16lawrencel / vae-normflowLinks
Variational Autoencoders with Normalizing Flows
☆9Updated 7 years ago
Alternatives and similar repositories for vae-normflow
Users that are interested in vae-normflow are comparing it to the libraries listed below
Sorting:
- Variational Autoencoders & Normalizing Flows Project☆18Updated 8 years ago
- Implementation of different Normalizing Flows, NF, Planar Flows, IAF, etc.☆28Updated 7 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- ☆37Updated 5 years ago
- Code for "A-NICE-MC: Adversarial Training for MCMC"☆125Updated 6 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 7 years ago
- A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions☆22Updated 6 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆29Updated 6 years ago
- Variational Autoencoder with Normalizing Flows☆17Updated 8 years ago
- Code release for the ICLR paper☆20Updated 7 years ago
- Natural Gradient, Variational Inference☆29Updated 5 years ago
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- Code to compute the Stein discrepancy between a sample distribution and its target☆16Updated 7 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 3 years ago
- Annealed Importance Sampling (AIS) for generative models.☆16Updated 6 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 6 years ago
- Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"☆25Updated 7 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆69Updated 10 years ago
- a deep recurrent model for exchangeable data☆34Updated 4 years ago
- BIVA: A Very Deep Hierarchy of Latent Variables forGenerative Modeling☆29Updated 5 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆33Updated 2 years ago
- Code for "Inference Suboptimality in Variational Autoencoders"☆14Updated 5 years ago
- A Python implementation of the gradient REBAR estimator.☆46Updated 7 years ago
- Implementation of REBAR in PyTorch☆17Updated 6 years ago
- Experiments for the Neural Autoregressive Flows paper☆124Updated 4 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 4 years ago
- ☆40Updated 6 years ago
- Normalizing Flows in Jax☆108Updated 4 years ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆44Updated 7 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Updated 4 years ago