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Can KLLoss and re-parameters be customized?
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Hi. I was trying to use decontX on my data and compare it to uncorrected data. While I see that each cell has been assigned a contamination score, in my analysis, I don't see any change in the UMI cou…
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I have started this package by trying to fit a Bayesian linear model using a spike and slab prior to select groups of variables in/out of the model. To move from here to the multi-outcome model I'm ac…
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# 🚀 Feature Request
Can I use Libtorch to load a Gpytorch model?
## Motivation
Since I just want to deploy Gpytorch model using C++ frontend.
But after I followed using Libtorch tutorial to …
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I have been thinking a bit about hierarchically structured data and how to combine the ideas in scVI with nested random effects models.
A very typical nested experimental design in the field is wit…
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TFP Layers use `self.add_loss` in order to accumulate regularizers on TensorFlow Distributions over the kernel and bias parameters (e.g., KL penalties for variational inference). This is not supported…
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error:
```
DIAGNOSTIC(S) FROM PARSER:
Info: integer division implicitly rounds to integer. Found int division: lenth_v / shards
Positive values rounded down, negative values rounded up or down in…
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I have been trying to fit Auto Regressive model by Mean Field ADVI. But using `tf.vectorized_map` while calculating log_prob results in XLA and Dtype issues.
Code Snippet
```python
import nump…
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Hi, has anybody succeeded in replicating the results of the paper Doubly Stochastic Variational Inference for Deep Gaussian Processes by Salimbeni and Deisenroth in GPyTorch? There is an example DeepG…
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This _may_ be just a breakage in pytest. The error is in fixture initialization:
```
fixturedef =
request =
def pytest_fixture_setup(fixturedef, request):
""" Execution of fixtur…