An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

A simple, performant and scalable Jax LLM!

Official Python SDK for the Agent2Agent (A2A) Protocol

Recipes for reproducing training and serving benchmarks for large machine learning models using GPUs on Google Cloud.

A simplified and automated orchestration workflow to perform ML end-to-end (E2E) model tests and benchmarking on Cloud VMs across different frameworks.