mattjj / svae
code for Structured Variational Autoencoders
☆351Updated 6 years ago
Alternatives and similar repositories for svae:
Users that are interested in svae are comparing it to the libraries listed below
- Variational and semi-supervised neural network toppings for Lasagne☆208Updated 8 years ago
- Structured Inference Networks for Nonlinear State Space Models☆267Updated 7 years ago
- Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT☆206Updated 9 years ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆100Updated 8 years ago
- Deep generative models for semi-supervised learning.☆108Updated 8 years ago
- Code for the paper "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"☆376Updated 8 years ago
- Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.☆192Updated 6 years ago
- This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoe…☆206Updated 6 years ago
- Code for reproducing results of NIPS 2014 paper "Semi-Supervised Learning with Deep Generative Models"☆511Updated 10 years ago
- Code for "Sequential Neural Models with Stochastic Layers"☆115Updated 8 years ago
- Implementation of a Variational Auto-Encoder in Theano☆379Updated 7 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆249Updated 6 months ago
- Convolutional Gaussian processes based on GPflow.☆96Updated 7 years ago
- ☆93Updated 6 years ago
- repository for the Variational Autoencoder (VAE) blogpost series from Fast Forward Labs☆102Updated 7 years ago
- Dropout As A Bayesian Approximation: Code☆201Updated 9 years ago
- What My Deep Model Doesn't Know...☆117Updated 9 years ago
- Deep Generative Models with Stick-Breaking Priors☆95Updated 8 years ago
- Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch☆358Updated 5 years ago
- Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832☆248Updated 6 years ago
- Generative moment matching networks☆149Updated 8 years ago
- Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"☆520Updated 6 years ago
- Implementation of VLAE☆215Updated 7 years ago
- Probabilistic Torch is library for deep generative models that extends PyTorch☆887Updated 9 months ago
- Replicating "Understanding disentangling in β-VAE"☆195Updated 6 years ago
- Tools for loading standard data sets in machine learning☆203Updated 2 years ago
- Experiment code for Stochastic Gradient Hamiltonian Monte Carlo☆105Updated 7 years ago
- We use a modified neural network instead of Gaussian process for Bayesian optimization.☆108Updated 7 years ago
- ☆291Updated 6 years ago
- ☆154Updated 5 years ago