Alternatives and similar repositories for AWS-Serverless-Data-Engineering-Pipeline:

Users that are interested in AWS-Serverless-Data-Engineering-Pipeline are comparing it to the libraries listed below

• noahgift / databricks-zero-to-mlops
  ☆27Updated 2 years ago
• jacopotagliabue / no-ops-machine-learning
  A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.
  ☆37Updated 4 years ago
• dmatrix / mlflow-workshop-part-3
  Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this four p…
  ☆35Updated 4 years ago
• noahgift / or
  Operations Research Algorithms
  ☆17Updated last year
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆35Updated 2 years ago
• scalingpythonml / scalingpythonml
  Scaling Python Machine Learning
  ☆45Updated last year
• aws-samples / cloud-experiments
  Open innovation with 60 minute cloud experiments on AWS
  ☆87Updated last year
• ds-muzalevskiy / sagemaker-docker-deploy
  ☆18Updated 3 years ago
• monte-carlo-data / data-downtime-challenge
  ☆84Updated 2 years ago
• mlrun / demo-github-actions
  demo CI/CD pipeline using MLRun, Kubeflow and GitHub Actions
  ☆50Updated 2 years ago
• ssp-data / data-engineering-devops
  Full stack data engineering tools and infrastructure set-up
  ☆51Updated 4 years ago
• deliveryhero / pyconde2019-airflow-ml-workshop
  PyConDE & PyData Berlin 2019 Airflow Workshop: Airflow for machine learning pipelines.
  ☆47Updated last year
• Snowflake-Labs / sfguide-recommender-pipeline
  Snowflake Guide: Building a Recommendation Engine Using Snowflake & Amazon SageMaker
  ☆31Updated 3 years ago
• aws-samples / python-data-science-template
  Template for a modular, Python-based data science project.
  ☆37Updated last year
• dmatrix / mlflow-workshop-part-2
  Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this four p…
  ☆39Updated 4 years ago
• awslabs / mlmax
  Example templates for the delivery of custom ML solutions to production so you can get started quickly without having to make too many de…
  ☆71Updated 10 months ago
• Spratiher9 / SparkDataset
  Instant search for and access to many datasets in Pyspark.
  ☆34Updated 2 years ago
• data-max-hq / ab-testing-in-ml
  Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.
  ☆40Updated 3 months ago
• noahgift / mlflow-project-best-practices
  An example MLFlow project
  ☆48Updated 3 months ago
• eugeneyan / python-collab-template
  🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.
  ☆145Updated last year
• vincentclaes / datajob
  Build and deploy a serverless data pipeline on AWS with no effort.
  ☆111Updated 2 years ago
• PacktPublishing / Amazon-SageMaker-Best-Practices
  Amazon SageMaker Best Practices, published by Packt
  ☆29Updated 2 years ago
• srivatsan88 / AI-Value-Realization-Framework
  This repository is to host template for calculating ROI on Artificial Intelligence projects
  ☆44Updated 5 years ago
• aws-samples / amazon-sagemaker-drift-detection
  This sample demonstrates how to setup an Amazon SageMaker MLOps end-to-end pipeline for Drift detection
  ☆60Updated last year
• xLaszlo / CQ4DS-notebook-sklearn-refactoring-exercise
  ☆30Updated 2 years ago
• edublancas / ml-testing
  🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
  ☆81Updated 3 years ago
• tecton-ai / apply-workshop-2022
  ☆17Updated 2 years ago
• eugeneyan / poc-docker-template
  Simple template showing how to set up docker for reproducible data science with Jupyter notebooks.
  ☆23Updated 10 months ago
• zzstoatzz / oreilly-workflow-orchestration
  ☆26Updated 3 years ago
• saturncloud / saturn-cloud-examples
  ☆19Updated 4 years ago