yatindandi / Disentangled-Sequential-AutoencoderLinks
Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mandt et al.).
☆106Updated 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
Sorting:
- A PyTorch Implementation of the Importance Weighted Autoencoders☆39Updated 7 years ago
- Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling☆231Updated 7 years ago
- ☆91Updated 6 years ago
- Experiments for the Neural Autoregressive Flows paper☆125Updated 4 years ago
- ☆238Updated 6 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆85Updated 3 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆92Updated 5 years ago
- Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)☆282Updated 7 years ago
- Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders☆214Updated 5 years ago
- Pytorch implementation of the Variational Recurrent Neural Network (VRNN).☆291Updated 4 years ago
- Variational autoencoders: VAE, gaussian mixture VAE (GMVAE), and a basic ladder VAE (LVAE)☆47Updated 5 years ago
- code for "Isolating Sources of Disentanglement in Variational Autoencoders".☆351Updated 3 years ago
- Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"☆83Updated 5 years ago
- Gaussian Process Prior Variational Autoencoder☆87Updated 7 years ago
- Implementation of the MMD VAE paper (InfoVAE: Information Maximizing Variational Autoencoders) in pytorch☆43Updated 5 years ago
- Implementation of a convolutional Variational-Autoencoder model in pytorch.☆73Updated 6 years ago
- ☆110Updated 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
- ☆181Updated 6 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 8 years ago
- ☆26Updated 6 years ago
- MINE: Mutual Information Neural Estimation in pytorch (unofficial)☆207Updated 7 years ago
- Code for reproducing Flow ++ experiments☆190Updated 6 years ago
- Implementation and tutorials of normalizing flows with the novel distributions module☆169Updated 5 years ago
- PyTorch Implementation of Neural Statistician☆61Updated 3 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆181Updated 4 years ago
- A Pytorch Implementation of Attentive Neural Process☆75Updated 6 years ago
- Pytorch Adversarial Auto Encoder (AAE)☆87Updated 6 years ago
- PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models☆155Updated 6 years ago
- ☆150Updated 3 years ago