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dsprites

Here are 8 public repositories matching this topic...

YannDubs / disentangling-vae

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 Feb 2, 2023
Python

1Konny / Beta-VAE

Pytorch implementation of β-VAE

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

Updated Dec 29, 2020
Python

1Konny / FactorVAE

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

miyosuda / disentangled_vae

Replicating "Understanding disentangling in β-VAE"

vae beta-vae disentanglement dsprites

Updated Jun 2, 2018
Python

zfountas / deep-active-inference-mc

Deep active inference agents using Monte-Carlo methods

cognitive-science variational-inference monte-carlo-tree-search monte-carlo-methods machine-learning-models variational-autoencoders dsprites disentangled-representations model-based-reinforcement-learning active-inference animal-ai cognitive-architectures

Updated Jun 14, 2025
Python

fjxmlzn / InfoGAN-CR

[ICML 2020] InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs

Updated Oct 25, 2020
Python

nicolasigor / FactorVAE

A TensorFlow implementation of FactorVAE, proposed in "Disentangling by Factorising" by Kim et al.

machine-learning deep-neural-networks deep-learning tensorflow vae unsupervised-learning mine dsprites disentangled-representations factorvae factor-vae

Updated May 4, 2019
Python

miltonllera / spritegen

Generation of sprite dataset used when testing disentangled models.

dataset generative-model disentanglement dsprites

Updated Jan 8, 2022
Python

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