jmtomczak / vae_vamppriorLinks
Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling
☆233Updated 7 years ago
Alternatives and similar repositories for vae_vampprior
Users that are interested in vae_vampprior are comparing it to the libraries listed below
Sorting:
- ☆181Updated 6 years ago
- ☆91Updated 6 years ago
- Experiments for the Neural Autoregressive Flows paper☆125Updated 4 years ago
- ☆238Updated 6 years ago
- ☆110Updated 8 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 8 years ago
- Pytorch implementation of Hyperspherical Variational Auto-Encoders☆376Updated 5 years ago
- A PyTorch library for two-sample tests☆242Updated 2 years ago
- code for "Isolating Sources of Disentanglement in Variational Autoencoders".☆350Updated 3 years ago
- Real NVP PyTorch a Minimal Working Example | Normalizing Flow☆141Updated 4 years ago
- Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling☆92Updated 8 years ago
- Implementation of VLAE☆216Updated 7 years ago
- Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)☆237Updated 7 years ago
- PyTorch Implementation of Neural Statistician☆60Updated 3 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆181Updated 4 years ago
- A PyTorch Implementation of the Importance Weighted Autoencoders☆39Updated 6 years ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆103Updated 9 years ago
- Understanding normalizing flows☆132Updated 5 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆33Updated 2 years ago
- Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation☆469Updated 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 some of the experiments I did with variational autoencoders on multi-modality and atari video prediction. Atari video prediction…☆62Updated 9 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- Replicating "Understanding disentangling in β-VAE"☆199Updated 7 years ago
- Optimizing control variates for black-box gradient estimation☆163Updated 6 years ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆54Updated last year
- Tensorflow implementation of Hyperspherical Variational Auto-Encoders☆232Updated 6 years ago
- Code for reproducing Flow ++ experiments☆189Updated 6 years ago
- Gaussian Process Prior Variational Autoencoder☆86Updated 6 years ago
- ☆79Updated 6 months ago