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Variational-Inference-with-Normalizing-Flows
Personal implementation of "Variational Inference with Normalizing Flows" by [Rezende, et al., 2015] in PyTorchriemannian-laplace-approximation
Repository for the paper "Riemannian Laplace approximations for Bayesian neural networks"Ladder-Variational-Autoencoders
Personal implementation of "Ladder Variational Autoencoders" by [Sønderby, et al., 2016] (LVAE) in PyTorchGaussian-Process-demo
Interactive Gaussian Process demo, useful for live demonstration when teaching Gaussian Processes.model-agnostic-ood
Code for the paper "Model-agnostic out-of-distribution detection using combined statistical tests" (AISTATS 2022)Variational-Autoencoders-in-Julia
Implementation of "Auto-Encoding Variational Bayes" by Kingma and Welling, 2014 in Julia [VAE in Julia]. Still working on it.MIWAE-PyTorch
PyTorch implementation of MIWAELove Open Source and this site? Check out how you can help us