Harry24k/bayesian-neural-network-pytorch
A lightweight PyTorch library for implementing Bayesian neural networks with built-in uncertainty quantification.
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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.
Frequently asked
- What is Harry24k/bayesian-neural-network-pytorch?
- A lightweight PyTorch library for implementing Bayesian neural networks with built-in uncertainty quantification.
- Is bayesian-neural-network-pytorch open source?
- Yes — Harry24k/bayesian-neural-network-pytorch is open source, released under the MIT license.
- What language is bayesian-neural-network-pytorch written in?
- Harry24k/bayesian-neural-network-pytorch is primarily written in Python.
- How popular is bayesian-neural-network-pytorch?
- Harry24k/bayesian-neural-network-pytorch has 561 stars on GitHub.
- Where can I find bayesian-neural-network-pytorch?
- Harry24k/bayesian-neural-network-pytorch is on GitHub at https://github.com/Harry24k/bayesian-neural-network-pytorch.