Showing 4 open source projects for "network anomaly detection"

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  • 1
    Awesome production machine learning

    Awesome production machine learning

    Curated list of awesome open source libraries

    This repository contains a curated list of awesome open source libraries that will help you deploy, monitor, version, scale, and secure your production machine learning. Open-source frameworks, tutorials, and articles curated by machine learning professionals. Open-source bias audit toolkits for data scientists, machine learning researchers, and policymakers to audit machine learning models for discrimination and bias, and to make informed and equitable decisions around developing and...
    Downloads: 0 This Week
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  • 2
    Hello AI World

    Hello AI World

    Guide to deploying deep-learning inference networks

    Hello AI World is a great way to start using Jetson and experiencing the power of AI. In just a couple of hours, you can have a set of deep learning inference demos up and running for realtime image classification and object detection on your Jetson Developer Kit with JetPack SDK and NVIDIA TensorRT. The tutorial focuses on networks related to computer vision, and includes the use of live cameras. You’ll also get to code your own easy-to-follow recognition program in Python or C++, and train...
    Downloads: 1 This Week
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  • 3

    CLUE - C Learning Undergrad Environment

    Tools to support the learning of the C programming language

    CLUE (C Learning Undergraduate Environment) is a software allowing students to work on assignments in the C language while benefiting from support for peer testing, hyper-linked tutorials to help them understand compiler error messages, detection of "novice errors" with warnings hyper-linked to tutorials. Sponsored by National Science Foundation under award CCLI #0836863.
    Downloads: 1 This Week
    Last Update:
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  • 4
    This is a tool designed to automatically configure Windows XP/Vista/Win7 clients easily for use on a wired and wireless network. Designed with mass deployment and easy customisation in mind. Originally designed for a academic environment
    Downloads: 0 This Week
    Last Update:
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