Search Results for "data capture framework" - Page 2
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Showing 53 open source projects for "data capture framework"
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Ship Lock Scheduling
Scheduling lockages at ship locks with several parallel lock chambers
This Java software includes algorithms of combinatorical optimization for the NP-hard offline ship lock scheduling problem. Solutions and performed computations can be displayed graphically. Besides, there is a framework for generating test instances and running these in parallel, as well as R/JGR code for statistical evaluation. Some tools for estimating the quality of calculated solutions will be further improved. Initially the software was developed within a project of TU Berlin regarding... -
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frameworkforwebdataanalytics
This repository is from my degree project titled "Framework for Web Data Analytics"
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Open Cezeri Library
Effective Linear Algebra and Computer Vision Library with JAVA
OCL stands for Open Cezeri Library (yet another linear algebra and matrix library). This library provides rapid coding as matlab ease of use. To learn for library please try to use test examples at OpenCezeriLibrary\test\test. It is originally developed at el-cezeri laboratory of Siirt University, in order to establish generic framework of reusable components and software tools for machine vision, machine learning, AI and robotic applications. Currently, it holds following main concepts 1-... -
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Perl OBD-II Logger
A Perl program for logging OBD-II PID data
The goal of the Perl OBD-II Logger project is to create a flexible and efficient application that can capture and log OBD-II Mode 0x01 PID data from an automotive scantool. It is designed with accurate and efficient PID data logging in mind, and provides NO support for reading or resetting diagnostic trouble codes. By default, the output log file contains time-stamped PID values in a simple Comma Separated Values (CSV) format that can be readily imported into popular data analysis or spreadsheet applications. ... -
Error to trace to log to deploy. One click. No SSH.AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
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chipexo
model based analysis of ChIP-exo data
Here we developed a novel analysis framework named MACE (model-based analysis of ChIP-exo) dedicated to ChIP-exo data analysis. MACExo has the following four steps: 1) sequencing data normalization and bias correction; 2) signal consolidation and noise reduction; 3) single nucleotide resolution border detection using Chebyshev Inequality; and 4) border matching using Gale-Shapley’s stable matching algorithm. -
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TrollEditor
Editor of virtual worlds.
...It is based on Ogre3D (graphics engine), Bullet (physics engine), PhysX (physics engine), OpenAL (3D sound and music), OpenCV (image analysis and camera model) and Boost (threading and python binding). It uses Python for scripting, as well as built in simple scripting language. Some features: - built in multiplayer - incorporating data from different sensors (IMU, AHRS, Razer Hydra) - image server/client - built in support for motion capture data analysis - path finding using data from physics engine (backwave propagation algorithm) - built in XML parser - graphical world editor - plugins system (C++) -
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ckon
automatic build tool for ROOT data analysis software
ckon is a C++ program/tool which automatically takes care of compilation, dictionary generation and linking of programs and libraries developed for data analyses within the CERN ROOT analysis framework. This includes parsing include headers to figure out which libraries the main programs need to be linked to. It uses automake/autoconf to be platform independent and GNU install compliant. In addition, m4 macros are automatically downloaded and the according compiler flags included based on a list of boost libraries provided in the config file. -
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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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Code Runner is a powerful framework for automating the running and data analysis of large codes and simulations, working anywhere from laptops to HPC clusters.
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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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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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xpython
Python lib for machine learning and intelligent control
A framework and several plugins used for data analysis by using machine learning and intelligent control in not only web and network but also the computer science and clinical medicine even the space. -
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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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MolBioLib
C++11 framework for rapid develop and deploy of bioinformatic tasks.
MolBioLib is a compact, portable, and extensively tested C++11 software framework and set of applications tailored to the demands of next-generation sequencing data and applicable to many other applications. MolBioLib is designed to work with common file formats and data types used both in genomic analysis and general data analysis. A central relational-database-like Table class is a flexible and powerful object to intuitively represent and work with a wide variety of tabular datasets, ranging from alignment data to annotations. ... -
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PL-DAS
Port Logistics Data Analysis System using Process Mining
This project is for analyzing operational data from container terminal, applying process mining and port logistics domain knowledge. This project is found by Total Soft Bank, Ltd. and Busan National University, based on ProM framework (http://www.promtools.org) which is also an open source project. This project is sponsored by NIPA (National IT Industry Promotion Agency), Korea. -
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ROOTlib
C++ lib, that provides access to multiple ROOT routines (root.cern.ch)
This C++ lib is used and created to provide easy methods based on ROOT (a CERN data analysis framework). It was developed for use in practical courses but is not limited to. In addition it is ported step by step into Python. -
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A collection of tools for working with the comparative data analysis ontology including import/export facilities for common phylogenetic file formats, and also a triple-store framework.
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IDA intelligence data analytics is an application framework for analysing intelligence data using php and javascript web application frameworks. The PHP framework is based on KohanaPHP and the Javascript framework is based on JQuery.
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GNUexp is a GNUstep/Cocoa framework and a collection of tools helping you to plan, develop, and administer applications associated with visual psychophysics, experimental psychology and statistical data analysis.
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Java OpenCL Process Virtual Machine. Spring IoC based framework for complex data analysis with OpenCL computing.
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A software framework. The goal is to create an open source framework for data analysis and operations for the petroleum industry..
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ModuleFair is a generic, module-based framework upon which to quickly build anything from data analysis programs to game level editors. This project is no longer maintained.
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bitlog is a cookie-based web stats framework written in PHP. Visits, Pageviews, Unique Visitors etc. are loged in a MySQL db. Administrators can perform complex data analysis regarding a website traffic -a basic set of detailed reports is included.
