arthim-aws

Pinned Repositories

• guidance-for-automated-restore-and-copy-for-amazon-s3-glacier-objects

  This Guidance provides an automated workflow to restore archived Amazon Simple Storage Service (Amazon S3) data stored in S3 Glacier Flexible Retrieval and Deep Archive storage classes to a new storage class

  Language:Python5400

• guidance-for-bioinformatics-workflow-development-using-devops-on-aws

  This Guidance demonstrates how to set up a continuous integration and continuous delivery (CI/CD) pipeline to automate the lifecycle of your bioinformatics workflows on AWS HealthOmics

  Language:TypeScript50

• guidance-for-cell-based-architecture-on-aws

  This Guidance helps customers understand the concepts of implementing a cell-based architecture. This architecture shows fault isolation between cells, which are independent replicas of the system

  Language:Python171

• guidance-for-dynamic-game-npc-dialogue-on-aws

  This guidance helps game developers automate the process of creating a non-player character (NPC) for their games, and associated infrastructure, that leverage Unreal Engine MetaHuman, Large Language Models Operations (LLMOps), and generative AI to improve NPC conversational skills.

  Language:Python6611

• guidance-for-intelligent-route-optimization-on-aws

  This solution provides a reference implementation for route optimization and tracking that can be leveraged by organizations that serve their own customers “in the field.”

  Language:TypeScript8701

• guidance-for-natural-language-queries-of-relational-databases-on-aws

  Demonstration of Natural Language Query (NLQ) of an Amazon RDS for PostgreSQL database, using SageMaker JumpStart, Amazon Bedrock, LangChain, Streamlit, and Chroma.

  Language:Python58141210

• guidance-for-product-substitutions-on-aws

  Language:TypeScript61110

• guidance-for-self-healing-code-on-aws

  This Guidance helps software companies set up a automated system to detect error logs, generate bug fixes, and create pull requests. Helps companies balance addressing bugs while also competing with product and feature development pressure.

  Language:Python161003

• guidance-for-text-generation-using-embeddings-from-enterprise-data-on-aws

  This Guidance demonstrates question answering using Retrieval Augmented Generation (RAG) with foundation models in Amazon SageMaker JumpStart

  Language:JavaScript81535

• osml-tile-server

  Language:Python51200

arthim-aws's Repositories