arahuja / hamiltonian-monte-carlo
Implementation of Hamiltonian Monte Carlo using Google's TensorFlow
☆48Updated 8 years ago
Related projects ⓘ
Alternatives and complementary repositories for hamiltonian-monte-carlo
- Repo for a paper about constructing priors on very deep models.☆70Updated 8 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 9 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆31Updated 8 years ago
- Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"☆24Updated 6 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 6 years ago
- AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)☆35Updated 6 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆67Updated 10 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆40Updated 7 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 5 years ago
- Code for "A-NICE-MC: Adversarial Training for MCMC"☆126Updated 6 years ago
- Gaussian Process Random Fields☆21Updated 9 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆63Updated 6 years ago
- Gaussian Processes in Pytorch☆74Updated 4 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 7 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆31Updated 4 years ago
- Experiment code for Stochastic Gradient Hamiltonian Monte Carlo☆106Updated 6 years ago
- Backpropagate derivatives through the Cholesky decomposition☆57Updated 4 years ago
- Code for "Generative Adversarial Training for Markov Chains" (ICLR 2017 Workshop)☆80Updated 7 years ago
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆27Updated 5 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 7 years ago
- Code to compute the Stein discrepancy between a sample distribution and its target☆16Updated 7 years ago
- TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network☆182Updated 6 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆32Updated 9 years ago
- Columbia Advanced Machine Learning Seminar☆24Updated 6 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 4 years ago
- code for stochastic expectation propagation☆16Updated 9 years ago
- Convolutional Gaussian processes based on GPflow.☆95Updated 7 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆38Updated 5 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 3 years ago