively, by using data in accordance with user privacy protection, data security, data confidentiality and government regulations.