vae
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Variational Convolutional Networks for Human-Centric Annotations
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Nov 22, 2016 - Jupyter Notebook
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Jan 31, 2017 - Python
Tensorflow implementation of VAE(variational autoencoder)
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Jan 31, 2017 - Python
Recurrent Variational Autoencoder that generates sequential data implemented with pytorch
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Mar 15, 2017 - Python
PyTorch implementation of "Auto-Encoding Variational Bayes"
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Mar 22, 2017 - Jupyter Notebook
Tensorflow implementation of variational auto-encoder for MNIST
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Apr 11, 2017 - Python
chainer implementation of VAE-GAN, Wasserstein GAN (WGAN), CycleGAN
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Apr 15, 2017 - Python
A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).
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Apr 18, 2017 - Python
Tensorflow implementation of conditional variational auto-encoder for MNIST
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Apr 25, 2017 - Python
Variational Inference/Variational AutoEncoder + Gaussian Mixtures implementation in zhusuan
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Jun 3, 2017 - Python
Playing around with generative models trained on natural images, along with (eventually) some visualization tools.
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Jun 18, 2017 - Python
Collection of generative models, e.g. GAN, VAE in NNabla
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Jul 2, 2017 - Jupyter Notebook
Variational Autoencoder in Pytorch
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Aug 6, 2017 - Python
Сross Domain Autoencoding Variational Bayes Algorithm on MNIST
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Aug 24, 2017 - Python
Data and Trained models can be downloaded from https://goo.gl/7PrKD2
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Sep 7, 2017 - Jupyter Notebook
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