GitHub topics: bayesian-neural-networks

Repositories

TuringLang/Turing.jl

Bayesian inference with probabilistic programming.

Language: Julia - Size: 39.4 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 2,164 - Forks: 228

piEsposito/blitz-bayesian-deep-learning

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

Language: Python - Size: 324 KB - Last synced at: 5 days ago - Pushed at: almost 2 years ago - Stars: 971 - Forks: 112

DavideDevetak24/Bayesian-Deep-Learning-for-Commodity-Price-Forecasting

Devetak, Davide and Scuor, Nicola, Bayesian Deep Learning for Commodity Price Forecasting: Applications to Steel Procurement and Hedging Strategies (August 20, 2025).

Language: Jupyter Notebook - Size: 3.52 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

IntelLabs/bayesian-torch

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

Language: Python - Size: 255 KB - Last synced at: 17 days ago - Pushed at: 5 months ago - Stars: 615 - Forks: 82

EricssonResearch/illia

Framework agnostic Bayesian Neural Network library.

Language: Python - Size: 2.15 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 6 - Forks: 0

lightning-uq-box/lightning-uq-box

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

Language: Python - Size: 47 MB - Last synced at: 10 days ago - Pushed at: 11 days ago - Stars: 195 - Forks: 22

janosh/awesome-normalizing-flows

Awesome resources on normalizing flows.

Language: Python - Size: 160 KB - Last synced at: 23 days ago - Pushed at: 2 months ago - Stars: 1,559 - Forks: 131

ziatdinovmax/NeuroBayes

Fully and Partially Bayesian Neural Nets

Language: Python - Size: 129 MB - Last synced at: 3 days ago - Pushed at: 5 months ago - Stars: 75 - Forks: 9

AkankshaMishra/wsBNN

Language: Python - Size: 15.1 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

PlaytikaOSS/pybandits

Python library for Multi-Armed Bandits

Language: Python - Size: 25.6 MB - Last synced at: 27 days ago - Pushed at: about 1 month ago - Stars: 44 - Forks: 2

SUwonglab/CausalBGM

An AI-powered Bayesian generative modeling approach for causal inference in observational studies

Language: Python - Size: 2.48 MB - Last synced at: 1 day ago - Pushed at: about 1 month ago - Stars: 8 - Forks: 5

sams-tom/Multimodal-AUV

Leveraging Bayesian Neural Networks for multimodal AUV data fusion, enabling precise and uncertainty-aware mapping of underwater environments.

Language: Python - Size: 3.1 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 4 - Forks: 0

anish-lakkapragada/bnn-predictive-distributions

Comparing predictive distributions from posteriors estimated by coordinate-ascent variational inference (CAVI) versus exact derivation in a univariate bayesian linear regression setting.

Language: Python - Size: 4.88 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0

ctpeterson/SwissFit

General-purpose library for fitting models to data with correlated Gaussian-distributed noise

Language: Python - Size: 2.4 MB - Last synced at: 11 days ago - Pushed at: 3 months ago - Stars: 3 - Forks: 0

AaltoML/sfr

PyTorch implementation of Sparse Function-space Representation of Neural Networks

Language: Jupyter Notebook - Size: 100 MB - Last synced at: 8 days ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 1

petrpro666/Uncertain

Uncertain is a Swift library for handling uncertain data, enabling reliable decisions with noisy or incomplete information. 🌟🚀

Language: Swift - Size: 27.3 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

brendanhasz/probflow

A Python package for building Bayesian models with TensorFlow or PyTorch

Language: Python - Size: 3.23 MB - Last synced at: 2 months ago - Pushed at: about 3 years ago - Stars: 176 - Forks: 16

ziatdinovmax/gpax

Gaussian Processes for Experimental Sciences

Language: Python - Size: 53.3 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 225 - Forks: 29

uncertainty-toolbox/uncertainty-toolbox

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

Language: Python - Size: 4.11 MB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 1,896 - Forks: 138

supernnova/SuperNNova

Open Source Photometric classification https://supernnova.readthedocs.io

Language: Python - Size: 6.38 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 31 - Forks: 8

