YingzhenLi / Dropout_BBalpha
Implementations of the ICML 2017 paper (with Yarin Gal)
☆38Updated 7 years ago
Alternatives and similar repositories for Dropout_BBalpha:
Users that are interested in Dropout_BBalpha are comparing it to the libraries listed below
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 4 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆63Updated 4 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 5 years ago
- Implementation of Sequential Variational Autoencoder☆86Updated 7 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Updated 4 years ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆44Updated 6 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 5 years ago
- Convolutional Gaussian processes based on GPflow.☆96Updated 7 years ago
- Implementation of auxiliary deep generative models for semi-supervised learning☆28Updated 9 years ago
- Variance Networks: When Expectation Does Not Meet Your Expectations, ICLR 2019☆39Updated 5 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- ☆40Updated 5 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆40Updated 8 years ago
- Gaussian Processes in Pytorch☆75Updated 5 years ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆100Updated 8 years ago
- Deep convolutional gaussian processes.☆78Updated 5 years ago
- Demos demonstrating the difference between homoscedastic and heteroscedastic regression with dropout uncertainty.☆140Updated 9 years ago
- An implementation of "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles" (http://arxiv.org/abs/1612.01474)☆34Updated 8 years ago
- TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper☆51Updated 6 years ago
- Implementation of Coulomb GANs☆62Updated 3 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- Contains code relating to this arxiv paper https://arxiv.org/abs/1802.03761☆37Updated 6 years ago
- a deep recurrent model for exchangeable data☆34Updated 4 years ago
- Deep variational inference in tensorflow☆56Updated 6 years ago
- TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.☆44Updated 6 years ago
- Variational Fourier Features☆83Updated 3 years ago
- Annealed Importance Sampling (AIS) for generative models.☆16Updated 6 years ago
- Bayesian Weight Uncertainty Dense Layer for Keras☆48Updated 8 years ago
- Repo for a paper about constructing priors on very deep models.☆72Updated 8 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆63Updated 6 years ago