Search Results for "data capture framework" - Page 6
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Showing 298 open source projects for "data capture framework"
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Chordalysis
Log-linear analysis (data modelling) for high-dimensional data
===== Project moved to https://github.com/fpetitjean/Chordalysis ===== Log-linear analysis is the statistical method used to capture multi-way relationships between variables. However, due to its exponential nature, previous approaches did not allow scale-up to more than a dozen variables. We present here Chordalysis, a log-linear analysis method for big data. Chordalysis exploits recent discoveries in graph theory by representing complex models as compositions of triangular structures, also known as chordal graphs. ... -
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SITools2 is a new CNES generic tool performed by a joint effort between CNES and scientific laboratories. The aim of SITools is to provide a self-manageable data access layer deployed on already existing scientific laboratory databases.
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StatAlign
An extendable statistical multiple alignment tool.
...The models behind the analysis permit the comparison of evolutionarily distant sequences: the TKF92 insertion-deletion model can be coupled to an arbitrary substitution model. A broad range of models for nucleotide and amino acid data is included in the package and the plug-in management system ensures that new models can be easily added. -
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libVMR
VMR - machine learning library
libVMR is a class library written in Java which implements code generator for group method of data handling - GMDH. The library is intended for users, with machine learning skills. libVMR provides an effective framework for the research and development of data mining and predictive analytics. libVMR is based on the most popular neural network model with a higher generalization ability from kernel tricks - vector machine by Reshetov (VMR). -
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SFrame is a C++ framework built around the ROOT libraries for analysing particle physics data. It gives a very high performance for processing data, by allowing the user to run his/her code on a distributed farm of machines.
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BiomeNet
BAYESIAN INFERENCE OF METABOLIC DIVERGENCE AMONG MICROBIAL COMMUNITIES
...The basic idea is that the mixture components of the model (metabolic reactions, subnetworks, and networks) are shared across all groups (microbiome samples), but the mixture proportions vary from group to group. Through this framework, the model can capture nested structures within the data. BiomeNet is unique in modeling each metagenome sample as a mixture of complex metabolic systems (metabosystems). -
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PHDL
An HDL alternative to PCB graphical schematic capture tools.
PHDL is an HDL that functions as an alternative to mainstream graphical schematic capture tools. The language is compiled into a pcb netlist which can then be imported into a layout tool. We are currently on version 2.1 of the tool. We have created an eclipse plugin version of the tool as well as a standalone command-line based version. Both function identically and output a netlist that can be imported into a pcb layout tool. VHDL revolutionized how FPGA designs and digital logic... -
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Virtual instrumentation software, currently designed for modifying automobile engines. Intended as a modular framework to communicate with devices on an IO port (serial, parallel etc.) and allow a visual representation of the instrument.
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phcfM
R package for modelling anthropogenic deforestation
...It was named after the REDD+ pilot-project 'programme holistique de conservation des forêts à Madagascar'. phcfM includes two main functions: (i) demography(), to model the population growth with time in a hierarchical Bayesian framework using population census data and Gaussian linear mixed models and (ii) deforestation(), to model the deforestation process in a hierarchical Bayesian framework using land-cover change data and Binomial logistic regression models with variable time-intervals between land-cover observations. The two functions use embedded Gibbs samplers written in C++ with the Scythe statistical library to reduce computational time. -
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Pyphant is a framework for scientific data analysis. It features a flexible plugin architecture allowing for the application in many different fields. For the analysis a graph of processing steps is constructed, that can be applied via the cli as well.
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xBook
xBook is a framework for archaeological databases
xBook is a common framework for several archaeo-related database applications developed and published by Ludwig Maximilian University of Munich. All database applications that are based on the framework (called Books) provide the same basic technical features, but each application can be extended individually. Especially the Synchronisation and the User Rights Management are strong features that allow creating backups and sharing your data to collaborate with other users. ... -
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We aim to develop a transformative computational method for automatic discovery of a set of dynamical rules that best captures both state transition and topological transformation in the data of spatio-temporal evolution of a complex network.
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Framework for text mining, data integration and data analysis. Keywords: ontology and graph alignment, relation mining, warehouse, semantic database integration, bioinformatics, systems biology, microarray, Java.
