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I have the following query:
```
{"start":"1533189600000","end":"1533222648727","timezone":null,"options":null,"padding":false,"queries":[{"aggregator":"none","metric":"active_pwr.386905.na.live.eda"…
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Sorry to bother you, but maybe this is an easy question for you.
Have you experience with the training of large-scale datasets with this MSECNet training pipeline?
I am stuck on the task of fine…
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if you have functions measured over a rich grid, you might want to downsample (e.g. go from minute-level wearable device data to 5 minute or one-hour increments). if that's your goal, you might prefer…
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There are two reasons we perform weighted optimization
1) we receive weights from the selector (manual prioritization)
2) a downsampling strategy outputs weights (e.g. loss/gradnorm)
However …
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## Description
I have a fairly simple convolutional neural network with two distinct convolutional layers. I would like to create a three layer convolutional network by applying the second convolut…
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When trying to downsample zen data to 150 Hz to use a Phoenix remote reference this error shows up: ValueError: conflicting sizes for dimension 'time': length 1149949 on 'time' and length 1347596 on {…
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Hi, first I wanna thank you for this amazing work ! Awesome demo and well-presented paper !
During my experiments with your codebase, I have some questions about the `0_preprocess_training_data.py`,…
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Hi,
A part of this bug has already been reported [here](https://github.com/open2c/cooltools/issues/377), I have the same issue on cooltools 0.5.4 version.
Also while writing this issue, I realize…
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For (field) data sets that were down-sampled, we could add that information so one can calculate the original grid spacing and size again that was used in the simulation.
Things that we have to make …