JavierAntoran/Bayesian-Neural-Networks · AI Repo StatsJAJavierAntoran/Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
Training & fine-tuningJupyter Notebook MIT 304created 2019-03-11 #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