ermongroup / a-nice-mc
Code for "A-NICE-MC: Adversarial Training for MCMC"
☆126Updated 6 years ago
Alternatives and similar repositories for a-nice-mc:
Users that are interested in a-nice-mc are comparing it to the libraries listed below
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 7 years ago
- Code for "Generative Adversarial Training for Markov Chains" (ICLR 2017 Workshop)☆80Updated 7 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 4 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆33Updated last year
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆101Updated 9 years ago
- Gaussian Processes in Pytorch☆75Updated 5 years ago
- ☆84Updated 10 years ago
- Experiments for the Neural Autoregressive Flows paper☆124Updated 3 years ago
- Annealed Importance Sampling (AIS) for generative models.☆16Updated 6 years ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆54Updated 6 months ago
- A tensorflow implementation of VAE training with Renyi divergence☆31Updated 8 years ago
- ☆37Updated 5 years ago
- Implementation of Sequential Variational Autoencoder☆88Updated 7 years ago
- Convolutional Gaussian processes based on GPflow.☆96Updated 7 years ago
- TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network☆182Updated 6 years ago
- Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling☆91Updated 7 years ago
- Code for "Sequential Neural Models with Stochastic Layers"☆117Updated 8 years ago
- Implementation of VLAE☆215Updated 7 years ago
- ☆180Updated 5 years ago
- Implementation of Real-NVP in Tensorflow☆102Updated 6 years ago
- Implementation of Coulomb GANs☆62Updated 3 years ago
- Understanding normalizing flows☆132Updated 5 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 6 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆63Updated 6 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Updated 4 years ago
- code for steinGAN - Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning☆26Updated 6 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆41Updated 8 years ago
- Experiment code for Stochastic Gradient Hamiltonian Monte Carlo☆105Updated 7 years ago
- AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)☆35Updated 6 years ago