bayesian-neural-networks - 技术专题深度解读

TuringLang / Turing.jl

Bayesian inference with probabilistic programming.

machine-learning julia-language artificial-intelligence probabilistic-programming bayesian-inference mcmc turing probabilistic-graphical-models hmc hamiltonian-monte-carlo bayesian-statistics probabilistic-models bayesian-neural-networks probabilistic-inference

Updated May 22, 2026
Julia

uncertainty-toolbox / uncertainty-toolbox

Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

visualization metrics scoring-rules toolbox uncertainty calibration visualizations uncertainty-quantification uncertainty-estimation bayesian-neural-networks bayesian-deep-learning sharpness predictive-uncertainty recalibration uncertainty-calibration uncertainty-metrics uncertainty-toolbox

Updated Mar 5, 2025
Python

JavierAntoran / Bayesian-Neural-Networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

Updated Oct 20, 2023
Jupyter Notebook

janosh / awesome-normalizing-flows

Sponsor

Awesome resources on normalizing flows.

machine-learning awesome-list bayesian-inference autoregressive variational-inference density-estimation normalizing-flows bayesian-neural-networks generative-modeling

Updated Mar 24, 2026
Python

kumar-shridhar / PyTorch-BayesianCNN

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

python pytorch bayesian-network image-recognition convolutional-neural-networks bayesian-inference bayes bayesian-networks variational-inference bayesian-statistics bayesian-neural-networks variational-bayes bayesian-deep-learning pytorch-cnn bayesian-convnets bayes-by-backprop aleatoric-uncertainties

Updated Apr 19, 2024
Python

piEsposito / blitz-bayesian-deep-learning

A simple and extensible library to create Bayesian Neural Network layers on PyTorch.

pytorch bayesian-neural-networks pytorch-tutorial bayesian-deep-learning pytorch-implementation bayesian-layers

Updated Sep 25, 2023
Python

kumar-shridhar / Master-Thesis-BayesianCNN

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

generative-adversarial-network convolutional-neural-networks bayesian-inference super-resolution bayesian-neural-networks bayesian-deep-learning

Updated Jul 1, 2019
TeX

ziatdinovmax / gpax

Gaussian Processes for Experimental Sciences

machine-learning bayesian-inference gaussian-processes bayesian-optimization active-learning bayesian-neural-networks deep-kernel-learning hypothesis-learning multi-fidelity-learning

Updated Jul 4, 2025
Python

lightning-uq-box / lightning-uq-box

Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning

deep-learning pytorch uncertainty-quantification earth-observation bayesian-neural-networks conformal-prediction pytorch-lightning predictive-uncertainty

Updated Apr 14, 2026
Python

brendanhasz / probflow

A Python package for building Bayesian models with TensorFlow or PyTorch

python data-science machine-learning statistics tensorflow pytorch bayesian-methods bayesian bayesian-inference bayesian-statistics bayesian-neural-networks

Updated Aug 10, 2022
Python

nitarshan / bayes-by-backprop

PyTorch implementation of "Weight Uncertainty in Neural Networks"

pytorch variational-inference bayesian-neural-networks bayesian-deep-learning bayes-by-backprop

Updated Apr 12, 2022
Jupyter Notebook

xwinxu / bayeSDE

Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"

deep-neural-networks deep-learning pytorch stochastic-differential-equations bayesian-neural-networks jax neural-ode neural-sde bayesian-layers sde-solvers

Updated Feb 11, 2022
Python

huawei-noah / BGCN

A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).

gcn bayesian-neural-networks graph-convolutional-network graph-learning graph-neural-networks graph-convolutional-neural-networks gnn bayesian-graph-neural-networks

Updated Sep 8, 2019
Python

ykwon0407 / UQ_BNN

Uncertainty quantification using Bayesian neural networks in classification (MIDL 2018, CSDA)

uncertainty-quantification bayesian-neural-networks

Updated Jul 30, 2019
Jupyter Notebook

anassinator / bnn

Bayesian Neural Network in PyTorch

neural-network pytorch artificial-intelligence dropout bayesian-inference bayesian-neural-networks bnn concrete-dropout

Updated May 3, 2024
Python

j-min / Dropouts

PyTorch Implementations of Dropout Variants

pytorch dropout variational-inference bayesian-neural-networks local-reparametrization-trick gaussian-dropout variational-dropout

Updated Jan 7, 2018
Jupyter Notebook

HolyBayes / pytorch_ard

Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks

machine-learning deep-learning pytorch neural-networks ard bayesian-neural-networks

Updated Nov 29, 2021
Python

ziatdinovmax / NeuroBayes

Fully and Partially Bayesian Neural Nets

flax bayesian-neural-networks jax numpyro probabilistic-machine-learning

Updated Apr 30, 2025
Python

cambridge-mlg / DUN

Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)

Updated Oct 3, 2023
Jupyter Notebook

xxxnell / spatial-smoothing

(ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness”.

neural-network pytorch uncertainty uncertainty-quantification uncertainty-estimation bayesian-neural-networks robustness bayesian-deep-learning

Updated Jul 15, 2022
Python

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