Showing 7 open source projects for "cpu usage"

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  • 1
    EaseProbe

    EaseProbe

    A simple, standalone, and lightweight tool

    ...Support the bastion/jump server. Connect to a given port using TLS and (optionally) validate for revoked or expired certificates. Run an SSH command on a remote host and check the CPU, Memory, and Disk usage. MySQL. Connect to a MySQL server and run the SHOW STATUS SQL. Redis. Connect to a Redis server and run the PING command. Memcache. Connect to a Memcache server and run the version command or validate a given key/value pair. MongoDB. Connect to a MongoDB server and perform a ping. Kafka. Connect to a Kafka server and perform a list of all topics.
    Downloads: 0 This Week
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  • 2
    MNN

    MNN

    MNN is a blazing fast, lightweight deep learning framework

    ...Android platform, core so size is about 400KB, OpenCL so is about 400KB, Vulkan so is about 400KB. Supports hybrid computing on multiple devices. Currently supports CPU and GPU.
    Downloads: 26 This Week
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  • 3
    AWS IoT Device Defender Library

    AWS IoT Device Defender Library

    Client library for using AWS IoT Defender service on embedded devices

    ...This library also supports custom metrics, a feature that helps you monitor operational health metrics that are unique to your fleet or use case. For example, you can define a new metric to monitor the memory usage or CPU usage on your devices. This library has no dependencies on any additional libraries other than the standard C library, and therefore, can be used with any MQTT client library. This library is distributed under the MIT Open Source License. This library has gone through code quality checks including verification that no function has a GNU Complexity score over 8, and checks against deviations from mandatory rules in the MISRA coding standard. ...
    Downloads: 4 This Week
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  • 4
    MegEngine

    MegEngine

    Easy-to-use deep learning framework with 3 key features

    ...After training, just put everything into your model and inference it on any platform at ease. Speed and precision problems won't bother you anymore due to the same core inside. In training, GPU memory usage could go down to one-third at the cost of only one additional line, which enables the DTR algorithm. Gain the lowest memory usage when inferencing a model by leveraging our unique pushdown memory planner. NOTE: MegEngine now supports Python installation on Linux-64bit/Windows-64bit/MacOS(CPU-Only)-10.14+/Android 7+(CPU-Only) platforms with Python from 3.5 to 3.8. ...
    Downloads: 6 This Week
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  • 5
    SocketCluster

    SocketCluster

    Highly scalable realtime pub/sub and RPC framework

    Highly scalable pub/sub and RPC toolkit optimized for async/await. Pub/sub-channels are very cheap. You can have millions of unique channels without worrying about memory or CPU usage. Channels are automatically cleaned up when they are no longer used. The socket cluster CLI tool exposes kubectl (Kubernetes) shortcut commands to make deploying your app to any Kubernetes cluster really easy. All necessary Kubernetes .yaml files are provided. After deploying your app to a Kubernetes cluster, you can scale indefinitely by using the kubectl scale deployment command to add more SCC-worker and SCC-broker instances as needed. ...
    Downloads: 8 This Week
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  • 6
    Darknet

    Darknet

    Convolutional Neural Networks

    Darknet is an open source neural network framework written in C and CUDA, developed by Joseph Redmon. It is best known as the original implementation of the YOLO (You Only Look Once) real-time object detection system. Darknet is lightweight, fast, and easy to compile, making it suitable for research and production use. The repository provides pre-trained models, configuration files, and tools for training custom object detection models. With GPU acceleration via CUDA and OpenCV integration,...
    Downloads: 26 This Week
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  • 7
    AdaptiveCells J2EE generates test-beds for benchmarking J2EE performance. They consists of highly customizable EJB cells that can emulate CPU load, memory usage, memory leaks and exceptions. The behaviour of the cells is coordinated from a web front-end.
    Downloads: 0 This Week
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