Search Results for "python data analysis" - Page 2
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Showing 66 open source projects for "python data analysis"
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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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The Dataverse Network is a Java EE5 app that enables researchers to share data on-line. It provides data citation standards, facilitates preservation, distribution and replication of data, and includes statistical analysis. More at: http://thedata.org
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C++, Matlab and Python library for Hidden-state Conditional Random Fields. Implements 3 algorithms: LDCRF, HCRF and CRF. For Windows and Linux, 32- and 64-bits. Optimized for multi-threading. Works with sparse or dense input features.
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DIASER
Cloud storage class, open source software.
DIASER, Geo-data duplication long-term archive system & WAN vault. Manage mixed data archives generated by existing backup software. Ensure availability using commodity hardware. Retain administrative and financial control. -
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TextTools is a freeware corpus linguistics tool developed in Python to aid in research. This program analyzes user-created corpora and displays information about word (token) frequency, n-grams, clusters, collocations, keyword in context (KWIC), and keyness. TextTools is designed to be user-friendly and intuitive and will run natively on Mac OS X.
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Geospace Analysis Package
MatLab toolbox for magnetospheric and ionospheric science.
A MatLab toolbox with many simple and useful functions for analyzing data from Cluster, Champ and the Swarm missions. Other functions for space plasma physics, magnetospheric and ionospheric research are included. The toolbox is designed to be as simple as possible. Each function can be learned and used individually. See the tutorial in the Files section for a quick introduction. -
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VisualRiSC
Toolbox visualizing computations of Realizable Sign Conditions.
This toolbox contains a set of Python procedures in order to compute examples associated with the computation of Realizable Sign Conditions (RiSC) due to the approach by Basu, Pollack and Roy. The RiSC approach is a way to solve and analyze systems of polynomial equations and inequalities over the real numbers in the field of real-algebraic geometry. The involved computations often consist of highly sophisticated notions, not easy to illustrate by hand. VisualRiSC provides implementations... -
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OrthoInspector is a new software system for orthology/paralogy analysis. Its purpose is to facilitate the installation and the maintenance of a database describing orthology/inparalogy relations and to provide tools to exploit these data.
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Semtinel is an application framework for the semi-automatic creation, maintenance and analysis of hierarchical concept schemes (thesaurus, classification or ontology). Semtinel supports the development of new analysis methods and visualization techniques
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MedioVis is concerned with the user-centred development of next generation visual information seeking systems for novice and nonexpert users. Various Browsing-oriented data exploration strategies are supported (overview & detail, filtering, zooming etc.)
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MarcXimiL is a flexible multi-platform bibliographic similarity analysis framework. Features: deduplication, information monitoring, visual analysis, plagiarism detection. Supported: MARCXML, OAI-PMH2 harvesting, and importation of text MARC.
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Rubyturgy is designed to help students perform textual analysis on publicly available texts. It is intended to mimic Unix text utility functionality, while providing more useful representations of data for students of literature.
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At the Moment: Simple script to read and handle data in the RIS file format. The script converts data in RIS format to bibliographic records. Currently it supports only the RIS types 'BOOK', 'CHAP' and 'JOUR'. It's more of a demonstrator.
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Wizard-like software to manage a scientific repository (articles or any digital document). Citation information(BibTeX) is automatically corrected. From the repository, get copies of items, list of references+citations. NEW:handles real documents.
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A java library for the processing and analysis of natural language texts and other sequential data. The focus is on unsupervised modeling with simple, statistical methods as well as implementations of more complex algorithms.
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The library of programme meteo - meteo.2o.pl Programme measures temperature and it sends it to server where data be stored.
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BibteXML is a bibliography schema for XML that expresses the content model of BibTeX – the bibliographic system for use with LaTeX. Stylesheets and conversion tools are provided.
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Ontea - Pattern based Semantic Annotation Platform. Ontea search or create semantic meta data from text or documents using pattern based approaches. Implementation currently includes regular expressions (regex) patterns
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REPEATS is a bioinformatics software designed to help biologists to analyze sequence - either nucleotide or protein - for interspersed repeats. It offers functionalities to manage sequence data, analyze and store search results for further analysis.
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DASS-GUI is a graphical user interface for pattern search in non-sequential data.
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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.
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This is attempt to make an open source bookmarking system that supports tagging, distributed data storage, genetic "splicing" of strains of bookmarking tags and much more!
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Make AsciiDoc part of your literate programming tool set. With eWEB you can weave and tangle literate programs written as AsciiDoc documents, using embedded WEB code snippets.
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Data processing algorithms based on the gnostical theory of uncertain data possess high robustness with respect to both outlying data and changes of their statistical characteristics.
