Bayesian inference from binary causal models

Dynamically generate Apache Airflow DAGs from YAML configuration files

This provider contains operators, decorators and triggers to send a ray job from an airflow task

A CLI tool to streamline getting started with Apache Airflow™ and managing multiple Airflow projects

dagrad is a Python package that provides an extensible, modular platform for developing and experimenting with differentiable (gradient-based) structure learning methods.

Prediction of stocks for Google and Take Two Interactive using Snowflake ML feature and Airflow for scheduling.

Data warehouse and pipeline

This project demonstrates how to build and automate an ETL pipeline written in Python and schedule it using open source Apache Airflow orchestration tool on AWS EC2 instance.

Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure.

Astro SDK allows rapid and clean development of {Extract, Load, Transform} workflows using Python and SQL, powered by Apache Airflow.

TheEye supervisor

Setup Airflow and Implement Some Operators Deployed on K8s

Repository with airflow dags examples

Astro SDK extras project

Data Engineering with Kubernetes and Airflow

Automate your data pipelines using Apache Airflow with this ready-to-use DAG for data integration, ETL and workflow automation.

Distributed Computations Platform

ETL pipeline using Apache Airflow

Orchestrate your Databricks notebooks in Airflow and execute them as Databricks Workflows