Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Add badges (chips) for Beginner, Intermediate, Advanced, and the frameworks like PyTorch, Lightning, Transformers, Accelerate, DeepSpeed, TensorFlow, Horovod. Basically, to realize our original vision to replace the Examples pages in each of the libraries, we don't want to lose the organization and structure that can be really useful for readers: https://docs.ray.io/en/latest/train/examples.html
Description
Add badges (chips) for Beginner, Intermediate, Advanced, and the frameworks like PyTorch, Lightning, Transformers, Accelerate, DeepSpeed, TensorFlow, Horovod. Basically, to realize our original vision to replace the Examples pages in each of the libraries, we don't want to lose the organization and structure that can be really useful for readers: https://docs.ray.io/en/latest/train/examples.html
@simran-2797 @peytondmurray
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