Showing 2 open source projects for "python samples"

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  • Paladin Point of Sale is a powerful retail management system designed to simplify daily store operations for independent retailers. Icon
    Paladin Point of Sale is a powerful retail management system designed to simplify daily store operations for independent retailers.

    It enables businesses to sell from anywhere using mobile point-of-sale tools while also providing a ready-built online store for seamless omnichannel

    Paladin Point of Sale is ideal for independent retailers in hardware, lumber, pharmacy, and specialty retail industries seeking an easy-to-use, industry-specific POS system with strong support and flexibility.
    Learn More
  • InEight is a leader in construction project controls software Icon
    InEight is a leader in construction project controls software

    InEight serves contractors, owners, and engineers in capital construction

    Minimize risks, gain operational efficiency, control project costs, and make confident, informed decisions. InEight software has your back during every stage of construction, from accurate pre-planning to predictable execution and completion. When project teams collaborate effectively, every decision is backed by precise, authoritative insights.
    Learn More
  • 1
    DeepVariant

    DeepVariant

    DeepVariant is an analysis pipeline that uses a deep neural networks

    DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data. DeepVariant is a deep learning-based variant caller that takes aligned reads (in BAM or CRAM format), produces pileup image tensors from them, classifies each tensor using a convolutional neural network, and finally reports the results in a standard VCF or gVCF file. DeepTrio is a deep learning-based trio variant caller built on top of DeepVariant. DeepTrio...
    Downloads: 1 This Week
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  • 2
    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. ...
    Downloads: 0 This Week
    Last Update:
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