JavierAntoran / Bayesian-Neural-Networks

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

Date Created 2019-03-11 (5 years ago)

Commits 86 (last one about a year ago)

Stargazers 1,868 (2 this week)

Watchers 28 (0 this week)

Forks 303

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All Topics

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

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updated: 2024-12-20 @ 09:37am, id: 174975949 / R_kgDOCm3rzQ