Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Staging area for ongoing enhancements to Ray focused on improving integration with AWS and other Amazon technologies.

MLFlow Deployment Plugin for Ray Serve

Kernel-Bypass LibOS Architecture

Linux kernel source tree

Fast C logging library.

AFGH Proxy Re-Encryption with RELIC (C library)

Production-Grade Container Scheduling and Management

Kubernetes Native Serverless Framework

Application Kernel for Containers

Secure and fast microVMs for serverless computing.

Fast and flexible Docker image building tool, works in unprivileged containerized environments like Mesos and Kubernetes.

Resumes generated using the GitHub informations

Zplot: a Python-based plotting tool to make simple EPS, PDF, and SVG graphs

An open source serverless computing platform