Showing 4 open source projects for "training"

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  • 1
    Ascoos Web Extended Studio

    Ascoos Web Extended Studio

    Is a portable web server suite for windows 64Bit, for Web Development.

    ... 🔧 Key Features: - Multi-version support for PHP and MariaDB - Modular and upgrade-friendly architecture - Fully portable – no installation required - Integrated tools and applications - Advanced GUI features - CGI technology support 🎯 Ideal for: - Developing and testing PHP applications across multiple environments - Experimenting with different software versions - Maintaining legacy projects - Local development and training without installation Official Site: https://awes.ascoos.com Demo video: https://youtu.be/HMCJpgEC9zg GitHub: https://github.com/ascoos/awes
    Downloads: 79 This Week
    Last Update:
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  • 2
    Web Security Dojo

    Web Security Dojo

    Virtual training environment to learn web app ethical hacking.

    Web Security Dojo is a virtual machine that provides the tools, targets, and documentation to learn and practice web application security testing. A preconfigured, stand-alone training environment ideal for classroom and conferences. No Internet required to use. Ideal for those interested in getting hands-on practice for ethical hacking, penetration testing, bug bounties, and capture the flag (CTF). A single OVA file will import into VirtualBox and VMware. There is also an Ansible script for those brave souls that want transform their stock Ubuntu into a virtual dojo. ...
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    Downloads: 159 This Week
    Last Update:
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  • 3
    Neural Libs

    Neural Libs

    Neural network library for developers

    ...The project also includes examples of the use of neural networks as function approximation and time series prediction. Includes a special program makes it easy to test neural network based on training data and the optimization of the network.
    Downloads: 0 This Week
    Last Update:
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  • 4
    Fast Artificial Neural Network Library is a free open source neural network library, which implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks. Cross-platform execution in both fixed and floating point are supported. It includes a framework for easy handling of training data sets. It is easy to use, versatile, well documented, and fast. Bindings to more than 15 programming languages are available. An easy to read introduction article and a reference manual accompanies the library with examples and recommendations on how to use the library. Several graphical user interfaces are also available for the library.
    Downloads: 6 This Week
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