Bonnevie / rebarLinks
A Python implementation of the gradient REBAR estimator.
☆46Updated 7 years ago
Alternatives and similar repositories for rebar
Users that are interested in rebar are comparing it to the libraries listed below
Sorting:
- RL Experiments from our paper "Backpropagation Through the Void": https://arxiv.org/abs/1711.00123. Lovingly forked from OpenAI's RL Base…☆38Updated 7 years ago
- Optimizing control variates for black-box gradient estimation☆163Updated 5 years ago
- Lagrangian VAE☆28Updated 6 years ago
- Annealed Importance Sampling (AIS) for generative models.☆16Updated 6 years ago
- Implementation of REBAR in PyTorch☆17Updated 6 years ago
- ☆37Updated 6 years ago
- A generic Monte Carlo method based on the Gumbel-Max trick.☆32Updated 9 years ago
- Autoregressive Energy Machines☆78Updated 2 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 7 years ago
- Code for "A-NICE-MC: Adversarial Training for MCMC"☆125Updated 6 years ago
- Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling☆91Updated 8 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- Code release for the paper "Calibrating Energy-based Generative Adversarial Networks"☆24Updated 7 years ago
- ☆133Updated 7 years ago
- Understanding Short-Horizon Bias in Stochastic Meta-Optimization☆37Updated 7 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 9 years ago
- Code for "Inference Suboptimality in Variational Autoencoders"☆14Updated 5 years ago
- A Tensorfflow implementation of Attend, Infer, Repeat☆81Updated 6 years ago
- Implementation of Coulomb GANs☆62Updated 3 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Updated 4 years ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆101Updated 9 years ago
- Implementations of polygamma, lgamma, and beta functions for PyTorch☆24Updated 8 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 4 years ago
- Forward-mode Automatic Differentiation for TensorFlow☆139Updated 7 years ago
- Summaries and minimal implementations of ML / statistics research articles.☆39Updated 4 years ago
- Evaluation code with models for the paper "On the Quantitative Analysis of Decoder-Based Generative Models"☆130Updated 7 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆42Updated 6 years ago
- Measuring compositionality in representation learning☆73Updated 6 years ago
- Gaussian Processes in Pytorch☆75Updated 5 years ago