Anyscale

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  1. Ray tutorials from Anyscale

    Jupyter Notebook 631 207

  2. Tutorial for building LLM router

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

    Python 121 16

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

    Jupyter Notebook 107 19

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  • anyscale/fdn-dashboards’s past year of commit activity

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    Updated Mar 3, 2026

  • anyscale/templates’s past year of commit activity

    Jupyter Notebook

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    Apache-2.0

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    Updated Mar 2, 2026

  • anyscale/examples’s past year of commit activity

    Python

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    Updated Mar 1, 2026

  • anyscale/terraform-kubernetes-anyscale-foundation-modules’s past year of commit activity

    HCL

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    Updated Feb 25, 2026

  • anyscale/helm-charts’s past year of commit activity

    Go Template

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    Updated Feb 19, 2026

  • 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.

    anyscale/ray’s past year of commit activity

    Python

    2

    Apache-2.0

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    Updated Feb 19, 2026

  • anyscale/terraform-aws-anyscale-cloudfoundation-modules’s past year of commit activity

    HCL

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    Updated Feb 13, 2026

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    HCL

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    Updated Feb 11, 2026

  • demoguides Public

    Demo guide for Anyscale on Azure

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    Updated Feb 9, 2026

  • anyscale/public-serving-examples’s past year of commit activity

    Jupyter Notebook

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    Updated Dec 18, 2025