miyosuda / disentangled_vae
Replicating "Understanding disentangling in β-VAE"
☆197Updated 6 years ago
Alternatives and similar repositories for disentangled_vae:
Users that are interested in disentangled_vae are comparing it to the libraries listed below
- Implementation of VLAE☆215Updated 7 years ago
- This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoe…☆206Updated 7 years ago
- Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling☆228Updated 6 years ago
- Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation☆464Updated 6 years ago
- Implementation of Sequential Variational Autoencoder☆88Updated 7 years ago
- VQ-VAE implementation / pytorch☆181Updated 7 years ago
- ☆237Updated 5 years ago
- Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).☆261Updated 7 years ago
- ☆110Updated 7 years ago
- Code for the models in "PixelVAE: A Latent Variable Model for Natural Images" (https://arxiv.org/abs/1611.05013☆93Updated 7 years ago
- Code for "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"☆245Updated 6 years ago
- Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling☆91Updated 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 8 years ago
- ☆91Updated 5 years ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆101Updated 9 years ago
- Implementation of Real-NVP in Tensorflow☆102Updated 6 years ago
- code for "Isolating Sources of Disentanglement in Variational Autoencoders".☆348Updated 2 years ago
- ☆123Updated 7 years ago
- Conditional variational autoencoder implementation in Torch☆105Updated 9 years ago
- Tensorflow implementation of Hyperspherical Variational Auto-Encoders☆230Updated 6 years ago
- ☆122Updated 5 years ago
- Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders☆213Updated 5 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 7 years ago
- Wasserstein Auto-Encoders☆508Updated 6 years ago
- Code for the paper "Adversarial Generator-Encoder Networks"☆286Updated 6 years ago
- Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mand…☆106Updated 6 years ago
- A Tensorfflow implementation of Attend, Infer, Repeat☆81Updated 6 years ago
- Replication of Semi-Supervised Learning with Deep Generative Models☆98Updated 9 years ago
- Unsupervised clustering with (Gaussian mixture) VAEs☆299Updated 8 years ago
- Generative moment matching networks☆149Updated 8 years ago