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A Collection of Variational Autoencoders (VAE) in PyTorch.
Updated
Mar 22, 2020
Python
generate dancing videos using vae
Updated
Apr 3, 2020
Python
Variational Auto Encoders (VAEs), Generative Adversarial Networks (GANs) and Generative Normalizing Flows (NFs) and are the most famous and powerful deep generative models.
Updated
Jan 14, 2020
Python
Implementation of the variational autoencoder with PyTorch and Fastai
Updated
Aug 4, 2019
Jupyter Notebook
Autoencoders (Standard, Convolutional, Variational), implemented in tensorflow
Updated
Sep 14, 2018
Python
Tensorflow 2.x implementation of the beta-TCVAE (arXiv:1802.04942).
Updated
Nov 12, 2019
Python
VAE and CVAE pytorch implement based on MNIST
Updated
Nov 5, 2019
Jupyter Notebook
Probabilistic framework for solving Visual Dialog
Variational Autoencoder (VAE) trained on MNIST
Updated
Apr 8, 2020
Python
Convolutional Variational Autoencoder on VizdoomTakeCover
Updated
Nov 13, 2019
Jupyter Notebook
Updated
Aug 23, 2019
Jupyter Notebook
Synthetic data generation using Variational Auto-Encoder
Updated
Apr 19, 2020
Python
An implementation of Variational Auto-encoder with TSNE Visualization on MNIST dataset.
Updated
Jun 7, 2020
Jupyter Notebook
Towards Generative Modeling from (variational) Autoencoder to DCGAN
Updated
Apr 30, 2020
Jupyter Notebook
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