paruby / FactorVAELinks
A implementation of FactorVAE from the paper Disentangling by Factorising, Kim & Mnih 2018 (https://arxiv.org/pdf/1802.05983.pdf )
☆16Updated 7 years ago
Alternatives and similar repositories for FactorVAE
Users that are interested in FactorVAE are comparing it to the libraries listed below
Sorting:
- Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling☆231Updated 7 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆102Updated 7 years ago
- PyTorch Implementation of Neural Statistician☆61Updated 3 years ago
- ☆79Updated 8 months ago
- Gaussian Process Prior Variational Autoencoder☆87Updated 7 years ago
- Scaled MMD GAN☆36Updated 6 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆86Updated 5 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆42Updated 3 years ago
- Experiments for the Neural Autoregressive Flows paper☆125Updated 4 years ago
- This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).☆52Updated 4 years ago
- ☆181Updated 6 years ago
- ☆93Updated 3 years ago
- ☆146Updated 8 years ago
- ☆91Updated 6 years ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆54Updated last year
- Code for some of the experiments I did with variational autoencoders on multi-modality and atari video prediction. Atari video prediction…☆62Updated 9 years ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 3 years ago
- ☆238Updated 6 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 6 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆34Updated 2 years ago
- ☆155Updated 5 years ago
- a python implementation of various versions of the information bottleneck, including automated parameter searching☆131Updated 5 years ago
- ☆110Updated 8 years ago
- Code for "A Meta Transfer Objective For Learning To Disentangle Causal Mechanisms"☆127Updated 6 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆91Updated 5 years ago
- A PyTorch library for two-sample tests☆241Updated last month
- Implementation of the Sliced Wasserstein Autoencoders☆91Updated 7 years ago
- Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mand…☆106Updated 6 years ago
- ☆89Updated 4 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆181Updated 4 years ago