dsprites

There are 1 repository under dsprites topic.

YannDubs / disentangling-vae
Experiments for understanding disentanglement in VAE latent representations
beta-vae factor-vae vae variational-autoencoder unsupervised-learning celeba dsprites beta-tcvae disentangled-representations chairs-dataset mnist fashion-mnist representation-learning reproducible-research deep-learning pytorch disentanglement
Language:Python 769
1Konny / Beta-VAE
Pytorch implementation of β-VAE
beta-vae vae disentangled-representations unsupervised-learning celeba chairs-dataset dsprites
Language:Python 504
google-deepmind / dsprites-dataset
Dataset to assess the disentanglement properties of unsupervised learning methods
vae beta-vae disentanglement dataset dsprites
Language:Jupyter Notebook 469
1Konny / FactorVAE
Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)
factorvae beta-vae vae disentangled-representations unsupervised-learning celeba chairs-dataset factor-vae dsprites
Language:Python 255
miyosuda / disentangled_vae
Replicating "Understanding disentangling in β-VAE"
beta-vae disentanglement dsprites vae
Language:Python 192
zfountas / deep-active-inference-mc
Deep active inference agents using Monte-Carlo methods
active-inference cognitive-architectures cognitive-science machine-learning-models variational-autoencoders variational-inference model-based-reinforcement-learning dsprites animal-ai disentangled-representations monte-carlo-tree-search monte-carlo-methods
Language:Python 73
fjxmlzn / InfoGAN-CR
[ICML 2020] InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs
disentanglement infogan-cr contrastive-regularizers gan gans generative-adversarial-network model-selection model-centrality metrics 3d-teapot celeba dsprites disentangled-representations disentangled representation factorvae-metric betavae-metric dci sap mig
Language:Python 41
rpatrik96 / ima-vae
This is the code for the paper Embrace the Gap: VAEs perform Independent Mechanism Analysis, showing that optimizing the ELBO is equivalent to optimizing the IMA-regularized log-likelihood under certain assumptions (e.g., small decoder variance).
pytorch vae independent-component-analysis pytorch-lightning variational-autoencoder variational-inference disentanglement dsprites ica wandb
Language:Jupyter Notebook 22
nicolasigor / FactorVAE
A TensorFlow implementation of FactorVAE, proposed in "Disentangling by Factorising" by Kim et al.
deep-learning deep-neural-networks disentangled-representations dsprites factor-vae factorvae machine-learning mine tensorflow unsupervised-learning vae
Language:Python 7
saashd / controlVAE
ML2 Project following ControlVAE: Tuning, Analytical Properties, and Performance Analysis
celeba disentangled-representations dsprites machine-learning mnist controlvae beta-vae vae vae-pytorch python pythorch variational-autoencoder
Language:Jupyter Notebook 3