beta-vae

Here are 18 public repositories matching this topic...

AntixK / PyTorch-VAE

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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 Mar 22, 2020
Python

deepmind / dsprites-dataset

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Dataset to assess the disentanglement properties of unsupervised learning methods

dataset vae beta-vae disentanglement dsprites

Updated Jun 2, 2017
Jupyter Notebook

1Konny / Beta-VAE

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Pytorch implementation of β-VAE

chairs-dataset vae unsupervised-learning beta-vae celeba dsprites disentangled-representations

Updated Nov 28, 2018
Python

YannDubs / disentangling-vae

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Experiments for understanding disentanglement in VAE latent representations

deep-learning reproducible-research pytorch mnist chairs-dataset vae representation-learning unsupervised-learning beta-vae celeba variational-autoencoder disentanglement dsprites fashion-mnist disentangled-representations factor-vae beta-tcvae

Updated Nov 29, 2019
Python

miyosuda / disentangled_vae

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Replicating "Understanding disentangling in β-VAE"

vae beta-vae disentanglement dsprites

Updated Jun 2, 2018
Python

1Konny / FactorVAE

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Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)

chairs-dataset vae unsupervised-learning beta-vae celeba dsprites disentangled-representations factorvae factor-vae

Updated Jun 28, 2018
Python

Kyushik / Generative-Model

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Repository for implementation of generative models with Tensorflow 1.x

gan mnist infogan dcgan vae beta-vae celeba wgan lsgan cyclegan cgan wgan-gp generative-models stargan vq-vae singan hologan aggan raindrop-removal

Updated May 10, 2020
Jupyter Notebook

1Konny / WAE-pytorch

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vae beta-vae wgan wasserstein-gan wae wasserstein-autoencoder

Updated Apr 15, 2019
Python

kundan2510 / vae_celeba

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deep-learning vae image-generation beta-vae celeba

Updated Jan 31, 2017
Python

Glaciohound / SCAN

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Pytorch implementation of SCAN: Learning Hierarchical Compositional Visual Concepts, Higgins et al., ICLR 2018

machine-learning computer-vision deep-learning scan vae beta-vae celeba disentan

Updated Oct 10, 2018
Python

marisancans / frame-predict-VAE-LSTM

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Predicting image frames using autoencoder and LSTM

opencv pytorch lstm vae seq2seq beta-vae predict frame-predict

Updated Apr 10, 2020
Python

yuki3-18 / Topological-DVAE

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An implementation of Denoising Variational AutoEncoder with Topological loss

pytorch beta-vae denoising-autoencoders topological-data-analysis

Updated May 21, 2020
Python

sungsujaing / letter_digit_generator_VAE

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generate arbitrary handwritten letter/digits based on the inputs

vae beta-vae conditional-vae tensorflow-keras emnist-dataset convolutional-cvae

Updated Aug 30, 2019
Jupyter Notebook

nmichlo / disent

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⚠️ [W.I.P] 🧶 Disentanglement library for variational autoencoders based on disentanglement_lib, including a pytorch implementation of Ada-GVAE

wip pytorch vae notebooks beta-vae variational-autoencoder pytorch-lightning disentanglement-lib disentanglement-library ada-gvae

Updated May 11, 2020
Jupyter Notebook

dawnJ / chainer

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A flexible framework of neural networks for deep learning

beta-vae

Updated Sep 13, 2017
Python

dawnJ / dsprites-dataset

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Dataset to assess the disentanglement properties of unsupervised learning methods

beta-vae

Updated Jun 2, 2017
Jupyter Notebook

dawnJ / chainer-VAE

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the same as official VAE example, but using Trainer in this repo

beta-vae

Updated Dec 9, 2016
Python

yuki3-18 / Residual-VAE

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tensorflow vae beta-vae

Updated Jun 30, 2019
Python

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