Open Source Linux Education Software - Page 65

Education Software for Linux

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  • 1
    The Cybertory™ Virtual Molecular Biology Laboratory is an on-line virtual environment for conducting simulated experiments in molecular genetics.
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  • 2
    Cynus is a Content Magement System aimed to provide academic establishments with a means of simple yet elegant website generation. Its modular design and unique plugin repository system make extending features and upgrading simple.
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  • 3
    D2L.ai

    D2L.ai

    Interactive deep learning book with multi-framework code

    Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge. This open-source book represents our attempt to make deep learning approachable, teaching you the concepts, the context, and the code. The entire book is drafted in Jupyter notebooks, seamlessly integrating exposition figures, math, and interactive examples with self-contained code. Offers sufficient technical depth to provide a starting point on the path to actually becoming an applied machine learning scientist.
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  • 4
    The DACUM Automation Program is meant to help ease the burden of collection information and verification surveys for the DACUM process (as developed by Dr. Robert Norton at Ohio State University).
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  • 5
    DASSGUI
    DASS-GUI is a graphical user interface for pattern search in non-sequential data.
    Downloads: 0 This Week
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  • 6
    DATAONTO is a protege tab widget plugin that automatically builds domain ontlogies from relational database's metadata. once ontlogies are generated,this plugin can look for changes in database metadata and implement these changes in ontology.
    Downloads: 0 This Week
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  • 7
    Library and application that implements some algorithms relative to database theory: closure of attributes, primary keys calculation, minimal dependencies set, normalization, etc.
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  • 8
    DBNL

    DBNL

    Dynamic Bayesian Network Library

    DBNL is a cross-platform library that offers a variety of implementations of Bayesian networks and machine learning algorithms. It is a flexible library that covers all aspects of Bayesian netwoks from representation to reasoning and learning. It allows you to create simple static networks as well as complex temporal models with changing structure. It can handle highly non-linear dependencies between multivariate random variables. The particle based inference can answer arbitrary questions given the provided evidence and can even cope with multimodal densities. The library supports the most common types of densities and conditional densities, like uniform or normal densities and facilitates user defined density functions. To enable easy use the library is taking account of modern development techniques like policy based design and template programming. All these properties make it applicaple for a wide range of applications.
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  • 9
    MOVED: https://github.com/dcbriccetti/dbschools
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  • 10
    Custom algebra simplification and rearrangement. 2d, 3d Graphing, numeric evaluation, excact and approximate, exporting to text, HTML and latex-source. ANSI-C, stand-alone.
    Downloads: 0 This Week
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  • 11
    An editor, written in Java, for XML-encoded Dublin Core files following DCMI's Guidlines for Implementing DC in XML.
    Downloads: 0 This Week
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  • 12
    DIASER

    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.
    Downloads: 0 This Week
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  • 13
    DIG

    DIG

    A library for graph deep learning research

    The key difference with current graph deep learning libraries, such as PyTorch Geometric (PyG) and Deep Graph Library (DGL), is that, while PyG and DGL support basic graph deep learning operations, DIG provides a unified testbed for higher level, research-oriented graph deep learning tasks, such as graph generation, self-supervised learning, explainability, 3D graphs, and graph out-of-distribution. If you are working or plan to work on research in graph deep learning, DIG enables you to develop your own methods within our extensible framework, and compare with current baseline methods using common datasets and evaluation metrics without extra efforts. It includes unified implementations of data interfaces, common algorithms, and evaluation metrics for several advanced tasks. Our goal is to enable researchers to easily implement and benchmark algorithms.
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  • 14
    Egyszerű digitális technika függvénykönyvtár, egyenlőre grafikus felület nélkül.
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  • 15
    DILPS is a library for media database management. DILPS/W is a frontend for this library, which is implemented as a mediawiki extension with the aim of replacing the mediawiki file management subsystem with a much more elaborated media library
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  • 16
    DIO Lab

    DIO Lab

    Repository for "Contributing to an Open Source Project on GitHub" lab

    dio-lab-open-source is an educational repository created as part of the “Contributing to an Open Source Project” course offered by Digital Innovation One (DIO). The project serves as a practical learning environment where students can explore the fundamentals of contributing to open source software through GitHub. It provides hands-on experience with the Git workflow, including forking repositories, creating branches, submitting pull requests, and collaborating with other developers. The repository also emphasizes the role of Markdown in writing effective documentation, guiding learners on how to create clear, well-formatted text for README files and project guides. While Markdown is used for documentation and presentation, the course encourages students to complement it with proper debugging tools and language-specific development practices. Overall, this project functions as a stepping stone for beginners aiming to build confidence and competence in the real-world.
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  • 17
    DL For Monaural Source Separation

    DL For Monaural Source Separation

    Deep Recurrent Neural Networks for Source Separation

    Deep Recurrent Neural Networks for Source Separation.
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    DLESE (Digital Library for Earth System Education) is a community-supported digital library dedicated to the collection, enhancement, and distribution of materials that facilitate learning about the Earth. Sponsored by the US National Science Foundation.
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  • 19
    DLF Aquifer Development for Interoperability Across Scholarly Repositories: American Social History Online will implement schemas, data models and technologies to enable scholars to use distributed digital collections in a variety of local environments.
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  • 20
    A java based digital logic simulator, designed to be used as an educational tool. uses a GUI to allow users to quickly and easily create and visualise circuits from simple components. User can create custom components
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    A group of specific modules that allow to create and manage a simple distance learning system including audio/video and slide synchronization (in live streamed session too), slideshows, content management, teacher/student chat.
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  • 22
    The DMOZ white/blacklist generator is a Perl script to convert the RDF download file from the DMOZ website into one or more whitelists compatible with the SquidGuard and Dan's Guardian web content filters.
    Downloads: 0 This Week
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  • 23
    Simulation of arbitrary interactions of DNA with it's environment.
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  • 24
    DOMjudge programming contest jury system

    DOMjudge programming contest jury system

    DOMjudge is an automated judge system for programming contests.

    NOTE: DOMjudge has moved to www.domjudge.org and Github for all development. DOMjudge is an automated judge system to run programming contests. Both team and jury side interfaces are web based, with a command line submit tool available as well. It is written in PHP, shell-script and C/C++ and needs MySQL and a webserver.
    Downloads: 0 This Week
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  • 25
    DOOR (Digital Open Object Repository) is a free learning object repository implementing IMS metadata and content package specifications. It's usefull to all organizations producing, storing and reusing digital learning contents.
    Downloads: 0 This Week
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