trungngv / agpLinks
Automated Variational Inference for Gaussian Process Models
☆14Updated 9 years ago
Alternatives and similar repositories for agp
Users that are interested in agp are comparing it to the libraries listed below
Sorting:
- Code for the paper 'Efficient Variational Inference for Gaussian Process Regression Networks'☆22Updated 11 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 10 years ago
- Variational Bayesian Mixture of Factor Analysers☆24Updated 10 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 8 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆33Updated 9 years ago
- Code for the paper 'Fast Allocation of Gaussian Process Experts'☆15Updated 11 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆69Updated 10 years ago
- Python package for inference with Gaussian processes☆11Updated 10 years ago
- Nonparametric Active Sampling☆11Updated 6 years ago
- ☆46Updated 11 years ago
- Vector-Space Markov Random Fields☆21Updated 10 years ago
- An iterative neural autoregressive distribution estimator (NADE-K)☆26Updated 10 years ago
- Collaborative filtering with the GP-LVM☆25Updated 10 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Updated 11 years ago
- LibCP -- A Library for Conformal Prediction☆12Updated 10 years ago
- ☆12Updated 2 years ago
- Using GP and metafeatures to grow better forests for prediction.☆10Updated 8 years ago
- ☆10Updated 8 years ago
- Code for AutoGP☆27Updated 6 years ago
- Learning algorithms introduced in "A PAC-Bayes Sample Compression Approach to Kernel Methods" (ICML 2011)☆10Updated 10 years ago
- SGCRFpy: Sparse Gaussian Conditional Random Fields in Python