18 results found Sort:

TuringLang
Turing.jl TuringLang
218
2.0k
mit
49
Bayesian inference with probabilistic programming.
hmc mcmc turing julia-language machine-learning bayesian-inference bayesian-statistics probabilistic-models artificial-intelligence hamiltonian-monte-carlo probabilistic-inference bayesian-neural-networks probabilistic-programming probabilistic-graphical-models
Created 2016-04-29
3,378 commits to master branch, last one a day ago
JavierAntoran
Bayesian-Neural-Networks JavierAntoran
303
1.8k
mit
27
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
hmc mcmc sgld pytorch mc-dropout regression uncertainty deep-learning classification bayes-by-backprop langevin-dynamics bayesian-inference approximate-inference reproducible-research variational-inference bayesian-neural-networks uncertainty-neural-networks local-reparametrization-trick out-of-distribution-detection kronecker-factored-approximation
Created 2019-03-11
86 commits to master branch, last one 11 months ago
uncertainty-toolbox
uncertainty-toolbox uncertainty-toolbox
129
1.8k
mit
34
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
metrics toolbox sharpness calibration uncertainty recalibration scoring-rules visualization visualizations uncertainty-metrics uncertainty-toolbox bayesian-deep-learning predictive-uncertainty uncertainty-estimation uncertainty-calibration bayesian-neural-networks uncertainty-quantification
Created 2020-09-06
151 commits to main branch, last one about a year ago
kumar-shridhar
PyTorch-BayesianCNN kumar-shridhar
324
1.4k
mit
31
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
bayes python pytorch pytorch-cnn bayesian-network bayes-by-backprop bayesian-convnets bayesian-networks image-recognition variational-bayes bayesian-inference bayesian-statistics variational-inference bayesian-deep-learning aleatoric-uncertainties bayesian-neural-networks convolutional-neural-networks
Created 2018-07-27
308 commits to master branch, last one 3 years ago
janosh
awesome-normalizing-flows janosh
123
1.4k
mit
43
Awesome resources on normalizing flows.
awesome-list autoregressive machine-learning normalizing-flows bayesian-inference density-estimation generative-modeling variational-inference bayesian-neural-networks
Created 2019-12-11
110 commits to main branch, last one 3 days ago
piEsposito
blitz-bayesian-deep-learning piEsposito
105
925
gpl-3.0
15
A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
pytorch bayesian-layers pytorch-tutorial bayesian-deep-learning pytorch-implementation bayesian-neural-networks
Created 2020-02-28
234 commits to master branch, last one 2 years ago
IntelLabs
bayesian-torch IntelLabs
72
516
bsd-3-clause
17
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
pytorch deep-learning bayesian-layers bayesian-inference deep-neural-networks bayesian-deep-learning uncertainty-estimation bayesian-neural-networks uncertainty-quantification uncertainty-neural-networks stochastic-variational-inference
Created 2020-12-17
140 commits to main branch, last one 8 months ago
ziatdinovmax
gpax ziatdinovmax
26
202
mit
7
Gaussian Processes for Experimental Sciences
active-learning machine-learning bayesian-inference gaussian-processes hypothesis-learning deep-kernel-learning bayesian-optimization multi-fidelity-learning bayesian-neural-networks
Created 2021-10-28
787 commits to main branch, last one 4 months ago
brendanhasz
probflow brendanhasz
17
170
mit
4
A Python package for building Bayesian models with TensorFlow or PyTorch
python pytorch bayesian statistics tensorflow data-science bayesian-methods machine-learning bayesian-inference bayesian-statistics bayesian-neural-networks
Created 2019-01-05
565 commits to master branch, last one 3 years ago
xwinxu
bayeSDE xwinxu
28
167
mit
8
Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
jax pytorch neural-ode neural-sde sde-solvers deep-learning bayesian-layers deep-neural-networks bayesian-neural-networks stochastic-differential-equations
Created 2021-02-04
48 commits to main branch, last one 2 years ago
lightning-uq-box
lightning-uq-box lightning-uq-box
15
130
apache-2.0
6
Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning
pytorch deep-learning earth-observation pytorch-lightning conformal-prediction predictive-uncertainty bayesian-neural-networks uncertainty-quantification
Created 2023-02-17
203 commits to main branch, last one about a month ago
HolyBayes
pytorch_ard HolyBayes
16
83
mit
5
Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks
ard pytorch deep-learning neural-networks machine-learning bayesian-neural-networks
Created 2018-07-13
52 commits to master branch, last one 2 years ago
xxxnell
spatial-smoothing xxxnell
7
77
apache-2.0
3
(ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness”.
pytorch robustness uncertainty neural-network bayesian-deep-learning uncertainty-estimation bayesian-neural-networks uncertainty-quantification
Created 2020-12-31
63 commits to master branch, last one 2 years ago
anassinator
bnn anassinator
27
77
mit
3
Bayesian Neural Network in PyTorch
bnn dropout pytorch neural-network concrete-dropout bayesian-inference artificial-intelligence bayesian-neural-networks
Created 2018-07-09
2 commits to master branch, last one 5 years ago
cambridge-mlg
DUN cambridge-mlg
11
72
mit
8
Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)
pytorch robustness uncertainty learnt-depth deep-learning network-depths neural-networks machine-learning bayesian-inference reproducible-paper reproducible-research variational-inference bayesian-deep-learning probabilistic-inference bayesian-neural-networks expectation-maximization neural-architecture-search uncertainty-quantification uncertainty-neural-networks probabilistic-neural-network
Created 2020-06-12
7 commits to master branch, last one 2 years ago
Cogito2012
UString Cogito2012
19
63
mit
4
[ACM MM 2020] Uncertainty-based Traffic Accident Anticipation
accidents traffic-analysis uncertainty-estimation bayesian-neural-networks spatio-temporal-modeling
Created 2020-02-02
142 commits to master branch, last one about a year ago
HumBug-Mosquito
HumBugDB HumBug-Mosquito
15
46
mit
6
Acoustic mosquito detection code with Bayesian Neural Networks
audio pytorch acoustic-model keras-tensorflow acoustic-features feature-extraction bayesian-neural-networks
Created 2021-06-06
94 commits to master branch, last one 2 years ago
konstantinos-p
Bayesian-Neural-Networks-Reading-List konstantinos-p
3
46
unknown
2
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 ...
hmc mcmc sgld uncertainty deep-learning bayes-by-backprop langevin-dynamics bayesian-inference approximate-inference variational-inference bayesian-neural-networks uncertainty-neural-networks local-reparametrization-trick kronecker-factored-approximation
Created 2023-01-16
18 commits to main branch, last one 11 months ago