yatindandi / Disentangled-Sequential-Autoencoder
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
- ☆91Updated 5 years ago
- 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☆228Updated 6 years ago
- Variational autoencoders: VAE, gaussian mixture VAE (GMVAE), and a basic ladder VAE (LVAE)☆46Updated 4 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 7 years ago
- ☆237Updated 5 years ago
- PyTorch Implementation of Neural Statistician☆60Updated 3 years ago
- Pytorch Adversarial Auto Encoder (AAE)☆86Updated 6 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- Implementation of a convolutional Variational-Autoencoder model in pytorch.☆74Updated 6 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆84Updated 2 years ago
- ☆75Updated last week
- Ladder Variational Autoencoders (LVAE) in PyTorch☆91Updated 4 years ago
- ☆110Updated 7 years ago
- Implementation of the MMD VAE paper (InfoVAE: Information Maximizing Variational Autoencoders) in pytorch☆42Updated 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
- Experiments for the Neural Autoregressive Flows paper☆124Updated 3 years ago
- Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)☆269Updated 6 years ago
- Pytorch implementation of the Variational Recurrent Neural Network (VRNN).☆285Updated 3 years ago
- MINE: Mutual Information Neural Estimation in pytorch (unofficial)☆204Updated 6 years ago
- Code for "Recurrent Independent Mechanisms"☆118Updated 3 years ago
- Quantitative evaluation of disentangled representations☆62Updated 7 years ago
- Temporal Difference Variational Auto-Encoder (TD-VAE) (Implementation in PyTorch)☆159Updated 2 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆33Updated last year
- PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models☆151Updated 5 years ago
- Replicating "Understanding disentangling in β-VAE"☆197Updated 6 years ago
- Gaussian Process Prior Variational Autoencoder☆83Updated 6 years ago
- ☆68Updated 6 years ago
- Disentanglement library for PyTorch☆276Updated 2 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆103Updated 6 years ago