Popular GitHub Repositories for Adk Sample

A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.

A collection of sample apps to demonstrate how to use Google's ML Kit APIs on Android and iOS

使用代理开发工具包 (ADK) 构建的一组示例代理

Sample app for Androidify

An awesome list of TensorFlow Lite models, samples, tutorials, tools and learning resources.

The Simple Agent Development Kit.

Microsoft Text-to-Speech API sample code in several languages, part of Cognitive Services.

Web UI for AutoGen (A Framework Multi-Agent LLM Applications)

Large Language Models (LLMs) tutorials & sample scripts, ft. langchain, openai, llamaindex, gpt, chromadb & pinecone

Sample Amazon Lex chat bot web interface

A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure Cognitive Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.

Sample to envision intelligent apps with Microsoft's Copilot stack for AI-infused product experiences.

Python sample codes and documents about Autonomous vehicle control algorithm. This project can be used as a technical guide book to study the algorithms and the software architectures for beginners.

Sample AI movies app built with ? Ion

This sample has the full End2End process of creating RAG application with Prompty and Azure AI Foundry. It includes GPT 3.5 Turbo LLM application code, evaluations, deployment automation with AZD CLI, GitHub actions for evaluation and deployment and intent mapping for multiple LLM task mapping.

The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“. (NeurIPS 2022)

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

AWS Generative AI CDK Constructs are sample implementations of AWS CDK for common generative AI patterns.

Tensorflow framework for the FLAME 3D head model. The code demonstrates how to sample 3D heads from the model, fit the model to 2D or 3D keypoints, and how to generate textured head meshes from Images.

Code to reproduce the experiments in Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation (MEEE).