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Gpf4Med
Graph Processing Framework for Medical Information
Gpf4Med is a graph processing framework for clinical data, which can leverage from previously existing medical database and Cloud computing facilities to address large-scale studies. -
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Fish4Knowledge Project
Analysis of undersea fish videos
The Fish4knowledge project investigated: information abstraction and storage methods for analyzing undersea video data (from 10E+15 pixels to 10E+12 units of information), machine and human vocabularies for detecting & describing fish, flexible process architectures to process the data and scientific queries and effective specialised user query interfaces. A combination of computer vision, database storage, workflow and human computer interaction methods were used to achieve this. ... -
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Gerbil
Hyperspectral Image Visualization and Analysis Framework
The Gerbil project moved to http://www.gerbilvis.org Please visit us there for up-to-date information and current software releases! -
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CyberMed is a framework for the development of medical simulations based on virtual reality. It includes support to visualization, haptics, deformation, stereoscopy, collision detection, user assessment, texturing, tracking and collaboration.
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locusvu
Tool for genomics;automates data retrieval from db;enables workflows
...The tool can be easily extended to add support for other databases (eg. Ensembl) or to fetch information from other tables in the database. Thus, LocusVu provides a basic framework that can be used by users and developers alike in simplifying existing workflows and creating newer ones to support data analysis in genomics. -
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RESPOND-R
RESPOND-R Test Instrument
The RESPOND-R framework is a modular, distributed data logging framework built for the purpose of studying Emergency Informatics as it relates to human robot performance during disaster responses. Tutorials can be found on the wiki: https://sourceforge.net/p/respondr/wiki/ -
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DocCO
Non-disjoint groupping of Documents based on word sequence approach
This is a GUI for learning non disjoint groups of documents based on Weka machine learning framework. It offers the possibility to make non disjoint clustering of documents using both vectorial and sequential representation (word sequence approach based on WSK kernel). All data format supported by WEKA could be used in DocCO. Data could be loaded from files, from databases or from specified URL. All the preprocessing techniques implemented in WEKA could be used before performing the learning. -
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abc-sde
approximate Bayesian computation for stochastic differential equations
...It performs approximate Bayesian computation for stochastic models having latent dynamics defined by stochastic differential equations (SDEs) and not limited to the "state-space" modelling framework. Both one- and multi-dimensional SDE systems are supported and partially observed systems are easily accommodated. Variance components for the "measurement error" affecting the data/observations can be estimated. A 50-pages Reference Manual is provided with two case-studies implemented and discussed. The methodology is based on the research article available at http://arxiv.org/abs/1204.5459 Author's research page is http://www.maths.lth.se/matstat/staff/umberto/ -
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TRAK MooD Template
Simple, no-nonsense description of Enterprise Architecture in MooD.
This template was developed by Vega Consulting Services to implement the TRAK enterprise architecture framework in MooD. It includes versions for MooD version 15 and the previous version 2010. -
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PoliMaR (Policy Matchmaker and Ranker) is a framework that permits a Semantic Web Service matchmaking and ranking based on Non-Functional Properties (NFPs).
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GenOO-HTS
A Modern Perl Framework for High Throughput Sequencing analysis
GenOO-HTS [jee-noo] is an open-source; object-oriented Perl framework specifically developed for the design of High Throughput Sequencing (HTS) analysis tools. The primary aim of GenOO-HTS is to make simple HTS analyses easy and complicated analyses possible. GenOO-HTS models biological entities into Perl objects and provides relevant attributes and methods that allow for the manipulation of high throughput sequencing data. -
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NaRIBaS
Unix-based preparation and analysis toolbox for molecular simulations
Unix-based preparation and analysis toolbox for Nanomaterials and Room Temperature Ionic Liquids in Bulk and Slab using bash scripts, Gromacs tools and Matlab functions. NaRIBaS provides a framework that decouples user input parameter and terminal based command lines. NaRIBaS does not replace a simulation software and specific analysis tools like Gromacs, but it allows iterative repetition of tasks while changing specific input parameter. The toolbox is to be understood as a scripting framework rather than a black-box software. ...
