yatindandi / Disentangled-Sequential-Autoencoder
Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mandt et al.).
☆104Updated 6 years ago
Alternatives and similar repositories for Disentangled-Sequential-Autoencoder:
Users that are interested in Disentangled-Sequential-Autoencoder are comparing it to the libraries listed below
- A PyTorch Implementation of the Importance Weighted Autoencoders☆40Updated 6 years ago
- Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling☆226Updated 6 years ago
- Pytorch Adversarial Auto Encoder (AAE)☆86Updated 5 years ago
- ☆110Updated 7 years ago
- ☆75Updated 8 months ago
- ☆89Updated 5 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆91Updated 4 years ago
- Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders☆211Updated 4 years ago
- Gaussian Process Prior Variational Autoencoder☆81Updated 6 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 7 years ago
- Variational autoencoders: VAE, gaussian mixture VAE (GMVAE), and a basic ladder VAE (LVAE)☆46Updated 4 years ago
- Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)☆266Updated 6 years ago
- ☆233Updated 5 years ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆99Updated 8 years ago
- Variational Autoencoders with Gaussian Mixture Latent Space☆36Updated 7 years ago
- MINE: Mutual Information Neural Estimation in pytorch (unofficial)☆203Updated 6 years ago
- Implementation of the MMD VAE paper (InfoVAE: Information Maximizing Variational Autoencoders) in pytorch☆42Updated 4 years ago
- code for "Isolating Sources of Disentanglement in Variational Autoencoders".☆346Updated 2 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆83Updated 2 years ago
- Experiments for the Neural Autoregressive Flows paper☆123Updated 3 years ago
- Temporal Difference Variational Auto-Encoder (TD-VAE) (Implementation in PyTorch)☆156Updated last year
- Implementation and tutorials of normalizing flows with the novel distributions module☆164Updated 4 years ago
- Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling☆91Updated 7 years ago
- PyTorch implementation of Neural Processes☆88Updated 5 years ago
- Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"☆80Updated 4 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆50Updated 7 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- PyTorch Implementation of Neural Statistician☆60Updated 2 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆177Updated 3 years ago
- Variational Autoencoder with Spatial Broadcast Decoder☆35Updated 5 years ago