Alternatives and similar repositories for SageMaker-Pipelines-Step-By-Step

Users that are interested in SageMaker-Pipelines-Step-By-Step are comparing it to the libraries listed below

• gonsoomoon-ml / Self-Study-On-SageMaker
  ☆80Updated last year
• aws-samples / sm-model-serving-patterns
  SageMaker Model Serving Patterns
  ☆27Updated last year
• aws-samples / aws-ai-ml-workshop-kr
  A collection of localized (Korean) AWS AI/ML workshop materials for hands-on labs.
  ☆299Updated last week
• serithemage / AWS_AI_Study
  AWS AI 학습 리소스
  ☆52Updated 3 years ago
• K9Ns / data-pipelines-with-apache-airflow
  ☆114Updated 2 years ago
• awskrug / data-group
  AWSKRUG Datascience Group
  ☆116Updated 3 weeks ago
• daekeun-ml / tensorflow-in-sagemaker-workshop
  Localized (Korean) Tensorflow in SageMaker workshop materials for hands-on labs
  ☆13Updated 5 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
• dongjin-ml / amazon-bedrock-workshop-webinar-kr
  This is a workshop designed for Amazon Bedrock a foundational model service.
  ☆29Updated last year
• MLOpsKR / Awesome-MLOps-Contents
  DataOps(Data Operation), MLOps(Machine Learning Operation) Contents
  ☆131Updated 4 years ago
• jaewonlee-728 / fastcampus-RecSys
  2020 패스트캠퍼스 추천시스템 A to Z
  ☆136Updated 4 years ago
• wikibook / mlsdp
  《머신러닝 시스템 디자인 패턴》 예제 코드
  ☆69Updated 3 years ago
• daekeun-ml / sagemaker-studio-workshop-kr
  Korean localized SageMaker Studio workshop materials for hands-on labs.
  ☆16Updated 5 years ago
• mlops-for-all / mlops-for-all.github.io
  ☆184Updated 5 months ago
• mlops-for-mle / mlops-for-mle
  ☆101Updated last year
• playinpap / awesome-data-and-analytics-governance
  데이터 & 분석 거버넌스 제고를 위한 양질의 레퍼런스들을 수집하고 생각을 나눌 수 있습니다.
  ☆73Updated 2 years ago
• njkwon / fc-bigdata
  ☆19Updated last year
• yansfil / grab-data-world
  Single node ETL pipeline project
  ☆25Updated 4 years ago
• chris-chris / kubeflow-tutorial
  ☆20Updated 3 years ago
• lsjsj92 / recommender_system_with_Python
  recommender system tutorial with Python
  ☆203Updated last year
• onlybooks / bigquery
  구글 빅쿼리 완벽 가이드
  ☆48Updated 4 years ago
• gilbutITbook / 080235
  파이썬 코딩의 기술 개정2판(Effective Python, 2nd) 소스 코드입니다
  ☆67Updated 4 years ago
• CausalInferenceLab / Lang2SQL
  ☆68Updated this week
• keeyong / beginner-spark-programming-with-pyspark
  ☆14Updated 11 months ago
• dream2globe / CleanCodeInPython
  파이썬 클린코드 내용 정리
  ☆27Updated 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 2 years ago
• Pseudo-Lab / data-engineering-for-everybody
  DE4E: Data Engineering for Everybody by Pseudo-Lab
  ☆67Updated last year
• zzsza / kyle-school
  쏘카 데이터 그룹 사내 신입/인턴을 대상으로 한 카일스쿨
  ☆233Updated 3 years ago
• hjkim-sun / airflow
  ☆42Updated 3 months ago
• FVBros / Spark-The-Definitive-Guide
  한빛미디어에서 출간한 스파크 완벽 가이드 1판의 소스코드 저장소
  ☆96Updated 5 years ago