Showing 3 open source projects for "kickstart"

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    Lightly

    Lightly

    A python library for self-supervised learning on images

    ...This allows selecting the best core set of samples for model training through advanced filtering. We provide PyTorch, PyTorch Lightning and PyTorch Lightning distributed examples for each of the models to kickstart your project. Lightly requires Python 3.6+ but we recommend using Python 3.7+. We recommend installing Lightly in a Linux or OSX environment. With lightly, you can use the latest self-supervised learning methods in a modular way using the full power of PyTorch. Experiment with different backbones, models, and loss functions.
    Downloads: 0 This Week
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  • 2
    Sweetviz

    Sweetviz

    Visualize and compare datasets, target values and associations

    Sweetviz is an open-source Python library that generates beautiful, high-density visualizations to kickstart EDA (Exploratory Data Analysis) with just two lines of code. Output is a fully self-contained HTML application. The system is built around quickly visualizing target values and comparing datasets. Its goal is to help quick analysis of target characteristics, training vs testing data, and other such data characterization tasks.
    Downloads: 0 This Week
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  • 3
    Mangage all your servers/desktops from one place. Install packages, push files, get sw/hw inventory, keep a changelog for all systems, setup auto-installation systems (kickstart and others). All this by working with groups of hosts, not individually
    Downloads: 0 This Week
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