Related Issues (20)
- Downsampling and upsampling with biorthogonal strategy
- Adapt to TGCC lifestyle HOT 1
- Move away from keras-tqdm for progress bars and use tensorflow add ons HOT 1
- CheekyDynamicThresholding Layer causes model save fail HOT 1
- Use distributed strategies to make use of the potential multiple GPUs (TGGC, Jean Zay) HOT 2
- Implementing Reweighting HOT 1
- Have a unit tests HOT 1
- Normalisation adjustment callback shouldn't work HOT 1
- Clear legacy functions, scripts and notebooks, rewrite everything with subclassed model HOT 1
- List needed models and logs
- Have the wavelet normalisation be done at init time HOT 1
- Have figures notebooks restored HOT 1
- Doc before it's too late
- Switch to Radam for optimization
- Groupping normalisation
- File "learning_wavelets.keras_utils.filters_cback" missing HOT 2
- Adapt callbacks and notebooks for exact reconstruction HOT 1
- Allow to have a training with different levels of noise HOT 2
- Include DnCNN in the comparison
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