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).☆262Updated 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
- VQ-VAE implementation / pytorch☆181Updated 7 years ago
- Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling☆91Updated 8 years ago
- Code for the paper "Improving Variational Auto-Encoders using Householder Flow" (https://arxiv.org/abs/1611.09630)☆75Updated 8 years ago
- Experiments for the Neural Autoregressive Flows paper☆125Updated 4 years ago
- Implementation of Real-NVP in Tensorflow☆102Updated 6 years ago
- A PyTorch implementation of the VQ-VAE-2 paper☆75Updated 5 years ago
- WaveNet implementation with chainer☆56Updated 8 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 7 years ago
- Replicating "Understanding disentangling in β-VAE"☆199Updated 7 years ago
- Tutorial on normalizing flows.☆299Updated 7 years ago
- VAE-GAN in Tensorflow☆90Updated 6 years ago
- Implementation of VLAE☆215Updated 7 years ago
- ☆237Updated 6 years ago
- ☆124Updated 7 years ago
- Code for the NIPS17 paper "Stabilizing Training of Generative Adversarial Networks through Regularization"☆94Updated 7 years ago
- Code for "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"☆244Updated 7 years ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆101Updated 9 years ago
- A PyTorch implementation of "Continuous Relaxation Training of Discrete Latent Variable Image Models"☆73Updated 5 years ago
- Implementation of Sequential Variational Autoencoder☆88Updated 7 years ago
- Code for experiments with our RNN regularizer, which stochastically forces units to maintain previous values.☆78Updated 7 years ago
- Code for "Sequential Neural Models with Stochastic Layers"☆117Updated 8 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
- Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders☆214Updated 5 years ago
- A PyTorch Implementation of the Importance Weighted Autoencoders☆39Updated 6 years ago
- ☆123Updated 5 years ago
- Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mand…☆106Updated 6 years ago
- Pytorch Implementation of OpenAI's GLOW☆94Updated 4 years ago
- Code for reproducing Flow ++ experiments☆189Updated 6 years ago