glouppe / paper-avoLinks
Repository for the paper "Adversarial Variational Optimization of Non-Differentiable Simulators"
☆16Updated 7 years ago
Alternatives and similar repositories for paper-avo
Users that are interested in paper-avo are comparing it to the libraries listed below
Sorting:
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 6 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 5 years ago
- Forward-mode Automatic Differentiation for TensorFlow☆139Updated 7 years ago
- Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.☆68Updated 7 years ago
- Gaussian Processes in Pytorch☆75Updated 5 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- A generic Monte Carlo method based on the Gumbel-Max trick.☆32Updated 9 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆64Updated 7 years ago
- RNNprop☆36Updated 8 years ago
- Implementation of "Variational Inference for Monte Carlo Objectives"☆21Updated 5 years ago
- Code for paper "Full-Capacity Unitary Recurrent Neural Networks"☆54Updated 8 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆41Updated 9 years ago
- Implementation of Coulomb GANs☆62Updated 4 years ago
- NeurIPS 2018. Linear-time model comparison tests.☆18Updated 5 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆33Updated 9 years ago
- ☆62Updated 9 years ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆47Updated 7 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 6 years ago
- Generative models and other stuff too, maybe, perhaps even probably☆16Updated 10 years ago
- Probabilistic Programming and Statistical Inference in PyTorch☆111Updated 8 years ago
- ☆90Updated 8 years ago
- Code for the "Binding via Reconstruction Clustering" paper☆21Updated 9 years ago
- Convolutional Gaussian processes based on GPflow.☆95Updated 8 years ago
- Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"☆26Updated 7 years ago
- Implementations of polygamma, lgamma, and beta functions for PyTorch☆24Updated 8 years ago
- Variational Bayes for NN in Torch7 (http://papers.nips.cc/paper/4329-practical-variational-inference-for-neural-networks.pdf)☆10Updated 10 years ago
- Torch implementation of the Deep Network for Global Optimization (DNGO)☆51Updated 9 years ago
- Implementation of the reweighted wake-sleep machine learning algorithm☆42Updated 9 years ago
- Backprop training of recurrent neural networks with Hebbian plastic connections☆20Updated 4 years ago
- MADE: Masked Autoencoder for Distribution Estimation☆103Updated 5 years ago