Popular GitHub Repositories for Cognito Quickstart

Node.js example app from the OpenAI API quickstart tutorial

Python example app from the OpenAI API quickstart tutorial

A collection of 3 lambda functions that are invoked by Amazon S3 or Amazon API Gateway to analyze uploaded images with Amazon Rekognition and save picture labels to ElasticSearch (written in Kotlin)

RunaVault is a secure, serverless password management application built using AWS free-tier services and a React frontend. It enables users to create, manage, and share encrypted secrets (e.g., passwords) with individuals or groups, leveraging AWS Cognito for authentication, DynamoDB for storage, and KMS for encryption.

Opinionated sample on how to build/deploy a RAG web app on AWS powered by Amazon Bedrock and PGVector (on Amazon RDS)

Augmento sentiment data quickstart and research

Build a generative AI application using LangChain.js, from local to Azure

Build a custom user interface for more tailored, controlled, and consolidated interactions with Amazon Q business.

Opinionated sample on how to build and deploy a RAG application with Amazon Bedrock and OpenSearch

End-to-end Solution for Speech Recognition, Text Translation, and Text-to-Speech for iOS using Amazon Translate and Amazon Polly as AWS Machine Learning managed services.

Google for Games Generative AI Quickstart

这个仓库包含一个强大的编码助手应用，集成 DeepSeek API，能够处理用户对话并生成结构化的 JSON 响应。用户可以通过命令行界面读取本地文件内容、创建新文件，并实时修改现有文件。

AIGC 知识库问答系统快速搭建，便于企业级定制化，支持文档上传，向量存储，聊天式问答。

Chainlit application built using AWS CDK, secured with Amazon Cognito, that allows you to interact with Anthropic's Claude language models from Amazon Bedrock.

how to use the Google Cloud Speech API to transcribe audio/video files.

Quickstart template as a fork on TDSP (https://github.com/Azure/Azure-TDSP-ProjectTemplate), extending the template with a suggested structure for operationalization using Azure. Includes ARM templates as IaC for resource deployment, template build and release pipelines to enable model CI/CD, template code for working with Azure ML.

This project has been created to make AI accessible and easy for everyone. Whether you are a beginner with no prior experience or an experienced developer, this starter kit is designed to help you incorporate AI into your apps quickly and easily.

Quickstart guide incorporating hands-on demos & modern best practices for running AI/ML workloads on DigitalOcean.

This is a quickstart template to easily build and deploy a custom remote MCP server to the cloud using Azure functions. You can clone/restore/run on your local machine with debugging, and azd up to have it in the cloud in a couple minutes. The MCP server is secured by design.

使用deepseek来做大模型应用开发(how to use deepseek)