pablog12 / tutorials

Learn how to use OpenMined by Example

Tutorials

This repository includes step-by-step tutorials for using and adding to functionality within the OpenMined ecosystem. Before you begin, you should start by completing our OSX, Linux or Windows installation guides which will get you setup and ready to complete the tutorials. If you get stuck, the best place to ask questions is in the #beginner Slack channel.

• Contents
  • Beginner
  • Intermediate
  • Advanced
• For contributors
• Community
• License

Contents

Beginner

In this tutorial we gonna know how to use the OpenMined Keras Interface and build our first Neural Network.

• Guide: Train a Basic Neural Network (Keras Interface)
• YouTube Video: Basic Network
• Project: Find a new dataset and train a new neural network using the Keras interface!

Intermediate

Now let's build the Guts of a Deep Learning Framework. We gonna know how OpenMined Tensors Work and understand the Magic under the hood.

• Guide: How to Add a (CPU-powered) Function to a Tensor
• YouTube Video: OpenMined Tutorial - How OpenMined Tensors Work
• Project: Add a feature to Float Tensors

Advanced

And finally, let's do some performance improvements, undestading a little about GPUs and Networking. We gonna optimizing the key bottlenecks of the system.

• Guide: How to add a (GPU-powered) Function to a Tensor
• YouTube Video: Add Code to GPU Tensor
• Project: The Need for Speed - Picking a Neural Network and Making it Faster

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
2. YouTube

License

CC BY-SA 4.0