Showing 3 open source projects for "loop"

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  • 1
    NannyML

    NannyML

    Detecting silent model failure. NannyML estimates performance

    NannyML is an open-source python library that allows you to estimate post-deployment model performance (without access to targets), detect data drift, and intelligently link data drift alerts back to changes in model performance. Built for data scientists, NannyML has an easy-to-use interface, and interactive visualizations, is completely model-agnostic, and currently supports all tabular classification use cases. NannyML closes the loop with performance monitoring and post deployment data...
    Downloads: 2 This Week
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  • 2
    TensorBoardX

    TensorBoardX

    tensorboard for pytorch (and chainer, mxnet, numpy, etc.)

    The SummaryWriter class provides a high-level API to create an event file in a given directory and add summaries and events to it. The class updates the file contents asynchronously. This allows a training program to call methods to add data to the file directly from the training loop, without slowing down training. TensorboardX now supports logging directly to Comet. Comet is a free cloud based solution that allows you to automatically track, compare and explain your experiments. It adds a lot...
    Downloads: 0 This Week
    Last Update:
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  • 3
    MobiLinux | Linux Desktop for Android

    MobiLinux | Linux Desktop for Android

    Allowing you to use the Linux desktop everywhere you are

    MobiLinux is a mobile Linux distro based on Ubuntu 12.04 ARMv7 Build and is made to run on Android mobile phones while using little ram. This is based off http://sourceforge.net/projects/linuxonandroid/ and has been very much modified but should still be noted Requirments: - ARM based Android Mobile Phone - Android OS 2.2+ - ROOT ACCESS and BusyBox Binay - loop and ext2 kernel support - 2 GB of free space - 1 GHz CPU (dual-core or overclocked is recommended) - 512 RAM on board (1GB...
    Downloads: 0 This Week
    Last Update:
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