Showing 4 open source projects for "environment-modules"

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    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.
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  • 2
    FEDML Open Source

    FEDML Open Source

    The unified and scalable ML library for large-scale training

    ...When a developer wants to run a pre-built job in Studio or Job Store, TensorOperaLaunch swiftly pairs AI jobs with the most economical GPU resources, and auto-provisions, and effortlessly runs the job, eliminating complex environment setup and management.
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  • 3
    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: 0 This Week
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  • 4
    Taorluath is a Service-Oriented Learning Architecture based on a WAFFLE Bus design methodology which is the result of the fusion of the concepts behind the Wide Area Freely Federated Learning Environment (WAFFLE) and the Enterprise Service Bus (ESB).
    Downloads: 0 This Week
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