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Each benchmark should produce metrics measuring quality (e.g. accuracy, loss, etc.) and time. From this we can compute time to metric etc. We need to collect the current state of these for each benchmark in the repo. Each of these should be collected into a documentation page.
mnist
training
inference
em_denoise
training
inference
dms_structure
training
inference
slstr_cloud
training
inference
optical_damage
training
inference
stemdl
training
inference
hydronet
training
inference
The text was updated successfully, but these errors were encountered:
samueljackson92
changed the title
Check Training/Inference values of each Benchmark
Check Training/Inference values of each benchmark
Mar 21, 2023
Each benchmark should produce metrics measuring quality (e.g. accuracy, loss, etc.) and time. From this we can compute time to metric etc. We need to collect the current state of these for each benchmark in the repo. Each of these should be collected into a documentation page.
The text was updated successfully, but these errors were encountered: