Tutorials

OpenMined is an unincorporated, volunteer-only open source project to provide federated machine learning using blockchain technology.

This repository provides tutorial code to explore and learn various projects in the openmined ecosystem.

• Prerequisites
• Contents
  • Basics
  • Intermediate
  • Advanced
• For contributors
• Community
• License

Prerequisites

• Make sure Python 3.5+ is installed on your machine by checking python3 --version
• Install pysyft by following the instructions listed over here
• Install pysonar by following the instructions listed over here
• Install capsule by following the instructions listed over here
• Set up a virtual environment for the Python libraries (optional, recommended)

Contents

Basics

• Pysonar-Decentralized model training simulation
• Pysyft-Paillier Homographic Encrypted Linear Classification

Intermediate [WIP]

Advanced [WIP]

For Contributors

If you are interested in contributing to this, first check out our Contributor Quickstart Guide and then sign into our Slack Team to let us know which projects sound interesting to you! (or propose your own!).

Here's how you can contribute:

we would like to explore every possible use of the Openmined ecosystem and share these with the community, To that end you can create various tutorials and Put it in one of the beginner, intermediate, advanced sections based on their appropriate levels.

You can raise an issue or submit a pull request, whichever is more convenient for you.

Community

1. Slack

License

CC BY-SA 4.0