pamattei / miwae
Implementation of the MIWAE method for deep generative modelling of incomplete data sets.
☆37Updated last year
Alternatives and similar repositories for miwae:
Users that are interested in miwae are comparing it to the libraries listed below
- ☆90Updated last year
- Code for `BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery`, Neurips 2021☆25Updated 3 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆71Updated 2 years ago
- Gaussian Process Prior Variational Autoencoder☆83Updated 6 years ago
- A Pytorch implementation of missing data imputation using optimal transport.☆96Updated 3 years ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆27Updated 5 years ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆26Updated last year
- PyTorch implementation of "MIDA: Multiple Imputation using Denoising Autoencoders"☆28Updated 6 years ago
- TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155☆134Updated last year
- An encoder-decoder framework for learning from incomplete data☆46Updated last year
- Code accompanying the notMIWAE paper☆14Updated 4 years ago
- ☆38Updated 4 years ago
- ☆19Updated 4 years ago
- Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)☆32Updated 3 years ago
- Code for ICE-BeeM paper - NeurIPS 2020☆86Updated 3 years ago
- VAEs and nonlinear ICA: a unifying framework☆34Updated 4 years ago
- ☆42Updated 5 years ago
- Code for: "Neural Controlled Differential Equations for Online Prediction Tasks"☆38Updated 2 years ago
- Code for the paper "Improving Missing Data Imputation with Deep Generative Models"☆32Updated 5 years ago
- A PyTorch Implementation of VaDE(https://arxiv.org/pdf/1611.05148.pdf)☆36Updated 4 years ago
- Code and data for the paper `Bayesian Semi-supervised Learning with Graph Gaussian Processes'☆38Updated 6 years ago
- ☆37Updated 6 years ago
- MisGAN: Learning from Incomplete Data with GANs☆80Updated last year
- Ladder Variational Autoencoders (LVAE) in PyTorch☆91Updated 4 years ago
- Implementation of "Learning latent subspaces in variational autoencoders"☆20Updated 5 years ago
- Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)☆27Updated 2 years ago
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆58Updated 4 years ago
- Classifier based mutual information, conditional mutual information estimation; conditional independence testing☆34Updated 5 years ago
- Learning Autoencoders with Relational Regularization☆46Updated 4 years ago
- learning point processes by means of optimal transport and wasserstein distance☆54Updated 7 years ago