Search Results for "compiler python linux" - Page 4
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Showing 178 open source projects for "compiler python linux"
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This project aims to be a easy-to-use toolkit of algorithms and utilities for semantic data mining. So far all algorithms are implemented as web services and we provide widgets for their use in the Orange4WS data mining platform.
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Graph-based Extraction and Summarization - a generic graph-based summarization framework. Basic functionality is provided - third-party modules can be plugged in.
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Echoproc is a piece of scientific analysis software used to extract physical ice sheet characteristics from radio echograms from experiments like the Center for the Remote sensing of ice sheets (https://www.cresis.ku.edu/)
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ngram is a module to compute the similarity between two strings. It is different to python's "difflib.SequenceMatcher" in that it cares more about the size of both strings. ngram is an port and extension of the perl module called "String::Trigram
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FONZIE is a bioinformatic tool written in Python developed for the genetic cartography speciality. FONZIE allow as well to find markers on a set of sequences than to find associate oligonucleotides. http://www.biomedcentral.com/1756-0500/3/322/abstra
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Methods and testing of methods for automatic analysis of in situ cyclic voltammetry data. This, at least initially, is the code from my masters thesis, which was done as a contribution to a larger project called Aevum. Aevum is being developed at t
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Monte is machine learning in pure Python. Monte's focus is the construction of gradient based learning machines from many small components.
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cgfreak is a control group visualization and manipulation tool written i Python and using PyGTK and PyCairo as backend. The idea is to help in understanding and clarifying how Linux control groups work.
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MLboost: Machine Learning boost library in Python. MLboost main goal is to speedup any Machine Learning projects by simplifying data preprocessing, features selection and data visualisation. Design by Machine Learning practitioners to let them do ML...;)
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Data mines the voting record and other actions of Members of the UK Parliament. Extracts information from the parliament website and stores it in a database. Provides tools to analyse the information, producing statistics and tables about the MPs.
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A cooperative passive radar aimed to be used over commercial (and cheap) hardware.
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The Varro toolkit is a system for identifying and frequently recurring unordered subtrees in semi-structured data. It is mostly for linguistics but has applications in semi-structured data mining too.
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The NetEpi project is developing open-source, network-enabled tools for epidemiology and public health practice.
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This project goal is to provide a way to get screenshot and channels data from digital storage oscilloscope.
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Python module to interface the CLIPS expert system shell library.
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A univariate and multivariate analysis UI. This project is no longer under development. Please use as you wish.
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A Python function library to extract EEG feature from EEG time series in standard Python and numpy data structure. Features include classical spectral analysis, entropies, fractal dimensions, DFA, inter-channel synchrony and order, etc.
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FreeBrain will be an application for the analysis of 2D neurophysiological signals, like heart-rate, EEG or eyemovements. It is aimed at those who want intuitive or free software and those who want a customizeble tool that can handle mixed datasets.
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ConDEnSE (Confidential Data Enabled Statistical Exploration) will be a web-based environment for statistical analysis of confidential data from various database sources, based on Plone and R, and using the Jackknife method of confidentiality protection.
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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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This is a neat little tool to visualize binary data in a graphical form. It's really interesting to look at different types of files.
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This research project seeks to use compiler techniques to perform an attribute-based data-flow analysis on (MOF/UML)models allowing for a syntax-driven validation of a model's static semantics as well as an abstract interpretation of i dynamic behavior.
