the same as official VAE example, but using Trainer in this repo
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Updated
Dec 9, 2016 - Python
the same as official VAE example, but using Trainer in this repo
Dataset to assess the disentanglement properties of unsupervised learning methods
Replicating "Understanding disentangling in β-VAE"
Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)
Pytorch implementation of SCAN: Learning Hierarchical Compositional Visual Concepts, Higgins et al., ICLR 2018
generate arbitrary handwritten letter/digits based on the inputs
Pytorch implementation of a simple beta vae on dsprites data
Official PyTorch implementation on ID-GAN: High-Fidelity Synthesis with Disentangled Representation by Lee et al., 2020.
Using Beta VAE to test on faces of animal
An implementation of Denoising Variational AutoEncoder with Topological loss
Pytorch implementation of β-VAE
Dataset to assess the disentanglement properties of unsupervised learning methods
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 Monitoring with a Disentangled-Variational-Autoencoder"
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