AntixK / PyTorch-VAE Star 6.2k Code Issues Pull requests 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 Updated Jun 13, 2024 Python
yoonholee / pytorch-vae Star 46 Code Issues Pull requests A minimal pytorch implementation of VAE, IWAE, MIWAE pytorch generative-model vae pytorch-implmention deep-generative-model iwae Updated Dec 8, 2022 Python
nbip / IWAE Star 6 Code Issues Pull requests 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
JohanYe / CS294-158 Star 2 Code Issues Pull requests 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 Updated Jun 1, 2020 Python