Search Results for "multi-threaded" - Page 2
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Showing 54 open source projects for "multi-threaded"
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MuLaViTo
A framework for the visualization of multi-layer networks
MuLaViTo is a multi-layer visualization framework which allows to visualize relations between multiple graphs in derived applications. Moreover, it provides helpful means like k-shortest path algorithms, running algorithms in a separate thread, ... -
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Proper is a propositionalization framework written in Java containing several algorithms for generating propositional (and also multi-instance) data from relational databases. It produces data that can be used by the WEKA machine learning workbench.
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The Multi-Worm Tracker is a population-level statistical data generator for moving objects. It combines software and hardware solutions for performing biological experiments.
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SIDoBI is an automatic summarization system for documents in Indonesian language. It is an acronym for Sistem Ikhtisar Dokumen untuk Bahasa Indonesia. SIDoBI is built based on MEAD, a public domain portable multi-document summarization system.
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Content Addressable Memory, Multi-Variate Statistics, Data Mining Includes analyzing datasets, extracting patterns, creating empirical expert system. Computes joint probabilities and implements a "belief" as the solution of an equilibrium equation
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QtStock allows to do fundamental analysis of companies and companies shares according to the National Association of Investors Corporation (NAIC). It is completely written in C++ with Qt.
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Maui is a multi-purpose automatic topic indexing algorithm. Given a document, Maui automatically identifies its topics. Depending on the task topics are tags, keywords, keyphrases, vocabulary terms, descriptors or Wikipedia titles.
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Research Assistant is a free multi-platform open source project (C++/Qt) for researchers to ease their work in classification of any kind of information. It is going to be more than just a MS OneNote analog. For now it is under development.
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Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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Java GUI to analyze one (or more, in batch mode) datasets with several feature selection methods at the same time and also performing an "ensemble" analysis. It can be easily extended to include any feature selection algorithm.
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The package implements a variety of tools for categorization of multivariate data such as boosted decision trees, bagging and random forest, bump hunting (PRIM), a multi-class learner and others.
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Breeze a multiple class model neural network development system. Network models include multi-threaded Backpropagation and Radial Basis Function Networks, for time series prediction.
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RDMS is designed to enable accurate evaluations and assessments of research papers, either on an individual, institutional, or larger public multi-institutional instances, for aid with research projects such as PhD and post-doctoral work.
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KNeTS (Knowledge Elicitation Tools) is a survey tool to create multi-agent models based on local knowledge using pattern analysis to identify rules that are iteratively validated with the informant. The final output is a knowledge-based multi-agent model
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Magstripper is a magnetic card reader and decoder that takes raw waveform information from a magnetic audio head (soldered directly to a mono audio jack) and processes it via a mic input. It also includes a multi-user door lock access control system.
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XSY# is an open source project to implement multi-formalisms such as Discrete Event System Specification (DEVS) as well as meta-heuristic search techniques such as Genetic Algorithms.
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Machine learning toolkit for unsupervised and semi-supervised clustering that demonstrates excellent results on real-world data (see Bekkerman et al. ICML-2005 and ECML-2006).
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A code for fast multi-dimensional density estimation . Instead of assuming an a-priori metric definition, it calculates a locally adaptive metric for each data point by using, a Shannon Entropy based, binary space partitioning scheme.
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MultiBoost is a C++ implementation of the multi-class AdaBoost algorithm. AdaBoost is a powerful meta-learning algorithm commonly used in machine learning. The code is well documented and easy to extend, especially for adding new weak learners.
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The bandit project is a repository of the various known algorithmic solutions for the multi-armed bandit problem. The project is also a repository of several datasets that could be used for benchmarking purposes.
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JudoScript is a general-purpose, Java scripting, multi-domain scripting tool/language. It combines the powers of declarative scripting for many modern tasks and general object/procedural programming. It is simple, intuitive, practical and powerful.
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Development of a multi platform application designed to allow the web access flow of any kind of data but keep the things simple, customizable and secure.
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Multi Channel Plotter is a generic flexible and programmable plotter. It supports channel pools and many views per channel. Every channel pool is managed by a plugin. It uses Qt as widget toolkit and Qwt as plotting widget.
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The Internet Censor is a multi-platform, Internet clustering program, for which the resulting data will be used in the creation of a non-profit content-filtering Internet Search Engine for children.
