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local-reparametrization-trick

Here are 5 public repositories matching this topic...

JavierAntoran / Bayesian-Neural-Networks

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

Updated Oct 20, 2023
Jupyter Notebook

j-min / Dropouts

PyTorch Implementations of Dropout Variants

pytorch dropout variational-inference bayesian-neural-networks local-reparametrization-trick gaussian-dropout variational-dropout

Updated Jan 7, 2018
Jupyter Notebook

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"

deep-learning uncertainty uncertainty-neural-networks bayesian-inference mcmc variational-inference hmc bayesian-neural-networks langevin-dynamics approximate-inference local-reparametrization-trick kronecker-factored-approximation bayes-by-backprop sgld

Updated Nov 1, 2023

kefirski / variational_dropout

Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch

python machine-learning neural-network paper pytorch dropout bayesian-inference posterior-probability local-reparametrization-trick

Updated Nov 3, 2017
Python

nonconvexopt / torch_variational

Pytorch Variational module wrappers

pytorch variational-inference local-reparametrization-trick flipout

Updated Oct 8, 2022
Jupyter Notebook

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