Ray Tutorial Notebooks

Note

content/it/intro_to_ray/notebooks

These notebooks provide hands-on tutorials for learning Ray’s core components.

1. 01_ray_core.ipynb: Introduction to Ray core concepts and distributed computing

2. 02_ray_data.ipynb: Working with Ray Data for distributed data processing

3. 03_ray_train.ipynb: Distributed training with Ray Train

4. 04_ray_tune.ipynb: Hyperparameter tuning with Ray Tune

Available Notebooks

Ray Core

• Ray Core
• Connecting to a Ray cluster
• Ray Core - Tasks, Actors and Objects
• Ray Actors
• Object storage
• Specifying resources for Tasks and Actors
• Exercises
• Embeddings workflow
• Release resources

Ray Data

• Ray Data
• Introduction to Ray Data
• Imports
• Environment configuration
• Ray Data - Datasets
• Ray Data - API
• Exercises
• Release resources

Ray Train

• Ray Train
• Introduction to Ray Train
• Exercise
• Lightning Torch example
• Exercise
• Release resources

Ray Tune

• Ray Tune
• What is hyperparameter tuning?
• Core concepts
• Getting started with Ray Tune
• Hyperparameter tuning using Ray (DL framework)
• Exercise
• Hyperparameter tuning using schedulers (ASHA)
• Bonus: Hyperparameter tuning using Ray (ML framework)
• Release resources