enalisnick / stick-breaking_dgms
Deep Generative Models with Stick-Breaking Priors
☆95Updated 8 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
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆99Updated 8 years ago
- Variational Auto-encoder with Non-parametric Bayesian Prior☆42Updated 7 years ago
- Gaussian Processes in Pytorch☆75Updated 4 years ago
- Convolutional Gaussian processes based on GPflow.☆95Updated 7 years ago
- Deep generative models for semi-supervised learning.☆109Updated 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 8 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆31Updated 4 years ago
- ☆64Updated 8 years ago
- code release for the NIPS 2016 paper☆26Updated 8 years ago
- Source code for Naesseth et. al. "Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms" (2017)☆39Updated 7 years ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆53Updated 3 months ago
- code for steinGAN - Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning☆26Updated 5 years ago
- Implementation of Sequential Variational Autoencoder☆85Updated 7 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆40Updated 8 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 4 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Updated 4 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 5 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆63Updated 6 years ago
- Variational inference for Gaussian mixture models☆34Updated 11 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 5 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆53Updated 7 years ago
- An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU…☆73Updated 6 years ago
- Optimizing control variates for black-box gradient estimation☆162Updated 5 years ago
- A tensorflow implementation of VAE training with Renyi divergence☆31Updated 8 years ago
- A Python implementation of the gradient REBAR estimator.☆46Updated 6 years ago
- Code for "Sequential Neural Models with Stochastic Layers"☆115Updated 8 years ago
- Variational Autoencoders with Gaussian Mixture Latent Space☆36Updated 7 years ago
- Annealed Importance Sampling (AIS) for generative models.☆16Updated 6 years ago