Search Results for "machine learning platform" - Page 11
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Showing 366 open source projects for "machine learning platform"
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This project aims to develop a method to identify communities in a social network according to some point of view.
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AlfaBASIC is not a specific clone of any other BASIC dialect, but is a prototype "BASIC-like" language platform originally written in Java and now ported to C#/.NET. It is experimental! Supports simple file, graphics and sound operations.
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Multi-platform execution environment for applications (and libraries) based on bytecode (compile once, run anywhere). Support for multi-language and multi-paradigm. It intends to be an open alternative to the Java and MS.NET platforms.
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raw2vmdk is an OS independent Java utility that allows you to mount raw disk images, like images created by "dd", using VMware, VirtualBox or any other virtualization platform supporting the VMDK disk format.
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This is a SQL learning tool for students written in JAVA and HTML.
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Text annotation application (Tapp) is a stand alone software component that facilitates the quick annotation of text files for the purpose of creating labelled data for training, testing, and deploying machine learning models
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GAME stays for Generic Architecture based on Multiple Experts. Its main purpose is to make easy prototyping, test and release of prediction systems. Released by IASC group, university of Cagliari
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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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Optex Analyzer is a software to analyze and compare algorithms to solve approximately optimization problems. It has a GUI that allows select a set of input files containing raw algorithm results. The analysis is shown with tables and charts.
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RILA
RILA- Pattern finder for relational data
RILA is a machine learning software for relational data. It is able to find frequent patterns in a set of connected tables stored in relational database management systems. -
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Moara is a biological text mining tool and consists of a Java library and some auxiliary MySQL databases for gene/protein training and extraction of mentions and its further normalization and disambiguation.
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Program to performing the complete cycle of neural networks analysis: preparing data, choosing neural network (CasCor, MP, LogRegression, PNN), learning of network, monitoring learning state, ROC-analysis, optimization of network parameters using GA.
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Este projeto objetiva a criação de um Toolbox para utilização de algoritmos de Computação Bioinspirada. O Toobox oferece uma vasta coleção de algoritmos de ferramentas para o projeto de Algoritmos Genéticos e Redes Neurais.
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This project will create a series of .dll files that connect with AutoCAD environment and add functionality like advanced e-learning platform, vizualisation tools and additional import/export support. This will be .NET programming.
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Sanchay is a collection of tools and APIs for language researchers. It has some implementations of NLP algorithms, some flexible APIs, several user friendly annotation interfaces and Sanchay Query Language for language resources.
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A java tool for anytime and interactive sequence mining. Aims at providing users with a way of analyzing her activity traces and extract activity schemes from them.
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Neuroph OCR - Handwriting Recognition is developed to recognize hand written letter and characters. It's engine derived's from the Java Neural Network Framework - Neuroph and as such it can be used as a standalone project or a Neuroph plug in.
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A graphical MatLab framework for estimating the parameters of, modeling and simulating static and dynamic linear and polynomial systems in the errors-in-variables context with the intent of comparing various estimation strategies.
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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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weka outlier is an implementation of outlier detection algorithms for WEKA. CODB (Class Outliers: Distance-Based) Algorithm is the first algorithm developed using WEKA framework.
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An experimental unsupervised learning method for improvising jazz melodies, based on restricted Boltzmann machines (RBMs) layered into Deep Belief Networks (forms of neural networks).
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Java based "table-top" card game interface, using Java's FX platform. Allows for multiplayer interaction, modular rules and card graphics, simple chatting, and other difficult items. Will need testing on all available systems.
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