jakebelew / gated-pixel-cnnLinks
A TensorFlow implementation of the gated variant of PixelCNN (Gated PixelCNN) from "Conditional Image Generation with PixelCNN Decoders" (https://arxiv.org/abs/1606.05328).
☆27Updated 8 years ago
Alternatives and similar repositories for gated-pixel-cnn
Users that are interested in gated-pixel-cnn are comparing it to the libraries listed below
Sorting:
- Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).☆263Updated 7 years ago
- Code for the models in "PixelVAE: A Latent Variable Model for Natural Images" (https://arxiv.org/abs/1611.05013☆93Updated 8 years ago
- Code for the paper "Improving Variational Auto-Encoders using Householder Flow" (https://arxiv.org/abs/1611.09630)☆75Updated 8 years ago
- Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling☆92Updated 8 years ago
- A PyTorch implementation of the VQ-VAE-2 paper☆75Updated 6 years ago
- Replicating "Understanding disentangling in β-VAE"☆199Updated 7 years ago
- VQ-VAE implementation / pytorch☆182Updated 7 years ago
- Implementation of Real-NVP in Tensorflow☆101Updated 7 years ago
- Implementation of Sequential Variational Autoencoder☆90Updated 8 years ago
- ☆123Updated 5 years ago
- WaveNet implementation with chainer☆56Updated 8 years ago
- Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling☆230Updated 7 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 8 years ago
- A PyTorch Implementation of the Importance Weighted Autoencoders☆39Updated 6 years ago
- ☆238Updated 6 years ago
- Tutorial on normalizing flows.☆299Updated 7 years ago
- Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mand…☆106Updated 6 years ago
- VAE-GAN in Tensorflow☆90Updated 6 years ago
- Implementation of VLAE☆216Updated 7 years ago
- Experiments for the Neural Autoregressive Flows paper☆125Updated 4 years ago
- Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders☆215Updated 5 years ago
- Code for "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"☆244Updated 7 years ago
- Tensorflow implementation of Adversarial Autoencoders (with extra option to decorrelate style and classes)☆31Updated 8 years ago
- ☆26Updated 6 years ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆103Updated 9 years ago
- ☆124Updated 7 years ago
- Code for "Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models", AAAI 2018.☆110Updated 7 years ago
- Code for some of the experiments I did with variational autoencoders on multi-modality and atari video prediction. Atari video prediction…☆62Updated 9 years ago
- Code for the NIPS17 paper "Stabilizing Training of Generative Adversarial Networks through Regularization"☆94Updated 7 years ago
- Optimizing control variates for black-box gradient estimation☆163Updated 6 years ago