Popular GitHub Repositories for Amazon Lex

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

? wukong-robot 是一个简单、灵活、优雅的中文语音对话机器人/智能音箱项目，支持ChatGPT多轮对话能力，还可能是首个支持脑机交互的开源智能音箱项目。

Artificial Intelligence Infrastructure-as-Code Generator.

A library for training and deploying machine learning models on Amazon SageMaker

A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. ?25 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. ? Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.

A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere, Mistral) using AWS CDK on AWS

This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models

✨ Add autocomplete and AI to your existing terminal on macOS & Linux

Sample Amazon Lex chat bot web interface

DoEKS is a tool to build, deploy and scale Data & ML Platforms on Amazon EKS

OpenAI-Compatible RESTful APIs for Amazon Bedrock

Example Jupyter notebooks ? and code scripts ? for using Amazon Bedrock Agents ? and its functionalities

ChatGPT at home! Basically a better Google Nest Hub or Amazon Alexa home assistant. Built on the Raspberry Pi using the OpenAI API.

A lightning-fast, cross-platform AI chat application built with React Native.

A project to make Amazon Echo respond to sign language using your webcam

? AI browser extensions & userscripts to enhance your web experience

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

AWS QnABot is a multi-channel, multi-language conversational interface (chatbot) that responds to your customer's questions, answers, and feedback. The solution allows you to deploy a fully functional chatbot across multiple channels including chat, voice, SMS and Amazon Alexa.

Serve machine learning models within a ? Docker container using ? Amazon SageMaker.

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)