Showing 3 open source projects for "wamp server python"

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    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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  • Striven | All In One Business Management Software Icon
    Striven | All In One Business Management Software

    Striven is an all-in-one business management software suite with everything your organization needs for success.

    Striven is the all-in-one business management software that lowers your costs, improves your operations, and makes work easier. Make your company’s data coherent, connected, and relevant.
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  • 1
    Appfl

    Appfl

    Advanced Privacy-Preserving Federated Learning framework

    APPFL (Advanced Privacy-Preserving Federated Learning) is a Python framework enabling researchers to easily build and benchmark privacy-aware federated learning solutions. It supports flexible algorithm development, differential privacy, secure communications, and runs efficiently on HPC and multi-GPU setups.
    Downloads: 6 This Week
    Last Update:
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  • 2
    FedLab

    FedLab

    A flexible Federated Learning Framework based on PyTorch

    A Python-based framework for federated learning simulation, emphasizing modularity, communication efficiency, and algorithmic flexibility. Supports both server- and client-side customization for research and development purposes.
    Downloads: 8 This Week
    Last Update:
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  • 3
    Fedhf

    Fedhf

    A Flexible Federated Learning Simulator

    FedHF is a Python-based simulator for flexible, heterogeneous, and asynchronous federated learning research. It provides configurable resource models, supports asynchronous protocols, and accelerates experimentation.
    Downloads: 10 This Week
    Last Update:
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