takahashihiroshi / t-vaeLinks
pytorch implementation for "Student-t Variational Autoencoder for Robust Density Estimation".
☆27Updated 2 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
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆84Updated 2 years ago
- Variational autoencoders: VAE, gaussian mixture VAE (GMVAE), and a basic ladder VAE (LVAE)☆47Updated 5 years ago
- Gaussian Process Prior Variational Autoencoder☆84Updated 6 years ago
- Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mand…☆106Updated 6 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆73Updated 5 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆103Updated 6 years ago
- Implementation of 'DIVA: Domain Invariant Variational Autoencoders'☆102Updated 5 years ago
- InfoMax-VAE pytorch implementation☆23Updated 11 months ago
- Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"☆82Updated 5 years ago
- Mutual Information Neural Entropic Estimation☆27Updated last year
- Personal implementation of "Variational Inference with Normalizing Flows" by [Rezende, et al., 2015] in PyTorch☆22Updated 5 years ago
- Variational auto encoder in pytorch☆56Updated 6 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- ☆40Updated 5 years ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆27Updated 5 years ago
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆62Updated last year
- Official source code repository for the ICML 2021 paper "Hierarchical VAEs Know What They Don't Know"☆30Updated 3 years ago
- ☆149Updated 3 years ago
- A PyTorch Implementation of the Importance Weighted Autoencoders☆39Updated 6 years ago
- Pytorch Adversarial Auto Encoder (AAE)☆88Updated 6 years ago
- Pytorch implementation of Maximum Mean Discrepancy Variational Autoencoder, a member of the InfoVAE family that maximizes Mutual Informat…☆56Updated 4 years ago
- Learning Autoencoders with Relational Regularization☆46Updated 4 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☆228Updated 7 years ago
- Mutual Information Neural Estimator implemented in Tensorflow☆46Updated 6 years ago
- VAEs and nonlinear ICA: a unifying framework☆47Updated 5 years ago
- Code repository of the paper "BooVAE: Boosting Approach for Continual Learning of VAE" published at NeurIPS 2021. https://arxiv.org/abs/1…☆14Updated 3 years ago
- ☆42Updated 3 years ago
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 3 years ago