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hi @micbtz any plans to submit to CRAN?
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Lately I tried various methods (Rome, Nerf, 3DGS) for road reconstruction, and haven’t yet found an ideal solution, and am wondering which direction is the right one that can lead to best road reconst…
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I see that for InputDrivenObservations, there are parameters `prior_mean` and `prior_sigma` which governs strength of the prior on GLM weights. Does this act as an L2 regularization? Otherwise, if I w…
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Post and upvote questions related to the next available chapter on optimization, initialization, regularization and model architectures for week 4/5 posted [here](https://docs.google.com/document/d/1g…
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Much overdue, given the poor documentation (and poor code from yours truly). This will lean heavily on newly pushed #155 and some pending changes in #157 . Before I jump in, I want to get feedback on …
mposa updated
4 years ago
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I trained DETR in a custom dataset. I applied data augmentation techniques by adding noise (small black squares in the image) to some of the input images.
However, my model seems to overfit pretty q…
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### Issue summary
Hi @wenwei202,
I'am currently trying to train a sparse network through SSL. But I have some big issues getting the training to converge. As soon as I add any kind of regulariza…
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```python
input_layer = Input(shape=(input_dim, ))
encoder = Dense(encoding_dim, activation="tanh",
activity_regularizer=regularizers.l1(10e-5))(input_layer)
encoder = Dense(int…
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Use at least one **filter** method and one **wrapper** method.
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There is already support for BilinearOperator in `pyproximal/pyproximal/utils/bilinear.py` and the PALM optimizer; however,
they do not scale to second-order methods such as Levenberg-Marquardt (LM) …