Search Results for "multi-threaded" - Page 2
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Showing 44 open source projects for "multi-threaded"
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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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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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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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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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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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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.
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JNeuron is an analysis tool for multi-neuronal spike train analysis. The tool will allow scientists to organize their spike train data analysis into projects. The tool will implement standard spike train analysis algorithms and also datamining algorithms
