Projects in Awesome Lists tagged with bayesian-deep-learning

A curated list of projects in awesome lists tagged with bayesian-deep-learning .

• Sort

  • Recently synced
  • Stars

https://github.com/uncertainty-toolbox/uncertainty-toolbox

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

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

Last synced: 15 May 2025

https://github.com/kumar-shridhar/pytorch-bayesiancnn

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

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

Last synced: 15 May 2025

https://github.com/kumar-shridhar/PyTorch-BayesianCNN

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

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

Last synced: 26 Mar 2025

https://github.com/piesposito/blitz-bayesian-deep-learning

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

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

Last synced: 15 May 2025

https://github.com/piEsposito/blitz-bayesian-deep-learning

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

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

Last synced: 09 Oct 2025

https://github.com/OATML/bdl-benchmarks

Bayesian Deep Learning Benchmarks

bayesian-deep-learning benchmark-framework diabetic-retinopathy

Last synced: 01 May 2025

https://github.com/IntelLabs/bayesian-torch

A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch

bayesian-deep-learning bayesian-inference bayesian-layers bayesian-neural-networks deep-learning deep-neural-networks pytorch stochastic-variational-inference uncertainty-estimation uncertainty-neural-networks uncertainty-quantification

Last synced: 09 Oct 2025

https://github.com/intellabs/bayesian-torch

A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch

bayesian-deep-learning bayesian-inference bayesian-layers bayesian-neural-networks deep-learning deep-neural-networks pytorch stochastic-variational-inference uncertainty-estimation uncertainty-neural-networks uncertainty-quantification

Last synced: 14 May 2025

https://github.com/js05212/BayesianDeepLearning-Survey

Bayesian Deep Learning: A Survey

arxiv bayesian bayesian-deep-learning bdl deep-learning machine-learning neural-networks survey variational-autoencoders

Last synced: 14 Mar 2025

https://github.com/bayesgroup/variational-dropout-sparsifies-dnn

Sparse Variational Dropout, ICML 2017

bayesian-deep-learning compression icml

Last synced: 09 Apr 2025

https://github.com/google-deepmind/kfac-jax

Second Order Optimization and Curvature Estimation with K-FAC in JAX.

bayesian-deep-learning machine-learning optimization

Last synced: 14 Dec 2025

https://github.com/kumar-shridhar/master-thesis-bayesiancnn

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

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

Last synced: 03 Apr 2025

https://github.com/ericmjl/bayesian-deep-learning-demystified

In which I try to demystify the fundamental concepts behind Bayesian deep learning.

bayesian bayesian-deep-learning deep-learning deep-neural-networks deeplearning fundamental-concepts

Last synced: 13 Apr 2025

https://github.com/borchero/natural-posterior-network

Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, 2022)

bayesian-deep-learning deep-learning machine-learning pytorch uncertainty-estimation

Last synced: 06 Sep 2025

https://github.com/xxxnell/spatial-smoothing

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

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

Last synced: 18 Jan 2026

https://github.com/juliatrustworthyai/laplaceredux.jl

Effortless Bayesian Deep Learning through Laplace Approximation for Flux.jl neural networks.

bayesian-deep-learning julia laplace-approximation machine-learning

Last synced: 21 Jan 2026

https://github.com/dlr-rm/curvature

Official Code: Estimating Model Uncertainty of Neural Networks in Sparse Information Form, ICML2020.

bayesian-deep-learning bayesian-inference bayesian-optimization deep-learning laplace-approximation pytorch robotics

Last synced: 06 Oct 2025

https://github.com/lucadellalib/bdl-rul-svgd

Bayesian deep learning for remaining useful life estimation via Stein variational gradient descent

bayes-by-backprop bayesian-deep-learning bayesian-inference bayesian-neural-networks c-mapss deep-learning machine-learning predictive-maintenance python pytorch remaining-useful-life stein-variational-gradient-descent variational-inference

Last synced: 01 Sep 2025

https://github.com/lucadellalib/bayesian-deep-rul

Bayesian Deep Learning for Remaining Useful Life Estimation of Machine Tool Components

bayesian-deep-learning c-mapss condition-based-maintenance neural-network remaining-useful-life uncertainty

Last synced: 13 Apr 2025

https://github.com/lucadellalib/bayestorch

Lightweight Bayesian deep learning library for fast prototyping based on PyTorch

bayes-by-backprop bayesian-deep-learning bayesian-inference bayesian-neural-networks deep-learning machine-learning markov-chain-monte-carlo python pytorch stein-variational-gradient-descent uncertainty-quantification variational-inference

Last synced: 22 Jul 2025

https://github.com/samuelebortolotti/bears

Codebase for BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts.

bayesian-deep-learning neuro-symbolic-ai reasoning-shortcuts uncertainty

Last synced: 25 Sep 2025

https://github.com/aaltoml/sfr-experiments

Code accompanying ICLR 2024 paper "Function-space Parameterization of Neural Networks for Sequential Learning"

bayesian-deep-learning bayesian-inference bayesian-neural-networks deep-learning gaussian-processes laplace-approximation pytorch

Last synced: 16 Jan 2026

https://github.com/akhilpandey95/uncertainty

Work as part of ANL summer 2020 research on uncertainity quanitification methods in graph neural networks

aleatoric-uncertainty bayesian-deep-learning epistemic-uncertainty gnn graph keras pytorch uncertainty-quantification

Last synced: 08 Dec 2025

https://github.com/chromonav/neuroprobe

My excursions in the world of Artificial Neural Networks

artificial-intelligence bayesian-deep-learning data-science deep-learning deep-neural-networks genetic-algorithms genetic-programming machine-learning tutorials

Last synced: 20 Mar 2025

https://github.com/le-big-mac/vcl_diffusion

Variational continual learning of a conditional diffusion model to generate MNIST. Based on 'Conditional Diffusion MNIST'.

bayesian-deep-learning continual-learning deep-learning diffusion-models neural-network

Last synced: 06 Oct 2025

https://github.com/kaleidophon/tenacious-toucan

Master thesis for the MSc. Artificial Intelligence at the Universiteit van Amsterdam, 2019

bayesian-deep-learning bayesian-neural-networks diagnostic-classifiers gradients interventions lstm master-thesis mc-dropout rnn uncertainty

Last synced: 02 Apr 2025

https://github.com/mlech26l/bayesian_nn_safety

Code repository of the NeurIPS 2021 paper Infinite Time Horizon Safety of Bayesian Neural Networks

bayesian-deep-learning bayesian-neural-networks neural-networks

Last synced: 03 Apr 2025