Showing 2 open source projects for "encryption decryption"

View related business solutions
  • Resco toolkit for building mobile apps Icon
    Resco toolkit for building mobile apps

    A no-code toolkit for building responsive and resilient mobile business applications for Microsoft Power Platform, Dynamics 365, Dataverse and Salesfo

    Deploying mobile apps with Resco takes days, not months—all without writing a single line of code. Workers can download the Resco app from AppStore, Google Play, or Windows Store, log into your company environment, and instantly use the app you have published on any device.
    Learn More
  • Enterprise-Class Managed File Transfer. Icon
    Enterprise-Class Managed File Transfer.

    For organizations that need to automate secure file transfers to protect sensitive data.

    Diplomat MFT by Coviant Software is a secure, reliable managed file transfer solution designed to simplify and automate SFTP, FTPS, and HTTPS file transfers. Built for seamless integration, Diplomat MFT works across major cloud storage platforms, including AWS S3, Azure Blob, Google Cloud, Oracle Cloud, SharePoint, Dropbox, Box, and more.
    Learn More
  • 1
    Stake Crash Predictor

    Stake Crash Predictor

    Stake Crash Predictor is a toolkit for stake mines predictor & Plinko.

    The Stake Crash Predictor is a focused toolkit that combines statistical analysis, optional server fairness seed hash decrypt helpers, and AI-assisted summaries to help you study rounds on Stake.us. This project centers on the stake mines predictor and stake predictor workflows Demo-focused stake crash predictor app — seed-inspection helpers (SHA-512 / SHA-256), AI-assisted summaries, and demo bot templates for stake mines predictor too, Start in demo mode to test safely. Disclaimer:...
    Leader badge
    Downloads: 185 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
MongoDB Logo MongoDB