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I would like to build a neural network with a tunable number of layers. While I can tune the number of neurons per layer, I’m encountering issues when it comes to dynamically changing the number of la…
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Hi,
I would like to ask a question about the following imported sources.
You import several sources and I know pandas and numpy are contained in Pycharm.
How about other sources such as 'sklearn…
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### 🐛 Describe the bug
When specifying `training=False`, `torch.nn.functional.dropout` is essentially a no-operation. However, after AOTAutograd, `torch.nn.functional.dropout` always clones the input…
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To prevent dropouts, system must support sending of alerts to teachers, school principals and parents, if a student’s attendance
shows a risk of dropout. Alerts will be sent within the app itself and…
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when I perform the code in the https://github.com/SalesforceAIResearch/uni2ts/blob/main/example/moirai_forecast.ipynb, there are some error occur. How should I solve this problem?
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Hello, I am very interested in your work. When I was reproducing your code, I found that I was missing the dataset, and many of the files in the paths were not explained.
For example, the folder sha…
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Trying the example of `layer_map` [here](https://lux.csail.mit.edu/stable/api/Lux/contrib#Map-over-Layer), I wonder how to get back a specific layer given a `KeyPath`.
In the example doing on the par…
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Very similar to #67, except it allows for dropout before the first purchase: https://github.com/CamDavidsonPilon/lifetimes/blob/master/lifetimes/fitters/modified_beta_geo_fitter.py
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```
import torchvision.models as models
from torchsummary import summary
mobilenet = models.mobilenet_v2()
summary(mobilenet, (3, 224, 224))
```
On running this code, I got an error in the out…
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I am building an application on mercury v.2.4.3. A simplified version of the interface is as follows:
Cell 1:
```
model_type = mr.Select(label="Select model type", choices=["v1", "v2"])
n_pred…