Search Results for "data analysis" - Page 52
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Showing 2696 open source projects for "data analysis"
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Devanagari OCR
Devanagari Optical Character Recognition, Annotation tool
The project has source code and data related to the following tools: 1. Optical Character Recognition. Recognize machine printed Devanagari with or without a dictionary. 2. Document Image Analysis. Automatic page segmentation of document images in multiple Indian languages. Identifies pictures, lines, and words in a document scanned at 300 dpi. 3. Multi-lingual annotation. -
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A set of Matlab functions which compute effect size statistics and (exact) confidence intervals for a wide range of data analysis situations, including two-sample-, oneway-, twoway- and contrast analyses as well as categorical data in tables.
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AnalyzeNNLS
MRI Multiple Echo T2 Analysis
Users load multiecho MRI data and draw ROIs. AnalyzeNNLS creates a T2 distribution from the averaged decay data. Regional fractions and geometric T2 times can be determined. Please reference: Bjarnason TA, Mitchell JR. JMR 206:200-4 (2010). Temporal Phase Correction included in version 2.5. If you use this functionality, please reference: Bjarnason TA, Laule C, Bluman J, Kozlowski P. JMR 232:22-31 (2013). -
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OPERA-PIPELINE
Echelle Spectro-Polarimeter Reduction Pipeline
OPERA (Open-source Pipeline for Espadons Reduction and Analysis) is an Open Source software reduction pipeline for the ESPaDOnS spectro-polarimeter at the Canada-France-Hawaii Telescope. Up-to-date documentation for OPERA, as well as tutorials on reducing data from various spectographs can be found on the ESPECTRO wiki: http://wiki.lna.br/wiki/espectro -
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wgssat_nbfgr
WGSSAT: SSR Annotation Pipeline
WGSSAT provides a Graphical User Interface pipeline to mine and characterize SSR from Whole genome data. This pipeline integrates prediction of genes, ncRNA, repeats and SSR from whole genome assembly and mapping of these predicted SSR on to the genome (classified according to genes, ncRNA, repeats, exonic and intronic region) along with primer designing and mining of cross-species amplification markers. The mining of SSRs from whole genome provides valuable information on the abundance of SSRs in various genomic regions and will also facilitate the development of markers for genetic analysis and related applications, such as marker-assisted breeding and linkage mapping. -
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DSTK - DataScience ToolKit
DSTK - DataScience ToolKit for All of Us
DSTK - DataScience ToolKit is an opensource free software for statistical analysis, data visualization, text analysis, and predictive analytics. Newer version and smaller file size can be found at: https://sourceforge.net/projects/dstk3/ It is designed to be straight forward and easy to use, and familar to SPSS user. While JASP offers more statistical features, DSTK tends to be a broad solution workbench, including text analysis and predictive analytics features. ... -
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TONIC
Analysis of neural spiking data generated by multi-electrode arrays
A neuroscience data analysis package for handling extracellular potentials recorded by multi-electrode arrays, including signal processing, event detection, feature extraction, and spike sorting. -
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MetabNet
An R package for network analysis of high-resolution metabolomics data
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JAWS - Just Another Web Scraper
A simple Web Scraper using Regular Expression or Html Agility
JAWS or Just Another Web Scraper, is part of the Data Scraping Softwares developed by SVbook, alongside JATI (Image to Text) and JAVT (Video to Text). JAWS offer easy interface to scrape data from the website using regular expression, text preprocessing, or HTML Agility Pack. -
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Epidat
Statistical data analysis
Programa multiplataforma de libre distribución para el análisis estadÃstico y epidemiológico de datos. Free distribution cross-platform program for statistical and epidemiological analysis of data. Sitio web: http://www.sergas.es/Saude-publica/EPIDAT Souceforge: https://sourceforge.net/projects/epidat/ Wikipedia: https://es.wikipedia.org/wiki/Epidat -
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SPAWNN
SPatial Analysis With self-organizing Neural Networks
The SPAWNN toolkit is an innovative toolkit for spatial analysis with self-organizing neural networks which is particularily useful for spatial analysis, visualization and geographical data mining. To run the toolkit, simply download and execute (double-click) the jar-file. Please cite: - Hagenauer, J., & Helbich, M. (2016). SPAWNN: A Toolkit for SPatial Analysis With Self-Organizing Neural Networks. -
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DataCleaner
Data quality analysis, profiling, cleansing, duplicate detection +more
DataCleaner is a data quality analysis application and a solution platform for DQ solutions. It's core is a strong data profiling engine, which is extensible and thereby adds data cleansing, transformations, enrichment, deduplication, matching and merging. Website: http://datacleaner.github.io -
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ParaNormal Data Visualiser
view any data file as an image, sound images etc..
