fpcasale / GPPVAELinks
Gaussian Process Prior Variational Autoencoder
☆83Updated 6 years ago
Alternatives and similar repositories for GPPVAE
Users that are interested in GPPVAE are comparing it to the libraries listed below
Sorting:
- Ladder Variational Autoencoders (LVAE) in PyTorch☆91Updated 4 years ago
- ☆91Updated 5 years ago
- Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling☆228Updated 7 years ago
- ☆180Updated 5 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
- ☆122Updated 2 years ago
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆62Updated last year
- Code for "Variational Autoencoder with Learned Latent Structure"☆34Updated 4 years ago
- A PyTorch Implementation of the Importance Weighted Autoencoders☆40Updated 6 years ago
- A brief tutorial on the Wasserstein auto-encoder☆83Updated 6 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆84Updated 2 years ago
- A PyTorch re-implementation of "Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives"☆18Updated 5 years ago
- Real NVP PyTorch a Minimal Working Example | Normalizing Flow☆138Updated 4 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆84Updated 4 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mand…☆106Updated 6 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- Code for Sliced Gromov-Wasserstein☆68Updated 5 years ago
- Code for the paper Semi-Conditional Normalizing Flows for Semi-Supervised Learning☆27Updated 3 years ago
- Deep convolutional gaussian processes.☆78Updated 5 years ago
- Variational Autoencoder with Arbitrary Conditioning☆81Updated last year
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 3 years ago
- Pytorch implementation of the basic idea presented in https://arxiv.org/abs/2002.07101☆12Updated 5 years ago
- Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE☆92Updated 4 years ago
- ☆87Updated 3 years ago
- ☆26Updated 6 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- Stochastic algorithms for computing Regularized Optimal Transport☆57Updated 6 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago