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Yuan is a principal software engineer at Red Hat, working on OpenShift AI. Previously, he has led teams to build AI infrastructure and platforms at various companies, including Alibaba and Akuity. He's a project lead of Argo and Kubeflow, a maintainer of TensorFlow and XGBoost, and an author of many popular open source projects. In addition, Yuan authored three machine learning books and published numerous impactful papers. He's a regular conference speaker, technical advisor, leader, and mentor at various organizations.

📖 Check out what he's working on and the Distributed Machine Learning Patterns book!

Yuan Tang's Projects

.github icon .github

GitHub configuration and templates across all personal repositories

addons icon addons

Useful extra functionality for TensorFlow 2.x maintained by SIG-addons

ai-blog icon ai-blog

Repository for the RStudio AI Blog (formerly: TensorFlow for R Blog)

argo-cd icon argo-cd

Declarative continuous deployment for Kubernetes.

argoproj icon argoproj

Common project repo for all Argo Projects

autoplotly icon autoplotly

Automatic Generation of Interactive Visualizations for Statistical Results

awesome-kubeflow icon awesome-kubeflow

A curated list of awesome projects and resources related to Kubeflow (a CNCF incubating project)

awesome-pipeline icon awesome-pipeline

A curated list of awesome pipeline toolkits inspired by Awesome Sysadmin

awesome-python icon awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

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