Showing 2 open source projects for "decryption"

View related business solutions
  • Already Paying for an RMM? Get 50% Off Splashtop AEM Icon
    Already Paying for an RMM? Get 50% Off Splashtop AEM

    Switch to Splashtop AEM and save up to 50% in your first year

    Automated OS and third-party patching for Windows and macOS, CVE prioritization with AI patch summaries, and built-in remote control that also supports Linux. Qualifying organizations switching from another RMM get up to 50% off year one.
    Get Started
  • Paessler - Monitor Your Whole Network in Minutes Icon
    Paessler - Monitor Your Whole Network in Minutes

    Auto-discovery finds your devices and deploys pre-configured sensors instantly. No project plan required, just visibility from day one.

    Waiting weeks for a monitoring rollout isn't an option when infrastructure doesn't stop running. PRTG's auto-discovery scans your network and suggests from over 200 pre-configured sensor types, so you're watching servers, applications and devices within minutes, not after a multi-week deployment. Enterprise-strength monitoring, without the enterprise complexity. Start your free trial today.
    Start Free 30-Day Trial
  • 1
    SQUEEZER

    SQUEEZER

    Squeezer framework, build serverless dApps

    Squeezer is a platform that empowers new-entry blockchain developers to build serverless dApps simply as dead. The main usage of the ChainKit is to unify top blockchains interfaces into a single normalized API interface, therefore you can build blockchain dApps easily without digging into blockchain complex infrastructure. Bi-directional on-chain transactions (inbound and outbound). Build dApps connecting to smart contracts using chain kit agnostic connector. Quick intuitive code deployments...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 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:
    See Project
  • Previous
  • You're on page 1
  • Next