emilemathieu / pvae
code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".
☆123Updated last year
Alternatives and similar repositories for pvae:
Users that are interested in pvae are comparing it to the libraries listed below
- Mixed-curvature Variational Autoencoders (ICLR 2020)☆61Updated 4 years ago
- ☆32Updated 5 years ago
- Source code for the paper "Hyperbolic Neural Networks", https://arxiv.org/abs/1805.09112☆174Updated 4 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆54Updated 3 years ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆53Updated 2 years ago
- Hyperbolic Neural Networks, pytorch☆86Updated 5 years ago
- ☆38Updated 4 years ago
- ☆122Updated 2 years ago
- ☆89Updated 5 years ago
- Discrete Normalizing Flows implemented in PyTorch☆109Updated 3 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆84Updated 2 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 2 years ago
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆60Updated last year
- Official repository for "Categorical Normalizing Flows via Continuous Transformations"☆56Updated 4 years ago
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆62Updated 4 years ago
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆103Updated 5 years ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 2 years ago
- Code for Graph Normalizing Flows.☆62Updated 5 years ago
- Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling☆227Updated 6 years ago
- Implementation of the paper "Direct Optimization through argmax for discrete Variational Auto-Encoder"☆14Updated 4 years ago
- ☆179Updated 5 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆178Updated 3 years ago
- [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling☆42Updated last year
- Hyperbolic Hierarchical Clustering.☆198Updated last year
- Code for Optimal Transport for structured data with application on graphs☆98Updated 2 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆91Updated 4 years ago
- This repository contains code for applying Riemannian geometry in machine learning.☆78Updated 3 years ago
- Source code for Naesseth et. al. "Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms" (2017)☆39Updated 7 years ago
- Pytorch implementation of Hyperspherical Variational Auto-Encoders☆359Updated 4 years ago
- Experiments for the Neural Autoregressive Flows paper☆123Updated 3 years ago