Merge branch 'main' of https://github.com/ziatdinovmax/NeuroBayes

README.md

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 ### Heteroskedastic noise
 By default, we assume constant observation noise across all inputs. However, this assumption often doesn't hold in real-world datasets which may exhibit input-dependent levels of noise. NeuroBayes offers heteroskedastic BNNs that can capture varying levels of noise in different regions of the data, allowing for more accurate uncertainty quantification.
 
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 The usage of a heteroskedastic BNN is straightforward and follows the same pattern as the standard BNN models:
 
 For fully Bayesian heteroskedastic NN: