Showing 3 open source projects for "learn python source codes"

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  • A warehouse and inventory management software that scales with your business. Icon
    A warehouse and inventory management software that scales with your business.

    For leading 3PLs and high-volume brands searching for an advanced WMS

    Logiwa is a leader in cloud-native fulfillment technology, revolutionizing high-volume fulfillment for third-party logistics (3PLs), B2B and B2C fulfillment networks, and direct-to-consumer brands. Our flagship product, Logiwa IO, is an advanced Fulfillment Management System (FMS) designed to scale operations in the digital era. Logiwa elevates digital warehousing to new heights, ensuring dynamic and efficient fulfillment processes. Our commitment to AI-driven technology, combined with a focus on customer-centricity, equips businesses to adeptly navigate and excel in rapidly changing market landscapes. Discover the future of smart fulfillment and how you can fulfill brilliantly with Logiwa IO.
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  • PageDNA: Web-to-Print eCommerce Software Icon
    PageDNA: Web-to-Print eCommerce Software

    eCommerce for Print, Signs and Fulfillment Trusted by In‑Plants and Commercial Print Leaders

    PageDNA enables successful eCommerce strategies for commercial print sales organizations, internal print shops, and brand owners. PageDNA’s online ordering platform increases print volume while decreasing touch costs for all stakeholders: clientele, print operations, and the organizations they support.
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  • 1
    Pfl Research

    Pfl Research

    Simulation framework for accelerating research

    A fast, modular Python framework released by Apple for privacy-preserving federated learning (PFL) simulation. Integrates with TensorFlow, PyTorch, and classical ML, and offers high-speed distributed simulation (7–72× faster than alternatives).
    Downloads: 1 This Week
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  • 2
    Flower

    Flower

    Flower: A Friendly Federated Learning Framework

    A unified approach to federated learning, analytics, and evaluation. Federate any workload, any ML framework, and any programming language. Federated learning systems vary wildly from one use case to another. Flower allows for a wide range of different configurations depending on the needs of each individual use case. Flower originated from a research project at the University of Oxford, so it was built with AI research in mind. Many components can be extended and overridden to build new...
    Downloads: 11 This Week
    Last Update:
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  • 3
    NVIDIA FLARE

    NVIDIA FLARE

    NVIDIA Federated Learning Application Runtime Environment

    NVIDIA Federated Learning Application Runtime Environment NVIDIA FLARE is a domain-agnostic, open-source, extensible SDK that allows researchers and data scientists to adapt existing ML/DL workflows(PyTorch, TensorFlow, Scikit-learn, XGBoost etc.) to a federated paradigm. It enables platform developers to build a secure, privacy-preserving offering for a distributed multi-party collaboration. NVIDIA FLARE is built on a componentized architecture that allows you to take federated...
    Downloads: 8 This Week
    Last Update:
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