kedro-kubeflow

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

All-in-One Development Tool based on PaddlePaddle（飞桨低代码开发工具）

Visualise your Kedro data and machine-learning pipelines and track your experiments.

A kedro-plugin for integration of mlflow capabilities inside kedro projects (especially machine learning model versioning and packaging)

Profile and monitor your ML data pipeline end-to-end

A tutorial on how to use kedro-mlflow plugin (https://github.com/Galileo-Galilei/kedro-mlflow) to synchronize training and inference and serve kedro pipeline

Kedro plugin to support running workflows on Microsoft Azure ML Pipelines

Kedro Plugin to support running workflows on GCP Vertex AI Pipelines

Wind Power Forecasting using Machine Learning techniques.

Using ChatGPT to build a Kedro ML pipeline and Streamlit frontend