Search Results for "classification" - Page 21
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Showing 644 open source projects for "classification"
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Stockato API
Signal classification technology for mutual funds, ETFs, and stocks.
Stockato Web Services (SWS) is a collection of remote computing services, which apply Stockato’s signal classification technology to mutual funds, exchange-traded-funds, and stocks. You can build applications based on the web services such as a similarity-based search engine or a similarity-based portfolio managing system. -
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Crusisx
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ncryption is controlled under U.S. Export Control Classification Number "ECCN" 5D002 and must be simultaneously reported by email to th -
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CRUMp
A probabilistic prediction system of protein phosphorylation sites
CRUMp is based on a kernel-based learning method called Classification Relevance Units Machine (CRUM). Given an input set of protein sequences in FASTA format, the system outputs the position, residue type (S, T, or Y), and the estimated probability of each tested site being phosphorylatable. Latest downloadable files: - crump-0.2.0.tar.gz: CRUMp GNU Octave package - crump-0.2.0.zip: CRUMp MATLAB script - crumptestset.fasta: A testing dataset in FASTA format. -
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Jnews on SVM
Jnews is for judging the classification of news.
Jnews is for judging the classification of news on websites. The model of 1.0 version is based on SVM theory and the news data of NYtimes during April of 2012. -
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Iris
Iris is a web based bayes data classifier.
...The window helps using a small dataset and emulate more samples. The future versions will make an option to upload the dataset and select the features to help researchers select the best features for data classification. -
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ANDS SISS (DC4B) Project
GIS-Enabled Infrastructure for Spatially Integrated Social Science
An on-line GIS-enabled infrastructure for spatially integrated social science. A web-based open source e-research facility for social-spatial data analysis that incorporates GIS-enabled visualisation (mapping and classification) and statistical modelling capabilities. -
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Stanford Machine Learning Course
machine learning course programming exercise
The Stanford Machine Learning Course Exercises repository contains programming assignments from the well-known Stanford Machine Learning online course. It includes implementations of a variety of fundamental algorithms using Python and MATLAB/Octave. The repository covers a broad set of topics such as linear regression, logistic regression, neural networks, clustering, support vector machines, and recommender systems. Each folder corresponds to a specific algorithm or concept, making it easy... -
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mlpy
Machine Learning Python
mlpy is a Python module for Machine Learning built on top of NumPy/SciPy and of GSL. mlpy provides high-level functions and classes allowing, with few lines of code, the design of rich workflows for classification, regression, clustering and feature selection. mlpy is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License version 3. mlpy is available both for Python >=2.6 and Python 3.X. -
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Time Adaptive Self-Organizing Map
An Artificial Neural Network for Clustering, Classification, etc
This project tries to include Time Adaptive Self-Organizing Map (TASOM) implementations for solving Computational Intelligence problems such as Pattern Recognition, Computer Vision, Clustering, Active Contour Modeling, and the like. The TASOM has been originally introduced for adaptive and changing environments. Several versions of TASOM networks have been introduced. Some of them are capable of changing the number of neurons based on the problems at hand. Moreover, a binary tree version... -
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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Nen
neural network implementation in java
3-layer neural network for regression and classification with sigmoid activation function and command line interface similar to LibSVM. Quick Start: "java -jar nen.jar" -
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This Java software implements Profile Hidden Markov Models (PHMMs) for protein classification for the WEKA workbench. Standard PHMMs and newly introduced binary PHMMs are used. In addition the software allows propositionalisation of PHMMs.
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The AlexTV is a program that offers access to various television channels to watch on your computer through streaming. He has a catalog of communications links where you simply select the channel you want to watch and done without much difficulty.
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This project aims to build a suite of Natural Language Processing tools. Modules will include corpus indexing and access tools, a part-of-speech tagger, tokenisers, text classification software, etc.
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OWL Vocabulary Generator
A tool to generate OWL files from Medical vocabularies.
This tool takes native sources of SNOMED text files, LOINC text database and multi-hierachical file and RxNORM RRF files and generate OWL files meant for classification of agents of each vocabulary. -
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Ragnarok Online Site Engine (ROse) - Free Control Panel (CMS) for eAthena Ragnarok Online server Emulator. Written in PHP language. Use smarty php class for templates. contains many functions for manage eAthena dabases.
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MSDB
Microsatellite Search and Building Database
...The program not only can search pure microsatellite but also can search compound and complex microsatellite. The outputs are Microsoft Excel statistics and SQLite database file which is convenient for analysis and classification of microsatellites. The program is designed to run on Windows and Linux system as a standalone application with a user-friendly interface. -
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ThManager is a tool for creating and visualizing knowledge organization models, such as thesauri, classification schemes, glosaries and other types of controlled vocabulary in SKOS format
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ProseVis
ProseVis is a visualization tool for analyzing the sound of text.
...These features comprise sound including parts-of-speech, accent, phoneme, stress, tone, break index. ProseVis allows a reader to map the features extracted from OpenMary (http://mary.dfki.de/) Text-to-speech System and predictive classification data to the "original" text. We developed this project with the ultimate goal of facilitating a reader's ability to analyze and disseminate the results in human readable form. Research has shown that mapping the data to the text in its original form allows for the kind of human reading that literary scholars engage: words in the context of phrases, sentences, lines, stanzas, and paragraphs. ... -
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A fast, configurable faceted classification and browsing tool for large collection of unstructured data. Its major features include multi-faceted search, hit counts, term highlights and population of free text search results into facets. An AJAX app.
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Semtinel is an application framework for the semi-automatic creation, maintenance and analysis of hierarchical concept schemes (thesaurus, classification or ontology). Semtinel supports the development of new analysis methods and visualization techniques
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HSSVM(Hyper-Sphere Support Vector Machines) is a software for solving multi-classification problem, implemented by Java.
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Bioinformatics Perl extension for the analysis of antibody variable domain repertoires. Suitable for mammalian repertoire sequences obtained either by Sanger or 454 sequencing. Methods published in Glanville, Zhai, Berka et al, PNAS 2009.
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isvm: incremental svm implementation for Stephe ruiping's algorithm based on libsvm svmovoovr: implement for OVO OVR classification. pso-svm: PSO svm implementation
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This is a c-library that provides tools for advanced analysis of electrophysiological data. It features denoising, unsupervised classification, time-frequency analysis, phase-space analysis, neural networks, time-warping and more.
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RepMiner takes a graph theory approach to the classification and assembly of the repetitive fraction of genomic sequence data. Sequence lengths analyzed by RepMiner can range from full length transposable elements to low coverage sample sequence data.