JavierAntoran/Bayesian-Neural-Networks

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

Language: Jupyter Notebook - Size: 15.6 MB - Last synced at: 4 months ago - Pushed at: almost 2 years ago - Stars: 1,893 - Forks: 308

kumar-shridhar/PyTorch-BayesianCNN

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

Language: Python - Size: 66.2 MB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 1,498 - Forks: 329

kumar-shridhar/Master-Thesis-BayesianCNN

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

Language: TeX - Size: 18.6 MB - Last synced at: 21 days ago - Pushed at: about 6 years ago - Stars: 264 - Forks: 83

lucadellalib/bdl-rul-svgd

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

Language: Python - Size: 11.6 MB - Last synced at: 15 days ago - Pushed at: over 1 year ago - Stars: 24 - Forks: 1

lucadellalib/bayestorch

Lightweight Bayesian deep learning library for fast prototyping based on PyTorch

Language: Python - Size: 104 KB - Last synced at: 20 days ago - Pushed at: over 2 years ago - Stars: 13 - Forks: 0

EmanuelSommer/sampled-approx-posteriors

Code for the FPI @ ICLR (2025, oral) & AABI 2025 workshop paper: Approximate Posteriors in Neural Networks: A Sampling Perspective

Language: Python - Size: 37.8 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

Piyush-555/VCL-in-PyTorch

PyTorch implementation of Variational Continual Learning

Language: Python - Size: 819 KB - Last synced at: 3 months ago - Pushed at: about 4 years ago - Stars: 7 - Forks: 1

huawei-noah/BGCN

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

Language: Python - Size: 5.78 MB - Last synced at: 5 months ago - Pushed at: about 6 years ago - Stars: 159 - Forks: 46

HolyBayes/pytorch_ard

Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks

Language: Python - Size: 60.5 KB - Last synced at: 2 months ago - Pushed at: almost 4 years ago - Stars: 83 - Forks: 17

dmetivie/ABCMethods.jl

A Julia package implementing some Bayesian ABC methods

Language: Julia - Size: 1.06 MB - Last synced at: 6 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

kourouklides/artificial_neural_networks

A collection of Methods and Models for various architectures of Artificial Neural Networks

Language: Python - Size: 6.61 MB - Last synced at: 4 months ago - Pushed at: about 1 year ago - Stars: 41 - Forks: 11

mlpapers/neural-nets

Awesome papers on Neural Networks and Deep Learning

Size: 14.6 KB - Last synced at: 3 months ago - Pushed at: almost 5 years ago - Stars: 8 - Forks: 0

xxxnell/spatial-smoothing

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

Language: Python - Size: 17.4 MB - Last synced at: 4 months ago - Pushed at: about 3 years ago - Stars: 78 - Forks: 7

gd-zhang/noisy-K-FAC

Natural Gradient, Variational Inference

Language: Python - Size: 296 KB - Last synced at: 5 months ago - Pushed at: over 5 years ago - Stars: 29 - Forks: 5

dumingyang20/BABNet-pytorch

This is the original implementation of the paper ''Robust Bayesian attention belief network for radar work mode recognition''.

Language: Python - Size: 0 Bytes - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

thecml/UE-BNNSurv

Official TensorFlow implementation of Uncertainty Estimation in Deep Bayesian Survival Models (BHI 2023)

Language: Jupyter Notebook - Size: 1.23 MB - Last synced at: 29 days ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

HumBug-Mosquito/HumBugDB

Acoustic mosquito detection code with Bayesian Neural Networks

Language: Jupyter Notebook - Size: 22.8 MB - Last synced at: 10 months ago - Pushed at: almost 4 years ago - Stars: 47 - Forks: 16

j-min/Dropouts

PyTorch Implementations of Dropout Variants

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peterajhgraham/BNN_Biological_Network_Inference

This repository contains a Bayesian Neural Network (BNN) based analysis tool for biological network inference that can be used with various datasets. It is programmed in Python along with the torch, torchbnn, pandas, scikit-learn, and matplotlib libraries.

Language: Python - Size: 35.2 KB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Nandarhline/BayesianNN

BayesianNN: Implementation of BNNs for virtual monitoring (offshore wind farms) and uncertainty quantification

Language: Jupyter Notebook - Size: 2.69 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 1

marcosbenicio/bayesian-neural-network

Studies on Bayesian Neural Networks with application cases

Language: Jupyter Notebook - Size: 56.9 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

HumBug-Mosquito/MozzBNN

A BCNN prediction pipeline to discover mosquito sounds from audio.

Language: Jupyter Notebook - Size: 215 MB - Last synced at: 10 months ago - Pushed at: over 3 years ago - Stars: 11 - Forks: 1

chrhenning/uncertainty_based_ood

Exploring the link between uncertainty estimates obtained via "exact" Bayesian inference and out-of-distribution (OOD) detection.

