17 skills found
YannDubs / Disentangling VaeExperiments for understanding disentanglement in VAE latent representations
1Konny / FactorVAEPytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)
wnhsu / FactorizedHierarchicalVAEThis repository contains the code to reproduce the core results from the paper "Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data"
x7jeon8gi / FactorVAEPyTorch implementation of FactorVAE
ytliu74 / FactorVAEReproduce AAAI22-FactorVAE
samuela / Oi VaeCode for "oi-VAE: Output Interpretable VAEs for Nonlinear Group Factor Analysis"
trungnt13 / Odin AIOrgainzed Digital Intelligent Network (O.D.I.N)
leejoonhun / Factor VaeUnofficial PyTorch implementation of FactorVAE
dn070017 / Variational AutoencodersBeta-VAE, Conditional-VAE, Total Correlation-VAE, FactorVAE, Relevance Factor-VAE, Multi-Level VAE, (Soft)-IntroVAE (Beta-Version), LVAE, VLAE, VaDE and MFCVAE implemented in Tensorflow 2
paruby / FactorVAEA implementation of FactorVAE from the paper Disentangling by Factorising, Kim & Mnih 2018 (https://arxiv.org/pdf/1802.05983.pdf )
Carzit / AttnFactorVAEApply Graph Neural Networks to Optimize Factor Feature Extraction of FactorVAE
Carzit / FactorVAEPytorch Implement of FactorVAE: A Probabilistic Dynamic Factor Model Based on Variational Autoencoder for Predicting Cross-Sectional Stock Returns
ThomasMrY / RF VAEPytorch implementation of RF_VAE proposed in Relevance Factor VAE: Learning and Identifying Disentangled Factors, Kim et al.
sinahmr / Parted VaePytorch implementation of Semi-Supervised Disentanglement of Class-Related and Class-Independent Factors in VAE paper
nicolasigor / FactorVAEA TensorFlow implementation of FactorVAE, proposed in "Disentangling by Factorising" by Kim et al.
zym20000325 / FactorVAEFactor Model Based on Variational Autoencoder
shuan4638 / PeptideTempVAECoupling softmax with temperature factor on VAE to design anti-microbial peptides (AMPs).
