y0ast / VIMCOLinks
Implementation of "Variational Inference for Monte Carlo Objectives"
☆21Updated 5 years ago
Alternatives and similar repositories for VIMCO
Users that are interested in VIMCO are comparing it to the libraries listed below
Sorting:
- Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.☆33Updated 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
- Code release for the paper "Calibrating Energy-based Generative Adversarial Networks"☆24Updated 8 years ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆103Updated 9 years ago
- A generic Monte Carlo method based on the Gumbel-Max trick.☆32Updated 9 years ago
- ☆57Updated 7 years ago
- Implementation of auxiliary deep generative models for semi-supervised learning☆28Updated 9 years ago
- Deep generative models for semi-supervised learning.☆109Updated 9 years ago
- Code for "Sequential Neural Models with Stochastic Layers"☆117Updated 9 years ago
- Deep Generative Models with Stick-Breaking Priors☆96Updated 9 years ago
- Topics on theoretical, mathematical aspects of DL☆72Updated 9 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆64Updated 7 years ago
- A PyTorch implementation of Recurrent Additive Networks by Lee et al. (2017)☆29Updated 8 years ago
- Implementation of the reweighted wake-sleep machine learning algorithm☆42Updated 9 years ago
- ☆89Updated 9 years ago
- An iterative neural autoregressive distribution estimator (NADE-K)☆26Updated 11 years ago
- Evaluation code with models for the paper "On the Quantitative Analysis of Decoder-Based Generative Models"☆130Updated 8 years ago
- Gaussian Processes in Pytorch☆75Updated 5 years ago
- Generative Models with TensorFlow☆30Updated 9 years ago
- Generative moment matching networks☆151Updated 9 years ago
- Understanding Short-Horizon Bias in Stochastic Meta-Optimization☆37Updated 7 years ago
- ☆11Updated 9 years ago
- Weight initialization schemes for PyTorch nn.Modules☆70Updated 8 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆66Updated 5 years ago
- ACDC: A Structured Efficient Linear Layer☆44Updated 9 years ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆46Updated 7 years ago
- Learning RNN Hierarchies☆45Updated 9 years ago
- Code for paper "Full-Capacity Unitary Recurrent Neural Networks"☆54Updated 8 years ago
- Torch implementation of the Deep Network for Global Optimization (DNGO)☆51Updated 9 years ago
- Structured Prediction Energy Networks in Torch☆132Updated 8 years ago