Showing 3 open source projects for "deep"

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  • 1
    Sysdig

    Sysdig

    Linux system exploration and troubleshooting tool

    ...Unify threat detection and incident response across containers, Kubernetes, and cloud with out-of-the-box Falco rules leveraging syscalls, Kubernetes audit logs and cloud logs. Gain deep insight with container and Kubernetes monitoring that is fully Prometheus compatible. Validate compliance against standards like PCI, NIST and SOC2 for containers, hosts, Kubernetes and cloud. Sysdig created Falco, the open standard for runtime threat detection for containers, hosts, Kubernetes and cloud.
    Downloads: 3 This Week
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  • 2
    ResNeXt

    ResNeXt

    Implementation of a classification framework

    ResNeXt is a deep neural network architecture for image classification built on the idea of aggregated residual transformations. Instead of simply increasing depth or width, ResNeXt introduces a new dimension called cardinality, which refers to the number of parallel transformation paths (i.e. the number of “branches”) that are aggregated together.
    Downloads: 0 This Week
    Last Update:
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  • 3
    fast-neural-style

    fast-neural-style

    Feedforward style transfer

    ...It also provides insights into the underlying techniques used in neural style transfer, making it both a practical tool and a learning resource. By combining performance and quality, it enables creative applications in image processing and design. Overall, fast-neural-style showcases how deep learning can be used for real-time artistic transformations.
    Downloads: 0 This Week
    Last Update:
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