Open Source Mac Algorithms - Page 38

sdf4j is a Java framework to manipulate Static Dataflow graphs (SDF).

a first work algorithm trials to implement a compromise between distributed and centralized version control system.part of research project,it's only a simulation. no real networking is implemented ,only virtual random signal are imaginary produced.

This library is a lightweight implementation of genetic algorithm, contains the most popular types of chromosomes and the basic algorithms for selection, elitism, crossing and mutation.

The simpliZia-program implements the simplex-algorithm and is designed to help students of Operations Research to understand and learn the algorithm. This is a german project, source and program are actually written in german.

A base set of libraries. Boilerplate type code and algorithms. Currently skuttil (Java util & parsing code) and searKit (generic Java search framework).

This application implement an approach for doing keyword based search over semi-structured data available in HTML pages.

Small software suite for text string manipulation using well-known algorithms. Coded for academic purposes.

A very fast JavaScript library for geospatial point clustering for browsers and Node. supercluster supports property aggregation with the following two options. Map, a function that returns cluster properties corresponding to a single point. Reduce, a reduce function that merges properties of two clusters into one.

TAROT is a easy-to-use framework for Monte Carlo simulations in python. Calculations between different kinds of randomly distributed numbers are made as easy as basic arithmetics. Tarot provides an interactive graphical interface for interpretation.

this library implements distributing algorithms for genuine computational POJOs (aka. jobs dispatching). it deals with reliability, synchronization and ordering. it has well defined api targeted at easy integration within existing code.

an educating tool generating heightmaps (heightmap terrains) with various algorithms, teaching how they work and how to use them, and letting you very easily try your own ideas

breve is a free, open-source 3D multi-agent simulation package designed for simulating decentralized systems and artificial life.

This is a completely free (as defined by the Free Software Foundation), fast implementation of a Base64 coder for Java developers as replacement for the SUN proprietary library

Java library offering theory of sets/set theory functionality (complement, intersection, symetric difference, union, cartesian product and powerset). There's also an ant task/ant tasks included that provides the library's functionality

Project Tokaf is an general implementation of top-k algorithm. It provides interfaces for all modules that are needed. It also features user preferences module, for computing new preferences and manipulating existing ones.

The tracking.js library brings different computer vision algorithms and techniques into the browser environment. By using modern HTML5 specifications, we enable you to do real-time color tracking, face detection and much more, all that with a lightweight core (~7 KB) and intuitive interface. To get started, download the project. This project includes all of the tracking.js examples, source code dependencies you'll need to get started. Unzip the project somewhere on your local drive. The package includes an initial version of the project you'll be working with. While you're working, you'll need a basic HTTP server to serve your pages. Test out the web server by loading the finished version of the project. The main goal of tracking.js is to provide those complex techniques in a simple and intuitive way on the web. We believe computer vision is important to improve people's life, bringing it to the web will make this future a reality a lot faster.

Procedural content generation of deterministic and complex entities, with properties and other entities inside, defined by an editable XML file, along with a framework to simulate actions, compositions, and interactions of entities.

value

tsfresh is a python package. It automatically calculates a large number of time series characteristics, the so called features. tsfresh is used to to extract characteristics from time series. Without tsfresh, you would have to calculate all characteristics by hand. With tsfresh this process is automated and all your features can be calculated automatically. Further tsfresh is compatible with pythons pandas and scikit-learn APIs, two important packages for Data Science endeavours in python. The extracted features can be used to describe or cluster time series based on the extracted characteristics. Further, they can be used to build models that perform classification/regression tasks on the time series. Often the features give new insights into time series and their dynamics.

Фреймворк для работы с эволюционными алгоритмами, разрабатывается в Уральском государственном университете.

Provides: A tool collection for array orientated programming under Linux and Unix operating systems. Main subjects: Handling text- and numeric arrays, mainly stored in shell variables. Furtheron, some useful arithmetic solutions will be provided.

Utilities to check different Spain/Spanish documents formats as NIF and CIF.

Very soon, development of vectorFormat will be resumed.

Individual collection of operational Tcl packages which employ functional programming principles including currying and lambda expressions. Also set and monad structures and algorithms from Knuth, and a Chu Space Calculator with an efficient implementation of the -o implication operator which enumerates the continuous functions from one space to another.