Open Source Projects & Contributions | Abdelkareem Elkhateb
Open Source Philosophy
I am a strong believer in the power of open source software to democratize technology and accelerate innovation. My open source work has been primarily focused on developer tools, machine learning infrastructure, and streamlining production workflows. I’ve been fortunate to contribute to widely-used projects such as fastai, Metaflow, Kubeflow, Jupyter, and Great Expectations.
Below is a detailed overview of my contributions and the projects I maintain.
fastai
The fastai library is one of the most popular high-level frameworks for deep learning. I maintain and contribute to a variety of fastai projects, focusing on improving the developer experience and expanding the library’s capabilities. Below are the specific projects I’ve been deeply involved in:
| Project | Description | Role | Other References |
|---|---|---|---|
fastpages 
|
An easy to use blogging platform for Jupyter Notebooks. | Creator | Blog, Talk |
nbdev 
|
Write, test, document, and distribute software packages and technical articles all in one place, your notebook. | Core Contributor | Blog, Talk |
fastcore 
|
A Python language extension for exploratory and literate programming. | Core Contributor | Blog |
ghapi 
|
A Python client for the GitHub API | Core Contributor | Blog |
Metaflow
Metaflow is a framework for real-life data science. I created notebook cards: A tool that allows you to use notebooks to generate reports, visualizations, and diagnostics directly within Metaflow production workflows. This helps bridge the gap between experimental notebooks and production-grade monitoring. You can read more about it on the official blog.
Kubeflow
Kubeflow is the machine learning toolkit for Kubernetes. I’ve worked on several projects related to Kubeflow, mainly focusing on building practical examples and enhancing documentation to help developers deploy ML models more effectively:
| Project | Description | Role | Other References |
|---|---|---|---|
| GitHub Issue Summarization | An end-to-end example of using Kubeflow to summarize GitHub Issues. Became one of the most popular tutorials of Kubeflow. | Author | Interview with Jeremy Lewi |
| kubeflow/codei-intelligence | Various tutorials and applied examples of Kubeflow. | Core Contributor | Talk |
| The Kubeflow Blog | I used fastpages to create the official Kubeflow blog. | Core Contributor | Site |
Jupyter
I created the Repo2Docker GitHub Action, which allows you to trigger repo2docker to build Jupyter-enabled Docker images directly from your GitHub repository. This Action is essential for teams looking to pre-cache images for their own BinderHub cluster or for sharing reproducible environments on mybinder.org.
This project was recognized for its utility and accepted into the official JupyterHub GitHub organization.
Great Expectations
Data quality is paramount in machine learning. I developed the Great Expectations GitHub Action to enable automated data validation within CI/CD workflows. This ensures that data pipelines remain healthy and that schema changes or data drift are caught early. More details can be found in this GitHub Blog post.
Other Projects
During my time as a staff machine learning engineer at GitHub (2017 - 2022), I led and created several open source projects exploring the intersection of machine learning, big data, and the developer workflow. These projects aimed to bring intelligence to the tools developers use every day:
| Project | Description | Role | Other References |
|---|---|---|---|
Code Search Net 
|
Datasets, tools, and benchmarks for representation learning of code. This was a big part of the inspiration for GitHub’s eventual work on CoPilot. | Lead | Blog, Paper |
| Machine Learning Ops | A collection of resources on how to facilitate Machine Learning Ops with GitHub. This project explored integrations with a wide variety of data science tools with GitHub Actions. | Creator | Blog |
| Issue Label Bot | A GitHub App powered by machine learning that auto-labels issues. | Creator | Blog, Talk |
Covid19-dashboard 
|
A demonstration of how to use GitHub Actions, Jupyter Notebooks and fastpages to create interactive dashboards that update daily. |
Creator | News Article |
Connect and Explore
My open source work is deeply connected to my research and practical engineering. You can explore the theoretical side of these technologies in my Research Papers or read about their implementation in production on my Blog.
For smaller daily updates and technical snippets, check out my Today I Learned section. You can also return to my Homepage for a general overview of my work.