Open Source Algorithms - Page 52

**NOTE**: The WALA project is now hosted at https://github.com/wala/WALA; the latest source code and updates are available there. The code here on Sourceforge is highly out of date and unsupported. The T. J. Watson Libraries for Analysis (WALA) provide program analysis capabilities for Java bytecode and related languages. The WALA libraries constitute an open-source release of parts of IBM Research's DOMO analysis infrastructure.

This a .net 4.5 WPF application that generates word lists, similar to crunch for linux. Just one nifty multi-threaded dictionary / code / word - list generator. It is a permutation combination engine, so it is perfect for brute force activities. Please show your appreciation and leave a review or comment, so I can find the motivation to improve it.

Wallaroo is an infinite precision constraint solving and optimization library for linear constraints over the rational numbers. It handles equalities (=), inequalities (<=, >=), strict inequalities (<, >), and disequalities (!=).

A Constraint-Based Local Search solver for the Water Retention on Magic Squares-problem. The problem is a very hard combinatorial optimisation problem, invented by Craig Knecht. More can be read about it at: http://en.wikipedia.org/wiki/Water_retention_on_mathematical_surfaces Craig's website for the problem: http://www.knechtmagicsquare.paulscomputing.com/ The solver is mainly based on the theory and ideas from my bachelor thesis, which I wrote at Uppsala University, Sweden, for the Astra Group which does research about Constraint Programming and related technologies: Water Retention on Magic Squares with Constraint-Based Local Search http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-176018 I 'm posting two solvers in this project. One written in C++ which is the fastest, at least for the heavier objective functions, and a Dynadec Comet solver which lets you easily post new constraints along with the Magic-constraints. Author: Johan Öfverstedt

Project consists in a software that reads a copied web site to your computer and generates a graph model of it. The model is based on the links, which are seen as the edges, and the pages, which are the vertices of the graph.

A handy tool with graphical interface that generate weight vectors for multi-objective optimization algorithms. source: https://github.com/ahmed-fathy/weight-vectors

Weka++ is a collection of machine learning and data mining algorithm implementations ported from Weka (http://www.cs.waikato.ac.nz/ml/weka/) from Java to C++, with enhancements for usability as embedded components.

KNN-WEKA provides a implementation of the K-nearest neighbour algorithm for Weka. Weka is a collection of machine learning algorithms for data mining tasks. For more information on Weka, see http://www.cs.waikato.ac.nz/ml/weka/.

This is a GUI application for learning non disjoint groups based on Weka machine learning framework. It offers a variety of learning methods, based on k-means, able to produce overlapping clusters. The application also contains an evaluation framework that calculates several external validation measures. The application offers a visualization tool to discover overlapping groups.

Track your friends in real time on a map.. and many more features

This application talks to a GPS device over the NMEA protocol via the WIGSGPSComm API. The first version of the WIGS application will present the GPS data in an intuitive fashion, and later releases will be further enhanced with special map support.

WiFi Direct File Transfer is a experimental app that will allow sharing of data between Android devices running Android 4.0 or higher using a WiFi direct connection without the use of a WiFi access point. This will enable data transfer between devices without relying on any existing network infrastructure

Extract a Term Concept Map from Wikipedia. It takes an export of the Wikipedia and imports it into a database. The extracted term concept map can then serve as a basis for semantically enhancing applications, with the depth and bredth of the Wikipedia.

Simple platform independent library for comparing strings against the wildcard masks.

Wilderness mapping system aimed to help automate trip planning in the Boundary Waters Canoe Area Wilderness. This is part of an undergraduate senior design project sponsored by the University of Minnesota Electrical and Computer Engineering Department.

The Wittgen programming language consists of just two instructions and one special variable name. Wittgen allows you to assign any text string to a variable of any name. It also allows you to retrieve the text assigned to that variable. Lastly, it has a special variable called “Doing Now”. Every execution step consists of retrieving the contents of Doing Now, removing the first assign found in that content and performing that assign. In the course of performing that assign any retrieve operations indicated in the text are performed before committing the assign. That is all there the system does. The driving motivation for this design is that as far as we know, the human mind supports these two instructions.It may have additional mechanisms that create new assigns, but using the results of these mechanisms requires a system built from these instructions.

WORDFIELD is an extremely fast incremental word list generator. It's meant for use with a password recovery tool such as John the Ripper or aircrack-ng.

WordSort is an algoritm written in c# specifically designed for string sorting with linear complexity. Based on partial hashing approach, provides higher performance than classical algorithms that use the comparison. WordSort includes a console application easy and intuitive to use to evaluate and compare algorithms performance. Only Ordinal sorting and non-case-sensitive sorting provided.

X For You Feed Algorithm is the open-sourced core recommendation system that powers the For You feed on X (the social network formerly known as Twitter), and it represents one of the first times a major social platform has published production-level ranking code for public review and experimentation. The repository contains the full pipeline that ingests user engagement and content candidate data, processes it through retrieval, hydration, filtering, scoring, and selection layers, and ultimately ranks posts to show what appears in a user’s feed. At its heart, the system uses a transformer-based model adapted from xAI’s Grok architecture to predict probabilities for various user actions (such as likes, replies, reposts, clicks, and negative signals), then combines those into a weighted final score that drives ranking.

The Algorithm is Twitter’s open source release of the core ranking system that powers the platform’s home timeline. It provides transparency into how tweets are selected, prioritized, and surfaced to users, reflecting Twitter’s move toward openness in recommendation algorithms. The repository contains the recommendation pipeline, which incorporates signals such as engagement, relevance, and content features, and demonstrates how they combine to form ranked outputs. Written primarily in Scala, it shows the architecture of large-scale recommendation systems, including candidate sourcing, ranking, and heuristics. While certain components (such as safety layers, spam detection, or private data) are excluded, the release provides valuable insights into the design of real-world machine learning–driven ranking systems. The project is intended as a reference for researchers, developers, and the public to study, experiment with, and better understand the mechanisms behind social media content.

X-GAT (XML-based Genetic Algorithm Toolkit) is a Java framework to optimize problems with Genetic Algorithms (GAs). Differently from other frameworks, X-GAT contains ready-to-use GAs implementations and new features can be easily added.

XMLMath evaluates mathematical, logical or textual expressions described in xml and prints the result. For example, to compute the result of 1 + 1, you would write: <add> <long value="1"/> <long value="1"/> </add>

A simple PHP parser class that scans through poorly formed html documents as if they were valid XML, and generates calls to customizable callback functions.

XNC - Extreme Numeric Compression is used to store integer or floating-point numbers in compressed, binary form. Use XNC to persist high volume scientific or plant monitoring data. Compression ratios of >15 x can be achieved over plain text formats.

XPN is relies on a non relational native XML database, where XML documents are stored in a compressed form and indices enables fast access to structure and content, thus enabling a fast evaluation of XQuery queries.