JohanYe / IWAE-pytorch
Simple Importance Weighted Autoencoders (IWAE) implementation in Pytorch
☆14Updated 4 years ago
Alternatives and similar repositories for IWAE-pytorch
Users that are interested in IWAE-pytorch are comparing it to the libraries listed below
Sorting:
- ☆29Updated 3 years ago
- Learning generative models with Sinkhorn Loss☆28Updated 6 years ago
- A PyTorch Implementation of the Importance Weighted Autoencoders☆40Updated 6 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- ☆13Updated 2 years ago
- Featurized Density Ratio Estimation☆20Updated 3 years ago
- Implementation of the MIWAE method for deep generative modelling of incomplete data sets.☆38Updated last year
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆44Updated 2 years ago
- ☆13Updated 6 years ago
- PyTorch implementation of Stein Variational Gradient Descent☆44Updated last year
- Code for the paper Semi-Conditional Normalizing Flows for Semi-Supervised Learning☆28Updated 3 years ago
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆62Updated last year
- ☆17Updated last year
- Code for Sliced Gromov-Wasserstein☆68Updated 5 years ago
- ☆13Updated last year
- Stochastic algorithms for computing Regularized Optimal Transport☆57Updated 6 years ago
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆28Updated 5 years ago
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆42Updated 2 years ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).☆21Updated 8 months ago
- ☆24Updated 3 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆103Updated 6 years ago
- GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134☆22Updated 3 years ago
- Spatio-temporal alignements: Optimal transport in space and time☆46Updated 3 weeks ago
- Variational Autoencoders & Normalizing Flows Project☆18Updated 8 years ago
- ☆15Updated 5 years ago
- This is the official source code for Sequential Neural Processes.☆40Updated 2 years ago
- The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…☆56Updated 2 years ago
- ☆53Updated 9 months ago
- Code for "Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance", NeurIPS 2022.☆17Updated 2 years ago
- General Invertible Transformations for Flow-based Generative Models☆18Updated 4 years ago