bayesian-neural-networks

There are 32 repositories under bayesian-neural-networks topic.

TuringLang / Turing.jl
Bayesian inference with probabilistic programming.
artificial-intelligence bayesian-inference bayesian-neural-networks bayesian-statistics hacktoberfest hamiltonian-monte-carlo hmc julia-language machine-learning mcmc probabilistic-graphical-models probabilistic-inference probabilistic-models probabilistic-programming turing
Language:Julia 2182
uncertainty-toolbox
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
Language:Python 1947
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 1936
janosh / awesome-normalizing-flows
Awesome resources on normalizing flows.
normalizing-flows bayesian-neural-networks variational-inference density-estimation generative-modeling autoregressive machine-learning awesome-list bayesian-inference
Language:Python 1578
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 1537
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
Language:Python 979
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-neural-networks stochastic-variational-inference uncertainty-estimation pytorch bayesian-layers deep-learning bayesian-inference uncertainty-quantification uncertainty-neural-networks deep-neural-networks
Language:Python 634
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 264
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 228
lightning-uq-box / lightning-uq-box
Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning
bayesian-neural-networks conformal-prediction deep-learning earth-observation predictive-uncertainty pytorch pytorch-lightning uncertainty-quantification
Language:Python 204
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 176
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 176
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 170
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 162
ykwon0407 / UQ_BNN
Uncertainty quantification using Bayesian neural networks in classification (MIDL 2018, CSDA)
uncertainty-quantification bayesian-neural-networks
Language:Jupyter Notebook 137
anassinator / bnn
Bayesian Neural Network in PyTorch
artificial-intelligence bayesian-inference bayesian-neural-networks bnn concrete-dropout dropout neural-network pytorch
Language:Python 91
j-min / Dropouts
PyTorch Implementations of Dropout Variants
dropout gaussian-dropout variational-dropout variational-inference local-reparametrization-trick bayesian-neural-networks pytorch
Language:Jupyter Notebook 87
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 84
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 79
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 78
UString
Cogito2012 / UString
[ACM MM 2020] Uncertainty-based Traffic Accident Anticipation
traffic-analysis accidents spatio-temporal-modeling uncertainty-estimation bayesian-neural-networks
Language:Python 78
NeuroBayes
ziatdinovmax / NeuroBayes
Fully and Partially Bayesian Neural Nets
bayesian-neural-networks probabilistic-machine-learning flax jax numpyro
Language:Python 77
pawni / BayesByHypernet
Code for the paper Implicit Weight Uncertainty in Neural Networks
deep-learning variational-inference deep-neural-networks tensorflow bayesian-neural-networks
Language:Jupyter Notebook 65
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 62
pomonam / NoisyNaturalGradient
TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".
natural-gradients bayesian-neural-networks bayesian-inference variational-inference
Language:Python 60
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
58
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 57
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 56
pybandits
PlaytikaOSS / pybandits
Python library for Multi-Armed Bandits
bayesian-neural-networks multi-armed-bandits reinforcement-learning thompson-sampling offline-policy-evaluation contextual-bandit-algorithms contextual-bandits multi-armed-bandit multiarmed-bandits stochastic-bandit stochastic-bandit-algorithms
Language:Python 49
kourouklides / artificial_neural_networks
A collection of Methods and Models for various architectures of Artificial Neural Networks
artificial-neural-networks bayesian-inference bayesian-learning bayesian-neural-networks data-science deep-learning deep-neural-networks edward edward2 keras machine-learning machine-learning-algorithms machinelearning neural-networks probabilistic-modeling probabilistic-models python tensorflow variational-inference
Language:Python 41
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 40
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
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 33
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 32
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 31
gd-zhang / noisy-K-FAC
Natural Gradient, Variational Inference
bayesian-inference bayesian-neural-networks natural-gradients uncertainty-estimation variational-inference
Language:Python 29