Language: Jupyter Notebook - Size: 13.2 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 1

OnnoKampman/variational-nnet-sbm

Neural Network based Stochastic Blockmodel using Variational Inference

Language: Python - Size: 21.5 KB - Last synced at: 9 months ago - Pushed at: over 6 years ago - Stars: 3 - Forks: 0

juanfierro94/ct-scan-modeling-thesis-bayesian-deterministic

This repository contains code and resources for my thesis project on uncertainty estimation in computed tomography (CT) scan modeling. Explore Bayesian and deterministic neural network architectures for CT analysis and compare their effectiveness in quantifying uncertainty.

Language: Jupyter Notebook - Size: 106 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

AISIGSJTU/AS

Improving Bayesian Neural Networks by Adversarial Sampling

Language: Python - Size: 29.3 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 4 - Forks: 3

AISIGSJTU/IBBNN

Information Bound and its Applications in Bayesian Neural Networks

Language: Python - Size: 811 KB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0

AaltoML/sfr-experiments

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

Language: Jupyter Notebook - Size: 2.14 MB - Last synced at: 8 days ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

ENSTA-U2IS-AI/Symmetry-Aware-BNN

A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors paper presented @ICLR2024

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RylanSchaeffer/HarvardAM207-prior-networks

Harvard Fall 2019 Applied Math 207 A Primer and Critique of Prior Networks

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anassinator/bnn

Bayesian Neural Network in PyTorch

Language: Python - Size: 415 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 76 - Forks: 25

LukasErlenbach/active_learning_bnn

This directory contains a sample from the code which I wrote during my master thesis on Active Learning with Bayesian Neural Networks with Gaussian Processes. Two example scripts are provided which show: 1. the superiority of the GPA Sampler over random point selection, 2. the runtime improvement of the Fast GPA Sampler over the GPA Sampler

Language: Python - Size: 719 KB - Last synced at: 10 days ago - Pushed at: over 4 years ago - Stars: 6 - Forks: 1

pomonam/NoisyNaturalGradient

TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".

Language: Python - Size: 2.67 MB - Last synced at: about 1 month ago - Pushed at: over 6 years ago - Stars: 60 - Forks: 8

wataruhashimoto52/bayesian-deep-learning

Inference Algorithms for Bayesian Deep Learning

Language: Python - Size: 68.4 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

Samulix20/BNN_RISC-V

Optimized Bayesian Neural Network C library for integer only inference in embedded RISC-V Cores

Language: C - Size: 101 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

activatedgeek/understanding-bayesian-classification

On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification

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cambridge-mlg/DUN

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

Language: Jupyter Notebook - Size: 34.8 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 71 - Forks: 11

hugo-queniat/BayesianML-Project

This repository contains our work for the validation project of the course Bayesian Machine Learning, 2023/2024, ENS Paris-Saclay, Master MVA. It consists in a thorough study of the paper "Challenges in Markov chain Monte Carlo for Bayesian neural networks" by Theodore Papamarkou et al.

Language: Jupyter Notebook - Size: 13.6 MB - Last synced at: 8 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 1

martinferianc/quantised-bayesian-nets

On the Effects of Quantisation on Model Uncertainty in Bayesian Neural Networks

Language: Python - Size: 1.31 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 18 - Forks: 2

thomaspinder/bayesian_uncertainty_adversaries

Thesis: Detecting Adversaries in DQNs and Computer Vision using Bayesian CNNs

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berkcankapusuzoglu/kapusuzoglu.github.io

my blog

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dtak/ocbnn-public

General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.

Language: Python - Size: 61.3 MB - Last synced at: 2 months ago - Pushed at: about 3 years ago - Stars: 38 - Forks: 5

konstantinos-p/Bayesian-Neural-Networks-Reading-List

A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesian Deep Learning, by providing an overview of key papers. More details: "A Primer on Bayesian Neural Networks: Review and Debates"

Size: 82 KB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 29 - Forks: 2

pawni/BayesByHypernet

Code for the paper Implicit Weight Uncertainty in Neural Networks

Language: Jupyter Notebook - Size: 14.4 MB - Last synced at: 9 months ago - Pushed at: almost 6 years ago - Stars: 65 - Forks: 16

kumar-shridhar/PyTorch-Bayesian-Super-Resolution

Super Resolution using Bayesian CNN

Language: Python - Size: 2.14 MB - Last synced at: 5 months ago - Pushed at: almost 7 years ago - Stars: 7 - Forks: 3

abhimanyu911/bayesian_sdss

A Bayesian CNN approach to SDSS image data classification

Language: Jupyter Notebook - Size: 16.1 MB - Last synced at: 7 days ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 2

samuelkim314/DeepBO

Deep Bayesian Optimization for Problems with High-Dimensional Structure

Language: Python - Size: 2.29 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 12 - Forks: 0

FedericoVasile1/bayesian-cnn

Comparison of a network implemented via Variational Inference with the same network implemented via Monte Carlo Dropout

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Faptimus420/Sparse_VD_keras-core Fork of Cerphilly/Sparse_VD_tf2

Reimplementation of Sparse Variational Dropout in Keras-Core/Keras 3.0

Language: Python - Size: 62.5 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

ibarrond/VariationalAutoencoders

Comparison of Variational Autoencoders with Bayesian Neural Networks. Accuracy, Latent space, Reconstruction and White Noise filtering.

