Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

sharing current agents in use

Performance-driven development (PDD). A new methodology for building systems powered by large-language models

Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.

Code for the manim-generated scenes used in 3blue1brown videos

Tutorials for creating and using ONNX models

Checkpoint-engine is a simple middleware to update model weights in LLM inference engines

🎓 Path to a free self-taught education in Computer Science!

All the open source AI Agents hosted on the oTTomator Live Agent Studio platform!

sharing current agents in use

go the distance

Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen2.5, Qwen3, Llama, Kimi, and more!

What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?

Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]

365 Days Computer Vision Learning Linkedin Post

The 500 AI Agents Projects is a curated collection of AI agent use cases across various industries. It showcases practical applications and provides links to open-source projects for implementation…

Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen2.5, Qwen3, Llama, and more!

Amazon Bedrock Agentcore accelerates AI agents into production with the scale, reliability, and security, critical to real-world deployment.

A Model Context Protocol (MCP) server for Gmail integration in Claude Desktop with auto authentication support. This server enables AI assistants to manage Gmail through natural language interactions.

First Trusted MCP server running on AWS Nitro Enclave Trusted Execution Environment

Official Python client library for LinkedIn APIs

MCP server to deploy apps to Cloud Run

Comprehensive collection of examples for LiveKit Agents with Python

Ultralytics YOLO 🚀

This repository contains a demo of a Search Agent built with Google's Agent Development Kit (ADK), showcasing Agent2Agent (A2A) and Multi-Component Protocol (MCP) integration. The Search Agent is c…

A list of AI autonomous agents

The AWS Copilot CLI is a tool for developers to build, release and operate production ready containerized applications on AWS App Runner or Amazon ECS on AWS Fargate.

python jupyter notebook tutorials

AI Observability & Evaluation