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Popular repositories Loading

  1. academy academy Public

    Ray tutorials from Anyscale

    Jupyter Notebook 616 201

  2. llm-router llm-router Public

    Tutorial for building LLM router

    Python 224 21

  3. llm-continuous-batching-benchmarks llm-continuous-batching-benchmarks Public

    Python 120 22

  4. e2e-llm-workflows e2e-llm-workflows Public

    Fine-tune an LLM to perform batch inference and online serving.

    Python 112 14

  5. ray-summit-2023-training ray-summit-2023-training Public archive

    Jupyter Notebook 87 32

  6. factuality-eval factuality-eval Public

    Library for iPython notebooks for evaluating factuality.

    Jupyter Notebook 51 6

Repositories

Showing 10 of 92 repositories
  • examples Public
    Python 1 1 0 0 Updated Aug 24, 2025
  • terraform-aws-anyscale-cloudfoundation-modules Public

    Terraform modules to manage AWS cloud infrastructure for Anyscale.

    HCL 6 1 1 1 Updated Aug 23, 2025
  • multimodal-ai Public

    Multimodal AI workloads: batch inference, model training and online serving.

    Jupyter Notebook 51 13 0 0 Updated Aug 22, 2025
  • helm-charts Public

    Public Helm charts from Anyscale

    Smarty 0 3 2 1 Updated Aug 21, 2025
  • Python 0 Apache-2.0 0 0 0 Updated Aug 16, 2025
  • templates Public
    Jupyter Notebook 19 Apache-2.0 13 2 21 Updated Aug 14, 2025
  • ray Public Forked from ray-project/ray

    Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

    Python 0 Apache-2.0 6,887 0 0 Updated Aug 4, 2025
  • terraform-kubernetes-anyscale-foundation-modules Public

    Anyscale Kubernetes Foundation Modules

    HCL 1 11 1 2 Updated Jul 29, 2025
  • e2e-xgboost Public

    End-to-end example demonstrating how to scale XGBoost workloads using Ray Data, Train, and Serve

    Jupyter Notebook 1 1 0 0 Updated Jul 14, 2025
  • Jupyter Notebook 2 0 0 0 Updated Jul 14, 2025