bayesian-neural-networks

There are 29 repositories under bayesian-neural-networks topic.

TuringLang / Turing.jl
Bayesian inference with probabilistic programming.
artificial-intelligence bayesian-inference bayesian-neural-networks bayesian-statistics hamiltonian-monte-carlo hmc julia-language machine-learning mcmc probabilistic-graphical-models probabilistic-inference probabilistic-models probabilistic-programming turing
Language:Julia 1964
JavierAntoran / Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
approximate-inference bayes-by-backprop bayesian-inference bayesian-neural-networks classification deep-learning hmc kronecker-factored-approximation langevin-dynamics local-reparametrization-trick mc-dropout mcmc out-of-distribution-detection pytorch regression reproducible-research sgld uncertainty uncertainty-neural-networks variational-inference
Language:Jupyter Notebook 1742
uncertainty-toolbox
uncertainty-toolbox / uncertainty-toolbox
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
uncertainty uncertainty-quantification uncertainty-estimation uncertainty-metrics calibration sharpness uncertainty-toolbox metrics visualizations visualization recalibration predictive-uncertainty scoring-rules uncertainty-calibration toolbox bayesian-neural-networks bayesian-deep-learning
Language:Python 1717
kumar-shridhar / PyTorch-BayesianCNN
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
convolutional-neural-networks bayesian-network bayesian-convnets bayes-by-backprop pytorch python pytorch-cnn bayesian-neural-networks bayesian-deep-learning bayesian-inference bayesian-statistics image-recognition aleatoric-uncertainties bayes bayesian-networks variational-inference variational-bayes
Language:Python 1353
janosh / awesome-normalizing-flows
Awesome resources on normalizing flows.
autoregressive awesome-list bayesian-inference bayesian-neural-networks density-estimation generative-modeling machine-learning normalizing-flows variational-inference
Language:Python 1299
piEsposito / blitz-bayesian-deep-learning
A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
pytorch pytorch-implementation pytorch-tutorial bayesian-layers bayesian-deep-learning bayesian-neural-networks
Language:Python 886
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
Language:Python 451
kumar-shridhar / Master-Thesis-BayesianCNN
Master Thesis on Bayesian Convolutional Neural Network using Variational Inference
bayesian-inference bayesian-neural-networks convolutional-neural-networks super-resolution generative-adversarial-network bayesian-deep-learning
Language:TeX 262
gpax
ziatdinovmax / gpax
Gaussian Processes for Experimental Sciences
gaussian-processes bayesian-inference machine-learning active-learning bayesian-optimization deep-kernel-learning hypothesis-learning bayesian-neural-networks multi-fidelity-learning
Language:Python 180
brendanhasz / probflow
A Python package for building Bayesian models with TensorFlow or PyTorch
machine-learning data-science python tensorflow statistics bayesian-inference bayesian-statistics bayesian-methods bayesian-neural-networks pytorch bayesian
Language:Python 165
nitarshan / bayes-by-backprop
PyTorch implementation of "Weight Uncertainty in Neural Networks"
pytorch bayes-by-backprop bayesian-deep-learning bayesian-neural-networks variational-inference
Language:Jupyter Notebook 165
xwinxu / bayeSDE
Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
sde-solvers stochastic-differential-equations pytorch bayesian-layers jax neural-sde neural-ode bayesian-neural-networks deep-learning deep-neural-networks
Language:Python 154
huawei-noah / BGCN
A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).
graph-convolutional-network graph-learning graph-neural-networks gcn graph-convolutional-neural-networks bayesian-neural-networks bayesian-graph-neural-networks gnn
Language:Python 148
ykwon0407 / UQ_BNN
Uncertainty quantification using Bayesian neural networks in classification (MIDL 2018, CSDA)
uncertainty-quantification bayesian-neural-networks
Language:Jupyter Notebook 129
j-min / Dropouts
PyTorch Implementations of Dropout Variants
bayesian-neural-networks dropout gaussian-dropout local-reparametrization-trick pytorch variational-dropout variational-inference
Language:Jupyter Notebook 86
HolyBayes / pytorch_ard
Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks
pytorch bayesian-neural-networks ard deep-learning neural-networks machine-learning
Language:Python 81
anassinator / bnn
Bayesian Neural Network in PyTorch
artificial-intelligence bayesian-inference bayesian-neural-networks bnn concrete-dropout dropout neural-network pytorch
Language:Python 75
lightning-uq-box / lightning-uq-box
Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning
conformal-prediction pytorch uncertainty-quantification pytorch-lightning bayesian-neural-networks deep-learning predictive-uncertainty earth-observation
Language:Python 72
xxxnell / spatial-smoothing
(ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness”.
uncertainty uncertainty-estimation uncertainty-quantification robustness neural-network bayesian-neural-networks bayesian-deep-learning pytorch
Language:Python 72
cambridge-mlg / DUN
Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)
bayesian-inference variational-inference bayesian-neural-networks bayesian-deep-learning reproducible-research reproducible-paper network-depths uncertainty robustness neural-architecture-search machine-learning deep-learning neural-networks uncertainty-neural-networks uncertainty-quantification expectation-maximization probabilistic-inference probabilistic-neural-network learnt-depth pytorch
Language:Jupyter Notebook 71
pawni / BayesByHypernet
Code for the paper Implicit Weight Uncertainty in Neural Networks
bayesian-neural-networks deep-learning deep-neural-networks tensorflow variational-inference
Language:Jupyter Notebook 65
UString
Cogito2012 / UString
[ACM MM 2020] Uncertainty-based Traffic Accident Anticipation
accidents bayesian-neural-networks spatio-temporal-modeling traffic-analysis uncertainty-estimation
Language:Python 59
pomonam / NoisyNaturalGradient
TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".
natural-gradients bayesian-neural-networks bayesian-inference variational-inference
Language:Python 59
sungyubkim / MCDO
A pytorch implementation of MCDO(Monte-Carlo Dropout methods)
bayesian-neural-networks bayesian-deep-learning variational-inference dropout variational-dropout uncertainty-neural-networks pytorch monte-carlo-dropout
Language:Jupyter Notebook 52
armanihm / GDC
Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch
graphneuralnetwork deep-learning deep-neural-networks gcn gcnn machine-learning bayesian-neural-networks bayesian-deep-learning graph-deep-learning graph-neural-networks graph-neural-network graph-convolutional-networks
Language:Python 49
kourouklides / artificial_neural_networks
A collection of Methods and Models for various architectures of Artificial Neural Networks
machine-learning machine-learning-algorithms machinelearning neural-networks bayesian-inference bayesian-learning deep-learning deep-neural-networks bayesian-neural-networks tensorflow edward python variational-inference probabilistic-models probabilistic-modeling keras artificial-neural-networks data-science edward2
Language:Python 41
ocbnn-public
dtak / ocbnn-public
General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.
bayesian-neural-networks bayesian-deep-learning bnns oc-bnn paper
Language:Python 38
HumBug-Mosquito / HumBugDB
Acoustic mosquito detection code with Bayesian Neural Networks
feature-extraction bayesian-neural-networks pytorch audio acoustic-features acoustic-model keras-tensorflow
Language:Jupyter Notebook 38
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"
approximate-inference bayes-by-backprop bayesian-inference bayesian-neural-networks deep-learning hmc kronecker-factored-approximation langevin-dynamics local-reparametrization-trick mcmc sgld uncertainty uncertainty-neural-networks variational-inference
35
confiwent / BayesMPC
The implementation of "Uncertainty-Aware Robust Adaptive Video Streaming with Bayesian Neural Network and Model Predictive Control" (NOSSDAV 2021)
adaptive-video-streaming bayesian-inference bayesian-neural-networks model-predictive-control video-on-demand bandwidth-prediction
Language:Python 30
thudzj / ScalableBDL
Code for "BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning"
bayesian-deep-learning bayesian-neural-networks fine-tuning uncertainty-quantification adversarial-detection ood-detection
Language:Python 30
gd-zhang / noisy-K-FAC
Natural Gradient, Variational Inference
bayesian-inference bayesian-neural-networks natural-gradients variational-inference uncertainty-estimation
Language:Python 28
supernnova / SuperNNova
Open Source Photometric classification https://supernnova.readthedocs.io
cosmology supernova deep-learning arxiv reproducible-science recurrent-neural-networks pandas python pytorch bayesian-neural-networks bayesian-deep-learning bayesian-statistics
Language:Python 28
dtak / hip-mdp-public
Code for training and testing a Hidden Parameter Markov Decision Process, used to facilitate the transfer of learning
reinforcement-learning transfer-learning bayesian-neural-networks dqn
Language:Python 27
ibarrond / VariationalAutoencoders
Comparison of Variational Autoencoders with Bayesian Neural Networks. Accuracy, Latent space, Reconstruction and White Noise filtering.
variational-autoencoder variational-inference bayesian-neural-networks machine-learning gaussian-processes generative-adversarial-network
Language:Jupyter Notebook 26
MauroCE / PythonBRMLtoolbox
Python 3.7 version of David Barber's MATLAB BRMLtoolbox
machine-learning bayesian-statistics bayesian-network bayesian-inference graphical-models matlab markov-networks model-selection statistics-toolbox statistics bayesian bayesian-methods bayesian-optimization bayesian-networks bayesian-neural-networks bayesian-data-analysis supervised-learning supervised-machine-learning supervised-learning-algorithms bayesian-analysis
Language:Python 24

bayesian-neural-networks

TuringLang / Turing.jl

JavierAntoran / Bayesian-Neural-Networks

uncertainty-toolbox / uncertainty-toolbox

kumar-shridhar / PyTorch-BayesianCNN

janosh / awesome-normalizing-flows

piEsposito / blitz-bayesian-deep-learning

IntelLabs / bayesian-torch

kumar-shridhar / Master-Thesis-BayesianCNN

ziatdinovmax / gpax

brendanhasz / probflow

nitarshan / bayes-by-backprop

xwinxu / bayeSDE

huawei-noah / BGCN

ykwon0407 / UQ_BNN

j-min / Dropouts

HolyBayes / pytorch_ard

anassinator / bnn

lightning-uq-box / lightning-uq-box

xxxnell / spatial-smoothing

cambridge-mlg / DUN

pawni / BayesByHypernet

Cogito2012 / UString

pomonam / NoisyNaturalGradient

sungyubkim / MCDO

armanihm / GDC

kourouklides / artificial_neural_networks

dtak / ocbnn-public

HumBug-Mosquito / HumBugDB

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

confiwent / BayesMPC

thudzj / ScalableBDL

gd-zhang / noisy-K-FAC

supernnova / SuperNNova

dtak / hip-mdp-public

ibarrond / VariationalAutoencoders

MauroCE / PythonBRMLtoolbox