Showing 2 open source projects for "encryption"

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  • Fax.Cloud delivers encrypted, point-to-point faxing with guaranteed delivery and built-in audit trails Icon
    Fax.Cloud delivers encrypted, point-to-point faxing with guaranteed delivery and built-in audit trails

    For organizations in regulated industries needing a solution to replace traditional fax infrastructure and integrate with email or online portals

    Unlike email or file-sharing tools, Fax.Cloud doesn’t bounce around the internet, exposed and vulnerable. It’s direct, encrypted, and verified. You get delivery confirmation, audit trails, and peace of mind, without the spam filters, metadata leaks, or cyber threats.
    Learn More
  • Multi-Entity Cloud Accounting Software for Growing Businesses Icon
    Multi-Entity Cloud Accounting Software for Growing Businesses

    Built for small to midsize businesses that have outgrown entry-level accounting or legacy ERP solutions.

    Built natively on the Microsoft Power Platform (Dynamics 365), Gravity delivers robust multi-entity financial management with seamless integration to Microsoft 365, Power BI, Teams + Copilot — no third-party add-ons required.
    Learn More
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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. NVIDIA FLARE is built on a componentized architecture that allows you to take federated...
    Downloads: 4 This Week
    Last Update:
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  • 2
    CrypTen

    CrypTen

    A framework for Privacy Preserving Machine Learning

    ...Its design mirrors PyTorch’s modular and library-based structure, enabling flexible experimentation, debugging, and model development. The framework supports both encryption and decryption of tensors and operations such as addition and multiplication over encrypted values. Although not yet production-ready, CrypTen focuses on advancing real-world secure ML applications, such as training and inference over private datasets, without exposing sensitive data.
    Downloads: 0 This Week
    Last Update:
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