Tutorial 2
Hyperparameter Optimization with Ray Tune and RAPIDS
This notebook extends the hands-on workflow to distributed and scalable hyperparameter search using Ray Tune together with GPU-accelerated data science tools.
What you will do
- run a Colab notebook that combines RAPIDS and Ray Tune
- explore scalable experiment management
- compare tuning workflows for GPU-enabled models
- reuse the notebook as a template for larger studies