YannDubs / disentangling-vae Star 841 Code Issues Pull requests 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 / FactorVAE Star 283 Code Issues Pull requests 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
trungnt13 / odin-ai Star 22 Code Issues Pull requests Orgainzed Digital Intelligent Network (O.D.I.N) machine-learning natural-language-processing deep-neural-networks deep-learning graph-algorithms image-processing bayesian-methods generative-model semi-supervised-learning probabilistic-programming text-processing probabilistic-graphical-models speech-processing variational-autoencoder variational-autoencoders disentangled-representations factor-vae disentanglement-learning Updated Oct 30, 2022 Python
paruby / FactorVAE Star 16 Code Issues Pull requests A implementation of FactorVAE from the paper Disentangling by Factorising, Kim & Mnih 2018 (https://arxiv.org/pdf/1802.05983.pdf ) factor-vae Updated Apr 24, 2018 Python
nicolasigor / FactorVAE Star 6 Code Issues Pull requests 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