davmre / gprfLinks
Gaussian Process Random Fields
☆21Updated 9 years ago
Alternatives and similar repositories for gprf
Users that are interested in gprf are comparing it to the libraries listed below
Sorting:
- Backpropagate derivatives through the Cholesky decomposition☆58Updated 5 years ago
- Torch implementation of the Deep Network for Global Optimization (DNGO)☆51Updated 9 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆33Updated 9 years ago
- Deep GPs with GPy☆31Updated 9 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 9 years ago
- A Gaussian process toolbox in python☆42Updated 13 years ago
- Convolutional Gaussian processes based on GPflow.☆95Updated 7 years ago
- Experiment code for Stochastic Gradient Hamiltonian Monte Carlo☆106Updated 7 years ago
- Columbia Advanced Machine Learning Seminar☆24Updated 7 years ago
- Implementation of Hamiltonian Monte Carlo using Google's TensorFlow☆47Updated 9 years ago
- An iterative neural autoregressive distribution estimator (NADE-K)☆26Updated 10 years ago
- Gaussian Processes in Pytorch☆75Updated 5 years ago
- ☆11Updated 8 years ago
- Variational Fourier Features☆86Updated 4 years ago
- Collaborative filtering with the GP-LVM☆25Updated 10 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆69Updated 7 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆34Updated 10 years ago
- Code for paper "Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation"☆31Updated 5 years ago
- An implementation of the Hessian-free optimization algorithm in Theano☆61Updated 13 years ago
- Code for the arxiv paper☆9Updated 10 years ago
- An implementation of "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles" (http://arxiv.org/abs/1612.01474)☆34Updated 8 years ago
- Repository for Chained Gaussian Processes☆14Updated 9 years ago
- more composable than other neural network libraries☆42Updated 8 years ago
- ☆45Updated 9 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 8 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 5 years ago
- Ordered Weighted L1 regularization for classification and regression in Python☆52Updated 6 years ago
- We use a modified neural network instead of Gaussian process for Bayesian optimization.☆108Updated 8 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 10 years ago