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importance-weighted-autoencoder

Here are 3 public repositories matching this topic...

nbip / notMIWAE

Code accompanying the notMIWAE paper

missing-data variational-inference importance-sampling missing-values iwae missing-data-imputation importance-weighted-autoencoder deep-generative-modelling missing-not-at-random

Updated Jan 28, 2021
Jupyter Notebook

IWAE

nbip / IWAE

Importance Weighted Autoencoders in TensorFlow 2, reproducing results from the IWAE paper with 1 or 2 stochastic layers

vae variational-inference paper-implementations importance-sampling dreg iwae tensorflow2 importance-weighted-autoencoder deep-generative-modelling dreg-estimator iwae-paper variational-posteriors

Updated Feb 5, 2021
Python

argos-uach / IWAE-torch

Variational and Importance Weigthed Autoencoders in PyTorch

pytorch variational-autoencoder importance-weighted-autoencoder

Updated Jul 22, 2020
Jupyter Notebook

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