yaringal / VSSGPLinks
Variational Sparse Spectrum Gaussian Process toolkit
☆22Updated 10 years ago
Alternatives and similar repositories for VSSGP
Users that are interested in VSSGP are comparing it to the libraries listed below
Sorting:
- Preconditioning Kernel Matrices☆15Updated 9 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆34Updated 10 years ago
- Variational Fourier Features☆86Updated 4 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Experiment code for Stochastic Gradient Hamiltonian Monte Carlo☆106Updated 7 years ago
- ☆12Updated 10 years ago
- ☆68Updated last year
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆33Updated 9 years ago
- Complete dictionary learning over the sphere using trust-region method☆16Updated 9 years ago
- A collection of Gaussian process models☆30Updated 7 years ago
- Implementation of an algorithm for Markov chain Monte Carlo with data subsampling☆32Updated 9 years ago
- Parameterization Framework for parameterized model creation and handling.☆49Updated last month
- Neural Processes implementation for 1D regression☆65Updated 6 years ago
- ☆40Updated 6 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 8 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆69Updated 10 years ago
- Bayesian optimization in high-dimensions via random embedding.☆114Updated 12 years ago
- ☆26Updated 7 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 10 years ago
- Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.☆43Updated 11 years ago
- Nonlinear Information Bottleneck☆54Updated 3 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 9 years ago
- Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"☆25Updated 7 years ago
- Open access book on variational Bayesian methods written collaboratively☆28Updated 10 years ago
- This repository houses the code for the community website http://www.probabilistic-numerics.org☆35Updated 5 years ago
- Code for density estimation with nonparametric cluster shapes.☆39Updated 9 years ago
- Implementation of Hamiltonian Monte Carlo using Google's TensorFlow☆47Updated 9 years ago
- Additional kernels that can be used with scikit-learn's Gaussian Process module☆82Updated last year
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆150Updated 6 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆41Updated 8 years ago