tigvarts / vaeacLinks
Variational Autoencoder with Arbitrary Conditioning
☆81Updated last year
Alternatives and similar repositories for vaeac
Users that are interested in vaeac are comparing it to the libraries listed below
Sorting:
- ☆91Updated 6 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆84Updated 2 years ago
- ☆122Updated 2 years ago
- Gaussian Process Prior Variational Autoencoder☆84Updated 6 years ago
- Experiments for the Neural Autoregressive Flows paper☆124Updated 4 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆179Updated 3 years ago
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆62Updated last year
- ☆180Updated 5 years ago
- Understanding normalizing flows☆132Updated 5 years ago
- A PyTorch Implementation of the Importance Weighted Autoencoders☆39Updated 6 years ago
- ☆149Updated 3 years ago
- Implementation of different Normalizing Flows, NF, Planar Flows, IAF, etc.☆28Updated 7 years ago
- Implementation and tutorials of normalizing flows with the novel distributions module☆167Updated 4 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 7 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆103Updated 6 years ago
- ☆238Updated 6 years ago
- Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"☆82Updated 5 years ago
- Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling☆228Updated 7 years ago
- Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling☆91Updated 8 years ago
- A Pytorch Implementation of Attentive Neural Process☆75Updated 6 years ago
- ☆109Updated 7 years ago
- A minimal pytorch implementation of VAE, IWAE, MIWAE☆47Updated 2 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆91Updated 4 years ago
- Source code for Naesseth et. al. "Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms" (2017)☆39Updated 8 years ago
- Real NVP PyTorch a Minimal Working Example | Normalizing Flow☆139Updated 4 years ago
- Variational Autoencoders with Gaussian Mixture Latent Space☆36Updated 7 years ago
- ☆26Updated 6 years ago
- Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mand…☆106Updated 6 years ago
- Implementation of the MMD VAE paper (InfoVAE: Information Maximizing Variational Autoencoders) in pytorch☆42Updated 4 years ago