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The Wayback Machine - https://web.archive.org/web/20200626171027/https://github.com/topics/beta-vae
Here are
19 public repositories
matching this topic...
A Collection of Variational Autoencoders (VAE) in PyTorch.
Updated
Mar 22, 2020
Python
Dataset to assess the disentanglement properties of unsupervised learning methods
Updated
Jun 2, 2017
Jupyter Notebook
Pytorch implementation of β-VAE
Updated
Nov 28, 2018
Python
Experiments for understanding disentanglement in VAE latent representations
Updated
Nov 29, 2019
Python
Replicating "Understanding disentangling in β-VAE"
Updated
Jun 2, 2018
Python
Updated
Jun 28, 2018
Python
Repository for implementation of generative models with Tensorflow 1.x
Updated
Jun 12, 2020
Jupyter Notebook
Updated
Apr 15, 2019
Python
Predicting image frames using autoencoder and LSTM
Updated
Apr 10, 2020
Python
Updated
Jan 31, 2017
Python
Pytorch implementation of SCAN: Learning Hierarchical Compositional Visual Concepts, Higgins et al., ICLR 2018
Updated
Oct 10, 2018
Python
An implementation of Denoising Variational AutoEncoder with Topological loss
Updated
May 21, 2020
Python
generate arbitrary handwritten letter/digits based on the inputs
Updated
Aug 30, 2019
Jupyter Notebook
⚠️ [W.I.P] 🧶 Disentanglement library for variational autoencoders based on disentanglement_lib, including a pytorch implementation of Ada-GVAE
Updated
May 11, 2020
Jupyter Notebook
A flexible framework of neural networks for deep learning
Updated
Sep 13, 2017
Python
Spatial Broadcast Decoder implementation in PyTorch on top of Docker.
Updated
Jun 18, 2020
Python
Dataset to assess the disentanglement properties of unsupervised learning methods
Updated
Jun 2, 2017
Jupyter Notebook
the same as official VAE example, but using Trainer in this repo
Updated
Dec 9, 2016
Python
Updated
Jun 30, 2019
Python
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