Search Results for "open source kms" - Page 4
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Showing 182 open source projects for "open source kms"
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ptsa (pronounced pizza) stands for Python Time Series Analysis. A python module specifically designed with neural data in mind (EEG, MEG, fMRI, etc...), but applicable to almost any type of time series.
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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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A python package to find repetitive format pattern in HTML pages and extract information from them using this pattern. The idea is that in pages that have some kind of a list, there will be a repetitive pattern for the human eye (the page format).
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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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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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A spread sheet engine running over python. Any formula is pure python! You can do Macro in python and include any python package like NumPy. There is bult-in functions like D([list]) which automatically extend the list in cells.
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Transana is a cross-platform tool for the transcription and qualitative analysis of audio and video data. It also provides the ability to identify and organize analytically interesting portions of videos, as well as attach keywords to those video clips.
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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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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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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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A univariate and multivariate analysis UI. This project is no longer under development. Please use as you wish.
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Python module to interface the CLIPS expert system shell library.
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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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A HTML scraper that uses machine learning frameworks to extract labelled fields from raw HTML. The project also involves the development of a tool to display the semi structured data generated by the scraper component.
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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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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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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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pygpr is a collection of algorithms that can be used to perform Gaussian process regression and global optimization.
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