Alternatives and similar repositories for tensorflow-in-sagemaker-workshop

Users that are interested in tensorflow-in-sagemaker-workshop are comparing it to the libraries listed below

• aws-samples / aws-ai-ml-workshop-kr
  A collection of localized (Korean) AWS AI/ML workshop materials for hands-on labs.
  ☆299Updated this week
• dongjin-ml / amazon-bedrock-workshop-webinar-kr
  This is a workshop designed for Amazon Bedrock a foundational model service.
  ☆29Updated last year
• gonsoomoon-ml / SageMaker-Pipelines-Step-By-Step
  ☆21Updated 2 years ago
• gonsoomoon-ml / Self-Study-On-SageMaker
  ☆80Updated last year
• aws-samples / sm-model-serving-patterns
  SageMaker Model Serving Patterns
  ☆27Updated last year
• daekeun-ml / sagemaker-studio-workshop-kr
  Korean localized SageMaker Studio workshop materials for hands-on labs.
  ☆16Updated 5 years 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 3 years ago
• serithemage / AWS_AI_Study
  AWS AI 학습 리소스
  ☆52Updated 3 years ago
• gonsoomoon-ml / Kor-LLM-On-SageMaker
  ☆13Updated 6 months ago
• 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 3 years ago
• chris-chris / kubeflow-tutorial
  ☆20Updated 3 years ago
• aws-samples / sm-kornlp
  A collection of Korean NLP hands-on labs on Amazon SageMaker
  ☆18Updated last year
• 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
• awskrug / data-group
  AWSKRUG Datascience Group
  ☆116Updated 3 weeks ago
• daje0601 / CookBook
  LLM의 다양한 튜닝 방법과 데이터 전처리 코드를 정리해놓았습니다.
  ☆12Updated last month
• MLOpsKR / Awesome-MLOps-Contents
  DataOps(Data Operation), MLOps(Machine Learning Operation) Contents
  ☆130Updated 4 years ago
• rickiepark / ml-powered-applications
  <머신러닝 파워드 애플리케이션>의 코드 저장소입니다. 원서 깃허브는 https://github.com/hundredblocks/ml-powered-applications 입니다.
  ☆36Updated last year
• daje0601 / AllinOne_LLM
  NLP 역사부터 서빙까지 한 권의 책에서 다룹니다.
  ☆24Updated last month
• rampart81 / python-backend-book
  ☆32Updated 2 years ago
• mlops-for-all / mlops-for-all.github.io
  ☆184Updated 5 months ago
• mlops-for-mle / mlops-for-mle
  ☆101Updated last year
• ukairia777 / pytorch-nlp-tutorial
  pytorch를 사용하여 텍스트 전처리부터 RAG, 에이전트, LLM 파인튜닝을 정리한 Deep Learning NLP 저장소입니다.
  ☆65Updated 2 months ago
• kyopark2014 / ML-Algorithms
  It summerizes the algorithms of Machine Learning.
  ☆11Updated 2 weeks ago
• awskrug / athena-workshop
  AWS Athena Workshop
  ☆13Updated 8 years ago
• onlybooks / bigquery
  구글 빅쿼리 완벽 가이드
  ☆48Updated 4 years ago
• wikibook / mlsdp
  《머신러닝 시스템 디자인 패턴》 예제 코드
  ☆69Updated 3 years ago
• Yosseulsin-JOB / Google-Python-Style-Guide-kor
  Google Python Style Guide 한글 번역
  ☆49Updated 2 months ago
• kyopark2014 / bedrock-agent
  It shows a bedrock agent.
  ☆21Updated 4 months ago
• chulminkw / DLCV
  ☆53Updated 4 years ago
• zzsza / bigquery-tutorial
  Google BigQuery Tutorial for Data Analyst
  ☆141Updated 5 years ago