privacy-preserving-machine-learning

Open-source projects categorized as privacy-preserving-machine-learning

Top 4 privacy-preserving-machine-learning Open-Source Projects

  • awesome-production-machine-learning

    A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

  • Project mention: Exploring Open-Source Alternatives to Landing AI for Robust MLOps | dev.to | 2023-12-13

    One trove of treasures is the awesome-production-machine-learning repository on GitHub. This curated list provides a multitude of frameworks, libraries, and software designed to facilitate various stages of the ML lifecycle.

  • openfl

    An open framework for Federated Learning. (by securefederatedai)

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
  • falcon-public

    Implementation of protocols in Falcon

  • heflow

    Open source platform for the privacy-preserving machine learning lifecycle

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

privacy-preserving-machine-learning related posts

Index

What are some of the best open-source privacy-preserving-machine-learning projects? This list will help you:

Project Stars
1 awesome-production-machine-learning 15,947
2 openfl 658
3 falcon-public 82
4 heflow 15

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