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Dear @justinalsing,
I use a combination of dynamical linear models with shrinkage priors [(Arnold, 2015)](http://docs.jrnold.me.s3.amazonaws.com/dlm-shrinkage-2015-10-14.pdf) or repo [here](https://g…
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when run build script:
nohup python build.py --hf_model_dir /code/tensorrt_llm/tmp/Qwen/models--Qwen--Qwen-7B-Chat/snapshots/8d24619bab456ea5abe2823c1d05fc5edec19174/ \
--dtype flo…
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models/palette_tensoRF.py
class PLTRender(torch.nn.Module):
def __init__():
self.n_dim = 3 + len_palette
......
layer1 = torch.nn.Linear(self.in_m…
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**Is your feature request related to a problem? Please describe.**
Currently the volcano plot's x-axis label is set to "log2FC" but for my data the x-axis is actually showing the effects from linear …
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Normalisation of the output of the Xreg model is used in timesfm.py if we use covariance_forecast. But the code only renormalise the output of timesfm with covariance. And the output of Xreg model is…
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Hi All,
I've looked at the paper and source code, but got some questions. Based on the paper, we need to scale both activation X and weights W in the way of
```
Y = (X diag(s)^-1) * (diag(s) W…
ghost updated
5 months ago
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I'm trying out copilot on different topics.
For standard models, I get python code that looks valid in the examples. For models that we don't have yet (e.g. robust S-estimator) I get code that does…
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Hey!
I hope I am not missing something! As far as I understood (#27) model comparisons are only supported for `lm` objects? I am comparing linear mixed models created by the function `afex::mixed(…
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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 was looking into implementing likelihood ratio tests which already exists for [linear model](https://github.com/statsmodels/statsmodels/blob/master/statsmodels/regression/linear_model.py#L1563)
Rat…