beta-vae topic
disentangling-vae
Experiments for understanding disentanglement in VAE latent representations
pytorch-generative
Easy generative modeling in PyTorch.
PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
Beta-VAE
Pytorch implementation of β-VAE
FactorVAE
Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)
dsprites-dataset
Dataset to assess the disentanglement properties of unsupervised learning methods
disentangled_vae
Replicating "Understanding disentangling in β-VAE"
Generative-Model
Repository for implementation of generative models with Tensorflow 1.x
ml-tool-wear
Anomaly detection on the UC Berkeley milling data set using a disentangled-variational-autoencoder (beta-VAE). Replication of results as described in article "Self-Supervised Learning for Tool Wear Mo...