Search Results for "python data analysis" - Page 10
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Showing 652 open source projects for "python data analysis"
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Arachne
Exploration of a Hierarchical+Functional Approach To Data Organization
This is dedicated to development of a small class for organizing data in both a traditional parent<->child hierarchy and by the functions used to generate child data nodes from parent data. The core of the project is in the class definitions contained within arachne.py, a demonstration of how this method of arranging data can be used to solve a relatively interesting problem may be found in test.py -
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Darwin 2: Java Framework for Evolutionary Computation (genetic algorithm, GA). A true framework with out-of-the-box functionality and extensibility of all classes. Interface-based pattern with dependency-injection to configure components.
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NeatTools is an object oriented visual programming application which allows users to create data flow networks, read sensors, and display and log data. See http://neattools.org and http://www.neattools.org/wiki for more information.
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SkyTracer is a desktop software intended for data collection in radioastronomical observations, as well as data collection for other uses. It's interface aims to be rich and easy to use. Data collection can be achieved by one of these devices: PICADC (free Microchip PIC solution developed by me [will make publicly available soon]), MC Measurement Computing (MCC) board or any Sound Card with Line In or Mic input (used for spectral analysis).
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EPANET-RTX
The EPANET Real Time Extension
** This project has moved to GitHub. ** ** https://github.com/OpenWaterAnalytics/epanet-rtx ** -
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The Self-Organizing Map Maker for Education and Research. Features include 3D-visualization of the training process, various 2D and 3D map topologies, easy extensibility to additional topologies.
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EyeMap is a visualization and analysis tool for text reading eye movement data. It can process Unicode, proportion/non-proportion and spaced/unspaced reading materials, which supports various languages and experiment methods.
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ScreeningAssistant 2 is a modular software dedicated to perform various simple and advanced chemoinformatics analysis around chemical libraries.
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BikeVE
A tool for estimating CdA and Crr from Garmin .tcx files.
A tool for estimating CdA and Crr from Garmin .tcx files. -
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JBoost is a simple, robust system for classification. JBoost contains implementations of several boosting algorithms in an alternating decision tree framework. In addition, JBoost provides extensible software for adding more learning algorithms.
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GAMES ESMI
The Energy Sensing and Monitoring Infrastructure of the GAMES project
This is part of the GAMES Project, which consists of a set of innovative methodologies and Open Source ICT tools for designing and managing energy efficiency in IT Service Centres. The ESMI is the monitoring and sensing infrastructure which allows the fine-grained measurement and provides both an event-based and a real-time stream of data conveying information about the energy consumption in the key points of the overall system. It is completed by a set of Nagios plugin and an assessment... -
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Sorting Algorithms
Searching and Sorting algorithms
Selection Sort, Quick Sort, Merge Sort, etc Data analysis and efficiency. -
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HackerEX
Free tool designed to make client side hacking easy
Free tool designed to make client side hacking easy. ALL actions this software takes are user initiated so we take no responsibility for any damaged dealt to software, data or hardware. Codelists found on the web are the responsibility of both the user and the original hacker. -
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PyPedal is a Python module that provides tools for the manipulation of pedigrees, simple visualization of pedigrees, and the calculation of measures of genetic diversity from pedigrees.
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CRFSharp
CRFSharp is a .NET(C#) implementation of Conditional Random Field
CRFSharp(aka CRF#) is a .NET(C#) implementation of Conditional Random Fields, an machine learning algorithm for learning from labeled sequences of examples. It is widely used in Natural Language Process (NLP) tasks, for example: word breaker, postagging, named entity recognized, query chunking and so on. CRF#'s mainly algorithm is the same as CRF++ written by Taku Kudo. It encodes model parameters by L-BFGS. Moreover, it has many significant improvement than CRF++, such as totally... -
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Ruleminer is an experimental tool for performing various data-mining tasks, especially focused on searching for association rules. The aim is to research the association rules mining process and to develop new approaches for solving the related problems.
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HeWIT helps you create and fill out forms. It tells you if you've missed anything or made any mistakes. You can then send the form over email, upload to a web site, or pass it by memory stick to whoever needs it next.
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PyPedal is a Python module that provides tools for the manipulation of pedigrees, simple visualization of pedigrees, and the calculation of measures of genetic diversity from pedigrees.
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OpenDinTest is a OpenOffice-Calc-Sheet for statistical Data-Analysis according to the german industry-norm DIN 32645. <br> <br> OpenDinTest ist eine OpenOffice-Calc-Datei zur statistischen Auswertung von Messdaten nach der DIN 32645. <br>
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ssSearchEngine
keyword search engine for semi-structured data (Tables, lists,...)
This application implement an approach for doing keyword based search over semi-structured data available in HTML pages. -
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ECG is a distributed system to record and analyse developer activites for programming behaviour. It supports the research of actual processes and micro-processes.
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Feedisto is your personal newspaper. Your newspaper is collocted from rss feeds, parsed by a bayesian filter to rate its relevance and served as a static html page or on a webserver to train the filter. Writing plugins is very easy.
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The Community Health Information Tracking System (CHITS) integrates public health vertical program information and presents a unified view of data for decision-making.
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representation by relations vs data storage. pile unifies the contradicted qualities of tables/trees (databases) and complex networks, order and flexibility. dynamical data generation on call. fast. natively compressing similarities. search across scopes.