Language: Jupyter Notebook - Size: 1.71 GB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 26 - Forks: 16

dattv/BNN

Bayesian Neural Network

Language: Python - Size: 1.08 GB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

ykwon0407/UQ_BNN

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

Language: Jupyter Notebook - Size: 1.91 MB - Last synced at: almost 2 years ago - Pushed at: about 6 years ago - Stars: 126 - Forks: 21

armanihm/GDC

Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch

Language: Python - Size: 1.69 MB - Last synced at: almost 2 years ago - Pushed at: about 5 years ago - Stars: 44 - Forks: 15

marinadunn/thesis

Repo for my thesis research development at UC Riverside: "Classifying Galaxy Morphologies Using Bayesian Neural Networks for LSST"

Language: Jupyter Notebook - Size: 103 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0

xwinxu/bayeSDE

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

Language: Python - Size: 46.7 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 145 - Forks: 24

valentinpatrascu/A-study-on-Bayesian-Neural-Networks-on-simple-binary-and-multiclass-classification

Language: Jupyter Notebook - Size: 705 KB - Last synced at: 3 months ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

taldatech/tf-bgd

Bayesian Gradient Descent Algorithm Model for TensorFlow

Language: Jupyter Notebook - Size: 364 KB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 6 - Forks: 0

corentinpla/PMCnet_extended

AIS algorithm for BNN inference

Language: Python - Size: 36.6 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

nitarshan/bayes-by-backprop 📦

PyTorch implementation of "Weight Uncertainty in Neural Networks"

Language: Jupyter Notebook - Size: 68.4 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 157 - Forks: 47

Related Keywords

bayesian-neural-networks 139 deep-learning 53 bayesian-inference 43 machine-learning 33 pytorch 32 bayesian-deep-learning 28 variational-inference 24 uncertainty-quantification 18 deep-neural-networks 15 python 14 uncertainty 13 gaussian-processes 11 reinforcement-learning 10 tensorflow 10 neural-network 9 neural-networks 8 bayes-by-backprop 8 bayesian 8 uncertainty-estimation 8 bayesian-optimization 7 bayesian-methods 6 bayesian-statistics 6 convolutional-neural-networks 6 mcmc 6 uncertainty-neural-networks 6 bnn 5 keras 5 dropout 4 approximate-inference 4 probabilistic-programming 4 variational-bayes 4 active-learning 4 bayesian-network 4 monte-carlo-dropout 4 data-science 4 reproducible-research 4 edward 3 jax 3 bayesian-learning 3 generative-adversarial-network 3 classification 3 statistics 3 langevin-dynamics 3 local-reparametrization-trick 3 bayesian-layers 3 tensorflow-probability 3 probabilistic-inference 3 hmc 3 pyro 3 variational-dropout 3 variational-autoencoder 3 artificial-intelligence 3 natural-gradients 2 learnt-depth 2 out-of-distribution-detection 2 mc-dropout 2 network-depths 2 neural-architecture-search 2 kronecker-factored-approximation 2 uncertainty-calibration 2 reproducible-paper 2 probabilistic-deep-learning 2 uncertainty-toolbox 2 transfer-learning 2 galaxy-classification 2 python3 2 visualization 2 visualizations 2 robustness 2 lstm 2 acoustic-features 2 acoustic-model 2 audio 2 keras-tensorflow 2 graph-neural-networks 2 gcn 2 markov-chain-monte-carlo 2 stein-variational-gradient-descent 2 super-resolution 2 ood-detection 2 image-recognition 2 aleatoric-uncertainty 2 bayesian-networks 2 paper 2 bayesian-convnets 2 bayes 2 expectation-maximization 2 sgld 2 hamiltonian-monte-carlo 2 sampling-methods 2 predictive-uncertainty 2 probabilistic-models 2 empirical-bayes 2 regression 2 computer-vision 2 awesome-list 2 thompson-sampling 2 laplace-approximation 2 probabilistic-graphical-models 2 calibration 2