Alternatives and similar repositories for aws-kr-startup-samples

Users that are interested in aws-kr-startup-samples are comparing it to the libraries listed below

• aws-samples / sample-generative-ai-gallery
  ☆10Updated last month
• aws-samples / aws-ai-ml-workshop-kr
  A collection of localized (Korean) AWS AI/ML workshop materials for hands-on labs.
  ☆285Updated last week
• dongjin-ml / amazon-bedrock-workshop-webinar-kr
  This is a workshop designed for Amazon Bedrock a foundational model service.
  ☆29Updated last year
• jesamkim / diagram-parsing
  Amazon Bedrock 의 Nova, Claude 3.7 모델을 활용하여 pdf 도면을 파싱 합니다.
  ☆12Updated 2 weeks ago
• aws-samples / generative-ai-demo-using-amazon-sagemaker-jumpstart-kr
  This project shows the demos about how to generate stable diffusion images using AWS SageMaker Jumpstat.
  ☆19Updated last year
• aws-samples / security-baseline-self-test
  ☆39Updated 7 months ago
• daekeun-ml / tensorflow-in-sagemaker-workshop
  Localized (Korean) Tensorflow in SageMaker workshop materials for hands-on labs
  ☆13Updated 4 years ago
• gonsoomoon-ml / Self-Study-On-SageMaker
  ☆79Updated 10 months ago
• daekeun-ml / KoSimCSE-SageMaker
  This is a hands-on for ML beginners to perform SimCSE step-by-step. Implemented both supervised SimCSE and unsupervisied SimCSE, and dist…
  ☆23Updated last year
• hyeonsangjeon / AWS-LLM-SageMaker
  SageMaker Ployglot based RAG opensearch
  ☆16Updated 2 months ago
• daekeun-ml / tfs-workshop
  Deep Learning Inference hands-on labs; Learn how to host pre-trained TensorFlow/MXNet models to Amazon SageMaker Endpoint without buildin…
  ☆10Updated 2 years ago
• kyopark2014 / question-answering-chatbot-with-vector-store
  It is a chatbot for question and answering using RAG based on LLM
  ☆15Updated last year
• aws-samples / aurora-postgresql-pgvector
  Leverage pgvector and Amazon Aurora PostgreSQL for Natural Language Processing, Chatbots and Sentiment Analysis
  ☆62Updated last month
• gonsoomoon-ml / SageMaker-Pipelines-Step-By-Step
  ☆21Updated 2 years ago
• daekeun-ml / genai-ko-LLM
  This hands-on lab walks you through a step-by-step approach to efficiently serving and fine-tuning large-scale Korean models on AWS infra…
  ☆26Updated last year
• aws-samples / aws-genai-conversational-rag-reference
  AWS Generative AI Conversational RAG Reference (Galileo)
  ☆76Updated this week
• kyopark2014 / llm-multimodal-and-rag
  It shows how to use mutimodal and RAG based on multi-region LLM.
  ☆25Updated 7 months ago
• aws-samples / sm-kornlp
  A collection of Korean NLP hands-on labs on Amazon SageMaker
  ☆18Updated last year
• aws-samples / sm-model-serving-patterns
  SageMaker Model Serving Patterns
  ☆26Updated last year
• kyopark2014 / rag-code-generation
  It decribes code generation using RAG.
  ☆21Updated last year
• synabreu / awskrusergroup
  AWS SageMaker를 이용한 MLOps와 LLMOps
  ☆32Updated last year
• kyopark2014 / langgraph-builder
  It shows how to use langgraph-builder.
  ☆15Updated 2 months ago
• daekeun-ml / sagemaker-studio-workshop-kr
  Korean localized SageMaker Studio workshop materials for hands-on labs.
  ☆16Updated 4 years ago
• kyopark2014 / llm-agent
  It shows how to deploy and use an agent with LLM.
  ☆18Updated 3 months ago
• aws-samples / aws-serverless-workshops-kr
  서버리스 애플리케이션 Wild Rydes 구성 워크샵용 코드 및 랩
  ☆17Updated last year
• gonsoomoon-ml / Kor-LLM-On-SageMaker
  ☆13Updated last month
• daekeun-ml / sm-huggingface-kornlp
  This hands-on lab guides you on how to easily train and deploy Korean NLP models in a cloud-native environment using SageMaker's Hugging …
  ☆20Updated 2 years ago
• aws-samples / amazon-sagemaker-built-in-algorithms-mlops-pipeline-using-aws-cdk
  MLOps Pipeline Using SageMaker & CDK, where models are from SageMaker built-in algorithms.
  ☆27Updated 2 months ago
• kyopark2014 / mcp
  It shows how to use model-context-protocol.
  ☆15Updated this week
• ksmin23 / my-aws-cdk-examples
  A collection of AWS CDK Python examples with architecture diagrams for frequently used AWS services
  ☆119Updated last month