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

• jacobceles / intro-to-colab-pyspark-emr
  A tutorial that helps Big Data Engineers ramp up faster by getting familiar with PySpark dataframes and functions. It also covers topics …
  ☆20Updated 3 years ago
• ds-muzalevskiy / sagemaker-docker-deploy
  ☆18Updated 3 years ago
• Spratiher9 / SparkDataset
  Instant search for and access to many datasets in Pyspark.
  ☆34Updated 2 years ago
• tecton-ai / apply-workshop-2022
  ☆17Updated 2 years ago
• monte-carlo-data / data-downtime-challenge
  ☆86Updated 2 years ago
• jacopotagliabue / no-ops-machine-learning
  A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.
  ☆37Updated 4 years ago
• noahgift / databricks-zero-to-mlops
  ☆27Updated 3 years ago
• data-max-hq / ab-testing-in-ml
  Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.
  ☆40Updated 4 months ago
• Snowflake-Labs / sfguide-recommender-pipeline
  Snowflake Guide: Building a Recommendation Engine Using Snowflake & Amazon SageMaker
  ☆31Updated 3 years ago
• PipelineAI / katacoda-notebooks
  O'Reilly Katacoda
  ☆56Updated 2 years ago
• edublancas / ml-testing
  🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
  ☆81Updated 3 years ago
• eugeneyan / poc-docker-template
  Simple template showing how to set up docker for reproducible data science with Jupyter notebooks.
  ☆23Updated 11 months ago
• Spratiher9 / Sparkora
  Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟
  ☆53Updated 3 years ago
• PacktPublishing / Amazon-SageMaker-Best-Practices
  Amazon SageMaker Best Practices, published by Packt
  ☆29Updated 2 years ago
• YisongZou / Flask-Salary-Predictor-with-Random-Forest-Algorithm
  In this project, we are going to use a random forest algorithm (or any other preferred algorithm) from scikit-learn library to help predi…
  ☆9Updated 3 years ago
• noahgift / or
  Operations Research Algorithms
  ☆17Updated last year
• saturncloud / saturn-cloud-examples
  ☆19Updated 4 years ago
• elleobrien / automatic_testing
  ☆21Updated last year
• deliveryhero / pyconde2019-airflow-ml-workshop
  PyConDE & PyData Berlin 2019 Airflow Workshop: Airflow for machine learning pipelines.
  ☆47Updated last year
• datastacktv / kubeflow-introduction
  Code examples for the Introduction to Kubeflow course
  ☆14Updated 4 years ago
• 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
• jwills / de4ml
  Supporting materials/code examples for my course in data engineering for machine learning.
  ☆38Updated 2 years ago
• datastacktv / apache-beam-batch-processing
  Public source code for the Batch Processing with Apache Beam (Python) online course
  ☆18Updated 4 years ago
• sejalv / serverless-ml-workshop
  Deployment of ML models with Serverless APIs (AWS Lambda) and Docker
  ☆24Updated 4 years ago
• noahgift / mlflow-project-best-practices
  An example MLFlow project
  ☆48Updated 4 months ago
• adipolak / scaling-machine-learning-course
  Scaling Machine Learning in Three Week course in a collaboration with O'Reilly following the guidance of Adi Polak's book - Scaling Machi…
  ☆23Updated 2 years ago
• zzstoatzz / oreilly-workflow-orchestration
  ☆26Updated 3 years ago
• mlrun / demo-github-actions
  demo CI/CD pipeline using MLRun, Kubeflow and GitHub Actions
  ☆50Updated 2 years ago
• noahgift / aws-ml-guide
  [Video]AWS Certified Machine Learning-Specialty (ML-S) Guide
  ☆121Updated 4 months 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