kedro-azureml

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.

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

1 week challenge

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)

Use QLoRA to tune LLM in PyTorch-Lightning w/ Huggingface + MLflow

Kedro Plugin to support running workflows on Kubeflow Pipelines

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 GCP Vertex AI Pipelines

Wind Power Forecasting using Machine Learning techniques.