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# 🐛 Bug
Hello,
I am trying to compare the results of a simple model that predicts the heat of a fluid by taking into account its dimensionless velocity, dimensionless local temperature, dimension…
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Hi Reza,
I've noticed that in this version of miRador, RPM normalization is applied by default. While this normalization can be useful, it may inadvertently remove low-expressed fragments that hold…
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### New Issue Checklist
- [ ] I have read the [Contribution Guidelines](https://github.com/tensorlayer/tensorlayer/blob/master/CONTRIBUTING.md)
- [ ] I searched for [existing GitHub issues](https:…
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Installed smoothly on 21/09/2021 after #192 had been addressed
Unfortunately 'exp
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Hi Nicky,
Thanks for creating this repo with so much organization & thorough documentation!
I am trying to replicate your work & found that in line no. 45 of pre-processing/prep_train_data2020+2…
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## Problem
#### WARNING: I'm not a scientist.
This is related to #52, specifically the `standard_name` used for visible channel data returned by SatPy. We return visible channel data in the "ref…
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Hi there!
I've realized that in the dataset generation, the energy of the 128-sample data vectors is being normalized to unity as follows (lines 65 and 66):
![energyNormalization](https://user-…
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Hello, I want to make prediction from this:
```shape = std::vector{1, 32, 3, 1};
auto input = cppflow::tensor(points_teeth, shape);
for (auto s: model_points.get_operations()){
std::cout
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Hi, I looked at the dataloader and training codes completely and noticed that you are subtracting the Imagenet mean from the input RGB images (GTA and Cityscapes) but not normalizing the data to eithe…