Showing 1 open source project for "self code"

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  • Point of Sale. Powerful and Simple. Icon
    Point of Sale. Powerful and Simple.

    For retail store owners and multi-location retail operations needing a tool to manage sales, inventory, staff and channels in one place

    Vibe Retail is an all-in-one retail point-of-sale and operations platform built for single-store and multi-location retailers seeking to unify inventory, sales, staff and customer data from one mobile-friendly interface. The system lets you track inventory across locations and warehouses, handle item variations (size, color, material), manage purchase orders and supplier deliveries, print custom barcodes, and transfer stock between stores in real time. On the sales side, Vibe supports multiple payment types (cards, cash, checks, gift cards, EBT), layaway workflows, serial number tracking, delivery management, loyalty programs and branded receipts. Retailers can integrate with online platforms (such as Shopify and WooCommerce), sync in-store and online sales, access 40+ real-time reports on sales, inventory and performance, set up promotions and discounts, and print receipts from mobile devices.
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  • Papirfly: Best user-friendly DAM and Content Creation Software Icon
    Papirfly: Best user-friendly DAM and Content Creation Software

    The #1 solution to create and manage content. On‑brand. At scale.

    Papirfly provides a single online destination for all your employees and other stakeholders who are engaging with your brand, ensuring consistency in all aspects of their communications. Teams can produce infinite studio-standard marketing materials from bespoke templates, store, share and adapt them for their own markets and stay firmly educated on the brand’s purpose, guidelines and evolution – with no specialist skills or agency help necessary.
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    Lightly

    Lightly

    A python library for self-supervised learning on images

    A python library for self-supervised learning on images. We, at Lightly, are passionate engineers who want to make deep learning more efficient. That's why - together with our community - we want to popularize the use of self-supervised methods to understand and curate raw image data. Our solution can be applied before any data annotation step and the learned representations can be used to visualize and analyze datasets. This allows selecting the best core set of samples for model training...
    Downloads: 0 This Week
    Last Update:
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