adjidieng / REM
Reweighted Expectation Maximization
☆29Updated 5 years ago
Alternatives and similar repositories for REM:
Users that are interested in REM are comparing it to the libraries listed below
- Code for the Thermodynamic Variational Objective☆26Updated 2 years ago
- Python implementation of projection losses.☆25Updated 5 years ago
- Summaries and minimal implementations of ML / statistics research articles.☆39Updated 4 years ago
- ☆37Updated 5 years ago
- A Python implementation of the gradient REBAR estimator.☆46Updated 6 years ago
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆63Updated 5 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 4 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- A generic Monte Carlo method based on the Gumbel-Max trick.☆32Updated 8 years ago
- NeurIPS 2018. Linear-time model comparison tests.☆18Updated 5 years ago
- Implementation of "Variational Inference for Monte Carlo Objectives"☆21Updated 4 years ago
- Implementation of REBAR in PyTorch☆17Updated 6 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 7 years ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆44Updated 7 years ago
- Recognizing and exploiting conjugacy without a domain-specific language☆36Updated 5 years ago
- A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions☆22Updated 5 years ago
- Code for "Inference Suboptimality in Variational Autoencoders"☆14Updated 5 years ago
- Graduate topics course on learning discrete latent structure.☆67Updated 6 years ago
- BIVA: A Very Deep Hierarchy of Latent Variables forGenerative Modeling☆29Updated 5 years ago
- Implicit generative models and related stuff based on the MMD, in PyTorch☆16Updated 4 years ago
- Variational Autoencoders & Normalizing Flows Project☆18Updated 8 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆29Updated 5 years ago
- ☆49Updated 4 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆33Updated last year
- Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling☆91Updated 7 years ago
- A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.☆21Updated 5 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 5 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 3 years ago