{"id":13742244,"url":"https://github.com/ray-project/ray-educational-materials","last_synced_at":"2025-05-08T23:33:33.804Z","repository":{"id":62180444,"uuid":"537317100","full_name":"ray-project/ray-educational-materials","owner":"ray-project","description":"This is suite of the hands-on training materials that shows how to scale CV, NLP, time-series forecasting workloads with Ray.","archived":true,"fork":false,"pushed_at":"2024-02-13T00:29:49.000Z","size":25142,"stargazers_count":298,"open_issues_count":5,"forks_count":52,"subscribers_count":10,"default_branch":"main","last_synced_at":"2024-05-22T13:31:33.434Z","etag":null,"topics":["deep-learning","distributed-machine-learning","generative-ai","llm","llm-inference","llm-serving","ray","ray-data","ray-distributed","ray-serve","ray-train","ray-tune"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/ray-project.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":".github/CODEOWNERS","security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null}},"created_at":"2022-09-16T05:26:19.000Z","updated_at":"2024-05-21T13:16:04.000Z","dependencies_parsed_at":"2022-10-27T22:46:31.407Z","dependency_job_id":"641576c1-cdba-4764-9fb2-c366342ddefb","html_url":"https://github.com/ray-project/ray-educational-materials","commit_stats":null,"previous_names":[],"tags_count":4,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ray-project%2Fray-educational-materials","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ray-project%2Fray-educational-materials/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ray-project%2Fray-educational-materials/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ray-project%2Fray-educational-materials/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ray-project","download_url":"https://codeload.github.com/ray-project/ray-educational-materials/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":224788423,"owners_count":17370132,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["deep-learning","distributed-machine-learning","generative-ai","llm","llm-inference","llm-serving","ray","ray-data","ray-distributed","ray-serve","ray-train","ray-tune"],"created_at":"2024-08-03T05:00:25.277Z","updated_at":"2024-11-15T13:31:37.436Z","avatar_url":"https://github.com/ray-project.png","language":"Jupyter Notebook","funding_links":[],"categories":["Models and Projects"],"sub_categories":["Misc"],"readme":"# Ray Educational Materials\n\n© 2022, Anyscale Inc. All Rights Reserved\n\n\u003cimg src=\"https://technical-training-assets.s3.us-west-2.amazonaws.com/Generic/ray_logo.png\" width=\"30%\" loading=\"lazy\"\u003e\n\n\u003ca href=\"https://github.com/ray-project/ray-educational-materials\"\u003e\u003cimg src=\"https://img.shields.io/github/stars/ray-project/ray-educational-materials?logo=Ray\" alt=\"github-stars\"\u003e\u003c/a\u003e\n\u003ca href=\"https://forms.gle/9TSdDYUgxYs8SA9e8\"\u003e\u003cimg src=\"https://img.shields.io/badge/Ray-Join%20Slack-blue\" alt=\"join-ray-slack\"\u003e\u003c/a\u003e\n\u003ca href=\"https://discuss.ray.io/\"\u003e\u003cimg src=\"https://img.shields.io/badge/Discuss-Ask%20Questions-blue\" alt=\"discuss\"\u003e\u003c/a\u003e\n\u003ca href=\"https://twitter.com/raydistributed\"\u003e\u003cimg src=\"https://img.shields.io/twitter/follow/raydistributed?label=Follow\" alt=\"twitter\"\u003e\u003c/a\u003e\n\n[![Introductory notebooks test](https://github.com/ray-project/ray-educational-materials/actions/workflows/scheduled-test-introductory-modules.yml/badge.svg?branch=main)](https://github.com/ray-project/ray-educational-materials/actions/workflows/scheduled-test-introductory-modules.yml)\n[![Ray core notebooks test](https://github.com/ray-project/ray-educational-materials/actions/workflows/scheduled-test-ray-core.yml/badge.svg?branch=main)](https://github.com/ray-project/ray-educational-materials/actions/workflows/scheduled-test-ray-core.yml)\n[![Semantic segmentation notebooks test](https://github.com/ray-project/ray-educational-materials/actions/workflows/scheduled-test-semantic-segmentation.yml/badge.svg?branch=main)](https://github.com/ray-project/ray-educational-materials/actions/workflows/scheduled-test-semantic-segmentation.yml)\n[![Observability notebooks test](https://github.com/ray-project/ray-educational-materials/actions/workflows/scheduled-test-observability-modules.yml/badge.svg)](https://github.com/ray-project/ray-educational-materials/actions/workflows/scheduled-test-observability-modules.yml)\n\nWelcome to a collection of education materials focused on [Ray](https://www.ray.io/), a distributed compute framework for scaling your Python and machine learning workloads from a laptop to a cluster.\n\n## Recommended Learning Path\n\n| Module                                                                                                                                                                                                    | Description                                                                                                                                                                          |\n|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [Overview of Ray](https://github.com/ray-project/ray-educational-materials/blob/main/Introductory_modules/Overview_of_Ray.ipynb)                                                                          | An Overview of Ray and entire Ray ecosystem.                                                                                                                                         |\n| [Introduction to Ray AI Runtime](https://github.com/ray-project/ray-educational-materials/blob/main/Introductory_modules/Introduction_to_Ray_AI_Runtime.ipynb)                                            | An Overview of the Ray AI Runtime.                                                                                                                                                   |\n| [Ray Core: Remote Functions as Tasks](https://github.com/ray-project/ray-educational-materials/blob/main/Ray_Core/Ray_Core_1_Remote_Functions.ipynb)                                                      | Learn how arbitrary functions to be executed asynchronously on separate Python workers.                                                                                              |\n| [Ray Core: Remote Objects](https://github.com/ray-project/ray-educational-materials/blob/main/Ray_Core/Ray_Core_2_Remote_Objects.ipynb)                                                                   | Learn about objects that can be stored anywhere in a Ray cluster.                                                                                                                    |\n| [Ray Core: Remote Classes as Actors, part 1](https://github.com/ray-project/ray-educational-materials/blob/main/Ray_Core/Ray_Core_3_Remote_Classes_part_1.ipynb)                                          | Work with stateful actors.                                                                                                                                                           |\n| [Ray Core: Remote Classes as Actors, part 2](https://github.com/ray-project/ray-educational-materials/blob/main/Ray_Core/Ray_Core_4_Remote_Classes_part_2.ipynb)                                          | Learn \"Tree of Actors\" pattern.                                                                                                                                                      |\n| [Ray Core: Ray API best practices](https://github.com/ray-project/ray-educational-materials/blob/main/Ray_Core/Ray_Core_5_Best_Practices.ipynb)                                          | Learn Ray patterns \u0026 anti-patterns and best practices.                                                                                                                                                     |\n| [Scaling batch inference](https://github.com/ray-project/ray-educational-materials/blob/main/Computer_vision_workloads/Semantic_segmentation/Scaling_batch_inference.ipynb)                               | Learn about scaling batch inference in computer vision with Ray.                                                                                                                     |\n| [Optional: Batch inference with Ray Datasets](https://github.com/ray-project/ray-educational-materials/blob/main/Computer_vision_workloads/Semantic_segmentation/Batch_inference_with_Ray_Datasets.ipynb) | Bonus content for scaling batch inference using Ray Datasets.                                                                                                                        |\n| [Scaling model training](https://github.com/ray-project/ray-educational-materials/blob/main/Computer_vision_workloads/Semantic_segmentation/Scaling_model_training.ipynb)                                 | Learn about scaling model training in computer vision with Ray.                                                                                                                      |\n| [Ray observability part 1](https://github.com/ray-project/ray-educational-materials/blob/main/Observability/Ray_observability_part_1.ipynb)                                                               | Introducing the Ray State API and Ray Dashboard UI as tools for observing the Ray cluster and applications.                                                                          |\n| [LLM model fine-tuning and batch inference](https://github.com/ray-project/ray-educational-materials/blob/main/NLP_workloads/Text_generation/LLM_finetuning_and_batch_inference.ipynb)                    | Fine-tuning a Hugging Face Transformer (FLAN-T5) on the Alpaca dataset. Also includes distributed hyperparameter tuning and batch inference.                                         |\n| [Multilingual chat with Ray Serve](https://github.com/ray-project/ray-educational-materials/blob/main/Ray_Serve/Multilingual_Chat_with_Ray_Serve_GPU.ipynb)                                               | Serving a Hugging Face LLM chat model with Ray Serve. Integrating multiple models and services within Ray Serve (language detection and translation) to implement multilingual chat. |\n\n\n## Connect with the Ray community\n\nYou can learn and get more involved with the Ray community of developers and researchers:\n\n* [**Ray documentation**](https://docs.ray.io/en/latest)\n\n* [**Official Ray site**](https://www.ray.io/)\nBrowse the ecosystem and use this site as a hub to get the information that you need to get going and building with Ray.\n\n* [**Join the community on Slack**](https://forms.gle/9TSdDYUgxYs8SA9e8)\nFind friends to discuss your new learnings in our Slack space.\n\n* [**Use the discussion board**](https://discuss.ray.io/)\nAsk questions, follow topics, and view announcements on this community forum.\n\n* [**Join a meetup group**](https://www.meetup.com/Bay-Area-Ray-Meetup/)\nTune in on meet-ups to listen to compelling talks, get to know other users, and meet the team behind Ray.\n\n* [**Open an issue**](https://github.com/ray-project/ray/issues/new/choose)\nRay is constantly evolving to improve developer experience. Submit feature requests, bug-reports, and get help via GitHub issues.\n\n* [**Become a Ray contributor**](https://docs.ray.io/en/latest/ray-contribute/getting-involved.html)\nWe welcome community contributions to improve our documentation and Ray framework.\n\n\u003cimg src=\"https://technical-training-assets.s3.us-west-2.amazonaws.com/Generic/ray_logo.png\" width=\"30%\" loading=\"lazy\"\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fray-project%2Fray-educational-materials","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fray-project%2Fray-educational-materials","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fray-project%2Fray-educational-materials/lists"}