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Maria Guaranda-Cabezas
diffwave
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inference
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Created with Raphaël 2.2.0
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adds folder of trained models w generated data
main
main
adds slurms scripts and improvements in documentation
adapts code to new experiment with new noise schedule
Merge branch 'inference' into 'main'
adds comments to code
inference
inference
adds license
Merge branch 'inference' into 'main'
organizes code for inference, in favor of 1D trajectories
Merge branch 'inference' into 'main'
adds changes for another experiment
adds corrections of params and summary writer
supports inference of 1D lagrangian trajectories
saves last checkpoint
Merge branch 'uses_trajectories' into 'main'
updates requirements
solves problem of pickle of lambda transformation
Merge branch 'uses_trajectories' into 'main'
adds parameter to control frequency of checkpoints
Merge branch 'main' into uses_trajectories
adapts code to train with trajectories in 1D
hot fixes so it can run in the cluster
loads input data correctly; still have to address normalization
updates requirements file
adds some comments about the parameters diffwave uses
adapts code to work with the lagrangian trajectories dataset
adapts inference to be run in cpu too
adds code to train a diffwave model with turbulence data
Initial commit
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