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  1. ray Public

    Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.

    Python 25.8k 4.5k

  2. This is suite of the hands-on training materials that shows how to scale CV, NLP, time-series forecasting workloads with Ray.

    Jupyter Notebook 63 16

  3. kuberay Public

    A toolkit to run Ray applications on Kubernetes

    Go 356 157

  4. Tracking Ray Enhancement Proposals

    28 13

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