ray-project / ray

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.
https://ray.io
Apache License 2.0
33.15k stars 5.61k forks source link

[docs infra] [design] Add difficulty level and framework badges to Example Gallery cards #41995

Open angelinalg opened 9 months ago

angelinalg commented 9 months ago

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

Link

No response

angelinalg commented 9 months ago

@simran-2797 will follow up with @matthewdeng on more details to ensure that we make the right implementation decisions.