iffsid / disentangling-disentanglementLinks
☆91Updated 6 years ago
Alternatives and similar repositories for disentangling-disentanglement
Users that are interested in disentangling-disentanglement are comparing it to the libraries listed below
Sorting:
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆85Updated 3 years ago
- ☆238Updated 6 years ago
- Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mand…☆106Updated 6 years ago
- Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling☆231Updated 7 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆101Updated 7 years ago
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆62Updated 2 years ago
- A PyTorch Implementation of the Importance Weighted Autoencoders☆39Updated 7 years ago
- Gaussian Process Prior Variational Autoencoder☆87Updated 7 years ago
- PyTorch Implementation of Neural Statistician☆61Updated 3 years ago
- ☆150Updated 3 years ago
- Experiments for the Neural Autoregressive Flows paper☆125Updated 4 years ago
- ☆181Updated 6 years ago
- ☆110Updated 8 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 5 years ago
- Pytorch Adversarial Auto Encoder (AAE)☆87Updated 6 years ago
- Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE☆93Updated 4 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆181Updated 4 years ago
- Understanding normalizing flows☆132Updated 6 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆92Updated 5 years ago
- Scaled MMD GAN☆36Updated 6 years ago
- Disentanglement library for PyTorch☆283Updated 3 years ago
- Implementation and tutorials of normalizing flows with the novel distributions module☆169Updated 5 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆49Updated 8 years ago
- Code for "Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models", AAAI 2018.☆111Updated 7 years ago
- Variational Autoencoder with Arbitrary Conditioning☆82Updated 2 years ago
- Quantitative evaluation of disentangled representations☆63Updated 7 years ago
- Real NVP PyTorch a Minimal Working Example | Normalizing Flow☆142Updated 5 years ago
- ☆125Updated 2 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 8 years ago
- ☆26Updated 6 years ago