iwae

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AntixK /PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

deep-learning reproducible-research architecture pytorch vae beta-vae paper-implementations gumbel-softmax celeba-dataset wae variational-autoencoders pytorch-implementation dfc-vae iwae vqvae vae-implementation pytorch-vae

UpdatedJun 13, 2024
Python

akosiorek /sqair

Star97

Implementation of Sequential Attend, Infer, Repeat (SQAIR)

tracking detection motion vae generative variational-inference approximate-inference representations-learning sqair vimco iwae

UpdatedApr 9, 2019
Jupyter Notebook

yoonholee /pytorch-vae

Star47

A minimal pytorch implementation of VAE, IWAE, MIWAE

pytorch generative-model vae pytorch-implmention deep-generative-model iwae

UpdatedDec 8, 2022
Python

nbip /notMIWAE

Star14

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

UpdatedJan 28, 2021
Jupyter Notebook

nbip /IWAE

Star6

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

UpdatedFeb 5, 2021
Python

Gabriel-Macias /iwae_tutorial

Star3

Tutorial and discussion on Importance Weighted Autoencoder (IWAE) / Variational Autoencoder (VAE) implementation on MNIST using Tensorflow 2.0

deep-learning tensorflow vae iwae

UpdatedJul 14, 2020
Jupyter Notebook

JohanYe /CS294-158

Star2

Homeworks from CS294-158-19 (Deep unsupervised learning) implemented in Pytorch

flow pytorch gan vae svhn wgan variational-autoencoder wasserstein-gan pytorch-implementation iwae svhn-dataset cs294-158

UpdatedJun 1, 2020
Python

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