This repository provides PyTorch-compatible building blocks for Bayesian neural networks, enabling probabilistic deep learning where model weights are represented as distributions rather than point estimates. It includes ready-to-use Bayesian layers, utilities to convert standard neural networks to Bayesian variants, and training pipelines for regression and classification tasks with uncertainty estimates.