mattjj / svaeLinks
code for Structured Variational Autoencoders
☆352Updated 6 years ago
Alternatives and similar repositories for svae
Users that are interested in svae are comparing it to the libraries listed below
Sorting:
- Structured Inference Networks for Nonlinear State Space Models☆270Updated 7 years ago
- ☆292Updated 7 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…☆206Updated 7 years ago
- Variational and semi-supervised neural network toppings for Lasagne☆208Updated 8 years ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆101Updated 9 years ago
- Code for "Sequential Neural Models with Stochastic Layers"☆117Updated 8 years ago
- Implementation of a Variational Auto-Encoder in Theano☆380Updated 7 years ago
- A variational recurrent neural network implementation in tensorflow☆103Updated 7 years ago
- Code for the paper "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"☆378Updated 8 years ago
- Implementation of VLAE☆215Updated 7 years ago
- Deep Generative Models with Stick-Breaking Priors☆95Updated 9 years ago
- Deep generative models for semi-supervised learning.☆108Updated 8 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆249Updated 10 months ago
- Unsupervised clustering with (Gaussian mixture) VAEs☆298Updated 8 years ago
- Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch☆359Updated 5 years ago
- Tools for loading standard data sets in machine learning☆203Updated 2 years ago
- Convolutional Gaussian processes based on GPflow.☆96Updated 7 years ago
- Probabilistic Torch is library for deep generative models that extends PyTorch☆889Updated last year
- Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"☆521Updated 6 years ago
- ☆96Updated 6 years ago
- Implementation of Sequential Variational Autoencoder☆88Updated 7 years ago
- 🏃 Implementation of Using Fast Weights to Attend to the Recent Past.☆268Updated 6 years ago
- Code for reproducing results of NIPS 2014 paper "Semi-Supervised Learning with Deep Generative Models"☆515Updated 10 years ago
- Generative moment matching networks☆149Updated 8 years ago
- Optimizing control variates for black-box gradient estimation☆163Updated 5 years ago
- Deep exponential families (DEFs)☆55Updated 7 years ago
- code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"☆402Updated last year
- Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling☆228Updated 7 years ago
- Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.☆192Updated 6 years ago