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 8 months ago)

Stargazers 1,778 (6 this week)

Watchers 27 (0 this week)

Forks 299

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JavierAntoran/Bayesian-Neural-Networks is also tagged with popular topics, for these it's ranked: deep-learning (#783/7824), pytorch (#483/5583), classification (#37/506)

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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: 2024-06-26 @ 12:23pm, id: 174975949 / R_kgDOCm3rzQ