takahashihiroshi / t-vaeLinks
pytorch implementation for "Student-t Variational Autoencoder for Robust Density Estimation".
☆27Updated 3 years ago
Alternatives and similar repositories for t-vae
Users that are interested in t-vae are comparing it to the libraries listed below
Sorting:
- Ladder Variational Autoencoders (LVAE) in PyTorch☆91Updated 4 years ago
- Gaussian Process Prior Variational Autoencoder☆84Updated 6 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆84Updated 2 years ago
- Variational auto encoder in pytorch☆56Updated 6 years ago
- Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mand…☆106Updated 6 years ago
- Variational autoencoders: VAE, gaussian mixture VAE (GMVAE), and a basic ladder VAE (LVAE)☆47Updated 5 years ago
- ☆148Updated 3 years ago
- Implementation of Gaussian Mixture Variational Autoencoder (GMVAE) for Unsupervised Clustering☆341Updated 4 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆103Updated 6 years ago
- Classifier based mutual information, conditional mutual information estimation; conditional independence testing☆34Updated 5 years ago
- ☆238Updated 6 years ago
- A brief tutorial on the Wasserstein auto-encoder☆83Updated 6 years ago
- A PyTorch implementation of "Multimodal Generative Models for Scalable Weakly-Supervised Learning" (https://arxiv.org/abs/1802.05335)☆159Updated 6 years ago
- MINE: Mutual Information Neural Estimation in pytorch (unofficial)☆204Updated 6 years ago
- Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling☆229Updated 7 years ago
- PyTorch implementation of "Weight Uncertainty in Neural Networks"☆176Updated 3 years ago
- A PyTorch Implementation of the Importance Weighted Autoencoders☆39Updated 6 years ago
- demonstration of the information bottleneck theory for deep learning☆64Updated 7 years ago
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆62Updated 2 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆74Updated 5 years ago
- Some unsupervised algorithms☆7Updated 5 years ago
- Pytorch Adversarial Auto Encoder (AAE)☆88Updated 6 years ago
- Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…☆32Updated 5 years ago
- ☆91Updated 6 years ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆27Updated 5 years ago
- Official source code repository for the ICML 2021 paper "Hierarchical VAEs Know What They Don't Know"☆30Updated 3 years ago
- Pytorch Implementation of variational auto-encoder for MNIST☆62Updated 6 years ago
- This repository contains the implementation of the VAE and Gaussian Mixture VAE using TensorFlow and several network architectures☆210Updated 5 years ago
- ☆109Updated 7 years ago
- Pytorch implementation of Neural Processes for functions and images☆232Updated 3 years ago