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Ivy (unify.ai)

Ivy

About Us - Unified AI

Ivy is both an ML transpiler and a framework, currently supporting JAX, TensorFlow, PyTorch, and Numpy.

Ivy unifies all ML frameworks 💥 enabling you not only to write code that can be used with any of these frameworks as the backend, but also to convert 🔄 any function, model or library written in any of them to your preferred framework!

You can check out Ivy as a transpiler and Ivy as a framework to learn more about this, try out Ivy straight away going through the Setting up Ivy section, or dive deep into Ivy's Documentation and Examples!

If you would like to contribute, you can join our growing Community 🌍, check out our Contributing guide, and take a look at the open tasks if you'd like to dive straight in 🧑‍💻

Let's unify.ai together 🦾

Why participate in an Octernship with Ivy?

🚀 We have recently enabled Pilot Preview for our Compiler and Transpiler in a private setting, so come take a look by joining our waitlist!

Come join us for an Octernship term as we are on our mission to unify AI. We are looking for folks who have experience working in any of the following domains

Our primary development solely happens around Python, and we make use of Docker and DevContainers to configure environments extensively.

Octernship role description

  • Submission Date (Updated): August 23, 2023
  • Length of the Octernship: 12 weeks
  • Stipend: $1000

Recommended qualifications

A candidate must have, at minimum, operational knowledge of the tools we use

It is a major plus point to have expertise/experience in any of the following

Eligibility

To participate, you must be:

  • A verified student on Global Campus

  • 18 years or older

  • Active contributor on GitHub (monthly)

Assignment

Contribute to our PaddlePaddle Frontend Functions!

Task instructions 📝

In this task, you will contribute one PaddlePaddle Front-end function that will become a part of the Ivy master branch. This would involve the following steps

  • Choose one function from the list of open function tasks
  • Set up your environment to start working with Ivy
  • Implement the function using the Ivy framework
  • Implement the corresponding test for the function (to know where to place each of those files, refer to our documentation!)
  • Commit and make a PR to the Main branch for this addition!

Upon approval and subsequent acceptance, your contribution will be attributed to you and added to the Ivy master branch.

Feel free to ask questions on our Discord server!

Task Expectations 👩‍💻👨‍💻

Please make sure you adhere to the GitHub Octernships Code of Conduct, and follow these rules:

  • Complete the project on your own. Feel free to take help from our Discord, but do not copy code or use external code without comprehending the logic.
  • Make sure you add sufficient comments and documentation at each step. That will allow us to evaluate your work, as well as make the code more friendly to read!

Task submission 🚀

🚨 Task must be submitting in your private repository assigned after applying via Octernships Dashboard

Your private assignment repository will be named: ivy-octernships-ml-USERNAME

Students are expected to use the GitHub Flow when working on their project.

  • Create a new branch
  • Making changes on the new branch
  • Create a new Pull Request from new branch -> main
  • Merge the PR changes into main branch on or before the assignment deadline.
  • Use GitHub Discussions to ask any relevant questions regarding the project

Heads up 🚨

  • Public Pull Requests are not accepted for GitHub Octernships. Apply via the official Octernships dashboard.

Resources 📚