Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, persist, and execute on your own infrastructure.
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Updated
Jun 1, 2024 - Python
Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, persist, and execute on your own infrastructure.
Orchestrate your Databricks notebooks in Airflow and execute them as Databricks Workflows
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.
A CLI tool to streamline getting started with Apache Airflow™ and managing multiple Airflow projects
Distributed Computations Platform
📝 Statistical Rethinking colearning 2024
Dynamically generate Apache Airflow DAGs from YAML configuration files
Automate your data pipelines using Apache Airflow with this ready-to-use DAG for data integration, ETL and workflow automation.
Computation as Composable Blocks, can be extended to run on remote pipeline frameworks if necessary.
Code to draw DAG and SWIG figures for Mendelian randomization studies
Bayesian inference from binary causal models
causact: R package to accelerate computational Bayesian inference workflows in R through interactive visualization of models and their output.
TheEye supervisor
Dagster Directed Acyclic Graphs (DAGs) through Dagster with a simple Machine Learning Program.
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