Search Results for "apostila-python"
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Showing 9 open source projects for "apostila-python"
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Ceka
Crowd Environment and its Knowledge Analysis
A knowledge analysis tool for crowdsourcing based on Weka. We also have a Python version of Crowdsourcing Learning: CrowdwiseKit on GitHub (https://github.com/tssai-lab/CrowdwiseKit). -
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Digital Preservation Software Platform (DPSP) consists of a number of open source products such as Xena and Digital Preservation Recorder. This installs and configures the complete platform for preserving digital records - just install and use! NO LONGER MAINTAINED, NO LONGER SUPPORTED
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Personal Library
Acts like a real library with the best user interface on the backpack.
Stores your favorites Books. Lets you track the Users logged,signed up. Time tracing of system access. Delete, and Add both Categories and Books. No fussy configurations, embedded database with Java Runtime Environment enabled. -
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This is a Content Based Image Retrieval Interface with only color features implemented. This is part of a thesis work to analyze the different color features and observe the performance on mainly corel5k images.
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A digital repository and metadata editing initiative of Duke University Libraries
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The project contains algorithms for locating the most central groups in complex networks. In particular implementations of various centrality measures and heuristic search algorithms. All functionality is exposed via XML-RPC for easier exploitation.
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This project is an OO-centric design of getopts, based on the standard python implementation of getopts. C-style loop calling of getopts is not OO and does not take advantage of Java's standard library.
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Das Krinein Projekt ist ein lockerer Zusammenschluss von Studenten und Interessenten des Themas dreidimensionale Grafiken in Echtzeitumgebungen. Wichtig ist uns dabei der direkte Kontakt der Teilnehmer, Teamwork und das lernen neuer Techniken.
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cosmos
Algorithms that run our universe | Your personal library of every algo
Cosmos (by OpenGenus Foundation) is your personal offline collection of every algorithm and data structure one will ever encounter and use in a lifetime. This provides solutions in various languages spanning C, C++, Java, JavaScript, Swift, Python, Go and others. This work is maintained by a community of hundreds of people and is a massive collaborative effort to bring the readily available coding knowledge offline. -
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