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In [this example](https://www.tensorflow.org/probability/examples/STS_approximate_inference_for_models_with_non_Gaussian_observations) a linear Gaussian state space model is used over unconstrained Po…
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This issue can be a collection and discussion of methods we could add to the library at some point, in no particular order :) Feel free to comment with suggestions and if you feel comfortable, you are…
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This issue is to document our overal goals, ideas, and related publications. I'll keep the top of the issue as a clean summarry of the discussion in this thread.
## Goal of the Hackathon
Our goa…
EiffL updated
2 years ago
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Im currently using models from skikit that have been exported to Onnx but I was curious if I had a model for GPR in either PyTorch or TensorFlow would it be usable from RTNeural?
I think the Tensor…
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Hi,
I'm new to Julia and Gaussian processes but recently came across a couple of interesting papers about non-stationary spectral mixture kernels [1], [2]. I can see that you have apready implement…
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it's working! Now i'm looking ahead to the next step. I'd like to apply a gaussian blur to each raster that was previously generated.
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Consider a kernel of the form
```julia
(k)(x::Vector, x′::Vector) = prod(map(k.ks, x, x′))
```
where `k.ks` is a collection of kernels which can be applied to single-dimensions, and the dimensiona…
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Hi all,
First of all I want to say what a super nice package this is, thanks for the hard work!
Second, I am not sure if this is an issue on the pyclesperanto side, or on the multiprocessing packa…
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It would be nice if we could do:
``` python
rf = RandomForestRegressor()
rf.fit(X, y)
y_mean, y_var = rf.predict(X, ret_variance=True)
```
Same for BaggingRegressor.
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Hi Carl, hope you're having a great quarter. I was looking into some GP stuff for my own research and stumbled on the `chol2inv` function in base R. I haven't played with it yet, but it seems like i…