enalisnick / stick-breaking_dgmsLinks
Deep Generative Models with Stick-Breaking Priors
☆96Updated 9 years ago
Alternatives and similar repositories for stick-breaking_dgms
Users that are interested in stick-breaking_dgms are comparing it to the libraries listed below
Sorting:
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆103Updated 9 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆66Updated 5 years ago
- Implementation of Sequential Variational Autoencoder☆90Updated 8 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 5 years ago
- Gaussian Processes in Pytorch☆75Updated 5 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 5 years ago
- Generative moment matching networks☆151Updated 9 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆64Updated 7 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆41Updated 8 years ago
- Convolutional Gaussian processes based on GPflow.☆95Updated 7 years ago
- Implementation of VLAE☆216Updated 7 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- ☆152Updated 7 years ago
- Variational Auto-encoder with Non-parametric Bayesian Prior☆43Updated 8 years ago
- Code for "Sequential Neural Models with Stochastic Layers"☆117Updated 8 years ago
- 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
- MADE: Masked Autoencoder for Distribution Estimation☆103Updated 5 years ago
- Deep generative models for semi-supervised learning.☆109Updated 8 years ago
- Optimizing control variates for black-box gradient estimation☆163Updated 6 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 8 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
- Implementation of "Variational Inference for Monte Carlo Objectives"☆21Updated 5 years ago
- Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT☆207Updated 9 years ago
- This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoe…☆208Updated 7 years ago
- Tensorflow implementation of Hyperspherical Variational Auto-Encoders☆232Updated 6 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- Variational Autoencoders with Gaussian Mixture Latent Space☆36Updated 8 years ago
- ☆62Updated 9 years ago
- Source code for Naesseth et. al. "Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms" (2017)☆38Updated 8 years ago
- An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU…☆72Updated 7 years ago