sremes / nssm-gp
Non-stationary spectral mixture kernels implemented in GPflow
☆28Updated 6 years ago
Alternatives and similar repositories for nssm-gp:
Users that are interested in nssm-gp are comparing it to the libraries listed below
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- Implementation of stochastic variational inference for differentially deep gaussian processes☆15Updated 6 years ago
- Library for Deep Gaussian Processes based on GPflow☆19Updated 4 years ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆41Updated 7 months ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 5 years ago
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆18Updated 4 years ago
- Gaussian Processes for Sequential Data☆18Updated 4 years ago
- Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features☆23Updated 5 years ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆27Updated last year
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆30Updated 8 months ago
- Python and MATLAB code for Stein Variational sampling methods☆24Updated 5 years ago
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Updated last year
- Code for efficiently sampling functions from GP(flow) posteriors☆70Updated 4 years ago
- ☆28Updated 6 years ago
- Heterogeneous Multi-output Gaussian Processes☆52Updated 4 years ago
- Continual Gaussian Processes☆32Updated last year
- ☆40Updated 5 years ago
- Implementation of GPLVM and Bayesian GPLVM in pytorch/gpytorch☆15Updated 3 years ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆62Updated 2 months ago
- Robust initialisation of inducing points in sparse variational GP regression models.☆33Updated 2 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 7 years ago
- Recyclable Gaussian Processes☆11Updated 2 years ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆38Updated 5 years ago
- Modular Gaussian Processes☆15Updated 3 years ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆24Updated 2 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆149Updated 6 years ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆19Updated 3 years ago
- Nonparametric Differential Equation Modeling☆53Updated last year
- Code for Randomly Projected Additive Gaussian Processes☆25Updated 5 years ago