Popular GitHub Repositories for Aws S3

An example of using AI and AWS to generate, and deploy websites in under a minute.

QuickSeek is a chrome extension that allows you to easily search and navigate through a YouTube video, you can quickly find and watch only parts of the video that contain words you are looking for. The Chrome extension uses Amazon Transcribe to make the audio searchable and Amazon Comprehend to perform sentiment analysis on the transcript.

Consulting Project with Manifold.co: Modeling System Resource Usage for Predictive Scheduling

Real Time Twitter Sentiment Analysis Product

Employee Productivity GenAI Assistant Example is an innovative code sample and architecture pattern designed to enhance writing tasks efficiency using AWS serverless technologies and Amazon Bedrock's generative AI models.

@DeepLearning.AI Practical Data Science Specialization brings together these disciplines using purpose-built ML tools in the AWS cloud. It has helped me to develop the practical skills to effectively deploy your data science projects and overcome challenges at each step of the ML workflow using Amazon SageMaker.

AWS AI ChatBot streaming demo implementation using NodeJS, AWS Bedrock, Lambda and DocumentDB

Run ONNX machine learning models on AWS Lambda

ChatGPT-based automation for AWS s3 using the functions feature.

一个自托管的ElevenLabs克隆版，使用Docker、FastAPI和Next.js实现文本转语音、语音转换和AI音频生成。

A simple web app which interacts with a deployed recurrent neural network performing sentiment analysis on movie reviews. Trained and deployed on AWS cloud.

The NLP Hub consists of multiple NLP services, each providing specific functionality, such as sentiment analysis, named entity recognition, grammar & spell check, and text summarization. The system is designed to handle a high volume of text data.

Pipeline-Genie is an intelligent data pipeline that processes CSV datasets, identifies their schema, and leverages LLaMA 2.0 to extract business insights. Users can select relevant business needs, triggering automated ETL transformations using Apache Spark. The final transformed dataset is stored in AWS S3 and made available for download.

A fun application to recognize celebrities in an image using AWS Step Functions, Amazon EventBridge combining the patterns of orchestration and choreography.

Summarizer-AI is an API-based service that provides PDF summarization using serverless architecture. Built with Go and AWS CDK, it leverages modern cloud technologies to deliver efficient and scalable solutions.

MCP server to integrate AWS S3 and LLM

RAG-Ingest: A tool for converting PDFs to markdown and indexing them for enhanced Retrieval Augmented Generation (RAG) capabilities.

Automate Hasty.ai annotation exports to Amazon S3 with ease using this GitHub Actions-powered tool.

Zova is a SaaS platform for creating multi-source chatbots using the RAG framework. Powered by Langchain, Pinecone, and Next.js, it integrates easily with websites and supports secure authentication, payments, and email.

Predicted clv making it easier for the auto-insurance companies to decide on the premiums of their incoming clients and thus balance the total risk in the market