iffsid / disentangling-disentanglement
☆91Updated 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
- Quantitative evaluation of disentangled representations☆62Updated 7 years ago
- ☆180Updated 5 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆178Updated 3 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆103Updated 6 years ago
- Experiments for the Neural Autoregressive Flows paper☆124Updated 3 years ago
- Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling☆91Updated 7 years ago
- Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling☆228Updated 6 years ago
- ☆237Updated 5 years ago
- Disentanglement library for PyTorch☆276Updated 2 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆91Updated 4 years ago
- Gaussian Process Prior Variational Autoencoder☆83Updated 6 years ago
- Pytorch Adversarial Auto Encoder (AAE)☆86Updated 6 years ago
- ☆75Updated 2 weeks ago
- Implementation of Glow in PyTorch☆81Updated 4 years ago
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆62Updated last year
- ☆68Updated 6 years ago
- Real NVP PyTorch a Minimal Working Example | Normalizing Flow☆138Updated 4 years ago
- Code for some of the experiments I did with variational autoencoders on multi-modality and atari video prediction. Atari video prediction…☆62Updated 8 years ago
- code for "Isolating Sources of Disentanglement in Variational Autoencoders".☆348Updated 2 years ago
- Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE☆91Updated 4 years ago
- Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mand…☆106Updated 6 years ago
- Implementation and tutorials of normalizing flows with the novel distributions module☆166Updated 4 years ago
- ☆148Updated 3 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 7 years ago
- Variational Autoencoder with Spatial Broadcast Decoder☆35Updated 5 years ago
- Nonlinear Independent Components Estimation (Dinh et al, 2014) in PyTorch.☆117Updated 6 years ago
- PyTorch Implementation of Neural Statistician☆60Updated 3 years ago
- Code for Variational Laplace Autoencoders☆54Updated last year
- Code for "Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models", AAAI 2018.☆108Updated 7 years ago