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Mednist Bundle #263
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Mednist Bundle #263
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Signed-off-by: Eric Kerfoot <eric.kerfoot@kcl.ac.uk>
Signed-off-by: Eric Kerfoot <eric.kerfoot@kcl.ac.uk>
Signed-off-by: Eric Kerfoot <eric.kerfoot@kcl.ac.uk>
Signed-off-by: Eric Kerfoot <eric.kerfoot@kcl.ac.uk>
Warvito
approved these changes
Feb 17, 2023
Co-authored-by: Walter Hugo Lopez Pinaya <ianonimato@hotmail.com>
Co-authored-by: Walter Hugo Lopez Pinaya <ianonimato@hotmail.com>
Co-authored-by: Walter Hugo Lopez Pinaya <ianonimato@hotmail.com>
Signed-off-by: Eric Kerfoot <eric.kerfoot@kcl.ac.uk>
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Addresses #29 at least partially.
This bundle definition provides the same example training scheme as the "Denoising Diffusion Probabilistic Models with MedNIST Dataset" notebook. It uses YAML files to define scripts and configurations including multiple GPU support. This is a template of a number of (to me at least) good practices that can be used for other networks and training schemes in general and not just for generative models.
I've stuck to the original notebook closely but if it's more helpful there are more features I would add for logging and loss/validation visualisation.
I have also not added a pre-trained model file yet since this is still private and the best practice is to upload the file somewhere public and use a
large_files.ymlfile in the model zoo to specify where along with hashes. This can be done for the actual model zoo upload later.