RamiKrispin/useR2024-pipeline-workshop
Materials for the useR!2024 conference workshop "Deploy and Monitor ML Pipelines with R, Open Source, and Free Applications"
This project helps data scientists and analysts automate their machine learning workflows, specifically for forecasting tasks. It takes raw data, such as hourly electricity demand from an API, and automatically generates updated forecasts and monitoring dashboards. The primary users are data professionals who need to regularly refresh predictions and track model performance without manual intervention.
Use this if you need to deploy an R-based machine learning pipeline that automatically fetches data, makes predictions, and updates a monitoring dashboard on a regular schedule.
Not ideal if your primary goal is ad-hoc data analysis or if you are not working with machine learning models that require continuous deployment and monitoring.
Stars
57
Forks
5
Language
HTML
License
—
Category
Last pushed
Mar 19, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/mlops/RamiKrispin/useR2024-pipeline-workshop"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
mlflow/mlflow
The open source AI engineering platform. MLflow enables teams of all sizes to debug, evaluate,...
kitops-ml/kitops
An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets,...
aws-samples/mlops-e2e
MLOps End-to-End Example using Amazon SageMaker Pipeline, AWS CodePipeline and AWS CDK
tensorchord/envd
🏕️ Reproducible development environment for humans and agents
techiescamp/mlops-for-devops
MLOps for DevOps Engineers - A hands-on, project-based guide to Machine Learning Operations