iffsid / disentangling-disentanglement
☆90Updated 5 years ago
Alternatives and similar repositories for disentangling-disentanglement:
Users that are interested in disentangling-disentanglement are comparing it to the libraries listed below
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆84Updated 2 years ago
- Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling☆227Updated 6 years ago
- Pytorch Adversarial Auto Encoder (AAE)☆86Updated 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
- Experiments for the Neural Autoregressive Flows paper☆123Updated 3 years ago
- ☆179Updated 5 years ago
- Gaussian Process Prior Variational Autoencoder☆83Updated 6 years ago
- Quantitative evaluation of disentangled representations☆62Updated 7 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆101Updated 6 years ago
- ☆74Updated 10 months ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆91Updated 4 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆178Updated 3 years ago
- PyTorch Implementation of Neural Statistician☆60Updated 3 years ago
- ☆235Updated 5 years ago
- Implementation of Glow in PyTorch☆81Updated 4 years ago
- Disentanglement library for PyTorch☆276Updated 2 years ago
- A PyTorch Implementation of the Importance Weighted Autoencoders☆40Updated 6 years ago
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆60Updated last year
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 7 years ago
- ☆110Updated 7 years ago
- ☆68Updated 5 years ago
- ☆147Updated 2 years ago
- Implicit Generation and Generalization in Energy Based Models in PyTorch☆65Updated 5 years ago
- Real NVP PyTorch a Minimal Working Example | Normalizing Flow☆138Updated 4 years ago
- Implementation and tutorials of normalizing flows with the novel distributions module☆165Updated 4 years ago
- Code for the paper "Improving Variational Auto-Encoders using Householder Flow" (https://arxiv.org/abs/1611.09630)☆76Updated 8 years ago
- Implementation of the MMD VAE paper (InfoVAE: Information Maximizing Variational Autoencoders) in pytorch☆42Updated 4 years ago
- Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mand…☆105Updated 6 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- code for "Isolating Sources of Disentanglement in Variational Autoencoders".☆348Updated 2 years ago