Showing 3 open source projects for "file tracking system"

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    Red Hat Ansible Automation Platform on Microsoft Azure

    Red Hat Ansible Automation Platform on Azure allows you to quickly deploy, automate, and manage resources securely and at scale.

    Deploy Red Hat Ansible Automation Platform on Microsoft Azure for a strategic automation solution that allows you to orchestrate, govern and operationalize your Azure environment.
  • Gain insights and build data-powered applications Icon
    Gain insights and build data-powered applications

    Your unified business intelligence platform. Self-service. Governed. Embedded.

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  • 1
    CodeXCavator - code indexing and search

    CodeXCavator - code indexing and search

    Source code indexing and full text search tool based on Lucene.

    The CodeXCavator is a tool for source code indexing, tagging, and fast full-text search. It consists of two applications: The indexer is a configurable tool for creating an index for large amounts of source code or plain text files. The searcher is a GUI based tool for fast full text search within previously created indexes. The toolchain also supports code tagging, i.e. you can include special tags within comments inside the source code. These are indexed separately and can be...
    Downloads: 1 This Week
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  • 2
    ChangePackBuilder

    ChangePackBuilder

    real time code file change tracking & pack building for .NET projects

    ... be stopped at any time and can be resumed from that point as well. The key feature of this tool is that it retains the original folder structure of the project (excluding the project root). For e.g. if the project is structured like C:\Projects\OrderManager\BusinessLayer\Order.cs, the change pack would have same folder structure from BusinessLayer onward all the way down to the file. This is an obvious advantage in complex projects which have a very deeply nested folder structure.
    Downloads: 0 This Week
    Last Update:
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  • 3
    Medical Datasets (In a text file, with space separated values) can be loaded to the system. By choosing either one of the two classifiers, Neural network or Decision Tree, the system can be trained and evaluated.
    Downloads: 0 This Week
    Last Update:
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