-
It would be great if `rhine-bayes` had an implementation of Gaussian processes, somehow parametrized by their covariance. I know too little about how to sample from such a process.
CC @reubenharry
-
Hi, I've read your paper. Very smart ideas! So in your discussion I learned that this method can only deal with two images input. I recently read a paper about improvements on dust3r like methods. It'…
-
(base) C:\Users\rishu\gaussian-splatting>conda env create --file environment.yml
Channels:
- pytorch
- conda-forge
- defaults
- nvidia
Platform: win-64
Collecting package metadata (repodata…
-
GPRs lend themselves well to the ``fit()``, ``predict()`` methodology. Moreover, a well-done GPR will enable this package to be used for kriging, which has been used for the [solution of PDEs](https:/…
-
Will `intelex` ever support `scikit-learn` gaussian process regressors/classifiers?
-
**What is the main topic of this tutorial**: Gaussian Processe with scikit-learn or George
**Learning goals**
Examples of gaussian processes regression, learn to how properly control the errors, …
-
Another one to the zoo.
-
### Describe the workflow you want to enable
Allow fitting of a multivariate lognormal distribution over the data set.
### Describe your proposed solution
By the training fit for each point a l…
-
I'm setting up the RDR quickstart and the model runs but then I get an error on the regression step. Any idea what's going on?
07-18 09:22:01 INFO Start: regression module
07-18 09:22:06 ERROR…
-
It seems that sklearn does not train the parameters.
Maybe use pytorch instead?