Popular GitHub Repositories for Apache Airflow

The practical use-cases of how to make your Machine Learning Pipelines robust and reliable using Apache Airflow.

This project was driven by the need to provide our client Mela, a startup focusing on simplifying cryptocurrency investments, with a reliable and scalable platform for backtesting trading strategies. Additionally, leveraging advanced forecasting methods would enhance the platform's capability to predict future price trends with greater accuracy.

?? MLOps Mini-Projects & Use Cases ?? Explore hands-on MLOps projects! ? From ML and DL to Generative AI, see how I deploy and manage models using cutting-edge tools. ?? Regular updates as I experiment with new MLOps solutions! ??

RAG with Apache Airflow, LlamaIndex, and?Qdrant

Using MLOps and ETL pipeline, an end-to-end machine learning model developed to forecast the Consignment Product.

This is an end-to-end AWS Cloud ETL project. This orchestration uses Apache Airflow on AWS EC2 as well as AWS Glue. It demonstrates how to build ETL pipeline that would perform data transform using Glue job/crawler as well as loading into a Redshift table. It also shows how to connect Amazon Athena to Glue Data Catalog, and Power BI to Redshift.

Cookbook for Dockerized MLOps