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# Bug / performance issue / build issue
I have followed the GPFlow notebook using the VGP model [https://gpflow.readthedocs.io/en/develop/notebooks/basics/classification.html](https://gpflow.re…
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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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Hi! I'm really enjoying and exploiting your team's implementation for my research.
Recently, I started to study variational inference to delve into entropy regularized policy algorithms,
by taki…
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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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# 🚀 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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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…
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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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In order to fit the model with data from other sources, like Prometheus, would be nice to have partial_fit implemented, so new data can be added periodically.