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I'm opening this ticket to gauge interest in the ML Model extension and see if others find value in updating this extension given many recent developments in ML, namely:
- a greater diversity of tasks, learning approaches, and asset types associated with ML models
- a greater diversity of compute architectures used to train and run inference (AMD, TPU, NVIDIA GPU, Apple Metal).
- Is "OS" a relevant field given this extension uses Docker?
- The proliferation of ML models in the earth observation industry and we currently don't have a popular metadata standard for indexing and search of geospatial ML models
Are there plans to revamp and maintain something like this in the future as a part of the transition from Radiant Earth MLHub > Source Cooperative? @kbgg
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