Maybe you would like to investigate a file, by seeing it as raw data, infact photoshop etc can produce raw data files, but they wont look the same, this is pure raw data, you can visualise any file, to look for white noise patterns etc.. you have all sorts of controls -
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Command line FFT
A simple command line utility to produce an FFT/IFFT of ASCII data
Ever had a bunch of ASCII data that you would like to have a quick look at in frequency domain, but don't want to fire up some bulky analysis software package just for that? Well, I have... So I wrote this tiny tool. It is based on fftw (www.fftw.org) and boost's program options (boost.org). cli-fft is really simple: All it does is to receive ASCII data from a file or standard in, FFT it and write out the result into a file or to standard out. -
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sdmixer
A tool for 2D/ 3D multi-color super resolution microscopy
The open source software sdmixer reconstructs a TIFF image from a single molecule localization data set. The spectral demixing option allows multi color super resolution microscopy. sdmixer supports multipage TIFF images and is able to process large 3D data sets. Further features are 2D/3D convolution, histogram based contrast enhancement and nearest neighbor analysis. -
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In-Close
In-Close is a fast Formal Concept miner.
In-Close is a fast Formal Concept Miner and Tree Builder for FCA files in the cxt format and FIMI .dat files. Features include: minimum support for intent and extent, output of analysis data, output of concepts, output of reduced context using minimum support values and output of sorted cxt file (thus can convert dat to cxt format). -
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FormRead
Free OMR - OCR web sofware based on javascript and PHP
https://formread.org FormRead is a completely free OMR (optical mark recognition) web software for scanning and grading user-filled, multiple choice forms. Create your formats with any of your office or drawing tools, scan them and parameterize their coordinates in an easy way. Once you have parameterized your form, you can print many of them, give it to your students/respondents, scan and recognize them with formread, and you can finally export the data in your preferred formats... -
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ethermon
Monitor link layer traffic of a network adapter
The ethermon Linux tool is made to monitor link layer traffic of a specific NIC adapter like 'eth0' or 'wlan0'. It directly writes to 'stdout' and the raw link layer data (Ethernet frames) can be piped to other tools for deeper analysis. -
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MYRA
A collection of ACO algorithms for the data mining classification task
MYRA is a collection of Ant Colony Optimization (ACO) algorithms for the data mining classification task. It includes popular rule induction and decision tree induction algorithms. The algorithms are ready to be used from the command line or can be easily called from your own Java code. They are build using a modular architecture, so they can be easily extended to incorporate different procedures and/or use different parameter values. This project is now hosted at: https://github.com/febo/myra -
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bulbea
Deep Learning based Python Library for Stock Market Prediction
bulbea is an open-source Python library designed for financial analysis and stock market prediction using machine learning and deep learning techniques. The library provides tools for retrieving financial time series data, preprocessing market data, and training predictive models that estimate future price movements. bulbea integrates common machine learning frameworks such as TensorFlow and Keras to build neural network models capable of learning patterns in historical financial data. -
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Interactive Charts
A simple web-based interactive chart
This project develops web-based interactive visualisation to support the analysis and monitoring the data from the comprehensive system dynamics and agent based simulation. This work visualise the data via classical charts and graphs in an interactive way. The web-based platform enables upload csv files, mapping and display the attributes based on user’s preference -
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CoRoPa stands for Computational Rough Paths. The aim of CoRoPa is to provide a software framework for various ideas related to Rough Path Theory, including rough differential equations and the digital description of serial data streams.
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Egonet is a program for the collection and analysis of egocentric network data. It helps you create the questionnaire, collect data, and provide general global network measures and data matrixes that can be used for further analysis by other software. Source code is hosted at http://github.com/egonet/egonet.
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Mobile Tracking Processor
An easy way to remove noise from mobile telemetry data
This program takes a .txt input file containing the raw output from a Lotek SRX800 receiver and removes false detections based on a user-provided .csv of tagging data. -
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BWEM
Fast and robust map analyser for Brood War.
Brood War Easy Map is a C++ library that analyses Brood War's maps and provides relevant information such as areas, choke points and base locations. It is built on top of the BWAPI library. It first aims at simplifying the development of bots for Brood War, but can be used for any task requiring high level map information. It can be used as a replacement for the BWTA2 add-on, as it performs faster and shows better robustness while providing similar information.