Search Results for "python data analysis" - Page 3
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Showing 115 open source projects for "python data analysis"
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Stand-alone software tool for the interactive CE analysis of microarray data. The software is a user-friendly and allows on-the-fly study of CE
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ViSBARD (Visual System for Browsing, Analysis, and Retrieval of Data) is an interactive visualization and analysis tool for space physics data. It provides an integrated 3-D/2-D environment to analyze measurements across many spacecraft and MHD models.
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Track utility meters to see how much electricity is generated by solar panels and create charts of the meter data.
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The NetEpi project is developing open-source, network-enabled tools for epidemiology and public health practice.
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Python module to interface the CLIPS expert system shell library.
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Java OpenCL Process Virtual Machine. Spring IoC based framework for complex data analysis with OpenCL computing.
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Everyday Software for the Researcher of Restricted Means: This project is intended to offer scientists and students with small budgets advanced versions of aqua-built desktop-editing, graphics and statistical applications for MacOSX.
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Neurospaces is a development center for tools in computational neuroscience. See http://www.neurospaces.org/
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Lucino is a C-library with some support for reading and writing Apache Lucene-indices. It currently comes with PHP- and Python bindings.
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Get1T is a tool for filtering through the massive quantity of data available in the Web 1T corpus and extracting only the counts you need - including for simple wildcard patterns.
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An implementation of "k-Way Merging" as described in "Fundamentals of Data Structures" by Horowitz/Sahni. NOTE: This project has been moved to http://code.google.com/p/kway/
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MGARCH is a software library for R-Project to simulate and estimate various MGARCH processes. This project also provides convenience tools for preparing data, summarizing and visualizing results, prediction and documentation.
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Forensic tool designed to extract 3GP video files (regular files, deleted or fragments), SMS (regular, erased or fragments) and address books (regular, erased or fragments) from memory dumps of motorola V3i, V3r and V3D&G cell phones.
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This program calcules a any Earthing Eletrical System: the voltage, grounding resistence and step voltage. (Programa que calcula num sistema de aterramento: a tensao em qualquer ponto do solo, a resistencia do aterramento e a tensao de passo)
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The Model Interaction Environment for Neuroscience provides tools for development, searching, editing, execution, and visualization of biophysical models, abstract mathematical models, and experimental protocols used in neuroscience research.
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Palenque Needles in a GigaStack is an MPI C program that searches through massive amounts of text files and finds interesting data.
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IDSS is a statistical application for e-mail surveys. It parses HTML questionnaires filled in by respondents. Output is a separated database, a SAS DATA step import program and correspondence tables between variable characteristics and field values.
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GMM-GMR is a light package of functions in C/C++ to compute Gaussian Mixture Model (GMM) and Gaussian Mixture Regression (GMR). It allows to encode any dataset in a GMM, and GMR can then be used to retrieve partial data by specifying the desired inputs.
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SYRAH si propone di far emergere e rappresentare i concetti espressi per mezzo di un linguaggio naturale. SYRAH aims to discover and represent concepts expressed in natural languages. NLP, lemma, lemmario, italiano, rete, semantica, clustering, semantic
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NDAD is the UK National Digital Archive of Datasets. This project contains the source code for the bespoke software which drives the public website and many aspects of the data curation/archiving process.
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eXtace is a 3D audio visualization tool (or eye candy depending on how you look at it). eXtace requires ESD (Esound) for its sound input source. It performs a FFT (fast fourier transform) on audio and displays it via various graphical modes.
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Random Projection Trees is a recursive space partitioning datastructure which can automatically adapt to the underlying (linear or non-linear) structure in data. It has strong theoretical guarantees on rates of convergence and works well in practice.
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